In the context of public transportation system, improving the service quality and robustness through minimizing the average passengers waiting time is a real challenge. This study provides robust stochastic programming models for train timetabling problem in urban rail transit systems. The objective is minimization of the weighted summation of the expected cost of passenger waiting time, its va...

Robust supplier selection problem, in a scenario-based approach has been proposed, when the demand and exchange rates are subject to uncertainties. First, a deterministic multi-objective mixed integer linear programming is developed; then, the robust counterpart of the proposed mixed integer linear programming is presented using the recent extension in robust optimization theory. We discuss dec...

This paper deals with the stock portfolio selection problem involved trapezoidal fuzzy number returns and multiple mental accounts. A behavioral decision model is proposed to maximize possibilistic mean value of return ensure each account exceeding given minimum aspiration level a probability. Then, some programming models are designed solve optimal strategy. Finally, one numerical example illu...

This paper discusses a multi-objective portfolio optimization problem for practical portfolio selection in fuzzy environment, in which the return rates and the turnover rates are characterized by fuzzy variables. Based on the possibility theory, fuzzy return and liquidity are quantified by possibilistic mean, and market risk and liquidity risk are measured by lower possibilistic semivariance. T...

Khatter (Soft Comput 24:6847–16,867, 2020) pointed out that although several approaches are proposed in the literature to solve single-valued neutrosophic linear programming problems (SVNLPPS) (linear which all parameters except decision variables either represented by triangular numbers (SVTNNS) or trapezoidal (SVTrNNS)). However, methods for comparing (SVNNS), used existing approaches, indepe...

International laws and increasing consumer awareness have led to drastic changes in traditional supply chain network designs. Moreover, because of environmental social requirements, networks changed sustainable networks. On the other hand, reverse logistics can be effective terms economic aspects, so design as a closed loop is necessary. In addition, customers demand for different products with...

Humanitarian organizations pre-position relief items in pre-disaster and distribute them to the affected areas in post-disaster. Improper planning of emergency operations causes more deaths in post-disaster. In this paper, the problem of relief item pre-positioning and multi-period distribution planning is addressed considering lateral transhipment among distribution centres to improve the effi...

This research proposes a Preemptive Possibilistic Linear Programming (PPLP) approach for solving multiobjective Aggregate Production Planning (APP) problem with interval demand and imprecise unit price and related operating costs. The proposed approach attempts to maximize profit and minimize changes of workforce. It transforms the total profit objective that has imprecise information to three ...