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A mathematical model for supermarket location problem with stochastic station demands
Tarbiat Modares University, Tehran, Iran.
Tarbiat Modares University, Tehran, Iran.
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Production and Automation Engineering)ORCID iD: 0000-0001-5530-3517
Tarbiat Modares University, Tehran, Iran.
2018 (English)In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 72, p. 6p. 444-449Article in journal (Refereed) Published
Abstract [en]

This paper aims to investigate the effect of station demands variations on supermarket location problem (SLP). This problem arises in the real-world assembly line part feeding (PF) context where supermarkets are used as the intermediate storage areas for stations. To this purpose a stochastic SLP model is developed to optimize the total cost of PF in terms of shipment, inventory and installation costs. The computational results over a real case as well as different test instances verify that the station demands variation has an effect on the SLP solutions.

Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 72, p. 6p. 444-449
Keywords [en]
Deterministic, Stochastic, Part feeding, Supermarket, Optimization
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Production and Automation Engineering
Identifiers
URN: urn:nbn:se:his:diva-15928DOI: 10.1016/j.procir.2018.03.254ISI: 000526120800076Scopus ID: 2-s2.0-85049597608OAI: oai:DiVA.org:his-15928DiVA, id: diva2:1231044
Conference
51st CIRP Conference on Manufacturing Systems (CIRP CMS 2018), 16-18 May 2018, Stockholm, Sweden
Note

CC BY-NC-ND 4.0

Edited by Lihui Wang

Available from: 2018-07-05 Created: 2018-07-05 Last updated: 2022-07-15Bibliographically approved

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Fathi, Masood

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