Mixed integer linear programming models for Flow Shop Scheduling with a demand plan of job types

Mixed integer linear programming models for Flow Shop Scheduling with a demand plan of job types CEJOR https://doi.org/10.1007/s10100-018-0553-8 ORIGINAL PAPER Mixed integer linear programming models for Flow Shop Scheduling with a demand plan of job types 1 2 Joaquín Bautista-Valhondo · Rocío Alfaro-Pozo © Springer-Verlag GmbH Germany, part of Springer Nature 2018 Abstract This paper presents two mixed integer linear programming (MILP) mod- els that extend two basic Flow Shop Scheduling problems: Fm/prmu/C and max Fm/block/C . This extension incorporates the concept of an overall demand plan max for types of jobs or products. After using an example to illustrate the new problems under study, we evaluated the new models and analyzed their behaviors when applied to instances found in the literature and industrial instances of a case study from Nis- san’s plant in Barcelona. CPLEX solver was used as a solution tool and obtained acceptable results, allowing us to conclude that MILP can be used as a method for solving Flow Shop Scheduling problems with an overall demand plan. Keywords Flow Shop Scheduling problem · Mixed model sequencing problem · Mixed model assembly lines · Overall demand plan · Mixed integer linear programming 1 Preliminaries The Flow Shop Scheduling problem (FSP) is a sequencing problem that has received considerable attention from professionals and researchers http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Central European Journal of Operations Research Springer Journals

Mixed integer linear programming models for Flow Shop Scheduling with a demand plan of job types

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Publisher
Springer Berlin Heidelberg
Copyright
Copyright © 2018 by Springer-Verlag GmbH Germany, part of Springer Nature
Subject
Business and Management; Operations Research/Decision Theory
ISSN
1435-246X
eISSN
1613-9178
D.O.I.
10.1007/s10100-018-0553-8
Publisher site
See Article on Publisher Site

Abstract

CEJOR https://doi.org/10.1007/s10100-018-0553-8 ORIGINAL PAPER Mixed integer linear programming models for Flow Shop Scheduling with a demand plan of job types 1 2 Joaquín Bautista-Valhondo · Rocío Alfaro-Pozo © Springer-Verlag GmbH Germany, part of Springer Nature 2018 Abstract This paper presents two mixed integer linear programming (MILP) mod- els that extend two basic Flow Shop Scheduling problems: Fm/prmu/C and max Fm/block/C . This extension incorporates the concept of an overall demand plan max for types of jobs or products. After using an example to illustrate the new problems under study, we evaluated the new models and analyzed their behaviors when applied to instances found in the literature and industrial instances of a case study from Nis- san’s plant in Barcelona. CPLEX solver was used as a solution tool and obtained acceptable results, allowing us to conclude that MILP can be used as a method for solving Flow Shop Scheduling problems with an overall demand plan. Keywords Flow Shop Scheduling problem · Mixed model sequencing problem · Mixed model assembly lines · Overall demand plan · Mixed integer linear programming 1 Preliminaries The Flow Shop Scheduling problem (FSP) is a sequencing problem that has received considerable attention from professionals and researchers

Journal

Central European Journal of Operations Research – Springer Journals

Published: May 29, 2018

References

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