Application of simulated annealing to solve multi-objectives for aggregate production planning
Aggregate production planning (APP) is one of the most significant and complicated problems in production planning and aim to set overall production levels for each product category to meet fluctuating or uncertain demand in future and to set decision concerning hiring, firing, overtime, subcontract...
保存先:
主要な著者: | Kalaf, Bayda Atiya, Bakheet, Abdul Jabbar Khudhur, Abbas, Iraq Tereq, Abu Bakar, Mohd Rizam, Lee, Lai Soon, Monsi, Mansor |
---|---|
フォーマット: | Conference or Workshop Item |
言語: | English |
出版事項: |
AIP Publishing
2016
|
オンライン・アクセス: | http://psasir.upm.edu.my/id/eprint/57308/1/Application%20of%20simulated%20annealing%20to%20solve%20multi-objectives%20for%20aggregate%20production%20planning.pdf http://psasir.upm.edu.my/id/eprint/57308/ |
タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
類似資料
-
A modified fuzzy multi-objective linear programming to solve aggregate production planning
著者:: Kalaf, Bayda, 等
出版事項: (2015) -
Enhanced simulated annealing for solving aggregate production planning
著者:: Abu Bakar, Mohd Rizam, 等
出版事項: (2016) -
Hybrid meta-heuristic algorithm for solving multi-objective aggregate production planning in fuzzy environment
著者:: Kalaf, Kalaf, Bayda Atiya
出版事項: (2017) -
The role of dynamic programming in the distribution of investment allocations between production lines with an application
著者:: Abdul-Zahra, Inam, 等
出版事項: (2016) -
Gravitational search – bat algorithm for solving single and bi-objective of non-linear functions
著者:: Abbas, Iraq Tareq
出版事項: (2018)