This paper assumes that the demand is a Poisson random process, the inventory strategy is (s, S), each demand amount Q* is same, scale of the economic transport quantity Q0=p Q* (p is a positive integer), in which Q* is the optimal order quantity of joint pricing used by the supplier and retailer, and the supplier will be entitled to ignore small group of temporary order bills to accumulate the...

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We solve optimal transportation problem using stochastic optimal control theory. Indeed, for a super linear cost at most quadratic at infinity, we prove Kantorovich duality theorem by a zero noise limit (or vanishing viscosity) argument.. We also obtain a characterization of the support of an optimal measure in Monge-Kantorovich minimization problem (MKP) as a graph. Our key tool is a duality r...

Solution of a fuzzy transportation problem determines the transportation schedule that minimizes the total fuzzy transportation cost while satisfying the availability and requirement limits. A number of methods have been devised to solve a fuzzy transportation problem, but the solution obtained by some methods is not optimal. Obviously, the method which gives the optimal solution should be pref...

In real world applications the supply, the demand and the transportation cost per unit of the quantities in a transportation problem are hardly specified precisely because of the changing economic and environmental conditions. It is also important that the time required for transportation should be minimum. In this paper a method has been proposed for the minimization of transportation cost as ...

We analyze degeneracy characterizations for two classical problems: the transportation paradox in linear transportation problems and the pure constant fixed charge transportation problem. Solving the pure constant fixed charge problem is equivalent to finding a basic tree solution with maximum degree of degeneracy. Problems possess degenerate solutions if the equal subsum property is satisfied ...

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...

Traffic congestion problem is one of the major problems that face many transportation decision makers for urban areas. The problem has many impacts on social, economical and development aspects of urban areas. Hence the solution to this problem is not straight forward. It requires a lot of effort, expertise, time and cost that sometime are not available. Most of the existing transportation plan...

different decisions, including location decisions of companies which are operating in international dynamic environment are subject to significant uncertainty.so in this research an international facility location problem under uncertainty is considered and an integrated model for strategic and operational planning is presented. in strategic level countries are assessed according to internation...

Social problem-solving skills and transportation self-efficacy were assessed for 48 vocational rehabilitation consumers with visual disabilities who required assistance securing work transportation. Social problem solving was at the upper end of the normed average; transportation self-efficacy averaged 101.5 out of 140. Level of vision loss was not associated with score differences; urban resid...