AFGC Common Delivery Guidelines help manufacturers delivering into DCs

SAMANTHA BLAKE| November 19, 2018
AFGC COMMON DELIVERY GUIDELINES HELP MANUFACTURERS DELIVERING INTO DCS
Australia’s FMCG market presents myriad challenges for both suppliers and retailers - geographic scale and distance, relatively high costs of transportation, population density, supply chain complexity, and the diverse and fast-evolving expectations of our customers.

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Multi-Scale Additive Manufacturing Laboratory

The Multi-Scale Additive Manufacturing Lab focuses on next generation additive manufacturing processes. To this end, the lab explores novel techniques to develop advanced materials, innovative products, modeling and simulation tools, monitoring devices, closed-loop control systems, quality assurance algorithms and holistic in-situ and ex-situ characterization techniques.

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2022: The Year of Robotics Industry Expansion

Article | November 12, 2021

Robotics industry growth has accelerated rapidly across several industries. It has aided manufacturers in overcoming numerous barriers related to real-time communication, workplace safety, and overall manufacturing cost and timeliness. However, if we trace its history back to 1961 when George Charles Devol introduced the first robot, dubbed 'UNIMATE,' it has exponentially grown and utilized across sectors to make operations more effortless, precise, and faster. “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. However, the industry has seen snags or difficult times due to market fluctuations, unfavorable situations, and the need to remain competitive in the drive for expansion. To thoroughly understand the robotics industry, let us examine each component that surrounds it. Industrial Robotics Global Market Size According to recent Allied Market Research studies, the global industrial robotics market was worth $37,875 million in 2016 and is expected to reach $70,715 million by 2023, rising at a 9.4% compound annual growth from 2017 to 2023. Industrial Robotics Market Analysis The global industrial robotics market is primarily driven by a global increase in labor costs, which has compelled firms to replace human labor with robots. As a result, Asia and Europe are the world's fastest-growing areas, with top companies such as ABB, Fanuc, KUKA, Kawasaki, and Yaskawa Electric Corporation headquartered in the region. The global market of robotics has been segmented by its type, industry, and function. Type Industry Function Articulated Automotive Soldering and Welding Cartesian Electrical & Electronics Materials Handling SCARA Healthcare & Medicine Assembling & Disassembling Cylindrical Rubber & Plastics Painting and Dispensing Others if any Machinery & Metals Cutting and Processing Food & Beverages Milling Precision & Optics Others if any Others if any Industries That Are Pioneering the Use of Robotics As we have observed, the global robotic market will continue to rise in the future years. Therefore, let us examine which industries will extend their use of robotics in their operations. Healthcare & Medicine Medical robots help surgeons optimize hospital logistics and free up the working staff to focus on patients. In the healthcare field, robots are revolutionizing surgery by speeding supply delivery and disinfection and freeing up time for doctors to interact with their patients. da Vinci System – A General Surgical Robot The da Vinci System is a surgical robot that focuses on a wide range of urological, bariatric, and gynecological surgical treatments. In addition, Stryker's MAKO System also specializes in orthopedic surgery, specifically partial and total knee replacements. The da Vinci SP system is cleared for use in the United States exclusively for single-port urological procedures, lateral oropharyngectomy (often referred to as radical tonsillectomy), and tongue base excision. Law Enforcement Police robots are meant to gain access to areas inaccessible or dangerous to first responders, and they are capable of manipulating items and gathering data using several technologies. It encompasses robots capable of operating in various conditions and displaying a range of data and communication capabilities. Agriculture & Food Industry Farm equipment is now routinely equipped with sensors that utilize machine learning and robotics to identify weeds, compute the appropriate quantity of herbicide to spray, or learn to detect and pick strawberries, for instance. Additionally, in the food business, robotics has been used to do repetitive tasks such as picking and placing food items and cutting and slicing food items during any given food item. For instance, the modern bakery business uses robotics to perform traditional craft skills and produce any product in large quantities while maintaining high quality and hygiene standards. Transportation The transportation sector is highly leveraging robotics. The powerful transport capability, advanced control technology, and sensing precision are some of the benefits that make the transportation robots widely utilized in this sector. These benefits from robotics help the sector convey various commodities in factories, restaurants, and medical institutions, among other locations. Manufacturing Robots are employed in manufacturing to do repeated jobs and streamline the overall assembly process. Additionally, robots and humans can also collaborate on product making. Robots can replace humans for hazardous tasks or processes that need large quantities of materials, which might be hazardous for a human employee to handle. Factors Sustaining the Growth of the Robotics Industry Reduces Manufacturing Costs: Robotics application in all industries reduces the overall manufacturing process running costs. Improves Product Quality: The precision of robotics throughout the manufacturing process helps produce high-quality items that meet target client needs. Offers Competitive Market: Increased income due to utilizing the benefits of robotics applications makes any industry more competitive. Speed-ups Production Time: Robotics speeds up production and helps manufacturers increase output. Offers Task or Process Flexibility: Robotics can weld, cast, mold, assemble, machine, transfer, inspect, load, and unload items, among other duties. So, it gives the manufacturer process flexibility. Reduces Excessive Use and Waste of Production Materials: Robotics employs the exact quantity of material required for the manufactured product, reducing waste and overuse of materials. Offers a Safe Working Place: Robotics improves employee health and safety by performing tasks that humans find risky. For example, in the chemical industry, a human employee may not do a hazardous task. In such instances, robots can replace people. Final Words The rise of the robotics industry has accelerated dramatically, and it is now spreading its wings across industries. Research firm IDC provided a projection for the commercial robot market, forecasting that the market will exceed $53 billion by 2022, with a compound annual growth rate of more than 20%. In addition, several advantages of robotics such as safety, productivity, uniformity, and perfection are pushing its expansion and making it an essential element of industry 4.0. FAQs Why are robots the future of the manufacturing industry? The use of robots in manufacturing has improved process efficiency and product quality. As a result, robots are gaining favor in production and becoming the future of manufacturing. Which industries make the most use of robotics? Healthcare, agriculture, food, and manufacturing are the industries that are embracing robotics to get the most out of it. How is manufacturing utilizing robotics? Manufacturing uses robotics for repetitive tasks. This helps in the reduction of errors and human efforts. It also improves production efficiency. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "Why are robots the future of the manufacturing industry?", "acceptedAnswer": { "@type": "Answer", "text": "The use of robots in manufacturing has improved process efficiency and product quality. As a result, robots are gaining favor in production and becoming the future of manufacturing." } },{ "@type": "Question", "name": "Which industries make the most use of robotics?", "acceptedAnswer": { "@type": "Answer", "text": "Healthcare, agriculture, food, and manufacturing are the industries that are embracing robotics to get the most out of it." } },{ "@type": "Question", "name": "How is manufacturing utilizing robotics?", "acceptedAnswer": { "@type": "Answer", "text": "Manufacturing uses robotics for repetitive tasks. This helps in the reduction of errors and human efforts. It also improves production efficiency." } }] }

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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. 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Five Lean Manufacturing Principles to Empower Your Manufacturing Business

Article | December 16, 2021

Lean manufacturing is an operational approach used to create value. Businesses adopt lean manufacturing to improve productivity, reduce waste, increase customer value, and employee satisfaction. Many businesses are accelerating their adoption of lean principles and practices due to the emergence of the industry 4.0 transformation. As a result, companies such as Caterpillar, Intel, Textron, Parker Hannifin, and John Deere are all reaping the benefits of lean manufacturing. So, where did the idea of "lean manufacturing" first originate? In this article, you'll learn about the origins of lean manufacturing and its key principles. The Origins of Lean Manufacturing The principles of lean manufacturing were developed in Japan in the mid-20th century. Toyota, a famous Japanese automaker, experienced major delivery issues at the time. Its production chains were excessively long; thus it couldn't supply enough products on time. As a result, Toyota needed a new Performance measurement system. The company's managers identified a solution. They created a new project management method called the Toyota production system. Its basic idea was to improve product distribution by reducing waste. It was a good concept. It helped the company shorten manufacturing chains and deliver products faster. Toyota's production method created a simple and effective waste definition. Any step that did not improve the end product's functionality was called a waste. Later, other manufacturing industries adopted the system. It was renamed as lean manufacturing. It's now a global phenomenon and is used by large and small businesses worldwide. When should you implement the Lean Manufacturing Method in your business? Lean is a waste-reduction methodology, approach, and a lifestyle. While it is commonly used in manufacturing, lean techniques are applied to reduce waste while keeping high quality in any business. Waste reduction of 80% plus Reduced production expenses by 50% Decreased inventories by 80-90% Producing quality items is 90% less expensive. Workforce productivity improved by 50% If you want your business to get the above benefits, you need to adopt lean manufacturing principles. Five lean Manufacturing Principles Lean manufacturing benefits businesses in multiple ways, and this lean lifestyle has the potential to empower any organization and increase its market competitiveness. So, let us observe the five fundamental principles of lean manufacturing. Value For the first principle of defining customer value, it is vital to understand what value is. For customers, value comes from what they're willing to pay for. The customer's actual or hidden demands must be discovered. Customers are not aware of what they want or cannot express it. When it comes to new items or technologies, this is a regular occurrence. Assume nothing; ask about the pain points being experienced and then craft a unique value proposition. Never force a solution into a problem that does not exist.” – Thomas R. Cutler, President & CEO at TR Cutler, Inc. For example, you can use various methods to find out what customers value, such as surveys and demographic information. With these qualitative and quantitative methodologies, you may learn more about your clients' needs, their expectations, and their budgets. Value-Stream Identifying and mapping the value stream is the second lean principle. By starting with the consumer’s perceived value, all activities that contribute to that value may be identified. Waste is anything that does not benefit the client in any way. It can be divided into two categories: non-value-added and unnecessary waste. The unnecessary waste should be removed, while the non-value-added should be minimized. You can ensure that clients get exactly what they want while minimizing the cost of creating that product or service by removing unnecessary processes or steps. Flow The next operations must proceed smoothly and without interruption or delays after removing wastes from the value stream. Value-adding activities can be improved by breaking down tasks, reorganizing the manufacturing process, distributing the workload, and educating personnel to be flexible and multi-skilled. Pull The fourth lean principle requires a pull-based manufacturing system. Traditional production systems use a push system, which starts with purchasing supplies and continues manufacturing even when no orders are placed. While push systems are simple to set up, they can result in vast inventories of work-in-progress (WIP). On the other hand, a pull method pulls a customer's order from delivery, causing new items to be made and additional materials to be acquired. Kanban, one of the lean manufacturing tools, can help organizations develop a pull system to control material flow in a production system. An efficient pull system maximizes available space, reduces inventory, eliminates over-and under-production, and eliminates errors caused by too much WIP. Perfection While completing Steps 1-4 is a great start, the fifth and possibly most critical step is incorporating lean thinking and process improvement into your organizational culture. As benefits accumulate, it is vital to remember that lean is not a static system that requires continuous effort and awareness to perfect. Each employee should get included in the lean implementation process. Lean experts sometimes state that a process is not truly lean until it has undergone at least a half-dozen value-stream mapping cycles. How Nike Demonstrated the Benefits of Lean Principles Nike, the world-famous shoe and clothing powerhouse, has embraced lean manufacturing principles and practices. Nike experienced less waste and increased consumer value, as did other businesses. It also shared some unexpected benefits. It is proven that lean manufacturing can minimize terrible labor practices at a company's overseas manufacturing unit by up to 15%. This result was mostly due to implementing the lean manufacturing practice of valuing the workers more than earlier routine labor practices. It provided greater significance to an employee and, as a result, greater significance to the organization as a whole. Final Words Implementing lean manufacturing principles is a good way to run any organization. Businesses that build their operations on the two pillars of lean manufacturing, constant improvement, and personnel respect, are well on their way to becoming a successful and productive organizations in the modern era. To become a lean company, an organization must fully grasp the benefits and added value that it may get by adopting lean manufacturing principles. FAQ What is Five S's of lean manufacturing? The 5S of lean manufacturing are Sort, Set in Order, Shine, Standardize, and Sustain, and they give a framework for organizing, cleaning, developing, and maintaining a productive work environment. What are the two pillars of lean manufacturing? Lean, as modeled on the Toyota Way values, has two pillars, first is ‘Continuous Improvement’ and second is ‘Respect for People’. Why are lean principles beneficial for any business? Lean manufacturing is a business strategy that has proven to be highly successful since it can help you decrease costs, remove waste, enhance production, maintain excellent quality, and thus increase business profit significantly.

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What are the Risks that Manufacturing Face in the Current Times?

Article | December 30, 2021

Risk management in manufacturing has always been a top priority for manufacturers to avoid any unfortunate incidents. As a result, it is possible to create a more secure work environment for employees by conducting risk assessments and implementing remedies. “If you don’t invest in risk management, it doesn’t matter what business you’re in, it’s a risky business.” – Gary Cohn, an American Business Leader. As of 2019, the worldwide risk management market was valued at $7.39 billion, and it is expected to rise at a CAGR of 18.7% from 2020 to 2027, according to allied market research. Why is Risk Assessment Critical in Manufacturing? The manufacturing industry must have a credible risk assessment and management plan to defend itself from any breaches. Risk assessment helps firms understand the dangers they face and their implications if their systems are compromised. Hence, risk assessment is very critical in the manufacturing industry. Five Risk Assessment Principles Identify hazards/risks - Employers must examine their workers' health and safety risks. Therefore, an organization must regularly inspect its employee’s physical, mental, chemical, and biological threats. Identify who may be hurt and in what way – Identifying the personnel both full-time and part-time at-risk. Employers must also examine threats to agency and contract personnel, visitors, clients, and other visitors. Assess the risks and act accordingly - Employers must assess the likelihood of each danger causing injury. This will evaluate and lower the chance at the working space. Even with all safeguards, there is always some danger. Therefore, employers must assess if danger is still high, medium, or low risk. Get the Risks Documented - Employers with five or more employees must record the critical findings of the risk assessment in writing. In addition, register any risks identified in the risk assessment and actions to minimize or eliminate risk. This document confirms the evaluation and is used to examine working practices afterward. The risk assessment is a draft. It should be readable. It shouldn't be hidden away. The risk assessment must account for changes in working techniques, new machinery, or higher work objectives. 5 Manufacturing Risks to Consider in 2022 Accidents at Work Even if official safety policies and programs are designed, followed, and enhanced, manufacturers may endure workplace accidents and injuries. Risk assessment for workplace accidents assists in mitigating the negative impact on both employees and the organization. Environmental Mishaps Manufacturers have distinct issues regarding fuel handling and hazardous waste disposal in facilities. Sudden leaks or spills may be extremely costly to clean up and result in fines from state and federal agencies. Risk assessments for such plant accidents assist businesses in mitigating financial losses. Equipment Breakdowns Essential machinery throughout the production process might fail at any time, incurring significant repair or replacement costs. Therefore, it's critical to recognize that business property insurance may not cover mechanical issues. Risk assessment and prepayment solutions protect against equipment failures without interfering with typical company operations. Supply Chain Disruption Dependence on your supply chain may result in unintended consequences that are beyond your control. For example, if you experience downtime on the manufacturing line due to a supplier's failure to supply materials or parts, you risk losing revenue and profitability. If a disturbance to your supply chain poses a hazard, risk management can assist you in managing it more effectively by quickly identifying the risk and providing a suitable response. Operation Temporarily Suspended Depending on the severity of the weather event, a factory might be severely damaged or perhaps utterly wrecked. While major repairs or rebuilding are being undertaken, recouping lost income might be vital to the business's future profitability. Risk assessment in this area enables your organization to budget for overhead expenditures such as rent, payroll, and tax responsibilities during the period of suspension of operations. Final Words Risk management is critical in manufacturing because it enables manufacturers to comprehend and anticipate scenarios and create a well-planned response that avoids unnecessary overhead costs or delays in delivering the production cycle's final result. Manufacturing risks are undoubtedly not limited to the risks listed above and may vary according to the nature of the business and regional environmental conditions. Therefore, create a well-defined strategy to overcome threats in your business and be productive at all times. FAQ How are manufacturing business risks classified? In most cases, the business risk may be categorized into four types: strategic risk, regulatory compliance risks, operational compliance risks, and reputational risks. Why should a manufacturer conduct a risk assessment? Every manufacturing employment has risks for injury or illness. But risk evaluations can significantly minimize workplace injuries and illnesses. In addition, they assist companies in discovering strategies to reduce health and safety risks and enhance knowledge about dangers.

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Spotlight

Multi-Scale Additive Manufacturing Laboratory

The Multi-Scale Additive Manufacturing Lab focuses on next generation additive manufacturing processes. To this end, the lab explores novel techniques to develop advanced materials, innovative products, modeling and simulation tools, monitoring devices, closed-loop control systems, quality assurance algorithms and holistic in-situ and ex-situ characterization techniques.

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