Coping with the Loss of Pooling Synergy in Cellular Manufacturing Systems

DOI10.1287/mnsc.40.4.466zbMath0800.90577OpenAlexW2158094020MaRDI QIDQ4302924

Jack R. Meredith, Nallan C. Suresh

Publication date: 21 August 1994

Published in: Management Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1287/mnsc.40.4.466

Mathematics Subject Classification ID

Deterministic scheduling theory in operations research (90B35) Queues and service in operations research (90B22)

Related Items (21)

A mathematical model and a heuristic approach for design of the hybrid manufacturing systems to facilitate one-piece flow ⋮ Virtual manufacturing cells: A taxonomy of past research and identification of future research issues ⋮ A genetic algorithm based heuristic for scheduling of virtual manufacturing cells (VMCs) ⋮ Evaluating the shop-wide performance effect of pooling synergy with analytical models ⋮ Performance of hybrid cellular manufacturing systems: A computer simulation investigation ⋮ Stochastic analysis of TPS: expose and eliminate variability by highly specifying WCP ⋮ SOME UNDERLYING MATHEMATICAL DEFINITIONS AND PRINCIPLES FOR CELLULAR MANUFACTURING ⋮ Reconfiguration of a job shop to respond to product mix changes based on a virtual production system concept ⋮ The capacitated cell formation problem: a new hierarchical methodology ⋮ A new approach towards integrated cell formation and inventory lot sizing in an unreliable cellular manufacturing system ⋮ Reexamination of processing time uncertainty ⋮ Impact of worker and shop flexibility on assembly cells ⋮ A model for the design of dedicated manufacturing cells ⋮ Scheduling of unrelated parallel manufacturing cells with limited human resources ⋮ Performance evaluation of family-based dispatching in small manufacturing cells ⋮ A multi-objective procedure for labour assignments and grouping in capacitated cell formation problems ⋮ Analyzing the behaviors of virtual cells (VCs) and traditional manufacturing systems: Ant colony optimization (ACO)-based metamodels ⋮ Adaptive scheduling of batch servers in flow shops ⋮ Pooling Queues with Strategic Servers: The Effects of Customer Ownership ⋮ The impact of resource flexibility and staffing decisions on cellular and departmental shop performance ⋮ Incorporating the impact of learning in assessing the effectiveness of cellular manufacturing

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