In this paper, sensitivity analysis of supply and demand parameters of an interval transportation problem is presented. A new solution method namely, upper-lower method is proposed to determine the ranges of supply and demand parameters in an interval transportation problem such that its optimal basis is invariant. To illustrate the proposed method a numerical example is solved. Then, the upper...

This paper deals with the transportation problem by considering the when the passenger capacity of an aircraft as a fuzzy parameter to minimize the operating cost. The passenger capacity of an aircraft is assumed to be fuzzy numbers with trapezoidal membership function. By the graded mean integration representation method, the model will be derived in the fuzzy sense in order to obtain the opti...

This work develops a fuzzy linear programming (FLP) method for solving the transportation planning decision (TPD) problems with fuzzy goals, available supply and forecast demand. The proposed method attempts to minimize the total production and transportation costs and the total delivery time with reference to available supply and machine capacities at each source, as well as forecast demand an...

Traffic congestion is rapidly increasing in urban areas, particularly in mega cities. To date, there exist a few sensor network based systems to address this problem. However, these techniques are not suitable enough in terms of monitoring an entire transportation system and delivering emergency services when needed. These techniques require real-time data and intelligent ways to quickly determ...

This paper presents a multi-objective fuzzy chance constrained capacitated transportation problem based on fuzzy goal programming problem with capacity restrictions on commodities which are shipped from different sources to different destinations. The capacity of each origin and the demand of each destination are considered random in nature with fuzzy normal stochastic parameters following norm...

Abstract In this article, we address a fully fuzzy triangular linear fractional programming (FFLFP) problem under the condition that all parameters and decision variables are characterized by numbers. Utilizing computation of numbers Lexicographic order (LO), FFLFP is changed over to multi-objective function. Consequently, into crisp problem. This paper outfits another idea for diminishing comp...

Hubs are facilities to collect arrange and distribute commodities in telecommunication networks, cargo delivery systems, etc. In this paper, an uncapacitated phub center problem in case of single allocation and also multiple allocation will be introduced in which travel times or transportation costs are considered as fuzzy parameters. Then, by proposing new methods, the presented problem is con...

This paper discusses how to solve balanced transportation problems, with costs in the form of trapezoidal fuzzy numbers. Fuzzy are transformed into crisp using Robust’s method as a ranking function. A new approach modified Hungarian has been applied problem transportation. solves one stage optimization and yields same results other methods that two stages.