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
OpenAIRE Downloads
0
OpenAIRE Views
2
Publicly Funded
No
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

OpenCitations Citation Count
21
Source
European Journal of Operational Research
Volume
267
Issue
3
Start Page
1102
End Page
1109
PlumX Metrics
Citations
CrossRef : 2
Scopus : 23
Captures
Mendeley Readers : 48
SCOPUS™ Citations
24
checked on Feb 24, 2026
Web of Science™ Citations
21
checked on Feb 24, 2026
Page Views
7
checked on Feb 24, 2026
Google Scholar™

OpenAlex FWCI
5.65252276
Sustainable Development Goals
9
INDUSTRY, INNOVATION AND INFRASTRUCTURE


