Evaluating centralized return centers in a reverse logistics network: An integrated fuzzy multi-criteria decision approach

Tuzkaya, Gülfem; Gülsün, Bahadır

doi:10.1007/bf03326029

Cited by 44 publications

(17 citation statements)

References 42 publications

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“…However, to validate the ranking, fuzzy TOPSIS approach is applied to the same data and the results are compared as below. Details of the fuzzy TOPSIS approach can be found in Tuzkaya and Gülsün [49]. For the criteria weights, same evaluation results obtained via fuzzy AHP approach are utilized.…”

Section: Comparison Of the Results With The Results Of Topsismentioning

confidence: 99%

A Multi-Criteria Decision Making Approach for Machine Tool Selection Problem in a Fuzzy Environment

Özgen¹,

Tuzkaya²,

Tuzkaya³

et al. 2011

IJCIS

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Tools and machines have an important effect on the manufacturing operations' effectiveness and the selection process of appropriate tools and machines is a complex issue with the consideration of multiple criteria. Considering the complexity of the problem area and the difficulties in machine tools evaluation processes, the main purpose of this study is to present a novel and effective methodology for machine tool selection problem. The proposed methodology constituted for this aim combines the modified DELPHI method, AHP (Analytical Hierarchy Process) and PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluations) approaches with fuzzy sets theory to be able to reflect the vagueness related to judgment of the decision-maker(s). A real life application is realized for pressing machine selection problem of a fixing products manufacturer from Turkey, Istanbul. The results of the proposed approach are compared with the results of fuzzy AHP-fuzzy TOPSIS approach. Additionally, sensitivity analyses are realized to show the changes in the results with the change in the criteria weights.

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Section: Comparison Of the Results With The Results Of Topsismentioning

confidence: 99%

A Multi-Criteria Decision Making Approach for Machine Tool Selection Problem in a Fuzzy Environment

Özgen¹,

Tuzkaya²,

Tuzkaya³

et al. 2011

IJCIS

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show abstract

“…bjective function (2) minimizes the sum of fixed costs, variable costs, and transportation costs resulting from each Equation (3) ensures that the sum of the used products collected in whole collection centers is the same as that treated centers. As the same meaning, equations (4) and (5) ensure that the sums treated in whole recovery centers and redistribution centers are the same as those in redistribution centers and secondary markets, respectively.…”

Section: Mathematical Formulationmentioning

confidence: 99%

“…On the other hand, second flow is called as a backward (or reverse) logistics network and it consists of customers, collection centers, recovery centers, redistribution centers, and secondary markets. Of the two flows, especially, reverse logistics (RL) network have recently focused on many researchers since increasing interests in exhaustion of resources and environmental regulation have caused the effective treatment of used products [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Evaluating Reverse Logistics Networks with Centralized Centers: An Adaptive Genetic Algorithm Approach Based on Fuzzy Logic Controller

Yang¹

2015

IJIIS

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This paper proposes an adaptive genetic algorithm (FLC-aGA) approach based on fuzzy logic controller (FLC) for evaluating the reverse logistics (RL) networks with centralized centers. For the FLC-aGA approach, an adaptive scheme using a fuzzy logic controller is applied to GA loop. Five components which are composed of customers, collection centers, recovery centers, redistribution centers, and secondary markets are used to design the RL networks. For the RL with centralized centers (RLCC), collection center, recovery center, redistribution center and secondary market will be opened alone. The RLCC will be formulated as a mixed integer programming (MIP) model and its objective function is to minimize the total cost of unit transportation costs, fixed costs, and variable costs under considering various constraints. The MIP model for the RLCC is solved by using the FLC-aGA approach. Three test problems with various sizes of collection centers, recovery centers, redistribution centers, and secondary markets are considered and they are compared the FLC-aGA approach with other competing approaches. Finally, the optimal solutions by the FLC-aGA and other competing approaches are demonstrated each other using some measures of performance.

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“…The ANP is a useful tool for prediction and for representing a variety of competitors with their surmised interactions and their relative strengths to wield influence in making a decision. The ANP is a coupling of two parts; the first consists of control hierarchy or a network of criteria and sub-criteria that controls the interactions, while the second is a network of influences among the elements and clusters (Saaty, 1999;Tuzkaya and Gulsun, 2008). In some cases, if there is vagueness for the decision problem, utilizing fuzzy sets is a useful way.…”

Section: Anp and F-anpmentioning

confidence: 99%

Environmental performance evaluation of suppliers: A hybrid fuzzy multi-criteria decision approach

Tuzkaya

Özgen

et al. 2009

Int. J. Environ. Sci. Technol.

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175

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ABSTRACT:Increasing environmental problems enforce companies to be more environmental responsible.A company's environmental performance is not only related to the company's inner environmental efforts, but also it is affected by the suppliers' environmental performance and image. As a stakeholder of the company, a supplier with bad environmental image affects badly the company's environmental image. Also, raw materials and semi-finished products supplied from out of the company recourses-suppliers-affects the products environmental features such as life cycle, re-usability, re-manufacturability, hazardous substances, etc. Considering these direct and indirect effects, managers should also consider environmental performances of their suppliers in their supplier evaluation process. In this paper, a methodology for the evaluation of suppliers' environmental performances is proposed. In this methodology, a hybrid Fuzzy-Analytic Network Process and Fuzzy-Preference Ranking Organization METHod for Enrichment Evaluations approach is utilized. Additionally, a numerical example is given to foster the better understanding of the methodology and the obtained results are analyzed with sensitivity analyses.

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Evaluating centralized return centers in a reverse logistics network: An integrated fuzzy multi-criteria decision approach

Cited by 44 publications

References 42 publications

A Multi-Criteria Decision Making Approach for Machine Tool Selection Problem in a Fuzzy Environment

A Multi-Criteria Decision Making Approach for Machine Tool Selection Problem in a Fuzzy Environment

Evaluating Reverse Logistics Networks with Centralized Centers: An Adaptive Genetic Algorithm Approach Based on Fuzzy Logic Controller

Environmental performance evaluation of suppliers: A hybrid fuzzy multi-criteria decision approach

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