Mathematical models and meta heuristics for capacitated green vehicle routing problems development and analysis
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Abstract
The concepts of green economics and sustainability practices have been
newlinereligiously shaping the futuristic supply chain network designs. The newly refined
newlinegreen policies demand a changed way of conducting business and are rewriting
newline
newlinethe traditional profit centric economy into a more responsible and socio-
newlineenvironmental centric one. In the supply chain design context, the transportation
newline
newlinesector seeks an obvious attention as a consequence of its overwhelming
newlinedependency on fossil fuels. The green vehicle routing problem enjoined by the
newlineglobal sustainability conscience is a seminal work on the contemporary green
newlineresearch in supply chain management. Inspired by the replete pollution-routing
newlineliterature, the present research acknowledges the significance of redesigning the
newlinelogistic networks in a low emission perspective.
newlineThis research proposes three logistic models to address the capacitated
newlinevehicle routing problems namely, (i) capacitated vehicle routing problem -
newlinepickup/collection only, (ii) multi-depot vehicle routing problem delivery only,
newlineand (iii) location-routing problem with simultaneous pickup and delivery. The
newlinefirst model generates classical, distance centric and economically viable route
newlineplans. In the second model, the environmental friendly routes are generated. The
newlinethird model is slated to bring a trade-off between the first two models. The three
newlinemodels are formulated as integer linear programming models and are solved with
newlinebranch-and-bound based exact algorithm. Owing to the computational time
newlinecomplexity of the NP-hard problem for generating time bound results, an Ant
newlineColony Optimisation (ACO) algorithm is designed to solve the models. The
newlineperformance of the algorithm is further enhanced by introducing a powerful
newlineVariable Neighbourhood Search (VNS). The first phase of the research addresses a milk collection problem from
newlinethe Indian sub-continent. The work is motivated by the opportunity to redesign an
newlineexisting logistic plan in a dairy industry.