Based on credibility theory and two-stage fuzzy optimization method, this paper presents a type of multi-product multi-period (MPMP) production planning model. Since the proposed production planning problem includes fuzzy variable coefficients with an infinite support, it is infinite-dimensional optimization problem. The approximation of the production planning problem is discussed, and the con...

This paper presents a multi-objective formulation for optimal siting and sizing of distributed generation (DG) resources in distribution systems in order to minimize the cost of power losses and energy not supplied. The implemented technique is based on a genetic algorithm (GA) and weight method that employed to obtain the best compromise between these costs. Simulation results on 33-bus distri...

In this paper, power distribution planning (PDP) considering distributed generators (DGs) is investigated as a dynamic multi-objective optimization problem. Moreover, Monte Carlo simulation (MCS) is applied to handle the uncertainty in electricity price and load demand. In the proposed model, investment and operation costs, losses and purchased power from the main grid are incorporated in the f...

A three-level relief chain including a number of suppliers in fixed locations, candidate distribution centers and affected areas at certain points are considered. A mixed integer nonlinear programming model is proposed for open transportation location routing problem by considering split delivery of demand. To solve a realistic problem, foregoing parameters are considered as fuzzy in our propos...

The fair profit distribution problem of a typical supply chain network involving batch production is considered in this article. To implement this concept, we construct a multi-product batch production combined with multi-stage distribution planning model to achieve multiple objectives such as maximizing the customer service level, maximizing the profit of each participant company of the supply...