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Heuristic Policies for the Stochastic Economic Lot Sizing Problem With Remanufacturing Under Service Level Constraints

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Date

2018

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier Science Bv

Open Access Color

HYBRID

Green Open Access

Yes

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0

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2

Publicly Funded

No
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Abstract

In this paper, we address the stochastic economic lot sizing problem with remanufacturing under service level constraints. The problem emerges in hybrid production systems where demand can be met via two alternative sources: manufacturing new products and remanufacturing returned products. The deterministic counterpart of this problem has been considered in the literature and it is shown to be NP-Hard. We focus on the case where period demands and returns are stochastic. The optimal solution to this problem is not a deterministic production schedule but a control policy, yet its structure has not yet been characterized. We propose two heuristic policies for the problem that make use of simple decision rules to control manufacturing and remanufacturing operations and present mathematical models thereof. (C) 2018 Elsevier B.V. All rights reserved.

Description

Kilic, Onur/0000-0003-2136-8157; Tunc, Huseyin/0000-0001-5508-3702; Tarim, S. Armagan/0000-0001-5601-3968

Keywords

Inventory, Stochastic Lot-Sizing, Remanufacturing, Heuristic, Mixed Integer Programming, Mixed integer programming, Inventory, Heuristic, Stochastic lot-sizing, Remanufacturing, Stochastic programming, stochastic lot-sizing, Inventory, storage, reservoirs, Approximation methods and heuristics in mathematical programming, remanufacturing, mixed integer programming, inventory, heuristic

Fields of Science

0209 industrial biotechnology, 0211 other engineering and technologies, 02 engineering and technology

Citation

Kılıç, O.A., Tunç, H., Tarım, S.A. (2018). Heuristic policies for the stochastic economic lot sizing problem with remanufacturing under service level constraints. European Journal of Operational Research, 267(3), 1102-1109. http://dx.doi.org/ 10.1016/j.ejor.2017.12.041

WoS Q

Q1

Scopus Q

Q1
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OpenCitations Citation Count
21

Source

European Journal of Operational Research

Volume

267

Issue

3

Start Page

1102

End Page

1109
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Citations

CrossRef : 2

Scopus : 23

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Mendeley Readers : 48

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