G2TT
来源类型Monograph (IIASA Research Report (Reprint))
规范类型报告
A Stochastic Approach to Hierarchical Planning and Scheduling.
Dempster MAH
发表日期1984
出版者IIASA, Laxenburg, Austria: RR-84-006.
出版年1984
语种英语
摘要This paper surveys recent results for stochastic discrete programming models of hierarchical planning problems. Practical problems of this nature typically involve a sequence of decision over time at an increasing level of detail and with increasingly accurate information. These may be modeled by multistage stochastic programs whose lower levels (later stages) are stochastic versions of similar NP-hard deterministic combinatorial optimization problems and hence require the use of approximations and heuristics for near-optimal solution. After a brief survey of distributional assumptions on processing times under which SEPT and LEPT policies remain optimal for m-machine scheduling problems, results are presented for various 2-level scheduling problems in which the first stage concerns the acquisition (or assignment) of machines. For example, heuristics which are asymptotically optimal in expectation as the number of jobs in the system increases are analyzed for problems whose second stages are either identical or uniform m-machine scheduling problems. A 3-level location, distribution and routing model in the plane is also discussed.
主题System and Decision Sciences - Core (SDS)
URLhttp://pure.iiasa.ac.at/id/eprint/2406/
来源智库International Institute for Applied Systems Analysis (Austria)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/122970
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GB/T 7714
Dempster MAH. A Stochastic Approach to Hierarchical Planning and Scheduling.. 1984.
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