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2018 | OriginalPaper | Chapter

6. Conclusions and Recommendations for Future Work

Author : Son Duy Dao

Published in: Modelling and Intelligent Optimisation of Production Scheduling in VCIM Systems

Publisher: Springer International Publishing

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Abstract

In previous chapters, the literature review, the research gaps, the proposed VCIM production scheduling model and the proposed GA were presented.

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previous chapter Case Study
Literature
Dao, S. D., Abhary, K., & Marian, R. (2014). Optimisation of partner selection and collaborative transportation scheduling in virtual enterprises using GA. Expert Systems with Applications, 41(15), 6701–6717.CrossRef
Fahimnia, B., Luong, L., & Marian, R. (2008). Optimization/simulation modeling of the integrated production-distribution plan: an innovative survey. WSEAS Transactions on Business and Economics, 3(5), 52–65.
He, K., Huang, W., & Jin, Y. (2012). An efficient deterministic heuristic for two-dimensional rectangular packing. Computers & Operations Research, 39(7), 1355–1363.MathSciNetCrossRefMATH
Liu, S., & Avery, M. (2009). Alibaba: the inside story behind Jack Ma and the creation of the world’s biggest online marketplace. New York: HarperCollins e-books.
Marian, R.M., Luong, L. & Dao, S.D. (2012). Hybrid genetic algorithm optimisation of distribution networks—A comparative study, in SI Ao, O Castillo & X Huang (eds), Intelligent Control and Innovative Computing, Springer US, Boston, MA, pp. 109–122.
Shahlaei, M., Sobhani, A. M., Saghaie, L., & Fassihi, A. (2012). Application of an expert system based on Genetic Algorithm-Adaptive Neuro-Fuzzy Inference System (GA–ANFIS) in QSAR of cathepsin K inhibitors. Expert Systems with Applications, 39(6), 6182–6191.CrossRef
Metadata
Title
Conclusions and Recommendations for Future Work
Author
Son Duy Dao
Copyright Year
2018
Book
Modelling and Intelligent Optimisation of Production Scheduling in VCIM Systems

Print ISBN: 978-3-319-72112-5

Electronic ISBN: 978-3-319-72113-2

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-72113-2_6