Considering ERP in Manufacturing? Determine ROI

CONSIDERING ERP IN MANUFACTURING?
Manufacturing ERP (enterprise resource planning) benefits organizations in multiple ways, as it simplifies decision-making for top management by utilizing data from smart dashboards and consolidated data. The requirements of manufacturing companies are extremely precise. These include elements like planning and management. Manufacturing ERP systems are designed to meet these requirements.

In other words, manufacturing ERP is a specialized form of an ERP system designed to streamline and automate all manufacturing processes. It applies the same ERP principles to manufacturing organizations to increase efficiency.

Numerous businesses have implemented or are planning to implement ERP systems in their manufacturing organizations. They are, however, constantly on the lookout for the best return on investment when it comes to manufacturing ERP software. In this article, we'll look at how to calculate the return on investment for manufacturing ERP solutions to help you get a better grasp of the investment viewpoint for manufacturing ERP.


How to Determine Manufacturing ERP ROI?


Organize Data for ROI

ERP evaluation, selection, and implementation require collecting a large amount of business data. Putting all of this information together can be a daunting task. Therefore, individuals from each department should provide objective feedback to help mitigate bias and ensure consistency.


Focus on People and Processes Rather than Technology

You can increase your ROI by mitigating the technical aspects of an ERP system. Get an understanding of how it will improve your processes and how much money you will save over time due to those improvements. Your return on investment will depend on how well you effectively manage business process reengineering and organizational change.


Invest Time and Effort in Your ERP Deployment

It is critical to set realistic expectations and forecast the ROI benefits. Estimate the project's time, cost, and effort by consulting an expert, preferably not the ERP vendor, as their estimates may not be entirely accurate for their benefit.


Predicting ERP Cost

Costs associated with ERP, such as licenses and hardware, are easily quantifiable. Apart from these fees, additional expenses must be addressed and evaluated. They include subscription fees for SaaS, consulting, maintenance, and user fees.

Consider the following questions:
  • How you will implement your solution: Cloud or On-Premise?
  • How many users are required?
  • What equipment do you require to operate your business?
  • What implementation and training requirements do you have?

Calculating these expenditures may take considerable time. Mentioned below is the list of costs that can be estimated prior to investing:


Out-of-the-box System Price

Many business owners believe that this ERP cost is straightforward to determine because it is based on the vendor's quote. That, however, depends upon the modules and deployment options required in your business.

License Fees – on Premise Vs. SAAS
On-premise ERP software runs on your company's servers. This incurs a one-time license charge. On-premise deployments need organizations to maintain their servers to assure software functionality both in the present and future. It is therefore important to factor in these costs. Licenses are “repurchased” every five years, which is another cost to consider.

Cloud ERP SaaS is hosted remotely on a third-party server and is accessible online. You must pay a monthly subscription fee until you stop using the system. Updates to the ERP system are free.


Consultancy Costs and Vendor Implementation Fees

A consultant's price must be considered if you hire one. To minimize future troubles and costs, it is vital to identify the actions and timeframes they will accomplish.

ERP consultants provide implementation services such as data migration, project management, and system customization. Some consultants charge extra for these services, so be careful to ask how their pricing operates.


Maintenance Cost

Your servers and machines should meet the vendor's minimal requirements. You may need to update your equipment to support the ERP deployment, which will affect your ROI calculations.

Maintenance expenses should include IT labor, extra server expenditures, and other departmental charges. Also, the ERP vendor may charge an annual maintenance fee to upgrade to new technology.


User Cost

Training your employees on the new ERP system is critical to its efficiency. Training takes time and money. It will depend on how many employees need to be trained, how difficult the processes are to learn, and whether you need to engage extra trainers or managers to help speed up new production processes.

The budget should never be exceeded; otherwise, the ROI will suffer.


Final Word

A manufacturing ERP system is an integral part of any modern manufacturing organization. It helps your business in multiple ways to accelerate operations and business processes. Always conduct a thorough analysis of why you are looking out for ERP solutions and how they will help your businesses in becoming more productive than it is now.

The ROI for manufacturing ERP is calculated by comparing the anticipated cost of ERP to the expected benefits (direct and indirect cost savings) of installing the ERP system. ROI is computed by adding the predicted ERP returns and dividing by the ERP TCO (Total Cost of Ownership); the resulting quotient is the ERP ROI.


FAQ


What is ERP used for in production?

Manufacturing ERP is a centralized approach to managing production and payroll activities. ERP improves operational efficiency by providing unprecedented visibility, coordination, and management across a company's many activities.


What are the types of ERP?

There are three main types of ERP systems, each with varying deployment models. ERP systems can be cloud-based, on-premises, or hybrid.


How long does it take for an ERP investment to pay off?

A typical project can take between 12 and 24 months to complete, depending on the scope and complexity of the work.

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Manufacturing Technology

Building a Smart Factory is Possible Using Machine Learning

Article | December 7, 2021

Machine learning in manufacturing is becoming more widespread, with businesses like GE, Siemens, Intel, Bosch, NVIDIA, and Microsoft all investing heavily in machine learning-based ways to enhance manufacturing. Machine learning is predicted to expand from $1 billion in 2016 to USD 9 billion by 2022at a compound annual growth rate (CAGR) of 44% throughout the forecast period, according to Markets & Markets. The technology is being utilized to cut labor costs, achieve better transition times, and increase manufacturing speed. “I advocate business leaders get to know more about what AI can do and then leverage AI in proofs of concept.” – Michael Walton, Director and Industry Executive, Microsoft speaking with Media 7 Machine learning can help enhance manufacturing processes at the industrial level. This can be achieved by assessing current manufacturing models and identifying flaws and pain factors. Businesses can rapidly address any difficulties to keep the manufacturing pipeline running smoothly. Let us explore how machine learning is transforming manufacturing operations. How Machine Learning Is Transforming Manufacturing Operations “The greatest benefit of machine learning may ultimately be not what the machines learn but what we learn by teaching them.” - Pedro Domingos Machine learning in manufacturing is revolutionizing manufacturing operations and making them more advanced and result-oriented, so let's have a look at how this is unfolding. Allows for Predictive Maintenance Machine learning provides predictive maintenance by forecasting equipment breakdowns and eliminating wasteful downtime. Manufacturers spend far too much time correcting problems instead of planning upkeep. In addition to enhancing asset dependability and product quality, machine learning systems can forecast equipment breakdown with 92% accuracy. Machine learning and predictive analytics increased overall equipment efficiency from 65% to 85%. Increases Product Inspection and Quality Control Machine learning is also utilized for product inspection. Automated inspection and supervision using ML-based computer vision algorithms can discriminate between excellent and bad products. These algorithms simply need excellent samples to train; therefore a fault library is not required. However, an algorithm that compares samples to the most common errors can be built. Machine learning reduces visual quality control costs in manufacturing. Forbe's says AI-powered quality testing can boost detection rates by up to 80%. Logistics-related Tasks Are Automated To run a production line, industrial companies need considerable logistics skills. The use of machine learning-based solutions can improve logistics efficiency and save expenses. Manual, time-consuming operations like logistics and production-related documentation cost the average US business $171,340 annually. It saves thousands of manual working hours every year to automate these everyday procedures. Using Deep Mind AI, Google was able to lower its data center cooling bill by 40%. Creates More Business Opportunities Machine learning is frequently used in the production process. Substantial data analysis is required to create new items or improve existing products. Collection and analysis of huge amounts of product data can help find hidden defects and new business opportunities. This can help improve existing product designs and provide new revenue streams for the company. With machine learning, companies can reduce product development risks by making smarter decisions with better insights. Protects Company’s Digital Assets On-premise and cloud-based machine learning systems require networks, data, and technological platforms to function. Machine learning can help secure these systems and data by restricting access to vital digital platforms and information. Humans’ access sensitive data, choose applications, and connect to it using machine learning. This can help secure digital assets by immediately recognizing irregularities and taking appropriate action. Harley Davidson's Sales Climbed by 40% Using Albert – The ML & AI-Powered Robot Today, traditional marketing is harder to break through. It's easy to see why Albert (an AI-powered robot) would be a good fit for Harley Davidson NYC. Thanks to machine learning and artificial intelligence, robots are producing news stories, working in hotels, controlling traffic, and even running McDonald's. Albert works well with social media and email marketing. It analyzed which customers are more likely to convert and modifies the personal creative copies on its own for the next process. Harley-Davidson is the only company to employ Albert in its business. The company evaluated customer data to find prior consumers who made purchases and spent more time browsing the website than normal. Albert used this data to categorize customers and scale up test campaigns. Using Albert, Harley-Davidson's sales climbed by 40% and leads increased 2,930%, with half coming from high-converting ‘lookalikes' detected by AI and machine learning. Final Words The groundbreaking benefits of machine learning are the pillars of machine learning applications in manufacturing. Machine learning in manufacturing helps enhance productivity without compromising quality. According to Forbes, Amazon has automated warehouse logistics picking and packing using a machine learning system. With Kiva's help, Amazon's typical ‘click to ship' time dropped from 60-75 minutes to 15 minutes. So, industry leaders are seeing fantastic outcomes, and machine learning in manufacturing is the future. FAQ How is machine learning used in manufacturing? Machine learning is used in manufacturing to improve product quality and uncover new efficiencies. It unquestionably aids in the identification and removal of bottlenecks in the manufacturing process. Which two forms of machine learning are there? Machine learning is divided into two forms: supervised and unsupervised. In supervised machine learning, a machine learning algorithm is trained using data that has been labeled. Unsupervised ML has the advantage of working with unlabeled data. What is a machine learning model? A machine learning model is a file that can recognize patterns. In order to learn from a set of data, you must first train a model using an algorithm. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "How is machine learning used in manufacturing?", "acceptedAnswer": { "@type": "Answer", "text": "Machine learning is used in manufacturing to improve product quality and uncover new efficiencies. It unquestionably aids in the identification and removal of bottlenecks in the manufacturing process." } },{ "@type": "Question", "name": "Which two forms of machine learning are there?", "acceptedAnswer": { "@type": "Answer", "text": "Machine learning is divided into two forms: supervised and unsupervised. In supervised machine learning, a machine learning algorithm is trained using data that has been labeled. Unsupervised ML has the advantage of working with unlabeled data." } },{ "@type": "Question", "name": "What is a machine learning model?", "acceptedAnswer": { "@type": "Answer", "text": "A machine learning model is a file that can recognize patterns. In order to learn from a set of data, you must first train a model using an algorithm." } }] }

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Supply chain transparency: Reducing food loss and waste

Article | August 20, 2020

In a world where up to 800 million people are chronically undernourished roughly one-third of food produced for human consumption is lost or wasted across the entire supply chain every year. In a report by the World Resources Institute (WRI), “The most immediate reasons food leaves the human food supply chain tie back to concern about a food’s safety or suitability for consumption, or there being no perceived use or market for it.” These causes are further exasperated by “deterioration or suboptimal quality, or issues such as the food’s appearance, excess supply, and seasonal production fluctuations.”

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Operations

How to Improve Production Scheduling: The 5 Crucial Elements

Article | December 8, 2021

The manufacturing production schedule is a critical aspect that enables the manufacturing business to complete each production activity precisely and on time. Allocating different raw materials, resources, or processes to distinct project phases is called a production schedule. Its goal is to make your manufacturing process as efficient and cost-effective as possible in terms of resources and labor — all while delivering products on schedule. As technology takes over and enhances many of the processes we used to handle with manual labor, we are freed up to use our minds creatively, which leads to bigger and better leaps in innovation and productivity." – Matt Mong, VP Market Innovation and Project Business Evangelist at Adeaca So, how is the overall production schedule managed? According to businesswire, the global APS (Advanced Production Planning and Scheduling) software market was valued at $1,491.22 million in 2020 and is anticipated to raise $2,941.27 million by 2028 expanding at an 8.86 percent CAGR from 2020 to 2028. Some software and tools are available to assist manufacturing organizations in properly scheduling production planning, including MaxScheduler, TACTIC, MRPeasy, and Gantt charts. Though there are numerous software programs available on the market for production scheduling, the most crucial aspect is determining which elements to consider when planning production. This blog will look at the five most important factors to consider while planning the production schedule. Five Elements to Consider When Scheduling Production As we saw in the introduction, production scheduling is used in the manufacturing process to assign plant and machinery resources, schedule human resources, plan production processes, and purchase materials. So, what are the primary components or stages of this production scheduling process? Let's take a quick look at each of them. Planning to Make the Best Use of the Company's Resources The role of planning in production scheduling is to use the company's resources to maintain a regular production flow. As a result, downtime is decreased, and bottlenecks are minimized, allowing production to be optimized. For production scheduling, two forms of planning can be used: Dynamic Planning: Dynamic planning is carried out under the idea that process stages will alter. So, materials must be ready, but production cannot begin until demand is decided. Static Planning: Static planning is done keeping in mind that all process steps will be completed on schedule and without adjustments. Routing to Determine the Order of Actions A “bill of materials” is used in discrete manufacturing to specify what things are needed and in what quantities. Routing determines the path and sequence of required phases of the process. It may involve in-house operations, but it may also comprise sub-contracted components that must be returned to the production flow for final assembly. Scheduling to Make Use of Predetermined Planning Levels To manufacture products from components or raw materials, scheduling makes use of the previously set planning level. As a result, it is time-dependent and must meet the demand outlined at the planning level. Each department, product, and procedure can have their own unique set of timetables. Sub-schedules for sub-assemblies or mixes and blends may be defined by department-specific master production schedules, utilized at the highest level to define product timeframes. Dispatching to Decide on Immediate Actions Dispatching assigns the following jobs to be done from a subset of the production queue. Dispatching is utilized to make quick decisions. This is in contrast to planning, which involves the planning of future actions. Dispatching is utilized in both pull and push production systems. Execution to Ensure that all Processes are Carried out Correctly Production scheduling must rely on proper execution to ensure that all processes are completed appropriately and in the sequence planned. It requires everyone to know what they are expected to do and when they are expected to do it. Execution requires knowledgeable management decisions, well-trained employees, correct data in the manufacturing plan and schedule, and consistent sales statistics and forecast numbers. All must be present for the organization to carry out its production plan and fulfill orders. How MRPeasy – A Production Scheduling Software Assist Manufacturing Companies in Scheduling Their Production? MRPeasy is a cloud-based material requirements planning (MRP) application explicitly designed for small manufacturing units. Its primary functions are purchase order management, forecasting, and inventory management. This software simplifies the process of scheduling production. It enables you to evaluate all of your anticipated manufacturing orders (MO). The bill of materials (BOM), purchasing, and stocking are all maintained in one location, allowing you to quickly book inventory and increase purchase orders (PO) for acquired parts. MRPeasy enables you to: Obtain all of the detailed information on all of your MOs Consider MOs as a single block or as distinct operations. Drag-and-drop operations and operations to reschedule Calendar or Gantt chart views are available for monitoring scheduled orders. Additionally, you can manage MOs smoothly. With the production planning component, you may create, amend, and update MOs. This app compiles an exhaustive list of all your MOs. You can track their progress based on the status of an order or a part's availability. Additionally, you can search for, filter, and export your MOs. Final Words How to schedule production for your organization requires extensive research, planning, and analysis of overall product demand as well as a grasp of the time required to meet the demand. Production scheduling techniques such as job-based planning, batch method, flow method, and others help develop a productive manufacturing production schedule. Include the elements mentioned above in your manufacturing scheduling to get the best possible benefits, such as better production efficiency, lower production costs, and on-time product delivery for your manufacturing in 2022. FAQ How production planning differ from production scheduler? Production planning and scheduling are often mixed. But there is a difference. Planning decides what and how much work must be done, whereas scheduling specifies who and when the work will be done. What is real-time manufacturing scheduling? Real-Time Scheduling is a production planning, scheduling, and tracking tool that enables manufacturing organizations to improve customer satisfaction and achieve optimal operational performance cost-effectively. How can scheduling be improved? Communication with staff is a great way to improve scheduling. This is true for all businesses, software or otherwise. However, management should not burden employees with ambiguous or unclear communication, and vice versa. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "How production planning differ from production scheduler?", "acceptedAnswer": { "@type": "Answer", "text": "Production planning and scheduling are often mixed. But there is a difference. Planning decides what and how much work must be done, whereas scheduling specifies who and when the work will be done." } },{ "@type": "Question", "name": "What is real-time manufacturing scheduling?", "acceptedAnswer": { "@type": "Answer", "text": "Real-Time Scheduling is a production planning, scheduling, and tracking tool that enables manufacturing organizations to improve customer satisfaction and achieve optimal operational performance cost-effectively." } },{ "@type": "Question", "name": "How can scheduling be improved?", "acceptedAnswer": { "@type": "Answer", "text": "Communication with staff is a great way to improve scheduling. This is true for all businesses, software or otherwise. However, management should not burden employees with ambiguous or unclear communication, and vice versa." } }] }

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Manufacturing Technology

Manufacturing Data Analytics: The Next Big Thing

Article | March 22, 2022

Manufacturing analytics, or real-time manufacturing analytics, is the process of collecting, cleansing, and analyzing data from machines to forecast their future use, prevent failures, forecast maintenance requirements, and identify areas for improvement. “The goal is to turn the data into information and information into insight.” - Carly Fiorina, ex CEO of Hewlett-Packard Manufacturing data incorporates all structured and unstructured information collected manually or through software from machines and humans throughout the manufacturing process, up to the point at which a product is launched to the market. In this article, we will look at the use cases of data analysis in manufacturing and some of the start-ups from the U.S. that are helping manufacturers gather their real-time manufacturing analytics. Data Analysis in Manufacturing: Use Case Analytics Demand Forecasting Forecasting demand is highly dependent on historical data on supply levels, material costs, purchase trends, and customer behavior. Manufacturers can use analytics to accomplish the following: Define the products to be manufactured in a time frame Define products that are no longer in stock Determine the quantity of products to be manufactured Forecast sales prospects Inventory Management Forecasting demand enables manufacturers to manage inventory, purchase materials, and optimize storage capacity based on data. Additionally, manufacturing industry data analysis provides insight into: The sales-to-inventory ratio indicates the average inventory value over net sales. Days in inventory refers to the time a manufacturer retains before selling a product. Gross margin return on inventory (GMROI) is a term that refers to the amount of gross margin a manufacturer receives for each dollar invested in inventory. Maintenance Optimization Data collected from various manufacturing machines, tools, and devices, as well as information about operations and the gears required for the machines, can be analyzed to: Predict when a machine will require maintenance based on the amount of time and the operations in which it has been used. Identify and resolve operational anomalies caused by or will result in machine failure. Prevent downtime by scheduling machine breakdowns, repairs, and replacements in advance. Price Optimization Utilizing analytics can assist manufacturers in determining the actual cost of a product based on the costs of materials, labor, machines, and tools used or purchased during the manufacturing process. Additionally, manufacturers can optimize prices based on data about competitors, market trends, consumer behavior, and purchase history. Additionally, analytics can assist in setting dynamic prices that are determined by demand, supply, competition, and subsidiary product prices. Analytics for Manufacturing as a Service: Three U.S.-based Startups Uptake Uptake offers predictive analytics solutions powered by artificial intelligence for various industries. It provides a compass, which allows organizations to optimize work orders and scout. This allows users to analyze data and custom alerts and radar to get failure and anomaly detection solutions. Failure prediction, noise filtering, situational analytics, and detecting changes in operational behavior are just a few of the features that these systems offer to their customers today. The product, by Uptake, is intended for use in various industries like mining, construction, fleet management, manufacturing, aviation, government, and oil and gas. Seeq Seeq is a leading provider of industrial data analytics solutions. Its big data analysis solutions help in the analysis and comprehension of industrial process data (IPD) more effectively and quickly than typical alternatives. Reduced analysis time, quicker relationship discovery, ERP and other system connectivity, support for business intelligence (BI) tools such as Excel, Tableau, SAS, and MATLAB, and collaboration support are some of the features. Sight Machine Sight Machine provides a platform for manufacturing applications that utilize digital twins. It provides solutions for continually analyzing images captured by industrial cameras, sensor data, and data from manufacturing systems to improve product quality and operations. It provides real-time visibility and actionable data for every part, machine, line, and plant manufacturing process. Its clientele includes Nike, Sony, Nissan, and Google, to name a few. Final Word Big data analytics in manufacturing assists businesses in identifying the parameters that have a direct effect on production. Additionally, modifying the target process helped businesses increase productivity by 50%. McKinsey estimates that when analytics are used in design-to-value workflows and projects, manufacturers' gross margins can increase by as much as 40%. Manufacturing analytics can help with design-to-value, supply chain management, and after-sales support. Real-time manufacturing analytics enables manufacturers to optimize their overall production. FAQ Why is data critical in manufacturing? Big data helps manufacturers understand their customers' needs and wants better. To launch a new product or upgrade an old one, data is required to make it appealing to customers and assess the risks of competition. What is production analysis? Production analysis visualizes production output and helps assess production losses and associated costs. What is predictive manufacturing? Predictive manufacturing uses descriptive analytics and data visualization to provide a real-time perspective of asset health and reliability performance.

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Over 100 years of experience in vehicle production and a broad range of services make Magna Steyr the worldwide leading brand-independent engineering and manufacturing partner for OEMs.

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Manufacturing Technology

Detroit Manufacturing Systems Strikes Partnership with InductEV to Accelerate Adoption of High-Power Wireless Charging for Commercial Vehicles

Detroit Manufacturing Systems (DMS) | January 11, 2024

Wireless commercial vehicle charging took a big step forward with an agreement between Detroit Manufacturing Systems and InductEV. In the landmark agreement, DMS, a large-scale, U.S.-based assembly provider, will bring its operations, manufacturing, quality by design, and supply chain expertise to InductEV allowing the latter to more quickly scale to meet customer demand. InductEV is reinventing how electric commercial fleet vehicles charge their batteries by charging on route, using clean renewable electricity. With its wireless induction solution now deployed worldwide and with 18 patents granted and 23 in process, the King of Prussia, PA-based company is the global leader in high-power, high-speed wireless EV charging and AI-software powered energy management. Under the terms of this agreement, DMS will Manufacture InductEV's hardware, including in-ground and under-vehicle inductive pads. Manage InductEV's supply chain and procurement. Utilize engineering expertise to facilitate high quality, design for manufacturing and assembly. Co-develop design optimizations to prepare for a 100-fold increase in production volume. "We couldn't be more pleased to have a manufacturing partner, known for its high standards and operating rigor, combine forces with our proprietary engineering," said Barry Libert, Chairman and CEO, InductEV. "Our complementary areas of expertise will enable us to meet the growing demand from commercial fleet owners and operators, as well as Intermodal facilities and Ports, for our advanced, AI-managed wireless charging solution." Among its product offerings, Detroit Manufacturing Systems currently handles manufacturing for the Ford EV F-150 Lightning signaling its expertise in advanced electric vehicle components and systems production. InductEV's patented technology is currently being used in locations throughout North America and Europe, including in Washington State, Indianapolis, Martha's Vineyard, and in Gothenburg, Sweden, Volvo's hometown. (Volvo Ventures is an InductEV investor.) The company is poised to announce the largest commitment by a U.S. port facility to its wireless charging technology. "We recognize and applaud InductEV's efforts to wirelessly electrify commercial fleets, the biggest contributor in transportation to greenhouse gas emissions worldwide," added Bruce Smith, Chairman and CEO, Detroit Manufacturing Systems. "We look forward to bringing our manufacturing, quality and supply chain expertise to this partnership and creating a successful venture that will help reduce this sector's carbon footprint at a considerable cost savings for all involved." InductEV's proprietary, on-route wireless charging solution shifts EV charging to daytime use of renewables. It reduces the need for large EV batteries, lowering vehicle costs, and eliminates the need for recycling by extending battery life by a factor of 4-8X. Wireless charging also enables the broad deployment of autonomous vehicles. About InductEV InductEV is revolutionizing how electric commercial fleet vehicles charge their batteries. With its proprietary on-route wireless solution now deployed throughout North America and Europe and with 18 U.S. patents and 23 pending, the King of Prussia, PA-based company is the global leader in high-power, high-speed wireless EV charging and AI-software powered energy management. The company just opened one of world's first R&D centers for wireless vehicle charging. About Detroit Manufacturing Systems (DMS) Detroit Manufacturing Systems (DMS) is a contract manufacturing and assembly company that is committed to and is constantly striving for manufacturing excellence and perfect quality. This is achieved through meticulous mistake proofing and a culture of continuous improvement. DMS' GIFTED & RICH fundamental beliefs, management principles, and core values guide the staff in proactively and transparently engaging with customers and suppliers. DMS is also committed to protecting the local and global environment and minimizing the environmental impacts concerning their activities, products and services.

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Manufacturing Technology

Kimberly-Clark Professional™ Improves Protection for Lab Workers with New Kimtech™ Polaris™ Nitrile Exam Gloves

Kimberly-Clark Professional | January 16, 2024

Kimberly-Clark Professional™ announced the availability of new Kimtech™ Polaris™ Nitrile Exam Gloves for use in laboratory settings that afford users the highest level of protection, durability and comfort from a glove in the Kimtech portfolio. Featuring a new dark magenta color unique to Kimberly-Clark Professional and a proprietary high-quality nitrile formulation, Kimtech Polaris Nitrile Exam Gloves have one of the lowest acceptable quality levels (AQL) for pinholes at 0.65, when compared to leading competitors. The average tensile strength is 31 megapascal (MPa) after aging, more than double the strength of the industry standard. The gloves also have been tested against some of the harshest chemicals used in labs and industrial work environments,1 meeting and exceeding the industry standards for exam gloves. "Kimtech Polaris Nitrile Exam Gloves were created with the end-user in mind and represent a new chapter in innovation for Kimberly-Clark Professional," said Anuj Sinha, General Manager, Personal Protective Equipment (PPE) and Partnership Products, Kimberly-Clark Professional North America. "Our goal was to elevate the glove – making it more durable than our other gloves without sacrificing comfort." Certified by U.S. Ergonomics, Kimtech Polaris Nitrile Exam Gloves provide measurable ergonomic benefits to the user by improving comfort and fit and minimizing the risk factors that may cause injuries. The gloves are specifically designed to protect professionals in laboratory settings, and they are also suitable for industrial work environments, pharmaceutical manufacturing, medical device manufacturing and biotechnology. "These exam gloves are typically worn for long periods, so comfort was top of mind when designing Polaris," said Sinha. "Beyond the fit of the glove, we gave it breathability and thermal comfort resulting in a glove 80% of daily glove users found favorable versus their current glove, according to a recent study.2" In addition to delivering greater comfort and superior barrier protection, Kimtech Polaris Nitrile Exam Gloves will also help in advancing customers' sustainability goals, as it is recyclable through The RightCycle™ Program by Kimberly-Clark Professional. Through The RightCycle Program, eligible non-hazardous Kimberly-Clark Professional PPE waste, such as Kimtech Polaris Nitrile Exam Gloves, are collected at the end user's facility and taken to a recycling partner where they are turned into plastic pellets used to make durable consumer goods. Kimtech Polaris Nitrile Exam Gloves do not contain silicone,3 are food contact safe4 and meet United States Pharmacopeial Convention (USP) <800> guidelines.5 The gloves are available for purchase as of Jan. 2, 2024, and are being stocked by a large number of scientific and industrial distributors. About Kimberly-Clark Professional™ Kimberly-Clark Professional™ partners with businesses to create Exceptional Workplaces, helping to make them healthier, safer and more productive. Key brands in this segment include Kleenex, Scott, WypAll, KleenGuard and Kimtech. To see how Kimberly-Clark Professional is helping people around the world to work better About Kimberly-Clark Kimberly-Clark and its trusted brands are an indispensable part of life for people in more than 175 countries. Fueled by ingenuity, creativity, and an understanding of people's most essential needs, we create products that help individuals experience more of what is important to them. Our portfolio of brands, including Huggies, Kleenex, Scott, Kotex, Cottonelle, Poise, Depend, Andrex, Pull-Ups, GoodNites, Intimus, Neve, Plenitud, Sweety, Softex, Viva and WypAll, hold No. 1 or No. 2 share positions in approximately 80 countries. We use sustainable practices that support a healthy planet, build strong communities, and ensure our business thrives for decades to come. We are proud to be recognized as one of the world's most ethical companies by Ethisphere for the fifth year in a row.

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Smart Factory

PsiQuantum, Mitsubishi UFJ Financial Group and Mitsubishi Chemical Announce Partnership to Design Energy-Efficient Materials on PsiQuantum’s

PsiQuantum | January 30, 2024

PsiQuantum and Mitsubishi UFJ Financial Group announced that they are beginning work with Mitsubishi Chemical Group on a joint project to simulate excited states of photochromic molecules which have widespread industrial and residential potential applications such as the development of smart windows, energy-efficient data storage, solar energy storage and solar cells, and other photoswitching use cases. Qlimate, a PsiQuantum-led initiative that includes MUFG as a partner, focuses on using fault-tolerant quantum computing to crack the most challenging computational problems and accelerate the development of scalable breakthroughs across climate technologies, including more energy-efficient materials. Mitsubishi UFJ Financial Group (MUFG) is committed to supporting the world’s transition to a sustainable future, and to encourage industry access to the most promising breakthrough technologies. By pioneering PsiQuantum’s Qlimate solutions with industry leader Mitsubishi Chemical, MUFG is at the forefront of quantum computing for sustainability. This joint project will determine whether high-accuracy estimates of excited state properties are feasible on early-generation fault-tolerant quantum computers, specifically focusing on diarylethenes used for energy-efficient photoswitching applications. The project will allow Mitsubishi Chemical to gain early insights into how and when fault-tolerant quantum computing can be deployed in support of critical, scalable, sustainable materials. Because predicting the optical properties of materials requires complex analysis of excited states, standard algorithmic techniques for simulating these molecules (such as the Density Functional Theory, or DFT) often produce qualitatively incorrect results. The project will bring together Mitsubishi Chemical’s deep experience of computational chemistry and PsiQuantum’s leading expertise in fault-tolerant quantum computing to push the boundaries of approaching the complex physics in these systems and pave the way to developing new, more powerful energy-efficient photonic materials. Philipp Ernst, Head of Solutions at PsiQuantum, said: “PsiQuantum has dedicated teams who identify, describe and solve complex problem sets with best-in-class quantum algorithms. These are designed specifically to run on fault-tolerant quantum computers and will tackle previously-impossible computational challenges. This partnership will leverage our team’s unique know-how and Mitsubishi Chemical’s expertise in photochromic materials. We are grateful for MUFG’s visionary support in our mission to deploy high-impact quantum computing solutions to fight climate change.” Suguru Azegami, Managing Director, Sustainable Business Division, MUFG said: “We are excited to partner with PsiQuantum and Mitsubishi Chemical on our journey to explore possibilities of quantum computing technologies to solve the imminent global challenge. PsiQuantum’s vision to develop the first utility scale quantum computer before the end of the decade has inspired us, which led our initiative to participate in the Qlimate partnership as the first and sole member from Japan. Mitsubishi Chemical is leading efforts to use the cutting-edge technology to develop next generation materials and we are honored to support the company as its long term financial partner.” Qi Gao, Senior Chief Scientist, Mitsubishi Chemical said: “We are pleased to be part of the partnership and are grateful for MUFG’s support. Mitsubishi Chemical’s over 40 years background in computational chemistry and PsiQuantum’s domain specific knowledge for quantum control is a great fit with the collaboration effort of improving calculation accuracy on quantum device. We hope the partnership will accelerate the innovation of revolutionizing computational studies in chemistry and materials science.” About PsiQuantum PsiQuantum is a private company, founded in 2015 and headquartered in Palo Alto, California. The company’s only mission is to build and deploy the world’s first useful, large-scale quantum computer. Many teams around the world today have demonstrated prototype quantum computing systems, but it is widely accepted that much larger systems are necessary in order to unlock transformational applications across drug discovery, climate technologies, finance, transportation, security & defense and beyond. PsiQuantum’s photonic approach enables rapid scaling via direct leverage of high-volume semiconductor manufacturing and cryogenic infrastructure. The company is partnered with the SLAC National Accelerator Laboratory at Stanford University and Sci-Tech Daresbury in the United Kingdom. About Mitsubishi UFJ Financial Group, Inc. (MUFG) Mitsubishi UFJ Financial Group, Inc. (MUFG) is one of the world’s leading financial groups. Headquartered in Tokyo and with over 360 years of history, MUFG has a global network with approximately 2,000 locations in more than 50 countries. The Group has about 160,000 employees and offers services including commercial banking, trust banking, securities, credit cards, consumer finance, asset management, and leasing. The Group aims to “be the world’s most trusted financial group” through close collaboration among our operating companies and flexibly respond to all of the financial needs of our customers, serving society, and fostering shared and sustainable growth for a better world. MUFG’s shares trade on the Tokyo, Nagoya, and New York stock exchanges. About the Mitsubishi Chemical Group Corporation Mitsubishi Chemical Group Corporation (TSE: 4188) is a specialty materials group with an unwavering commitment to lead with innovative solutions to achieve KAITEKI, the well-being of people and the planet. We bring deep expertise and material science leadership in core market segments such as mobility, digital, medical and food. In this way, we enable industry transformation, technology breakthroughs, and longer, more fruitful lives for us all. Together, around 70,000 employees worldwide provide advanced chemistry-based solutions to deliver the core elements of our slogan — “Science. Value. Life.”

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Manufacturing Technology

Detroit Manufacturing Systems Strikes Partnership with InductEV to Accelerate Adoption of High-Power Wireless Charging for Commercial Vehicles

Detroit Manufacturing Systems (DMS) | January 11, 2024

Wireless commercial vehicle charging took a big step forward with an agreement between Detroit Manufacturing Systems and InductEV. In the landmark agreement, DMS, a large-scale, U.S.-based assembly provider, will bring its operations, manufacturing, quality by design, and supply chain expertise to InductEV allowing the latter to more quickly scale to meet customer demand. InductEV is reinventing how electric commercial fleet vehicles charge their batteries by charging on route, using clean renewable electricity. With its wireless induction solution now deployed worldwide and with 18 patents granted and 23 in process, the King of Prussia, PA-based company is the global leader in high-power, high-speed wireless EV charging and AI-software powered energy management. Under the terms of this agreement, DMS will Manufacture InductEV's hardware, including in-ground and under-vehicle inductive pads. Manage InductEV's supply chain and procurement. Utilize engineering expertise to facilitate high quality, design for manufacturing and assembly. Co-develop design optimizations to prepare for a 100-fold increase in production volume. "We couldn't be more pleased to have a manufacturing partner, known for its high standards and operating rigor, combine forces with our proprietary engineering," said Barry Libert, Chairman and CEO, InductEV. "Our complementary areas of expertise will enable us to meet the growing demand from commercial fleet owners and operators, as well as Intermodal facilities and Ports, for our advanced, AI-managed wireless charging solution." Among its product offerings, Detroit Manufacturing Systems currently handles manufacturing for the Ford EV F-150 Lightning signaling its expertise in advanced electric vehicle components and systems production. InductEV's patented technology is currently being used in locations throughout North America and Europe, including in Washington State, Indianapolis, Martha's Vineyard, and in Gothenburg, Sweden, Volvo's hometown. (Volvo Ventures is an InductEV investor.) The company is poised to announce the largest commitment by a U.S. port facility to its wireless charging technology. "We recognize and applaud InductEV's efforts to wirelessly electrify commercial fleets, the biggest contributor in transportation to greenhouse gas emissions worldwide," added Bruce Smith, Chairman and CEO, Detroit Manufacturing Systems. "We look forward to bringing our manufacturing, quality and supply chain expertise to this partnership and creating a successful venture that will help reduce this sector's carbon footprint at a considerable cost savings for all involved." InductEV's proprietary, on-route wireless charging solution shifts EV charging to daytime use of renewables. It reduces the need for large EV batteries, lowering vehicle costs, and eliminates the need for recycling by extending battery life by a factor of 4-8X. Wireless charging also enables the broad deployment of autonomous vehicles. About InductEV InductEV is revolutionizing how electric commercial fleet vehicles charge their batteries. With its proprietary on-route wireless solution now deployed throughout North America and Europe and with 18 U.S. patents and 23 pending, the King of Prussia, PA-based company is the global leader in high-power, high-speed wireless EV charging and AI-software powered energy management. The company just opened one of world's first R&D centers for wireless vehicle charging. About Detroit Manufacturing Systems (DMS) Detroit Manufacturing Systems (DMS) is a contract manufacturing and assembly company that is committed to and is constantly striving for manufacturing excellence and perfect quality. This is achieved through meticulous mistake proofing and a culture of continuous improvement. DMS' GIFTED & RICH fundamental beliefs, management principles, and core values guide the staff in proactively and transparently engaging with customers and suppliers. DMS is also committed to protecting the local and global environment and minimizing the environmental impacts concerning their activities, products and services.

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Manufacturing Technology

Kimberly-Clark Professional™ Improves Protection for Lab Workers with New Kimtech™ Polaris™ Nitrile Exam Gloves

Kimberly-Clark Professional | January 16, 2024

Kimberly-Clark Professional™ announced the availability of new Kimtech™ Polaris™ Nitrile Exam Gloves for use in laboratory settings that afford users the highest level of protection, durability and comfort from a glove in the Kimtech portfolio. Featuring a new dark magenta color unique to Kimberly-Clark Professional and a proprietary high-quality nitrile formulation, Kimtech Polaris Nitrile Exam Gloves have one of the lowest acceptable quality levels (AQL) for pinholes at 0.65, when compared to leading competitors. The average tensile strength is 31 megapascal (MPa) after aging, more than double the strength of the industry standard. The gloves also have been tested against some of the harshest chemicals used in labs and industrial work environments,1 meeting and exceeding the industry standards for exam gloves. "Kimtech Polaris Nitrile Exam Gloves were created with the end-user in mind and represent a new chapter in innovation for Kimberly-Clark Professional," said Anuj Sinha, General Manager, Personal Protective Equipment (PPE) and Partnership Products, Kimberly-Clark Professional North America. "Our goal was to elevate the glove – making it more durable than our other gloves without sacrificing comfort." Certified by U.S. Ergonomics, Kimtech Polaris Nitrile Exam Gloves provide measurable ergonomic benefits to the user by improving comfort and fit and minimizing the risk factors that may cause injuries. The gloves are specifically designed to protect professionals in laboratory settings, and they are also suitable for industrial work environments, pharmaceutical manufacturing, medical device manufacturing and biotechnology. "These exam gloves are typically worn for long periods, so comfort was top of mind when designing Polaris," said Sinha. "Beyond the fit of the glove, we gave it breathability and thermal comfort resulting in a glove 80% of daily glove users found favorable versus their current glove, according to a recent study.2" In addition to delivering greater comfort and superior barrier protection, Kimtech Polaris Nitrile Exam Gloves will also help in advancing customers' sustainability goals, as it is recyclable through The RightCycle™ Program by Kimberly-Clark Professional. Through The RightCycle Program, eligible non-hazardous Kimberly-Clark Professional PPE waste, such as Kimtech Polaris Nitrile Exam Gloves, are collected at the end user's facility and taken to a recycling partner where they are turned into plastic pellets used to make durable consumer goods. Kimtech Polaris Nitrile Exam Gloves do not contain silicone,3 are food contact safe4 and meet United States Pharmacopeial Convention (USP) <800> guidelines.5 The gloves are available for purchase as of Jan. 2, 2024, and are being stocked by a large number of scientific and industrial distributors. About Kimberly-Clark Professional™ Kimberly-Clark Professional™ partners with businesses to create Exceptional Workplaces, helping to make them healthier, safer and more productive. Key brands in this segment include Kleenex, Scott, WypAll, KleenGuard and Kimtech. To see how Kimberly-Clark Professional is helping people around the world to work better About Kimberly-Clark Kimberly-Clark and its trusted brands are an indispensable part of life for people in more than 175 countries. Fueled by ingenuity, creativity, and an understanding of people's most essential needs, we create products that help individuals experience more of what is important to them. Our portfolio of brands, including Huggies, Kleenex, Scott, Kotex, Cottonelle, Poise, Depend, Andrex, Pull-Ups, GoodNites, Intimus, Neve, Plenitud, Sweety, Softex, Viva and WypAll, hold No. 1 or No. 2 share positions in approximately 80 countries. We use sustainable practices that support a healthy planet, build strong communities, and ensure our business thrives for decades to come. We are proud to be recognized as one of the world's most ethical companies by Ethisphere for the fifth year in a row.

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Smart Factory

PsiQuantum, Mitsubishi UFJ Financial Group and Mitsubishi Chemical Announce Partnership to Design Energy-Efficient Materials on PsiQuantum’s

PsiQuantum | January 30, 2024

PsiQuantum and Mitsubishi UFJ Financial Group announced that they are beginning work with Mitsubishi Chemical Group on a joint project to simulate excited states of photochromic molecules which have widespread industrial and residential potential applications such as the development of smart windows, energy-efficient data storage, solar energy storage and solar cells, and other photoswitching use cases. Qlimate, a PsiQuantum-led initiative that includes MUFG as a partner, focuses on using fault-tolerant quantum computing to crack the most challenging computational problems and accelerate the development of scalable breakthroughs across climate technologies, including more energy-efficient materials. Mitsubishi UFJ Financial Group (MUFG) is committed to supporting the world’s transition to a sustainable future, and to encourage industry access to the most promising breakthrough technologies. By pioneering PsiQuantum’s Qlimate solutions with industry leader Mitsubishi Chemical, MUFG is at the forefront of quantum computing for sustainability. This joint project will determine whether high-accuracy estimates of excited state properties are feasible on early-generation fault-tolerant quantum computers, specifically focusing on diarylethenes used for energy-efficient photoswitching applications. The project will allow Mitsubishi Chemical to gain early insights into how and when fault-tolerant quantum computing can be deployed in support of critical, scalable, sustainable materials. Because predicting the optical properties of materials requires complex analysis of excited states, standard algorithmic techniques for simulating these molecules (such as the Density Functional Theory, or DFT) often produce qualitatively incorrect results. The project will bring together Mitsubishi Chemical’s deep experience of computational chemistry and PsiQuantum’s leading expertise in fault-tolerant quantum computing to push the boundaries of approaching the complex physics in these systems and pave the way to developing new, more powerful energy-efficient photonic materials. Philipp Ernst, Head of Solutions at PsiQuantum, said: “PsiQuantum has dedicated teams who identify, describe and solve complex problem sets with best-in-class quantum algorithms. These are designed specifically to run on fault-tolerant quantum computers and will tackle previously-impossible computational challenges. This partnership will leverage our team’s unique know-how and Mitsubishi Chemical’s expertise in photochromic materials. We are grateful for MUFG’s visionary support in our mission to deploy high-impact quantum computing solutions to fight climate change.” Suguru Azegami, Managing Director, Sustainable Business Division, MUFG said: “We are excited to partner with PsiQuantum and Mitsubishi Chemical on our journey to explore possibilities of quantum computing technologies to solve the imminent global challenge. PsiQuantum’s vision to develop the first utility scale quantum computer before the end of the decade has inspired us, which led our initiative to participate in the Qlimate partnership as the first and sole member from Japan. Mitsubishi Chemical is leading efforts to use the cutting-edge technology to develop next generation materials and we are honored to support the company as its long term financial partner.” Qi Gao, Senior Chief Scientist, Mitsubishi Chemical said: “We are pleased to be part of the partnership and are grateful for MUFG’s support. Mitsubishi Chemical’s over 40 years background in computational chemistry and PsiQuantum’s domain specific knowledge for quantum control is a great fit with the collaboration effort of improving calculation accuracy on quantum device. We hope the partnership will accelerate the innovation of revolutionizing computational studies in chemistry and materials science.” About PsiQuantum PsiQuantum is a private company, founded in 2015 and headquartered in Palo Alto, California. The company’s only mission is to build and deploy the world’s first useful, large-scale quantum computer. Many teams around the world today have demonstrated prototype quantum computing systems, but it is widely accepted that much larger systems are necessary in order to unlock transformational applications across drug discovery, climate technologies, finance, transportation, security & defense and beyond. PsiQuantum’s photonic approach enables rapid scaling via direct leverage of high-volume semiconductor manufacturing and cryogenic infrastructure. The company is partnered with the SLAC National Accelerator Laboratory at Stanford University and Sci-Tech Daresbury in the United Kingdom. About Mitsubishi UFJ Financial Group, Inc. (MUFG) Mitsubishi UFJ Financial Group, Inc. (MUFG) is one of the world’s leading financial groups. Headquartered in Tokyo and with over 360 years of history, MUFG has a global network with approximately 2,000 locations in more than 50 countries. The Group has about 160,000 employees and offers services including commercial banking, trust banking, securities, credit cards, consumer finance, asset management, and leasing. The Group aims to “be the world’s most trusted financial group” through close collaboration among our operating companies and flexibly respond to all of the financial needs of our customers, serving society, and fostering shared and sustainable growth for a better world. MUFG’s shares trade on the Tokyo, Nagoya, and New York stock exchanges. About the Mitsubishi Chemical Group Corporation Mitsubishi Chemical Group Corporation (TSE: 4188) is a specialty materials group with an unwavering commitment to lead with innovative solutions to achieve KAITEKI, the well-being of people and the planet. We bring deep expertise and material science leadership in core market segments such as mobility, digital, medical and food. In this way, we enable industry transformation, technology breakthroughs, and longer, more fruitful lives for us all. Together, around 70,000 employees worldwide provide advanced chemistry-based solutions to deliver the core elements of our slogan — “Science. Value. Life.”

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