There are several methods, in literature, for finding the fuzzy optimal solution of fully fuzzy transportation problems (transportation problems in which all the parameters are represented by fuzzy numbers). In this paper, the shortcomings of some existing methods are pointed out and to overcome these shortcomings, two new methods (based on fuzzy linear programming formulation and classical tra...

The present study is focused on assessing the role of logistics and transportation in green supply chain management (GSCM). To better understand important SCM issues in this key sector of the retail industry economy, the study was conducted through survey (interviews) with several retail supply chain executives in 10 major retailers in Northern India. A comprehensive questionnaire was formulate...

In order to investigate the effect of variation of the moisture content of forest biomass residues on a supply chain strategy, a simulation was performed using integrated biomass supply analysis and logistics modeling. A simple supply chain strategy was chosen and applied for Miramichi and Plaster Rock, two different regions in New Brunswick, Canada. These regions are selected based on three cr...

a considerable problem in competitive trade world is choosing the best supply chain. as a result in much more serious circumstances of competitions looking for the best supplier for manufacturing, for preparing raw material, is very significant. meantime suppliers have different scenarios to be fulfilled, such as changing selection variables like lead-time, transportation cost and transportatio...

The supply chain of a manufacturing enterprise is a world-wide network of suppliers, factories, warehouses, distribution centres and retailers through which raw materials are acquired, transformed and delivered to customers. Supply chain management is the strategic, tactical and operational level decision making that optimizes supply chain performance. The strategic level defines the supply cha...

We study a supply chain network equilibrium model for perishable products under the theory of discrete choice models, which comprises multiple perishable product manufacturers, distributors and retailers. Our goal is to present equilibrium outputs for different firms in this supply chain network model for perishable products based on retailers’ utility maximization. The network model is built u...

In this paper we propose a multi-objective, mixed integer linear programming model to design and manage the supply chain for biofuels. This model captures the tradeoffs that exist between costs, environmental and social impacts of delivering biofuels. The in-bound supply chain for biofuel plants relies on a hub-and-spoke structure which optimizes transportation costs of biomass. The model propo...

Intelligent transport systems (ITS) non-safety capabilities along with the development of next generation grid-based vehicles will continue to play a fundamental role in the development of new applications that can impact logistics and supply chain management operations. The principles characterizing non-safety ITS applications can be developed to increase the reliability and visibility of supp...

it is necessary to consider the impact of demand uncertainty to model the comprehensive approach for supply chain network design. this paper presents four echelons, multiple commodity, and strategic–tactical model for designing supply chain network. uncertain demand, transportation mode selection with lead time configuration has been considered. a numerical example has been implemented to verif...

Supply chain managers in a growing number of companies are using optimization models to support factbased decision-making. Such models assist them in making better decisions about sourcing, manufacturing, transportation, warehousing, customer service, and inventory management across the geographically dispersed facilities and markets of their companies' supply chains. Imbedded in easy-to-use sy...