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Growing Science » International Journal of Industrial Engineering Computations » Integrated approach in solving parallel machine scheduling and location (ScheLoc) problem

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International Journal of Industrial Engineering Computations

ISSN 1923-2934 (Online) - ISSN 1923-2926 (Print)
Quarterly Publication
Volume 7 Issue 4 pp. 573-584 , 2016

Integrated approach in solving parallel machine scheduling and location (ScheLoc) problem Pages 573-584 Right click to download the paper Download PDF

Authors: Mohsen Rajabzadeh, Mohsen Ziaee, Ali Bozorgi-Amiri

DOI: 10.5267/j.ijiec.2016.4.003

Keywords: Scheduling, Layout planning, Parallel machines

Abstract: Scheduling and layout planning are two important areas of operations research, which are used in the areas of production planning, logistics and supply chain management. In many industries locations of machines are not specified, previously, therefore, it is necessary to consider both location and scheduling, simultaneously. This paper presents a mathematical model to consider both scheduling and layout planning for parallel machines in discrete and continuous spaces, concurrently. The preliminary results have indicated that the integrated model is capable of handling problems more efficiently.

How to cite this paper
Rajabzadeh, M., Ziaee, M & Bozorgi-Amiri, A. (2016). Integrated approach in solving parallel machine scheduling and location (ScheLoc) problem.International Journal of Industrial Engineering Computations , 7(4), 573-584.

Refrences
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Elvikis, D., Hamacher, H. W., & Kalsch, M. T. (2007). Scheduling and location (ScheLoc): makespan problem with variable release dates. Technische Universität Kaiserslautern, Fachbereich Mathematik.
Hennes, H., & Hamacher, H. W. (2002). Integrated scheduling and location models: single machine makespan problems. Technische Universität Kaiserslautern, Fachbereich Mathematik.
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Kalsch, M. T., & Drezner, Z. (2010). Solving scheduling and location problems in the plane simultaneously. Computers & Operations Research,37(2), 256-264.
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Pinedo, M. L. (2012). Scheduling: theory, algorithms, and systems. Springer Science & Business Media.
Scholz, D. (2011). Deterministic global optimization: geometric branch-and-bound methods and their applications (Vol. 63). Springer Science & Business Media.
Scholz, D. (2012a). Integrated scheduling and location problems. InDeterministic Global Optimization (pp. 109-116). Springer New York.
Scholz, D. (2012b). Summary and discussion. In Deterministic Global Optimization (pp. 129-132). Springer New York.
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Journal: International Journal of Industrial Engineering Computations | Year: 2016 | Volume: 7 | Issue: 4 | Views: 2240 | Reviews: 0

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