Solving Mixed Integer Programming Production Planning with Setups Carry-Over by Search Algorithms
碩士 === 國立清華大學 === 工業工程與工程管理學系 === 88 === Lot-sizing models usually divide time horizon into several planning periods and assume setups cannot be carried over. However, carry-over setups are obvious in most manufacturing environment. In order to make lot-sizing problem more appropriate, we consider c...
Main Authors: | Gen-Han Wu, 吳政翰 |
---|---|
Other Authors: | Yi-Feng Hung |
Format: | Others |
Language: | zh-TW |
Published: |
2000
|
Online Access: | http://ndltd.ncl.edu.tw/handle/15950453199999873750 |
Similar Items
-
Solving Mixed Integer Programming Production Planning with Setup Heuristically by Genetic Algorithm and Shadow Prices Information
by: Shih, Chia-Chung, et al.
Published: (1998) -
Parallel algorithms for solving mixed integer linear programs
by: Nwana, Vincent Lebga
Published: (2001) -
Solving Production Planning Problems with Setups by Enhanced Tabu Search Algorithms
by: Ming-Hsiau Hung, et al.
Published: (2003) -
Solve Integer Programming Problem of Production Planning by Price Heuristic Algorithm
by: Yi Cheng Hu, et al.
Published: (1995) -
MIPCL LIBRARY FOR SOLVING MIXED INTEGER PROGRAMMING PROBLEMS
by: N. N. Pisaruk
Published: (2016-09-01)