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The Role of Algorithms in Production Planning and Scheduling

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By: John Maher | January 20, 2025 | 7 min read In my last post, I talked about the challenges of using spreadsheets to manage production planning and scheduling in complex manufacturing. Some of you have probably experienced those challenges first-hand , but if you want to read that post, you can access it here. If you’re ready to move beyond manual processes, today I will explore APS software further and dig deeper into algorithms, the logic behind Advanced Planning and Scheduling (APS)

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Will 2025 be the Year You Finally Ditch the Spreadsheets?

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Its January 2025, and many of the manufacturers I know are still neck-deep in strategic and operational planning. They need to get better at meeting customer commitments this year. They need to cut waste. They need to trim costs. They need to cut lead times to remain competitive. Most of all, they need to cut down on the day-to-day chaos that defines their world.

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What’s the Difference Between a Manufacturing Bottleneck and a Constraint?

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Bottlenecks and constraints are two terms that are often used interchangeably in Demand-Driven Manufacturing as well as in discussions on Lean Manufacturing and flow. It’s easy to use one term when you actually mean the other. However, since these two limiters on throughput need to be addressed differently, it’s important to understand the distinction.

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Increase Throughput by Replacing Manufacturing Productivity and Efficiency Metrics with These Two KPIs

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Manufacturing productivity is a useful metric for measuring the health of manufacturing at a national or global level because it tells us something about whether our factories, in general, are working or sitting idle. But at the level of the individual factory, productivity as a performance metric can be problematic. Before we travel too far down that path, however, perhaps we should start by defining what we mean by manufacturing productivity.

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The Best Time to Kick Off a Continuous Improvement Initiative

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Prosperity is perhaps one of the greatest obstacles to continuous improvement in manufacturing. When things are going well, we don’t feel the need to make improvements quite as keenly. For example, instead of focusing on removing waste in our factories to become more cost competitive, we might opt to add capacity so we can keep up with demand. There really is no better time to make improvements than when things are going well.

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IT/OT Convergence in the Factory of the Future

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Since the advent of the Industrial Internet of Things (IIoT), experts and enthusiasts have been talking about the coming together of IT (information technology) and OT (operational technologies). Some call it an integration, while others call it a convergence. I call it a good thing. In this post, I’ll talk a bit about the convergence/integration of IT and OT, why it matters, and what it will look like in the Factory of the Future.

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Kaizen vs. Kaikaku

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Kaizen vs. Kaikaku: 2 Approaches to Lean Manufacturing That Can Transform Your Factory. The Lean Manufacturing world is littered with new terminology, and given the discipline’s origins, it’s not surprising that some of these words and phrases are Japanese. Being “fluent” with these words to the point that you can bring them up in casual conversations with coworkers is half the fun.

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