NDLI: A discrete artificial bee colony algorithm for the Economic Lot Scheduling problem with returns

Content Provider	IEEE Xplore Digital Library
Author	Bulut, O. Tasgetiren, M.F.
Copyright Year	2014
Description	Author affiliation: Dept. of Eng., Yasar Univ., İzmir, Turkey (Bulut, O.; Tasgetiren, M.F.)
Abstract	In this study, we model the Economic Lot Scheduling problem with returns (ELSPR) under the basic period (BP) policy with power-of-two (PoT) multipliers, and solve it with a discrete artificial bee colony (DABC) algorithm. Tang and Teunter [1] is the first to consider the well-known economic lot scheduling problem (ELSP) with return flows and remanufacturing opportunities. Teunter et al. [2] and Zanoni et al. [3] recently extended this first study by proposing heuristics for the common cycle policy and for a modified basic period policy, respectively. As Zanoni et al. [3], we restrict the study to consider independently managed serviceable inventory to test the performance of the proposed algorithm. Our study, to the best of our knowledge, is the first to solve ELSPR using a meta-heuristic. ABC is a swarm-intelligence-based meta-heuristic inspired by the intelligent foraging behaviors of honeybee swarms. In this study, we implement the ABC algorithm with some modifications to handle the discrete decision variables. In the algorithm, we employ two different constraint handling methods in order to have both feasible and infeasible solutions within the population. Our DABC is also enriched with a variable neighborhood search (VNS) algorithm to further improve the solutions. We test the performance of our algorithm on the two problem instances used in Zanoni et al. [3]. The numerical study depicts that the proposed algorithm performs well under the BP-PoT policy and it has the potential of improving the best known solutions when we relax BP, PoT and independently managed serviceable inventory restrictions in the future.
Starting Page	551
Ending Page	557
File Size	1470017
Page Count	7
File Format	PDF
e-ISBN	9781479914883
DOI	10.1109/CEC.2014.6900524
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Manufacturing Sociology Statistics Production Algorithm design and analysis Linear programming Economics
Content Type	Text
Resource Type	Article

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