A New Fuzzy TOPSIS-Based Machine Learning Framework for Minimizing Completion Time in Supply Chains

Author:

Alazemi Fahad Kh A O H,Ariffin Mohd Khairol Anuar Bin Mohd,Mustapha Faizal Bin,Supeni Eris Elianddy Bin

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Reference63 articles.

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2. Kumar, P.S., Hussain, R.J.: A method for finding an optimal solution of an assignment problem under mixed intuitionistic fuzzy environment. In: Proceedings in International Conference on Mathematical Sciences (ICMS-2014) (2014).

3. Xu, R., et al.: Two kinds of ant colony algorithms to minimize the total completion time for batch scheduling problem. Comput. Integr. Manuf. Syst. 16(6), 1255–1264 (2010)

4. Irdem, D.F., Kacar, N.B., Uzsoy, R.: An exploratory analysis of two iterative linear programming—simulation approaches for production planning. IEEE Trans. Semicond. Manuf. 23(3), 442–455 (2010)

5. Ramezanian, R., Rahmani, D., Barzinpour, F.: An aggregate production planning model for two phase production systems: Solving with genetic algorithm and tabu search. Expert Syst. Appl. 39(1), 1256–1263 (2012)

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