Mathematical modelling and heuristic approaches to the location-routing problem of a cost-effective integrated solid waste management

Mathematical modelling and heuristic approaches to the location-routing problem of a... Ann Oper Res https://doi.org/10.1007/s10479-018-2912-1 S.I.: OR IN TRANSPORTATION Mathematical modelling and heuristic approaches to the location-routing problem of a cost-effective integrated solid waste management 1 1 1,2 H. Asefi · S. Lim · M. Maghrebi · S. Shahparvari © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract Integrated solid waste management (ISWM) comprises activities and processes to collect, transport, treat, recycle and dispose municipal solid wastes. This paper addresses the ISWM location-routing problem in which different types of municipal solid wastes are factored concurrently into an integrated system with all interrelated facilities. To support a cost-effective ISWM system, the number of locations of the system’s components (i.e. transfer stations; recycling, treatment and disposal centres) and truck routing within the system’s components need to be optimized. A mixed-integer linear programming (MILP) model is presented to minimise the total cost of the ISWM system including transportation costs and facility establishment costs. To tackle the non-deterministic polynomial-time hardness of the problem, a stepwise heuristic method is proposed within the frames of two meta-heuristic approaches: (i) variable neighbourhood search (VNS) and (ii) a hybrid VNS and simulated annealing algorithm (VNS + SA). A real-life case study from an existing ISWM system http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Annals of Operations Research Springer Journals

Mathematical modelling and heuristic approaches to the location-routing problem of a cost-effective integrated solid waste management

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Publisher
Springer US
Copyright
Copyright © 2018 by Springer Science+Business Media, LLC, part of Springer Nature
Subject
Business and Management; Operations Research/Decision Theory; Combinatorics; Theory of Computation
ISSN
0254-5330
eISSN
1572-9338
D.O.I.
10.1007/s10479-018-2912-1
Publisher site
See Article on Publisher Site

Abstract

Ann Oper Res https://doi.org/10.1007/s10479-018-2912-1 S.I.: OR IN TRANSPORTATION Mathematical modelling and heuristic approaches to the location-routing problem of a cost-effective integrated solid waste management 1 1 1,2 H. Asefi · S. Lim · M. Maghrebi · S. Shahparvari © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract Integrated solid waste management (ISWM) comprises activities and processes to collect, transport, treat, recycle and dispose municipal solid wastes. This paper addresses the ISWM location-routing problem in which different types of municipal solid wastes are factored concurrently into an integrated system with all interrelated facilities. To support a cost-effective ISWM system, the number of locations of the system’s components (i.e. transfer stations; recycling, treatment and disposal centres) and truck routing within the system’s components need to be optimized. A mixed-integer linear programming (MILP) model is presented to minimise the total cost of the ISWM system including transportation costs and facility establishment costs. To tackle the non-deterministic polynomial-time hardness of the problem, a stepwise heuristic method is proposed within the frames of two meta-heuristic approaches: (i) variable neighbourhood search (VNS) and (ii) a hybrid VNS and simulated annealing algorithm (VNS + SA). A real-life case study from an existing ISWM system

Journal

Annals of Operations ResearchSpringer Journals

Published: Jun 4, 2018

References

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