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Decision process includes complexity in which all of environmental conditions are evaluated in accordance with objectives. The aim of this study is to present a multi-objective decision making (MODM) process by using fuzzy set applications. Process is considered in the concept of two person non-constant sum games and all phases are executed in game theoretic perspective by evaluating the mutual strategies of players. To demonstrate the validity and applicability of proposed methodology for competition environments, a case and a numerical example is given. [ABSTRACT FROM AUTHOR]

In this paper, we propose a new hybrid meta-heuristic algorithm based on simulated annealing supplemented with tabu list for the Multi Objective Facility Layout Problem (MOFLP). It is a SA approach supplemented with a tabu list. The main advantage of this approach is that a short term memory provided by the tabu list can be used to avoid solution re-visits while preserving the stochastic nature of the SA method. The goal of the new hybrid heuristic algorithm is to find the solutions forming the set of efficient solutions (pareto optimal set) of the MOFLP's in a relatively short time. The hybrid meta-heuristic is illustrated with a practical example of plant with 8 departments and 4 objectives. An efficient set of layouts corresponding to pre-determined weights are obtained. And also the set of efficient pareto-optimal solutions of the problem are determined. [ABSTRACT FROM AUTHOR]

Automated guided vehicles (AGVs) have become quite popular with their applications in automatic materials handling systems, in flexible manufacturing systems and even in seaports. In consequence of their widespread employment, the problems in these systems have emerged increasingly. In this study, a mathematical programming model is proposed for setting up an AGV system. When an AGV system is to be set up, flow path design and determination of the numbers and types of the required vehicles are crucial decisions for the system efficiency. In the literature, no model is present that solve these problems simultaneously. Therefore here an integrated mixed integer linear programming model is proposed to solve the foregoing problems for the preliminary design. The solvability of the model is shown on the randomly generated test problems. [ABSTRACT FROM AUTHOR]

In this study, an algorithm is developed to solve traditional assembly line balancing problem with fuzzy operation times. Variability and uncertainty in the assembly line balancing problem is traditionally modelled through the use of statistical distributions. This may not be feasible in cases where no historical data exists. For this reason, the proposed algorithm uses fuzzy operation times determined by an expert to balance the new assembly line. The developed solution algorithm is coded by Java programming language and is tested in a factory to balance a new assembly line. [ABSTRACT FROM AUTHOR]