Open AccessEnergy-Efficient Location-Routing Problem with Time Windows with Dynamic Demand
Author(s) -
Shokoufeh Mirzaei,
Krishnan K. Krishnan,
Bayram Yildrim
Publication year - 2015
Publication title -
industrial and systems engineering review
Language(s) - English
Resource type - Journals
ISSN - 2329-0188
DOI - 10.37266/iser.2015v3i1.pp17-36
Subject(s) - mathematical optimization , energy consumption , energy (signal processing) , routing (electronic design automation) , computer science , aerodynamics , function (biology) , operations research , engineering , computer network , mathematics , statistics , electrical engineering , evolutionary biology , biology , aerospace engineering
Sustainability and energy savings have attracted considerable attention in recent years. However, in the traditional location-routing problem (LRP), the objective function has yet to minimize the distance traveled regardless of the amount of energy consumed. Although, distance is one of the major factors determining the energy consumption of a distribution network, it is not the only factor. Therefore, this paper explains the development of a novel formulation of the LRP that considers energy minimization, which is called the energy-efficient location-routing problem (EELRP). The energy consumed by a vehicle to travel between two nodes in a system depends on many forces. Among those, rolling resistance (RR) and aerodynamic drag are considered in this paper to be the major contributing forces. The presented mixed-integer non-linear program (MINLP) finds the best location-allocation routing plan with the objective function of minimizing total costs, including energy, emissions, and depot establishment. The proposed model can also handle the vehicle-selection problem with respect to a vehicles’ capacity, source of energy, and aerodynamic characteristics. The formulation proposed can also solve the problems with hard and soft time window constraints. Also, the model is enhanced to handle the EELRP with dynamic customers’ demands. Some examples are presented to illustrate the formulations presented in this paper.