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Multi Criteria Decision Making by Fuzzy Logic Approach for JSP Problem

R. Ramkumar, Dr.A. Tamilarasi

Abstract


The recent advancement in the modern industrial manufacturing system invariably facing lot of problems in many aspects such as machining time, raw material, man power, electricity, and order preference assigned by the customers. Such a complex problem of vagueness and uncertainty can be handled by the theory of fuzzy logic (soft Computing) methodology using a membership function is used to solve a fuzzy mix product selection and we are using the amalgamation of fuzzy job shop scheduling approach to find Profits and higher value of satisfaction over the customer levels have been computed using a fuzzy-Job shop scheduling approach.

Keywords


Fuzzy Logic, Job Shop Scheduling, Production Planning, Multi Criteria Decision making, Processing Time

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References


Jürgen Sauer, Gerd Suelmann , Hans-Jürgen Appelrath, ”Multi-site scheduling with fuzzy concepts“, International Journal of Approximate Reasoning, Volume 19, Issues 1-2, Pages 145-160 , July-August 1998.

D.W.Sellers., "A survey of approaches to the job shop scheduling problem," ssst, pp.396, 28th Southeastern Symposium on System Theory (SSST '96), 1996.

B.Uning., T.H.Liong., B.S.P.Abednego., Y.Y.Nazaruddin.,” Hierarchical Fuzzy Competition Algorithm for Complex Job Shops Scheduling” , pp.1, International Conference on Engineering of Intelligent Systems, Sep,2006.

Guohua Wan Yen, P.-C.,” A Fuzzy Logic System for Dynamic Job Shop Scheduling”, smc, Vol.4, pp.546-551, International Conference on Systems, Man, and Cybernetics, 1999 (SMC’99), Oct, 1999.

E.B.Nababan., M.S.Zakaria., A.R.Hamdan. S. Abdullah., ”Optimization of Dynamic Practical Job Shop Scheduling in Manufacturing”, Proceeding of the International Conference on Electrical Engineering and Informatics, pp. 17-19, June,2007, Institut Teknologi Bandung, Indonesia.

Timothy.J.Ross , “Fuzzy Logic With Engineering Applications”, John Wiley.

K.Mertins, R.Albrecht, U.Wegener, F.Duttenhofer., “ Set-up scheduling by fuzzy logic”, Proceedings of the Fourth International Conference on Computer Integrated Manufacturing and Automation Technology, 1994., pp.345-350, Oct, 1994,

M.R.Garey., D.S.Johnson., “Computers and Intractability, A Guide to the Theory of NP Completeness”, W.H.Freeman and Company, 1979.

Asumuliardi Muluk., Hasan Akpolat., Jichao Xu., “Scheduling Problems – An Overview”, International Journal of Systems Science and Systems Engineering, vol 12, pp.481-492, Dec 2003.

V.Lowndes., J.M.Carter., M.H.WU., S.Berry “Fuzzy Modelling Applied To Jobshop Scheduling”, pp.1-6.

Sun Zhijun, Zhu Jianying. “Intelligent optimization for job shop scheduling of dual-resources”. Journal of Southeast University (Natural Science Edition), Vol 35, 2005,pp. 376-381, doi: 10.3321/j.issn:1001-0505.2005.03.012.

Gargeyal V B, Deane R H. “Scheduling Research in Multiple Resource Constrained Job Shop, A Review and Critique”. International Journal of Production Research, Vol 34, 1996, pp.2077-2097, 10.1080/00207549608905015.

Dake Sun,Rajan Batta,Li lin. “Effective job shop scheduling through active chain manipulation”. Computers & Operations Research, Vol 22,1995,pp.159-172, 10.1016/0305-0548(94)E0018-3.

Liu ZhiGang, Li Yan,Li Shujuan. “Multi-resource constrained jobshop optimization scheduling based on ant colony algorithm”.Journal of System Simulation, Vol 19, 2007, pp. 216-200, CNKI:ISSN: 1004-731X.0.2007-01-057.

ElMaraghy H,Patel V,Abdallah I B. “Scheduling of manufacturing systems under dual-resource constraints using genetic algorithms”. Journal of Manufacturing Systems, Vol 19, 2000, pp. 194-195, 10.1016/S0278-6125(00)80011-4.


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