International Journal of Production Research · 2023 · 11 citations · 39 references
ManagementIndustrial EngineeringOperations ManagementManufacturing ProcessesProduction PlanningSchedulingAllocation PlanningProcess OptimizationPull PlanningPull Production SystemsPull SystemsResource AllocationAllocationAllocation Decision-makingConwip ControlConwip SystemsDivergent ProductionFlow LoopsPull-based Scheduling
Production planning and scheduling for companies with divergent processes, where a single component can be transformed into several finished products, are challenging as planners might face material misallocation issues. In this paper, we address the problem of managing a divergent process with DDMRP stock buffers, where different finished products are bottled with the same component having a fixed batch size. An allocation decision needs to be made to determine the quantities of finished products to be bottled. This study is motivated by a real-life problem faced by a dermo-cosmetic company. We compare and analyze by simulation nine different policies triggering allocation decisions. The first policy is the classic DDMRP rule, while the others are new policies, including a virtual buffer of a generic finished product and ConWIP loops, delaying the allocation decision. Our results show that the policy combining the classic DDMRP rule and a ConWIP loop surrounding a part of the process reduces the work-in-process by 34% compared to the classic DDMRP while ensuring high customer service rates and control of flow times.
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A Proof for the Queuing Formula: <i>L</i> = λ<i>W</i>
John D. C. Little · Operations Research · 1961 · 2.7K citations
Planning and scheduling in the process industry
Josef Kallrath · OR Spectrum · 2002 · 353 citations
Management, Industrial Engineering, Operations Management +12