Dispatching Rule Evaluation in Flexible Manufacturing Systems by a New Fuzzy Decision Model with Possibilistic-Statistical Uncertainties

Author:

Foroozesh N.,Tavakkoli-Moghaddam R.,Mousavi S. M.,Vahdani B.

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference42 articles.

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2. Tavakkoli-Moghaddam, R.; Heydar, M.; Mousavi, S.M.: A hybrid genetic algorithm for a bi-objective scheduling problem in a flexible manufacturing cell. Int. J. Eng. Trans. A Basics 23(3&4), 235–252 (2010)

3. Jahromi, M.H.; Tavakkoli-Moghaddam, R.; Makui, A.; Saghaee, A.: A modified genetic algorithm for solving machine-tool selection and operation allocation problem in an FMS. J. UMP Soc. Sci. Technol. Manag. 3(1), 491–499 (2015)

4. Groover, M.P.: Automation: Production Systems and Computer-Integrated Manufacturing. Prentice Hall, US (2001). ISBN: 978-0132393218

5. El-Bouri, A.; Shah, P.: A neural network for dispatching rule selection in a job shop. Int. J. Adv. Manuf. Technol. 31(3–4), 342–349 (2006)

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