A variable neighborhood search based matheuristic for a waste cooking oil collection network design problem | Kütüphane.osmanlica.com

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

İsim A variable neighborhood search based matheuristic for a waste cooking oil collection network design problem
Yazar Ölmez, Ömer Berk, Gültekin, Ceren, Koyuncu, Burcu Balçık, Ekici, Ali, Özener, Okan Örsan
Basım Tarihi: 2022-10
Basım Yeri - Elsevier
Konu Location routing problem, Logistics, Matheuristics, Variable neighborhood search, Waste cooking oil collection
Tür Süreli Yayın
Dil İngilizce
Dijital Evet
Yazma Hayır
Kütüphane: Özyeğin Üniversitesi
Demirbaş Numarası 0377-2217
Kayıt Numarası e6368f77-ece4-4f97-88df-064f4ce953d0
Lokasyon Industrial Engineering
Tarih 2022-10
Notlar DIP program for German–Israeli Cooperation ; Helen and Martin Kimmel Center for Molecular Design ; Minerva Foundation ; Israel Science Foundation
Örnek Metin 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
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A variable neighborhood search based matheuristic for a waste cooking oil collection network design problem

Yazar Ölmez, Ömer Berk, Gültekin, Ceren, Koyuncu, Burcu Balçık, Ekici, Ali, Özener, Okan Örsan
Basım Tarihi 2022-10
Basım Yeri - Elsevier
Konu Location routing problem, Logistics, Matheuristics, Variable neighborhood search, Waste cooking oil collection
Tür Süreli Yayın
Dil İngilizce
Dijital Evet
Yazma Hayır
Kütüphane Özyeğin Üniversitesi
Demirbaş Numarası 0377-2217
Kayıt Numarası e6368f77-ece4-4f97-88df-064f4ce953d0
Lokasyon Industrial Engineering
Tarih 2022-10
Notlar DIP program for German–Israeli Cooperation ; Helen and Martin Kimmel Center for Molecular Design ; Minerva Foundation ; Israel Science Foundation
Örnek Metin 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
Özyeğin Üniversitesi
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