In this paper, new methodologies are proposed for solving unbalanced fuzzy transportation problems without converting into a balanced one. The advantages of these methodologies are to get an optimal solution. In the proposed method, transportation costs, demand and supply are represented by triangular fuzzy numbers. To illustrate the proposed method, numerical examples are solved and the obtain...

This paper is focusing on an important transportation application encountered in supply chains, namely the capacitated two-stage fixed-charge transportation problem. For solving this complex optimization problem we described a novel hybrid heuristic approach obtained by combining a genetic algorithm based on a hash table coding of the individuals with a powerful local search procedure. The prop...

Joint economic lot sizing (JELS) addresses integrated inventory models in a supply chain. Most of the studies in this field either do not consider the role of the transportation cost in their analysis or consider transportation cost as a fixed part of the ordering costs. In this article, a model is developed to analyze an incremental quantity discount in transportation cost. Appropriate equatio...

The natural gas supply chain involves three main agents: producers, transportation companies, and local distribution companies (LDCs). We present a MIP model that is the basis for a decision support system developed for a Chilean LDC. This model takes into account many of the complexities of the purchasing and transportation contracts to help optimize daily purchase and transportation decisions...

This article considers the two-stage fixed-charge transportation problem which models an important transportation application in a supply chain, from manufacturers to customers through distribution centers. For solving this optimization problem we describe a hybrid algorithm that combines a steady-state genetic algorithm with a local search procedure. The computational results for an often used...

Despite the obstacles caused by the data constraints and diversity of industrial structure, analysis of the service sector is growing in importance. Focusing on one service industry in particular—freight transportation—a research team led by Senior Fellow Yoko Konishi set about analyzing the time cost as well as the monetary cost—cost of gasoline, expressway tolls, drivers' wages, and so forth—...

A single source transportation problem is an ordinary transportation problem with the additional requirement that the entire demand at each demand location be supplied from a single supply location. It is a special case of Ross and Soland's generalized assignment problem. Such problems occur frequently in applications. This paper gives two heuristic solution methods and a branch and bound algor...

In the past decades a wide variety of transportation planning issues has come to the fore, addressing both the supply and the demand side. In this context a (seemingly) wide variety of different transportation models both static and dynamic, both microand macrooriented has been developed. The main question to be answered is whether this wide variety of transportation models (e.g., dynamic model...

In this paper, a new method is proposed for solving a special type of fuzzy transportation problem by assuming that a decision maker is uncertain about the precise values of transportation cost only but there is no uncertainty about the supply and demand of the product. In the proposed method transportation costs are represented by generalized trapezoidal fuzzy numbers. To illustrate the propos...