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Allocation of Repairable and Replaceable Components for a System Availability Using Selective Maintenance with Probabilistic Maintenance Time Constraints 被引量:3
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作者 Irfan Ali Mohammed Faisal Khan +1 位作者 Yashpal Singh Raghav Abdul Bari 《American Journal of Operations Research》 2011年第3期147-154,共8页
In this paper, we obtain optimum allocation of replaceable and repairable components in a system design. When repair and replace time are considered as random in the constraints. We convert probabilistic constraint in... In this paper, we obtain optimum allocation of replaceable and repairable components in a system design. When repair and replace time are considered as random in the constraints. We convert probabilistic constraint into an equivalent deterministic constraint by using chance constrained programming. We have used the selective maintenance policy to determine how many components to be replaced & repaired within the limited maintenance time interval and cost. A Numerical example is presented to illustrate the computational procedure and problem is solved by using LINGO Software. 展开更多
关键词 sELECTIVE Maintenance AVAILABILITY Optimization and ALLOCATION chance’s CONsTRAINTs
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Chance and Challenge of China's Entry into WTO on the Auto Industry
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作者 Sun Lin 《中国汽车(英文版)》 1999年第8期3-6,共4页
1. Outline of China Auto In-dustry China auto industry com-menced in the early 1950s, but slow in progress during the period between 1950s and 1980s. Its gross output of vehicles in 1991 was up to 710,000 units, and t... 1. Outline of China Auto In-dustry China auto industry com-menced in the early 1950s, but slow in progress during the period between 1950s and 1980s. Its gross output of vehicles in 1991 was up to 710,000 units, and thereafter the output has been increased more rapidly. In 1992, 1,060,000 vehi-cles were produced, which was the first time to exceed one million. In 1998 the output was 1,638,000 u- 展开更多
关键词 In AUTO chance and Challenge of China’s Entry into WTO on the Auto Industry WTO
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