Manufacturing industries are facing stiff market competition, work pressures and a very competitive environment. This has forced them to be alert and take the desired decisions in order to achieve their goals. In this paper, a review study has been made on MCDM techniques in Manufacturing Industries. We found that the managers and engineers of the industries face a number of problems and situat...

There has been a growing interest and activity in the area of multiple criteria decision making (MCDM), especially in the last 20 years. Modeling and optimization methods have been developed in both crisp and fuzzy environments. The overwhelming majority of approaches for finding best compromise solutions to MCDM problems do not make use of the interdependences among the objectives. However, as...

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...

The TODIM method, which is an acronym in Portuguese for Iterative Multi-criteria Decision Making, is one of the first Multi-Criteria Decision Making (MCDM) founded on prospect Theory. One of the strong attributes is its capacity to treat risk MCDM problems. Nevertheless, TODIM in its original formulation is not able to take into account uncertain information of the decision matrix. In order to ...

A good hub centre will effectively help expand agglomeration economy effects and increase competitive advantages for global shipping carrier-based logistics service providers (GSLPs). Hence, the selection of hub location of logistics centre is very important for the GSLP companies. In light of this, the main purpose of this paper is to develop an integrated fuzzy MCDM model to evaluate the best...

The evaluation of clustering algorithms is intrinsically difficult because of the lack of objective measures. Since the evaluation of clustering algorithms normally involves multiple criteria, it can be modeled as a multiple criteria decision making (MCDM) problem. This paper presents an MCDM-based approach to rank a selection of popular clustering algorithms in the domain of financial risk ana...

Many multi-criteria decision making (MCDM) methods have been proposed to handle uncertain decision making problems. Most of them are based on fuzzy numbers and they are not able to cope with risk in decision making. In recent years, some MCDM methods based on prospect theory to handle risk MCDM problems have been developed. In this paper, we propose the Fuzzy TODIM for group decision making, so...

The maritime industry is a worldwide area of work where critical decisions are made in situations. fact that decision-making based on scientific and mathematical basis has been academic authorities' attendance for the last five decades. In this study, literature review conducted use techniques practices. survey, Multi-Criteria Decision-Making (MCDM) methods have examined, studies Turkey Interna...

Multiple Criteria Decision Making (MCDM) models make preference decisions over multiple attributes’ alternatives available, which in most of the cases conflict among themselves. On the other hand, the classic MCDM model assumes that the decision maker has a pre-defined fixed set of criteria, when taking a decision, and is presented with a clear picture of all available alternatives. This classi...

Emerging technologies of high-speed telecommunications create a perfect environment for incorporating MCDMbased analytical support tools into the distributed group decision support environment. What fundamental features of new communication technologies a system analyst must consider, in order to properly link the capabilities o,f MCDM techniques to distributed group decision support? We addres...