نتایج جستجو برای: dependent setup time

تعداد نتایج: 2463608  

The group scheduling problem in the cellular manufacturing system is comprised of two levels of scheduling. At the first level, the sequence of parts in each part-family is determined, and then at the second level the sequence of part-families is determined. In this paper, the flow shop group scheduling is investigated in order to minimize the makespan. In traditional group scheduling problems,...

2009
Monika Kofler Stefan Wagner Andreas Beham Gabriel Kronberger Michael Affenzeller

Setup costs are a crucial factor in many branches of industry and frequently sequence dependent. However, the empirical acquisition of setup costs is inaccurate and not practicable for companies with large product portfolios operating in volatile markets. We therefore propose an abstract model for the estimation of such sequence dependent setup costs and subsequently apply dispatching and sched...

In this paper, three-stage assembly flowshop scheduling is considered with respect to minimizing bi-objectives, namely mean flow time and mean tardiness. This problem is a model of production systems, which several production operations are done simultaneously and independently, and then produced components are collected and transferred to an assembly stage for the final operation. In this mode...

2013
M. T. Yazdani Sabouni Rasaratnam Logendran

We consider a typical problem in the assembly of printed circuit boards (PCBs) in a two-machine flow shop system to simultaneously minimize the weighted sum of weighted tardiness and weighted flow time. The investigated problem is a group scheduling problem in which PCBs are assembled in groups and the interest is to find the best sequence of groups as well as the boards within each group to mi...

Journal: :The International Journal of Advanced Manufacturing Technology 2011

Journal: :CoRR 2013
Tuan Phung-Duc

Queues with setup time are extensively studied because they have application in performance evaluation of power-saving data centers. In a data center, there are a huge number of servers which consume a large amount of energy. In the current technology, an idle server still consumes about 60% of its peak processing a job. Thus, the only way to save energy is to turn off servers which are not pro...

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