207
Views
14
CrossRef citations to date
0
Altmetric
Articles

Optimal resource allocation for hybrid flow shop in one-of-a-kind production

, , , &
Pages 146-154 | Received 19 Mar 2009, Accepted 27 Oct 2009, Published online: 22 Jan 2010

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (8)

Guodong Huang, Jie Chen, Xiuli Wang, Yiqun Shi & Houping Tian. (2017) From loop structure to policy-making: a CONWIP design framework for hybrid flow shop control in one-of-a-kind production environment. International Journal of Production Research 55:12, pages 3374-3391.
Read now
Ying Mei, Zhigang Zeng, Ding Feng & Yiliu (Paul) Tu. (2016) A method for man hour optimisation and workforce allocation problem with discrete and non-numerical constraints in large-scale one-of-a-kind production. International Journal of Production Research 54:3, pages 864-877.
Read now
G. Michalos, S. Makris & G. Chryssolouris. (2015) The new assembly system paradigm. International Journal of Computer Integrated Manufacturing 28:12, pages 1252-1261.
Read now
Xinle Liang, Huaping Chen & Rui Xu. (2015) Approximately optimal algorithms for scheduling a single machine with general convex resource functions. International Journal of Computer Integrated Manufacturing 28:9, pages 920-935.
Read now
Sheng-yao Wang, Ling Wang, Min Liu & Ye Xu. (2015) An order-based estimation of distribution algorithm for stochastic hybrid flow-shop scheduling problem. International Journal of Computer Integrated Manufacturing 28:3, pages 307-320.
Read now
M.E. Tayebi Araghi, F. Jolai & M. Rabiee. (2014) Incorporating learning effect and deterioration for solving a SDST flexible job-shop scheduling problem with a hybrid meta-heuristic approach. International Journal of Computer Integrated Manufacturing 27:8, pages 733-746.
Read now
Wenbin Hu, Zhenyu Min & Bo Du. (2014) A novel algorithm based on the unified neutral theory of biodiversity and biogeography model for block allocation of outbound container. International Journal of Computer Integrated Manufacturing 27:6, pages 529-546.
Read now
R. Shafaei, M. Rabiee & M. Mirzaeyan. (2011) An adaptive neuro fuzzy inference system for makespan estimation in multiprocessor no-wait two stage flow shop. International Journal of Computer Integrated Manufacturing 24:10, pages 888-899.
Read now

Articles from other publishers (6)

Teng Wang, Xiaofeng Hu & Yahui Zhang. (2023) A DRL based approach for adaptive scheduling of one-of-a-kind production. Computers & Operations Research 158, pages 106306.
Crossref
George Chryssolouris, Kosmas Alexopoulos & Zoi ArkouliGeorge Chryssolouris, Kosmas Alexopoulos & Zoi Arkouli. 2023. A Perspective on Artificial Intelligence in Manufacturing. A Perspective on Artificial Intelligence in Manufacturing 79 135 .
Guodong Huang, Jie Chen & Yacob Khojasteh. (2020) A cyber-physical system deployment based on pull strategies for one-of-a-kind production with limited resources. Journal of Intelligent Manufacturing 32:2, pages 579-596.
Crossref
Xinle Liang, Shengchao Zhou, Huaping Chen & Rui Xu. (2019) Pseudo transformation mechanism between resource allocation and bin-packing in batching environments. Future Generation Computer Systems 95, pages 79-88.
Crossref
Ying Mei, Jiawei Ye & Zhigang Zeng. (2016) Entropy-weighted ANP fuzzy comprehensive evaluation of interim product production schemes in one-of-a-kind production. Computers & Industrial Engineering 100, pages 144-152.
Crossref
Paolo Renna. (2012) Controllable processing time policies for job shop manufacturing system. The International Journal of Advanced Manufacturing Technology 67:9-12, pages 2127-2136.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.