Interactive bicriterion decision support for a large scale industrial scheduling system

Ioanna Makarouni (), John Psarras () and Eleftherios Siskos ()

Annals of Operations Research, 2015, vol. 227, issue 1, 45-61

Abstract: In this paper we develop an interactive decision analysis approach to treat a large scale bicriterion integer programming problem, addressing a real world assembly line scheduling problem of a manufacturing company. This company receives periodically a set of orders for the production of specific items (jobs) through a number of specialised production (assembly) lines. The paper presents a non compensatory approach based on an interactive implementation of the ε-constraint method that enables the decision maker to achieve a satisfactory goal for each objective separately. In fact, the method generates and evaluates a large number of non dominated solutions that constitute a representative sample of the criteria ranges. The experience with a specific numerical example shows the efficiency and usefulness of the proposed model in solving large scale bicriterion industrial integer programming problems, highlighting at the same time the modelling limitations. Copyright Springer Science+Business Media New York 2015

Keywords: Multiple objective programming; Interactive decision analysis; Job scheduling; Pareto optimality; Mixed-model assembly line (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1007/s10479-013-1406-4

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