Don’t Use ML to Predict Manufacturing Cycle Times

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Many S&OP vendors are now using Machine Learning (ML) in order to estimate manufacturing cycle times. In this paper we argue that in the presence of an accurate model of the supply chain (a digital Twin), there is no need for this and it can actually be a misleading exercise.

Supply Chain Planning Systems

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Predict, Not Just Response As important a role as automation has played in increasing business productivity, automation is simply a predictable and repetitive task. It does not improve or adapt its own performance, as humans do, when various aspects of the business change. To this end, most of the current planning systems are preprogrammed to …

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Top AI/ML Use Cases in Supply Chain Planning

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With recent popularity of AI and ML, companies are making fast moves to learn and use these techniques in order to gain competitive edge and gain insight into their operations as well as come up with new processes, designs, modes of operations, and discover what was previously hidden from the end-users.

Play the Game: Are you ready for Industry 4.0?

Play the Game: Are you ready for Industry 4.0? Let’s put your Industry 4.0 knowledge to the test with Eyelit Technologies interactive trivia quiz! Whether you’re a manufacturing expert or just exploring the world of digital innovation, this quick quiz is a fun way to challenge your understanding of the technologies and trends shaping the …

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What is S&OP?

What is S&OP? And How Can It Be Used to Increase Efficiency in the Supply Chain Sales and Operations Planning (S&OP) is, at its simplest, the integrated business planning (IBP) process of deciding how to meet the demand at lowest cost and highest customer service. The objective of S&OP is to create the balance between …

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Insurance can’t fix the gap between Planning and Execution

Insurance can’t fix the gap between Planning and Execution

Insurance can’t fix the gap between Planning and Execution In manufacturing, execution rarely aligns perfectly with the original plan. To deal with this, manufacturers buy what essentially amounts to “insurance policies”. These include everything from longer order lead times and excess inventory to overtime labor and premium freight. The general idea is to absorb the …

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Medical Device Co. Cuts Cycle Time 40% w/ AI Planning – Case Study

Global Medical Device Manufacturing Needs The company is a leading global maker of medical devices with almost 30 manufacturing sites worldwide. The objectives of the project were to implement a planning and scheduling solution with the following objectives: Project Objectives Strategic initiative aligned to the manufacturing operations digital roadmap. Address planning & scheduling gap in …

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