The solid transportation problem considers the supply, the demand and the conveyance satisfying the transportation requirement in a cost-effective manner. This paper develops a method that is able to derive the fuzzy objective value of the fuzzy solid transportation problem when the cost coefficients, the supply and demand quantities, conveyance capacities are fuzzy numbers and additional const...

The function of transportation services is covering of distances and transferring goods, passengers and messages from one place to another. There is a possibility to use a simple and complex cost model or their modification to reflect transportation costs and their impact. The resulting value obtained from the usage of a complex cost model is influenced by a material expensiveness, wage expensi...

This study aims to minimize the total cost of a four-echelon supply chain including suppliers, an assembler, distributers, and retailers. The total cost consists of purchasing raw materials from the suppliers by the assembler, assembling the final product, materials transportation from the suppliers to the assembler, product transportation from the assembler to the distributors, product transpo...

in the case of hazardous materials management, selected routes for carrying hazardous materials (i.e.,hazmat) have significant effects on locating hazmat distribution centers. since, risk and cost are usuallyconsidered as two main attributes to determine the best routes, optimized locations are sequentially outlineddepending on selected routes. in the present paper, two different approaches of ...

We consider the following transportation problem with both random and fuzzy factors. There exist m supply points and n demand points. For each route between supply point and demand point, unit transportation cost is a random variable according to a normal distribution and existence possibility denoting the preference choosing this route is attached. The probability that the total transportation...

A cost driven traffic assignment model is proposed to maximise the global benefit of transportation network users. A decentralised primal-dual time synchronised approach is used to solve for the optimal traffic rates subjecting the objective function to the bounds of the network tolerable costs. For a successful operation of the transportation network, the affordable upper bounds on the costs h...

Optimization means using resources and existing technology at the best possible way. Better planning and its execution results in optimization of many problems. Quantitative models and mathematical tools such as linear programming allows for better result. We can use modern computing equipment for this purpose. Nowadays various problems of operational planning for transportation problems are so...

This paper examines how the quality of exports depends on relative country size and its remoteness. Specific transportation cost is the key variable in our analysis as it gives rise to the Alchian-Allen effect. In the model, we allow for endogenous quality choice by a producer serving many international locations. Higher quality comes at higher marginal cost of production, but can be delivered ...

— In these lectures, we present a triple description of the concentration of measure phenomenon, geometric (through BrunnMinkoswki inequalities), measure-theoretic (through transportation cost inequalities) and functional (through logarithmic Sobolev inequalities), and investigate the relationships between these various viewpoints. Special emphasis is put on optimal mass transportation and the ...

In this article we present an algorithm for converting a network problem with several sources and several sinks including several transfer nodes and condition of supplying the demand of any sink from a particular source to the transportation problem.  Towards this end, and considering the very special structure of transportation algorithm, after implementing the shortest path algorithm or ...