Analysis of a multicriterial buffer capacity optimization problem for a production line

We consider a multicriterial optimization problem for volumes of buffers in a production line. We assume that the line has a series-parallel structure, and during its operation equipment stops occur due to failures, stops that are random in the moments when they arise and in their durations. The vol...

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Bibliographic Details
Published in:Automation and remote control Vol. 78; no. 7; pp. 1276 - 1289
Main Authors: Dolgui, A. B., Eremeev, A. V., Sigaev, V. S.
Format: Journal Article
Language:English
Published: Moscow Pleiades Publishing 01.07.2017
Springer Nature B.V
Subjects:
Assembly lines
Buffers
CAE) and Design
Calculus of Variations and Optimal Control; Optimization
Computer-Aided Engineering (CAD
Control
Evolutionary algorithms
Mathematics
Mathematics and Statistics
Mechanical Engineering
Mechatronics
Optimization
Production planning
Robotics
Stochastic Systems
Systems Theory
inventory costs
production system
productivity
capital costs
evolutionary algorithms
ISSN:0005-1179, 1608-3032
Online Access:Get full text
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Summary:We consider a multicriterial optimization problem for volumes of buffers in a production line. We assume that the line has a series-parallel structure, and during its operation equipment stops occur due to failures, stops that are random in the moments when they arise and in their durations. The volumes of buffers are integer-valued and bounded from above. As criteria we consider the average production rate of the line, capital costs for installing buffers, and the inventory cost for intermediate products. To approximate the Pareto optimal set we use evolutionary algorithms SIBEA and SEMO. Problems with larger dimension experimentally support the advantage of the modified SEMO algorithm with respect to the hypervolume of the resulting set of points.
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content type line 14
ISSN:0005-1179
1608-3032
DOI:10.1134/S0005117917070098