The study of sheduling problem with dependent setup time in the two-stage manufacturing system

碩士 === 中原大學 === 工業工程研究所 === 82 === An ideal scheduling can both enhance the utility of machines and increase the productivity. However, the traditional sche- duling theories tend to get the best sequencing under the per- fect manufacturing...

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Bibliographic Details
Main Authors: LIU, Andy, 劉正華
Other Authors: Jiang, Jui Chin
Format: Others
Language:zh-TW
Published: 1994
Online Access:http://ndltd.ncl.edu.tw/handle/59367881910079470115
Description
Summary:碩士 === 中原大學 === 工業工程研究所 === 82 === An ideal scheduling can both enhance the utility of machines and increase the productivity. However, the traditional sche- duling theories tend to get the best sequencing under the per- fect manufacturing environment, and neglect the existing prob- lems of the shop floor, and result in that the scheduling theories cannot be applied in the shop floor. To recover the gap between the scheduling thoeries and practical sequencing, recent trends in scheduling research attempt to make it more relevant and applicable. In this way, the scheduling environm- ent in this based on the real shop floor situation. The paper studies the problem of scheduling sequence , which means loading dependent jobs on m pairs of indentical parallel machines. Those jobs must be processed through two stages. In the first stage, the setup time is sequence-dependent ; in the second one,it is not. The objective is to minimize the makespan. Meanwhile, take two cases when m=1 and m>1 into con- sideration to enlarge the scope of our research. We divide research scheme into two parts:one is allocation and the other sequencing. In the first part,we will construct the cost table, and then use Mathematical Programming to find an allocation model. Next, use the model or loading model to get an allocation. In the second part, use the approach of TSP to find sequencing with the above allocation. At the same time , use the approach of BaB to find optimal sequencine. Finally, compare the solution of linear programming with the optimal solution to find out their relationship.