Fuzzy expert system for forecasting return amount in reverse logistics

Gül Tekin Temur; Muhammet Balcilar; Bersam Bolat

doi:10.1142/9789814417747_0151

Fuzzy expert system for forecasting return amount in reverse logistics

Gül Tekin Temur
, Muhammet Balcilar
, Bersam Bolat

Department of Management Engineering

Istanbul Technical University
Yildiz Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Depending on decrease in natural resources and increase in perception of people on environment, governments have begun to attach much importance to legal regulations for protecting environment. In consequence of legal enforcements and customer perception, all actors in the business area are forced to operate recovery activities for getting value from used or scrapped products. In reverse logistics (RL) which includes the control of backward move of goods, for the actors it becomes hard to make scheduling regarding to amount and time of returned products. Because in the uncertain nature of RL, it is not easy to know how much products will return at a given time. Therefore, in this study a fuzzy expert system is proposed for forecasting return amount. An application at an electrical and electronic equipment recycling (e-recycling) facility is conducted for clarifying how the method is used in a real decision process.

Original language	English
Title of host publication	World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.
Publisher	World Scientific Publishing Co. Pte Ltd
Pages	942-947
Number of pages	6
ISBN (Print)	9789814417730
DOIs	https://doi.org/10.1142/9789814417747_0151
Publication status	Published - 2012
Event	10th International Fuzzy Logic and Intelligent Technologies inNuclear Science Conference, FLINS 2012 - Istanbul, Turkey Duration: 26 Aug 2012 → 29 Aug 2012

Publication series

Name	World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.
Volume	7

Conference

Conference	10th International Fuzzy Logic and Intelligent Technologies inNuclear Science Conference, FLINS 2012
Country/Territory	Turkey
City	Istanbul
Period	26/08/12 → 29/08/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Access to Document

10.1142/9789814417747_0151

Cite this

Temur, G. T., Balcilar, M., & Bolat, B. (2012). Fuzzy expert system for forecasting return amount in reverse logistics. In World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf. (pp. 942-947). (World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.; Vol. 7). World Scientific Publishing Co. Pte Ltd. https://doi.org/10.1142/9789814417747_0151

Temur, Gül Tekin ; Balcilar, Muhammet ; Bolat, Bersam. / Fuzzy expert system for forecasting return amount in reverse logistics. World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.. World Scientific Publishing Co. Pte Ltd, 2012. pp. 942-947 (World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.).

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title = "Fuzzy expert system for forecasting return amount in reverse logistics",

abstract = "Depending on decrease in natural resources and increase in perception of people on environment, governments have begun to attach much importance to legal regulations for protecting environment. In consequence of legal enforcements and customer perception, all actors in the business area are forced to operate recovery activities for getting value from used or scrapped products. In reverse logistics (RL) which includes the control of backward move of goods, for the actors it becomes hard to make scheduling regarding to amount and time of returned products. Because in the uncertain nature of RL, it is not easy to know how much products will return at a given time. Therefore, in this study a fuzzy expert system is proposed for forecasting return amount. An application at an electrical and electronic equipment recycling (e-recycling) facility is conducted for clarifying how the method is used in a real decision process.",

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year = "2012",

doi = "10.1142/9789814417747\_0151",

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series = "World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.",

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booktitle = "World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.",

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Temur, GT, Balcilar, M & Bolat, B 2012, Fuzzy expert system for forecasting return amount in reverse logistics. in World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.. World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf., vol. 7, World Scientific Publishing Co. Pte Ltd, pp. 942-947, 10th International Fuzzy Logic and Intelligent Technologies inNuclear Science Conference, FLINS 2012, Istanbul, Turkey, 26/08/12. https://doi.org/10.1142/9789814417747_0151

Fuzzy expert system for forecasting return amount in reverse logistics. / Temur, Gül Tekin; Balcilar, Muhammet; Bolat, Bersam.
World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.. World Scientific Publishing Co. Pte Ltd, 2012. p. 942-947 (World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.; Vol. 7).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Temur, Gül Tekin

AU - Balcilar, Muhammet

AU - Bolat, Bersam

PY - 2012

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N2 - Depending on decrease in natural resources and increase in perception of people on environment, governments have begun to attach much importance to legal regulations for protecting environment. In consequence of legal enforcements and customer perception, all actors in the business area are forced to operate recovery activities for getting value from used or scrapped products. In reverse logistics (RL) which includes the control of backward move of goods, for the actors it becomes hard to make scheduling regarding to amount and time of returned products. Because in the uncertain nature of RL, it is not easy to know how much products will return at a given time. Therefore, in this study a fuzzy expert system is proposed for forecasting return amount. An application at an electrical and electronic equipment recycling (e-recycling) facility is conducted for clarifying how the method is used in a real decision process.

AB - Depending on decrease in natural resources and increase in perception of people on environment, governments have begun to attach much importance to legal regulations for protecting environment. In consequence of legal enforcements and customer perception, all actors in the business area are forced to operate recovery activities for getting value from used or scrapped products. In reverse logistics (RL) which includes the control of backward move of goods, for the actors it becomes hard to make scheduling regarding to amount and time of returned products. Because in the uncertain nature of RL, it is not easy to know how much products will return at a given time. Therefore, in this study a fuzzy expert system is proposed for forecasting return amount. An application at an electrical and electronic equipment recycling (e-recycling) facility is conducted for clarifying how the method is used in a real decision process.

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Temur GT, Balcilar M, Bolat B. Fuzzy expert system for forecasting return amount in reverse logistics. In World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.. World Scientific Publishing Co. Pte Ltd. 2012. p. 942-947. (World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.). doi: 10.1142/9789814417747_0151

Fuzzy expert system for forecasting return amount in reverse logistics

Abstract

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UN SDGs

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