In the present paper, we focus on multi-level nonlinear integer programming problems (MLNLIPPs) in which there exist decision makers (DMs) with integer decision variables at all levels. Various approaches for multi-level programming problems could exist according to situations which the DMs are placed in. Assuming the cooperative relationship among the DMs at all levels, in this paper, an inter...

This study proposes a combination of a fuzzy sliding mode controller (FSMC) with integral-proportion-Derivative switching surface based superconducting magnetic energy storage (SMES) and PID tuned by a multi-objective optimization algorithm to solve the load frequency control in power systems. The goal of design is to improve the dynamic response of power systems after load demand changes. In t...

Nurse scheduling is a complex scheduling problem and involves generating a schedule for each nurse that consists of shift duties and days off within a short-term planning period. In real world applications, multiple sources of uncertainties are needed to be treated in providing higher quality schedules. This paper presents a seminal research on the application of fuzzy set theory to the nurse s...

Along with forward supply chain organization needs to consider the impact of reverse logistics due to its economic advantage, social awareness and strict legislations. In this paper, we develop a system dynamics framework for a closed-loop supply chain with fuzzy demand and fuzzy collection rate by incorporating product exchange policy in forward channel and various recovery options in reverse ...

Supplier selection decision is an important issue of purchasing management in supply chain management involving multiple objectives; however, it is difficult to solve because objectives are often conflicting in nature. This study integrates multi-choice goal programming (MCGP) and fuzzy approaches as decision aids to help decision makers to choose better suppliers by considering multiple aspira...

Reverse logistics (RLs) network design issues have been popularly discussed in recent years. However, few papers in past literature have been dedicated to the use of incentive effect on return quantity of used products. This study formulates an optimization model of RLs network design based on fuzzy mathematical programming with the aim of management in allocating used product by coordinating c...

Since the selection of middle managers is critical to the development of organizations for third-party logistics service providers (3PLs), how do the organizations of 3PLs select and recruit competent middle managers? The decision-making for middle managers selection poses a multi-criteria problem and faces a fuzzy environment. Hence, the aim of this paper is to develop a fuzzy multiple criteri...

In this article, we propose compromise allocations for multivariate stratified random sampling using the auxiliary attributes under non-response. We modified extended lexicographic goal programming technique and compared it with fuzzy goal programming and value function technique. We addressed the problem of compromise allocation when the auxiliary information is in the form of an auxiliary att...

The traditional single objective mean variance optimization model fails to satisfy the investors with multiple investment objectives. So multi-objective portfolio optimization model is considered in this paper. Since this will help investors to achieve highest expected return among the different financial products of the capital market and to fulfill the expected return objectives simultaneousl...