A new multi-objective heuristic algorithm for solving the stochastic assembly line re-balancing problem

Gamberini, Rita; Grassi, Andrea; Rimini, Bianca

doi:10.1016/j.ijpe.2005.02.013

Cited by 134 publications

(68 citation statements)

References 34 publications

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“…Fuzzy TOPSIS TOPSIS is a multi-criteria decision-making technique to rank different alternatives through numerical evaluations the decision maker performs with respect to certain criteria. Weights can also be specified for each criterion, in order to introduce a measure of the relative importance felt by the decision maker [24], [25]. The method is based on the consideration that the chosen alternative should have the shortest distance from the positive-ideal solution and the farthest distance from the negative ideal solution.…”

Section: The Proposed Methodologymentioning

confidence: 99%

A Hybrid Fuzzy Decision Making Procedure to Select among Outsourcing Alternatives for Waste of Electrical and Electronic Equipment

Erdoğan¹,

Küçük²,

Kaya³

2015

IJMO

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Abstract-In this paper, selection of outsourcing alternatives for waste of electrical and electronic equipment is performed with using fuzzy multi criteria decision making (MCDM) methodology. Related literature has been reviewed and the criteria are determined for evaluation. Five outsourcing firms are considered as alternatives for Istanbul Metropolitan Municipality and they are ranked according to the closeness coefficients that obtained by the proposed method. Finally the most appropriate outsourcing firm for waste of electrical and electronic equipment is determined for metropolitan municipality.Index Terms-Fuzzy decision making, outsourcing, waste electrical and electronic equipment.

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Section: The Proposed Methodologymentioning

confidence: 99%

A Hybrid Fuzzy Decision Making Procedure to Select among Outsourcing Alternatives for Waste of Electrical and Electronic Equipment

Erdoğan¹,

Küçük²,

Kaya³

2015

IJMO

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“…2011). There have been plenty of studies related with the TOPSIS method in the literature (Parkan & Wu, 1999;Gamberini et Chen & Hung, 2010;Tupenaite et at. 2010;Han&Liu, 2011;Aydogan, 2011;Huang & Peng, 2011;Chen, 2011;Sadi-Nezhad, Damghani, 2011;Kutlu & Ekmekc;ioglu, 2012;Awasthi & Chauhan, 2012).…”

Section: Fuzzy Topsismentioning

confidence: 99%

Using A Integrated MCDM Model for Mining Method Selection in Presence of Uncertainty

Yazdani-Chamzini

Yakchali

Zavadskas

2012

Economic Research-Ekonomska Istraživanja

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“…Kottas and Lau (1981) proposed a stochastic line balancing procedure and Sarin et al (1999) extended this work by adding more assumptions. Gamberini et al (2006) proposed a multi-objective heuristic algorithm for solving the stochastic assembly line re-balancing problem. Due to the high level of automation, assembly systems normally need significant amount of investment costs (Erel & Sarin, 1998).…”

Section: Introductionmentioning

confidence: 99%

A multi-objective method for solving assembly line balancing problem

Toroudi¹,

Madani²,

Sarlak³

et al. 2017

10.5267/j.dsl

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Modeling the simple assembly line balancing (SALB) problem has covered a wide range of real-world applications. The recent advances in optimization problems have created the opportunities to tackle more challenging problems. This paper presents a multi-objective decision making problem to consider two objectives, cost and cycle time, for simple assembly line balancing. The problem is formulated as a mixed integer nonlinear optimization and the proposed study of this paper uses two metaheuristics to solve the resulted problem on some benchmark problems. The preliminary results have indicated that multi objective particle swarm optimization (MOPSO) has provided better quality solutions while the hybrid method based on MOPSO and simulated annealing has yielded more non-dominated Pareto solutions.Growing Science Ltd. All rights reserved. 7

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A new multi-objective heuristic algorithm for solving the stochastic assembly line re-balancing problem

Cited by 134 publications

References 34 publications

A Hybrid Fuzzy Decision Making Procedure to Select among Outsourcing Alternatives for Waste of Electrical and Electronic Equipment

A Hybrid Fuzzy Decision Making Procedure to Select among Outsourcing Alternatives for Waste of Electrical and Electronic Equipment

Using A Integrated MCDM Model for Mining Method Selection in Presence of Uncertainty

A multi-objective method for solving assembly line balancing problem

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