This paper focuses on generating the optimal solutions of the solid transportation problem under fuzzy environment, in which the supply capacities, demands and transportation capacities are supposed to be type-2 fuzzy variables due to the instinctive imprecision. In order to model the problem within the framework of the credibility optimization, three types of new defuzzification criteria, i.e....

This paper proposes an optimal allocation problem with ramified transport technologies in a spatial economy. Ramified transportation is used to model network-like branching structures attributed to the economies of scale in group transportation. A social planner aims at finding an optimal allocation plan and an associated optimal allocation path to minimize the overall cost of transporting comm...

The latest transportation systems require the best routes in a large network with respect tomultiple objectives simultaneously to be calculated in a very short time. The label setting algorithm ofMartins efficiently finds this set of Pareto optimal paths, but sometimes tends to be slow, especially for large networks such as transportation networks. In this article we investigate a number of spe...

the location-routing problem is a relatively new branch of logistics system. its objective is to determine a suitable location for constructing distribution warehouses and proper transportation routing from warehouse to the customer. in this study, the location-routing problem is investigated with considering fuzzy servicing time window for each customer. another important issue in this regard ...

The increase in global competition and energy prices over the past decade has forced industries to search for potential savings in their transportation supply chains and logistics systems. In some industries, such as the forest products industry, minimizing the transportation costs of raw materials is even more crucial. The relatively low value and high weight of their raw materials accounts fo...

Though, in the literature, many heuristic approaches were developed in getting an initial solution, VAM (Vogel’s approximation method) is considered to be a better efficient heuristic approach since it often provides an optimal or near optimal solution to the transportation problem. In general, transportation problems involved in supply-chain management fields are unbalanced (total supply > tot...

Abstract: This paper presents an algorithm to find optimum cost time trade off pairs in a fractional capacitated transportation problem with bounds on total availabilities at sources and total destination requirements. The objective function is a ratio of two linear functions consisting of variable costs and profits respectively. Sometimes, situations arise where either reserve stocks have to b...

Sensitivity analysis of cost coefficients of an interval transportation problem is discussed. A new solution method namely, upper-lower method is proposed to determine the ranges of costs in the interval transportation problem such that its optimal basis is invariant. The proposed method is illustrated with the help of a numerical example. Further, the upper-lower method is extended to fuzzy tr...

Electrified transportation and power systems are mutually coupled networks. In this paper, a novel framework is developed for interdependent power and transportation networks. Our approach constitutes solving an iterative least cost vehicle routing process, which utilizes the communication of electrified vehicles (EVs) with competing charging stations to exchange data, such as electricity price...