Multi-objective capacitated location-routing problem: modelling and a simulated annealing heuristic

Location-routing problem (LRP) is established as a new research area in the context of location analysis that concerns simultaneously both the problems of location of facilities and routing of vehicles among the established facilities and the existing demand points. In this paper, we address the multi-objective capacitated LRP, which may arise in many practical contexts in logistics and supply chain management. We present a bi-objective mathematical programming formulations to model the problem. The first objective is to minimise the overall system-wide costs, while the second objective is to minimise the maximum of delivery times to the customers. To solve the developed model, a simulated annealing (SA) based heuristic is proposed and the efficiency of the proposed solution procedure is illustrated by applying it to a standard benchmark set from literature.

[1]  Philippe Lacomme,et al.  A GRASP×ELS approach for the capacitated location-routing problem , 2010, Comput. Oper. Res..

[2]  Oli B.G. Madsen,et al.  A comparative study of heuristics for a two-level routing-location problem , 1980 .

[3]  Christian Prins,et al.  Solving the capacitated location-routing problem by a GRASP complemented by a learning process and a path relinking , 2006, 4OR.

[4]  Heng Wei,et al.  Study on continuous network design problem using simulated annealing and genetic algorithm , 2009, Expert Syst. Appl..

[5]  F. Altiparmak,et al.  The location-routing problem with simultaneous pickup and delivery: Formulations and a heuristic approach , 2012 .

[6]  Richard C. Larson,et al.  Urban Operations Research , 1981 .

[7]  Gilbert Laporte,et al.  Solving a Family of Multi-Depot Vehicle Routing and Location-Routing Problems , 1988, Transp. Sci..

[8]  Ching-Jung Ting,et al.  A simulated annealing heuristic for the capacitated location routing problem , 2010, Comput. Ind. Eng..

[9]  Rafael Caballero,et al.  Solving a multiobjective location routing problem with a metaheuristic based on tabu search. Application to a real case in Andalusia , 2007, Eur. J. Oper. Res..

[10]  W. Pierskalla,et al.  A Transportation Location-Allocation Model for Regional Blood Banking , 1979 .

[11]  Magdalene Marinaki,et al.  A Bilevel Genetic Algorithm for a real life location routing problem , 2008 .

[12]  Saïd Salhi,et al.  Location-routing: Issues, models and methods , 2007, Eur. J. Oper. Res..

[13]  Bassem Jarboui,et al.  Genetic algorithm with iterated local search for solving a location-routing problem , 2012, Expert Syst. Appl..

[14]  R. Tavakkoli-Moghaddam,et al.  A new integrated mathematical model for a bi-objective multi-depot location-routing problem solved by a multi-objective scatter search algorithm , 2010 .

[15]  Angel B. Ruiz,et al.  Solving the Capacitated Location-Routing Problem by a Cooperative Lagrangean Relaxation-Granular Tabu Search Heuristic , 2007, Transp. Sci..

[16]  C. Watson-Gandy,et al.  Depot location with van salesmen — A practical approach , 1973 .

[17]  N. Metropolis,et al.  Equation of State Calculations by Fast Computing Machines , 1953, Resonance.

[18]  G. Clarke,et al.  Scheduling of Vehicles from a Central Depot to a Number of Delivery Points , 1964 .