The optimality of balancing workloads in certain types of flexible manufacturing systems

Symmetric mathematical programming is used to analyze the optimality of balancing workloads to maximize the expected production in a single-server closed queuing network model of a flexible manufacturing system (FMS). In particular, using generalized concavity we prove that, even though the producti...

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Published in:European journal of operational research 1985-04, Vol.20 (1), p.68-82
Main Authors: Stecke, Kathryn E., Morin, Thomas L.
Format: Article
Language:English
Subjects:
Automation
Flexible manufacturing systems
FMS loading
Manufacturing
Mathematical analysis
Mathematical programming
Operations research
Production planning
symmetric mathematical programming
workload balancing
Workloads
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description Symmetric mathematical programming is used to analyze the optimality of balancing workloads to maximize the expected production in a single-server closed queuing network model of a flexible manufacturing system (FMS). In particular, using generalized concavity we prove that, even though the production function is not concave, balancing workloads maximizes the expected production in certain types of m-machine FMS's with n parts in the system. Our results are compared and contrasted with previous models of production systems.
doi_str_mv 10.1016/0377-2217(85)90285-1
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source ScienceDirect Journals
subjects Automation
Flexible manufacturing systems
FMS loading
Manufacturing
Mathematical analysis
Mathematical programming
Operations research
Production planning
symmetric mathematical programming
workload balancing
Workloads
title The optimality of balancing workloads in certain types of flexible manufacturing systems
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