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A GENERAL APPROACH FOR COORDINATING PRODUCTION IN MULTIPLE‐CELL MANUFACTURING SYSTEMS

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References

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1988Allocating buffer storages in a pull system75 cited
1985Just-in-time manufacturing system: a periodic pull system

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Cited by

1995Literature review of material flow control mechanisms73 cited
1995On the design of generalized kanban control systems68 cited
2011Token-based pull production control systems: an introductory overview55 cited
2008A comparison of JIT and TOC buffering philosophies on system performance with unplanned machine downtime52 cited
2001The case for modeling correlation in manufacturing systems47 cited
2005Manufacturing Operations Manuscripts Published in the First 52 Issues of POM : Review, Trends, and Opportunities46 cited
2003Comparison of DRP and TOC financial performance within a multi-product, multi-echelon physical distribution environment46 cited
2009Simulation optimisation of pull control policies for serial manufacturing lines and assembly manufacturing systems using genetic algorithms45 cited
1996Setting Base Stock Levels Using Product-Form Queueing Networks42 cited
2003Multi-Agent coordination based on tokens40 cited
2001A multi-class approximation technique for the analysis of kanban-like control systems37 cited
1996Managing Uncertainty in a Serial Production Line34 cited
1998Analysis of a single-stage, single-product, stochastic, MRP-controlled assembly system33 cited
2009A decomposition approximation for three-machine closed-loop production systems with unreliable machines, finite buffers and a fixed population28 cited
1997Computational Evaluation of Hierarchical Production Control Policies for Stochastic Manufacturing Systems25 cited
2011The optimal control of just-in-time-based production and distribution systems and performance comparisons with optimized pull systems22 cited