A variable neighborhood search based matheuristic for a waste cooking oil collection network design problem

عنوان A variable neighborhood search based matheuristic for a waste cooking oil collection network design problem
نویسنده Ölmez, Ömer Berk, Gültekin, Ceren, Koyuncu, Burcu Balçık, Ekici, Ali, Özener, Okan Örsan
تاریخ انتشار: 2022-10
محل انتشار - Elsevier
موضوع Location routing problem, Logistics, Matheuristics, Variable neighborhood search, Waste cooking oil collection
نوع دوره ای
زبان انگلیسی
دیجیتال بله
نسخه خطی خیر
کتابخانه: دانشگاه اوزیغین
شناسه دارایی کتابخانه 0377-2217
شماره ثبت e6368f77-ece4-4f97-88df-064f4ce953d0
محل کتابخانه Industrial Engineering
تاریخ 2022-10
یادداشت‌ها DIP program for German–Israeli Cooperation ; Helen and Martin Kimmel Center for Molecular Design ; Minerva Foundation ; Israel Science Foundation
متن نمونه Households produce large amounts of waste cooking oil (WCO), which should be disposed properly to avoid its negative impacts on the environment. Using WCO as raw material in biodiesel production is an effective disposal method. In this study, we focus on designing an efficient WCO collection network, in which households deposit their WCO into the bins to be placed at several collection centers (CCs), which are then regularly collected by capacitated vehicles. We study the problem of determining (i) the number and location of the CCs, (ii) the assignment of households to the CCs, respecting a certain coverage distance threshold, (iii) the number of bins to place at each CC, and (iv) the vehicle routes navigating between the biodiesel facility and CCs to minimize the sum of fixed cost of opening CCs and placing bins at each CC and routing cost. To solve the proposed location-routing problem, we develop a novel matheuristic based on Variable Neighborhood Search, which incorporates an integer programming model to determine the bin allocation and assignment decisions. We evaluate the solution performance of different variants of the proposed algorithm by performing an extensive computational study on a set of hypothetical and case instances. The results show that the proposed matheuristic provides superior solutions with respect to benchmark algorithms.
DOI 10.1016/j.ejor.2021.12.018
Cilt 302
مشاهده در منبع دانشگاه اوزیغین دانشگاه اوزیغین - موتور جستجوی نسخه های خطی عثمانی
دانشگاه اوزیغین - موتور جستجوی نسخه های خطی عثمانی دانشگاه اوزیغین

A variable neighborhood search based matheuristic for a waste cooking oil collection network design problem

نویسنده Ölmez, Ömer Berk, Gültekin, Ceren, Koyuncu, Burcu Balçık, Ekici, Ali, Özener, Okan Örsan
تاریخ انتشار 2022-10
محل انتشار - Elsevier
موضوع Location routing problem, Logistics, Matheuristics, Variable neighborhood search, Waste cooking oil collection
نوع دوره ای
زبان انگلیسی
دیجیتال بله
نسخه خطی خیر
کتابخانه دانشگاه اوزیغین
شناسه دارایی کتابخانه 0377-2217
شماره ثبت e6368f77-ece4-4f97-88df-064f4ce953d0
محل کتابخانه Industrial Engineering
تاریخ 2022-10
یادداشت‌ها DIP program for German–Israeli Cooperation ; Helen and Martin Kimmel Center for Molecular Design ; Minerva Foundation ; Israel Science Foundation
متن نمونه Households produce large amounts of waste cooking oil (WCO), which should be disposed properly to avoid its negative impacts on the environment. Using WCO as raw material in biodiesel production is an effective disposal method. In this study, we focus on designing an efficient WCO collection network, in which households deposit their WCO into the bins to be placed at several collection centers (CCs), which are then regularly collected by capacitated vehicles. We study the problem of determining (i) the number and location of the CCs, (ii) the assignment of households to the CCs, respecting a certain coverage distance threshold, (iii) the number of bins to place at each CC, and (iv) the vehicle routes navigating between the biodiesel facility and CCs to minimize the sum of fixed cost of opening CCs and placing bins at each CC and routing cost. To solve the proposed location-routing problem, we develop a novel matheuristic based on Variable Neighborhood Search, which incorporates an integer programming model to determine the bin allocation and assignment decisions. We evaluate the solution performance of different variants of the proposed algorithm by performing an extensive computational study on a set of hypothetical and case instances. The results show that the proposed matheuristic provides superior solutions with respect to benchmark algorithms.
DOI 10.1016/j.ejor.2021.12.018
Cilt 302
دانشگاه اوزیغین - موتور جستجوی نسخه های خطی عثمانی
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