An adaptive tabu search approach for buffer allocation problem in unreliable non-homogenous production lines

Demir, Leyla; Tunalı, Semra; Eliiyi, Deniz Türsel

doi:10.1016/j.cor.2011.08.019

Cited by 47 publications

(36 citation statements)

References 38 publications

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“…The reader is addressed to Li & Meerkov, 2009;Papadopoulos, O'Kelly, Vidalis, & Spinellis, 2009;Shi & Gershwin, 2009, among others and the specific references of each category for a description of these techniques. Two recent publications include Demir, Tunalı, & Løkketangen, 2011and Demir, Tunalı, & Eliiyi, 2012. Papadopoulos, O'Kelly and Tsadiras (2013 compared several search algorithms such as simulated annealing, genetic algorithms, Tabu search algorithms and myopic algorithms in various sets of reliable production lines.…”

Section: The Buffer Allocation Problems (Baps) and Related Literaturementioning

confidence: 99%

An artificial neural network based decision support system for solving the buffer allocation problem in reliable production lines

Tsadiras

Papadopoulos

O’Kelly

2013

Computers & Industrial Engineering

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Section: The Buffer Allocation Problems (Baps) and Related Literaturementioning

confidence: 99%

An artificial neural network based decision support system for solving the buffer allocation problem in reliable production lines

Tsadiras

Papadopoulos

O’Kelly

2013

Computers & Industrial Engineering

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“…Also, it is worthy to point out that they made use of a decomposition method to address the aforementioned issue related to unreliable production lines. Two research contributions emphasizing the effectiveness of tabu search in solving the BAP are ascribable to [13,14]. First, they presented an adaptive tabu search (ATS) for designing unreliable non-homogenous production lines with the objective of throughput rate maximization.…”

Section: Introductionmentioning

confidence: 99%

A parallel tabu search for solving the primal buffer allocation problem in serial production systems

Costa

Alfieri

Matta

et al. 2015

Computers & Operations Research

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“…Hu and Meerkov [17] have shown that the equipment obeys the Bernoulli reliability model and proposed an analysis method to select the lean buffer for serial production lines. Demir et al [18] used the decomposition method to obtain the throughput evaluation model for asynchronous production lines and used an adaptive tabu search algorithm to determine the buffer capacity of the production line.…”

Section: Introductionmentioning

confidence: 99%

Research on the Reliability Allocation Method for a Production System Based on Availability

Wang

et al. 2020

Mathematical Problems in Engineering

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This paper involves a production system, which is composed of units (workstations) and buffers. The buffer is used to store semifinished and finished products in the production process, to reduce the impacts of bad equipment in the production system on the entire system performance. Considering the characteristics of the large number of components and the state of the buffers in the production system, this paper considers the influences of buffer states on upstream and downstream units. When using the availability as the allocation index and combining it with Markov theory, the production unit (workstation) and upstream and downstream buffers are regarded as an equivalent unit (workstation) with multiple output states. We establish the relationship between the availability of each equivalent unit (workstation) and the production system availability and determine a scaling factor for the availability of the equivalent unit to account for the system availability. The expected availability goal of the production system is allocated to each equivalent unit (workstation) by the scaling factor; then, the availability of each equivalent unit (workstation) is assigned to each unit. Finally, the Plant Simulation software is used to simulate and analyze the production system to verify the correctness of the allocation method and realize the reliability allocation from a complex production system to a unit.

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An adaptive tabu search approach for buffer allocation problem in unreliable non-homogenous production lines

Cited by 47 publications

References 38 publications

An artificial neural network based decision support system for solving the buffer allocation problem in reliable production lines

An artificial neural network based decision support system for solving the buffer allocation problem in reliable production lines

A parallel tabu search for solving the primal buffer allocation problem in serial production systems

Research on the Reliability Allocation Method for a Production System Based on Availability

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