While there isn’t a shortage of technology or methods to help shops plan for an ideal production picture — execution is another ballgame entirely.
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When you’re trying to juggle dozens of work orders, it’s tempting to cut to the chase and go straight to the whiteboard or Excel spreadsheet to draft your shop’s production schedule.
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If you’re struggling with traditional production scheduling or simply tired of its false promises, then it’s time to re-examine the only shop floor scheduling best practice that really matters.
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For the last 40 years manufacturers have been looking to their ERP’s Finite Capacity Scheduling or bolt-on “Advanced Planning & Scheduling” (APS) tools to help them deliver their production orders (“jobs” or “Work-orders”) to their customers on time.
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Which of you readers like computational math? If you do, jump to the next paragraph, if you don’t I’ll cut to the chase – understanding that finding a mathematical solution that produces an “optimal” production schedule is a more challenging version of the Travelling Salesman problem, our dilemma of finding a solution then falls into the class of “Non-deterministic Polynomial” problems and therefore, it is unsolvable.
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How to determine what product mix is optimal and how to price products to allow the company to maximize your profit making capability.
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Manufacturing production scheduling and thoroughbred race horses may have more in common than you think.
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