Production Accounting & Inventory Management: a Digital Transformation Approach in Mining Operations

whitePaper | October 1, 2021

Digitalization is changing how humans live and behave in many ways. It has a huge impact on almost all aspects of society. Just look at manufacturing. Factories have used digital applications for decades, but the impact of a new technological paradigm founded on the Industrial Internet of Things, or IIoT, and realized in the Industry 4.0 concept, is driving the world of manufacturing into a completely different playing field.

whitePaper | January 1, 2020

With over 2,800 campaigns each year delivered through a team of 300+ digital, data, and technology specialists, Deck 7 is a first resource for B2B demand generation services for marketers worldwide. Clients leverage Deck 7’s multichannel content marketing services and Media 7’s network of 30+ online publications for content syndication to engage over 95 million buyers across 16 industries and 120+ countries.

whitePaper | July 7, 2022

Production scheduling primarily deals with arranging different jobs in various machines based on the timelines for each job. There can be numerous combinations of schedules possible. Production schedules can be designed to maximize the capacity utilization, minimize idle time of the machine, earliness, overall costs etc. Manual design of a schedule can be a tedious and time consuming task. There are a lot of dependencies which the scheduler needs to tweak based on a single change. Generating a production schedule targeting a specific objective function can be done using mathematical models. Mathematical models involve formulating the production scheduling problem as an optimization model wherein there is a certain objective function which needs to be optimized based on a set of constraints. Mathematical models generally outperform manually designed schedules which involve a lot of inter-dependencies among the jobs. Due to improvement in computational power, developing a production schedule using mathematical models is relatively quick and efficient.

whitePaper | September 30, 2022

Until 2020, progress towards digital transformation for most manufacturers was slow. But the urgency for manufacturers to make successful digital transformations escalated during the first 8-12 months of the global pandemic. As COVID-19 reshaped consumer buying behaviors, the pace jumped from a crawl to a sprint: According to one study, 85% of organizations accelerated their digital transformation initiatives in 2020.[1] Some industry observers believe we witnessed 6.5 years of digital progress in the last eight months of 2020 alone.

whitePaper | April 12, 2023

Industrial companies, such as those in manufacturing, energy, mining, agriculture, and transportation, are increasingly looking to fuel digital transformation—from optimizing operations to accelerating design to reinventing supply chains. For these organizations, data has become the connective tissue that holds their complex industrial systems together.

whitePaper | November 11, 2019

Creo is a 3D CAD solution that helps you build better products faster by accelerating product innovation, reusing the best of your design and replacing assumptions with facts. Go from the earliest phases of product design to a smart, connected product with Creo. And with cloud-based augmented reality in each seat of Creo, you can collaborate with anyone, instantly at any step in the product development process. In the fast-changing world of the Industrial IoT, no other company can get you to substantial value as quickly and effectively as PTC.