Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/30521
Title: Optimal buffer allocation for serial production lines using heuristic search algorithms: A comparative study
Authors: Demir, Leyla.
Diamantidis, A.C.
Eliiyi, D.T.
O'Kelly, M.E.J.
Tunali, S.
Keywords: BAP
Buffer allocation problem
Degraded ceiling
Myopic algorithm
Production lines
Tabu search
Decision making
Learning algorithms
Modular robots
Reservation systems
Buffer allocation
Heuristic search algorithms
Optimal buffer allocations
Optimisation problems
Production line
Serial production line
Throughput maximisation
Heuristic algorithms
Publisher: Inderscience Enterprises Ltd.
Abstract: The buffer allocation problem (BAP) is one of the major optimisation problems faced by production system designers. BAP is widely studied in the literature since buffers have a great impact on efficiency of production lines. This paper deals with buffer allocation problem and compares the performance of three heuristic search algorithms, namely myopic algorithm (MA), degraded ceiling (DC), and adaptive tabu search (ATS) with respect to both throughput maximisation and also computational time. To generalise experimental findings the experiments have been conducted both for reliable and also unreliable serial production lines over various sizes of problem instances. It is hoped that the findings of this research study can serve as a guideline for the decision makers while designing and operating production lines. Copyright © 2019 Inderscience Enterprises Ltd.
URI: https://hdl.handle.net/11499/30521
https://doi.org/10.1504/IJISE.2019.102473
ISSN: 1748-5037
Appears in Collections:Mühendislik Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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