Variable fleet size and mix VRP with fleet heterogeneity in Integrated Solid Waste Management

• Published in: Journal of cleaner production Vol. 230; pp. 1376 - 1395
• Main Authors: Asefi, Hossein, Shahparvari, Shahrooz, Chhetri, Prem, Lim, Samsung
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.09.2019
• Subjects: Fleet size and mix VRP; Goal programming; Integrated solid waste management; Lexicographic optimization; Municipal solid waste; Vehicle routing problem; Lexicographic optimization; Vehicle routing problem; Integrated solid waste management; Fleet size and mix VRP; Municipal solid waste; Goal programming
• ISSN: 0959-6526; 1879-1786
• DOI: 10.1016/j.jclepro.2019.04.250

The Integrated Solid Waste Management (ISWM) is a recent effective tool to manage with the growing challenge of Municipal Solid Waste (MSW). The ISWM integrates all the system components (i.e. transfer, treatment, recycling and disposal of wastes) to enhance the sustainable waste management whilst reducing operational costs. In this paper, we investigate an integrated framework of the Fleet Size and Mix Vehicle Routing Problem (VRP) to optimize the cost-effective ISWM system. A novel bi-objective Mixed-Integer Linear Programming (MILP) model is developed to concurrently minimize the transportation cost in the entire waste management system and total deviation from the fair load allocation to transfer stations. A complete ISWM system with all interdependent facilities and multiple technologies, is developed to address a tri-echelon Fleet Size and Mix VRP with a heterogeneous fleet of vehicles under multiple technologies and waste compatibility constraints. The model was solved for both the Preemptive and Non-Preemptive conditions using Lexicographic and Goal Programming optimization approaches. The model was tested on a case of ISWM in the Southern part of Tehran, Iran.