this paper gives a new application of dea to evaluate the scheduling solutions of parallel processing. it evaluates the scheduling solutions of parallel processing using the non-convex dea model, fdh model. by introducing each solution of parallel processing scheduling as a dmu with some relevant inputs and outputs this paper shows that how the most efficient schedule(s) can be identified.

Although discriminating between all efficient decision making units (DMUs) with identical efficiency is a very important subject in data envelopment analysis (DEA), it may not be an easy task, particularly when the decision maker wants to select one and only one efficient DMU among all. There are some papers that have proposed methods for finding an efficient DMU as the most efficient one but h...

This paper gives a new application of DEA to evaluate the scheduling solutions of parallel processing. It evaluates the scheduling solutions of parallel processing using the non-convex DEA model, FDH model. By introducing each solution of parallel processing scheduling as a DMU with some relevant inputs and outputs this paper shows that how the most efficient schedule(s) can be identified.

In today's competitive market, quality has an important role in manufacturing system. The manufacturers attempt to maintain their production system in a proper condition to produce high quality products. One of the key factors to achieve this goal is maintenance policy. Most studies on maintenance focused on machines and less attention has been paid to human resources as the most important fact...

in today's competitive market, quality has an important role in manufacturing system. the manufacturers attempt to maintain their production system in a proper condition to produce high quality products. one of the key factors to achieve this goal is maintenance policy. most studies on maintenance focused on machines and less attention has been paid to human resources as the most important...

The popularity of simulated annealing comes from its ability to find close to optimal solutions for NPhard combinatorial optimization problems. Unfortunately, the method has a major drawback: its massive requirement of computation time. In this dissertation, we present an efficient annealing schedule which speeds up simulated annealing by a factor of up to twenty-four when compared with general...

scheduling has become an attractive area for artificial intelligence researchers. on other hand, in today's real-world manufacturing systems, the importance of an efficient maintenance schedule program cannot be ignored because it plays an important role in the success of manufacturing facilities. a maintenance program may be considered as the heath care of manufacturing machines and equip...