DETERMINATION OF THE OPTIMUM LOCATION IN REVERSE LOGISTICS: AN APPLICATION

Determination of the optimum location has importance for recycling center because of increase the significance share of reverse logistics in the economy. This study unsues to develop a solution using the available data to the real problem and the main purposes of the study are; * To evaluate the alt...

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Autor principal:	Orhan KÜÇÜK
Formato:	article
Lenguaje:	DE EN FR TR
Publicado:	Fırat University 2019
Materias:	reverse logistics recycling optimization problem fuzzy topsis Social Sciences H Social sciences (General) H1-99
Acceso en línea:	https://doaj.org/article/85a31f4c397f4bc5aac8b7e6f641e803
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spelling	oai:doaj.org-article:85a31f4c397f4bc5aac8b7e6f641e8032021-11-24T09:20:58ZDETERMINATION OF THE OPTIMUM LOCATION IN REVERSE LOGISTICS: AN APPLICATION2148-416310.9761/JASSS2368https://doaj.org/article/85a31f4c397f4bc5aac8b7e6f641e8032019-08-01T00:00:00Zhttps://jasstudies.com/index.jsp?mod=tammetin&makaleadi=1818645970_3-%20Do%C3%A7.%20Dr.%20Orhan%20K%C3%9C%C3%87%C3%9CK.pdf&key=27126https://doaj.org/toc/2148-4163Determination of the optimum location has importance for recycling center because of increase the significance share of reverse logistics in the economy. This study unsues to develop a solution using the available data to the real problem and the main purposes of the study are; * To evaluate the alternative plant location, according to the optimization criteria of plant location. * To determine the optimum plant location with linear programming based on the data of distance and amount of waste. *To determine to optimum plant location with Fuzzy TOPSİS model and to verify the results. This study has uses linear programming analysis to determine location of optimum facility with waste amount and distance dataset. Also, site of optimum establishment has been examined by fuzzy TOPSIS method. This method includes distance, waste amount, alternatives of transportation and population data. The amount of waste has been identified as the most important decision criteria of decisions makers. At the level of importance of the decision criteria, the distance is the second, the transportation facilities are the third and the forth is the population. The same alternative was determined to be optimum location in the light of the finding obtained from both linear programming and the optimization solution by fuzzy TOPSIS. The order of plant location obtained by linear programming which was (KY1 > KY2 > KY3 > KY4) has changed partially in fuzzy TOPSIS to (KY1 > KY3 > KY2 > KY4) and optimum plant location which had been discovered with linear programing in numerical analysis has been verified with fuzzy logic as a linguistic and qualitative application. This result shows that two methods can be used in optimization problems.Orhan KÜÇÜKFırat Universityarticlereverse logisticsrecyclingoptimization problemfuzzy topsisSocial SciencesHSocial sciences (General)H1-99DEENFRTRJournal of Academic Social Science Studies , Vol 7, Iss 27, Pp 27-38 (2019)
institution	DOAJ
collection	DOAJ
language	DE EN FR TR
topic	reverse logistics recycling optimization problem fuzzy topsis Social Sciences H Social sciences (General) H1-99
spellingShingle	reverse logistics recycling optimization problem fuzzy topsis Social Sciences H Social sciences (General) H1-99 Orhan KÜÇÜK DETERMINATION OF THE OPTIMUM LOCATION IN REVERSE LOGISTICS: AN APPLICATION
description	Determination of the optimum location has importance for recycling center because of increase the significance share of reverse logistics in the economy. This study unsues to develop a solution using the available data to the real problem and the main purposes of the study are; * To evaluate the alternative plant location, according to the optimization criteria of plant location. * To determine the optimum plant location with linear programming based on the data of distance and amount of waste. *To determine to optimum plant location with Fuzzy TOPSİS model and to verify the results. This study has uses linear programming analysis to determine location of optimum facility with waste amount and distance dataset. Also, site of optimum establishment has been examined by fuzzy TOPSIS method. This method includes distance, waste amount, alternatives of transportation and population data. The amount of waste has been identified as the most important decision criteria of decisions makers. At the level of importance of the decision criteria, the distance is the second, the transportation facilities are the third and the forth is the population. The same alternative was determined to be optimum location in the light of the finding obtained from both linear programming and the optimization solution by fuzzy TOPSIS. The order of plant location obtained by linear programming which was (KY1 > KY2 > KY3 > KY4) has changed partially in fuzzy TOPSIS to (KY1 > KY3 > KY2 > KY4) and optimum plant location which had been discovered with linear programing in numerical analysis has been verified with fuzzy logic as a linguistic and qualitative application. This result shows that two methods can be used in optimization problems.
format	article
author	Orhan KÜÇÜK
author_facet	Orhan KÜÇÜK
author_sort	Orhan KÜÇÜK
title	DETERMINATION OF THE OPTIMUM LOCATION IN REVERSE LOGISTICS: AN APPLICATION
title_short	DETERMINATION OF THE OPTIMUM LOCATION IN REVERSE LOGISTICS: AN APPLICATION
title_full	DETERMINATION OF THE OPTIMUM LOCATION IN REVERSE LOGISTICS: AN APPLICATION
title_fullStr	DETERMINATION OF THE OPTIMUM LOCATION IN REVERSE LOGISTICS: AN APPLICATION
title_full_unstemmed	DETERMINATION OF THE OPTIMUM LOCATION IN REVERSE LOGISTICS: AN APPLICATION
title_sort	determination of the optimum location in reverse logistics: an application
publisher	Fırat University
publishDate	2019
url	https://doaj.org/article/85a31f4c397f4bc5aac8b7e6f641e803
work_keys_str_mv	AT orhankucuk determinationoftheoptimumlocationinreverselogisticsanapplication
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DETERMINATION OF THE OPTIMUM LOCATION IN REVERSE LOGISTICS: AN APPLICATION

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