In today’s competitive world, the need to supply chain management (SCM) is more than ever. Since the purpose of logistic problems is minimizing the costs of organization to create favorable time and place for the products, SCM seek to create competitive advantage for their organizations and increase their productivity. This paper proposes a new multi-objective model for integrated forward / rev...

This paper critically reviews research conducted from 1999-2013 on Green Logistics Network Design (GrLND). Basic features like decision variables, network structure, type of optimization techniques preferred, components of objective functions considered across various industries to improve their environmental performance has been identified. Finally, potential gaps for future studies are highli...

A public logistics network (PLN) is proposed as an alternate network to private logistics networks for the ground transport of parcels. In a PLN, a pricing protocol is used to coordinate the operation of the network. The goal of the proposed protocol is to match the load that values transport the highest with the truck that can provide that service at the least cost. This protocol has been impl...

&1 André Tischer Dipl Project Assistant, bauserve GmbH, Frankfurt, Germany; Research and Teaching Assistant, University of Technology Darmstadt, Darmstadt, Germany &2 Emilia den Boer Mgr Inz, MSc, Dr Inz Assistant Professor, Wroclaw University of Technology, Institute of Environment Protection Engineering, Wroclaw, Poland &3 Ian Williams PhD, PGCE, CChem, MRSC, MCIWM, FHEA Professor, Centre for...

Reverse logistics, as defined by the European Working Group on Reverse Logistics, is the process of planning, implementing and controlling backward flows of raw materials, in process inventory, packaging and finished goods, from a manufacturing, distribution or use point, to a point of recovery or point of proper disposal. In the broadest sense, this process involves collection, inspection, rec...

This paper studies a strategic supply chain management problem to design robust networks that perform well under both normal conditions and when disruptions strike. We present a mixed-integer programming model whose objective is to minimize the nominal cost (the cost when no disruptions occur) while reducing the disruption risk using the p-robustness criterion (which bounds the cost in disrupti...