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A hybrid strategy base on ant colony and taboo search algorithms is proposed for fuzzy job shop scheduling purpose, which uses the ant colony algorithm as a global search algorithm, and adopt taboo search algorithms as a local search algorithm. TS algorithms have stronger ability of the local search, which can overcome the disadvantages of ant colony(More)
Remote manufacturing allows companies to dynamically establish manufacturing alliances by exploiting advantages of enabling information technologies. Product data management and information integration are two of the most important issues for success of remote manufacturing. In this paper, we studied the two issues by taking a case of a remote manufacturing(More)
It has been proven that the distributed manufacturing system, if managed properly, can enable enterprises to reduce manufacturing costs, increase product quality and make better use of manufacturing resources. However, the dynamic scheduling in distributed manufacturing environments can be much more complex than that in the single integrated enterprise(More)
A kind of negotiation policy is proposed for the allocation problem solved by agent-based system in distributed manufacturing environment, in which subtasks in the same task have in-tree precedence constraints and flexible routes. With the formulation of the problem and that of combinatorial auction solution, the design, the procedure and the implementation(More)
Dynamic job shop scheduling is a frequently occurring and highly relevant problem in practical fuzzy manufacture environment. Previous research suggested that periodic rescheduling improves classical measures of efficiency; however, this strategy had the undesirable effect of compromising stability and this lack of stability could render even the most(More)