An Adaptive Tabu Search Approach for Buffer Allocation Problem in Unreliable Production Lines
Loading...
Files
Date
2010
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Vilnius Gediminas Technical University
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
The buffer allocation problem, i.e. how much buffer storage to allow and where to place it within the line, is an important research issue in designing production lines. In this study, buffer allocation problem is solved for unreliable non-homogeneous production lines. The objective is to maximize the throughput of the line under buffer capacity constraints. To evaluate the throughput of the line the decomposition method is employed. An adaptive tabu search approach is proposed to optimize the buffer sizes for each location. The performance of the proposed approach is evaluated by the computational tests. © Izmir University of Economics, Turkey, 2010.
Description
24th Mini EURO Conference on Continuous Optimization and Information-Based Technologies in the Financial Sector, MEC EurOPT 2010 -- 23 June 2010 through 26 June 2010 -- Izmir -- 106702
Keywords
Adaptive tabu search, Buffer allocation problem, Combinatorial optimization, Production lines, Combinatorial optimization, Adaptive tabu search, Adaptive tabu search approach, Buffer allocation, Buffer capacity, Computational tests, Decomposition methods, Non-homogeneous, Production line, Optimization, Deterministic scheduling theory in operations research, tabu search, combinatorial optimization, buffer allocation problem, production lines
Fields of Science
0209 industrial biotechnology, 0211 other engineering and technologies, 02 engineering and technology
Citation
WoS Q
N/A
Scopus Q
N/A

OpenCitations Citation Count
43
Source
24th Mini EURO Conference on Continuous Optimization and Information-Based Technologies in the Financial Sector, MEC EurOPT 2010
Volume
39
Issue
Start Page
207
End Page
212
PlumX Metrics
Citations
CrossRef : 25
Scopus : 56
Captures
Mendeley Readers : 41
SCOPUS™ Citations
5
checked on Mar 17, 2026
Page Views
7
checked on Mar 17, 2026
Google Scholar™


