Production Control Systems: A Guide to Enhance Performance by Yacob Khojasteh

By Yacob Khojasteh

Selecting an appropriate creation regulate coverage is a demanding job for managers as the superiority of 1 keep watch over over the opposite is arguable. This publication analyzes pull creation structures and offers a tenet to decide on and enforce a formal keep an eye on coverage in construction approaches. by way of applying a formal keep watch over coverage the utmost attainable throughput of the construction method might be completed with the minimal work-in-process stock. Kanban, CONWIP, and base-stock as general pull regulate rules are analyzed and analytical comparisons between them in multistage serial and meeting creation tactics are awarded. Illustrated by means of rigorously selected examples and supported by way of analytical options, discussions supplied

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The Base-stock control system uses the idea of a safety stock for finished goods inventory as well as safety buffers between workstations for coordination. 18 2 Production Systems Base-stock control system limits the amount of inventory between each production stage and the demand process. It tries to maintain a certain amount of WIP in each stage. This amount is called the basestock level of each stage. In other words, the basestock level of a production stage determines the maximum planned inventory of the outputs of the stage (Lee and Zipkin 1992).

POQ represents the number of demand periods covered by each order. For example, if POQ is two, then an order will be placed for two periods worth of demand. Part-period balancing (PPB) method is a dynamic approach to balance ordering and holding costs by changing the lot size to reflect requirements of the next lot size in the future. PPB is performed by determining the economic part period (EPP), which is the ratio of setup cost to holding cost. Wagner-Whitin method developed by Wagner and Whitin in 1958 is an algorithm based on dynamic programming principles to make optimal lot size decisions.

1994). Estimating the throughput of acyclic assembly system. International Journal of Production Research, 32, 1403–1419. , & Hopp, W. J. (1992). CONWIP assembly with deterministic processing and random outages. IIE Transactions, 24, 97–109. , & Hopp, W. J. (1993). Estimating the throughput of an exponential CONWIP assembly system. Queuing Systems, 14, 135–157. , & Patana-anake, P. (1998). Base-stock control for single product tandem maketo-stock systems. IIE Transactions, 30, 31–39. , & Di Mascolo, M.

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