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A Bi-fuzzy Production-Recycling-Disposal Inventory Problem with Environment Pollution Cost via Genetic Algorithm

by D. K. Jana, K. Maity, T. K. Roy
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 61 - Number 22
Year of Publication: 2013
Authors: D. K. Jana, K. Maity, T. K. Roy
10.5120/10225-4605

D. K. Jana, K. Maity, T. K. Roy . A Bi-fuzzy Production-Recycling-Disposal Inventory Problem with Environment Pollution Cost via Genetic Algorithm. International Journal of Computer Applications. 61, 22 ( January 2013), 1-10. DOI=10.5120/10225-4605

@article{ 10.5120/10225-4605,
author = { D. K. Jana, K. Maity, T. K. Roy },
title = { A Bi-fuzzy Production-Recycling-Disposal Inventory Problem with Environment Pollution Cost via Genetic Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 61 },
number = { 22 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume61/number22/10225-4605/ },
doi = { 10.5120/10225-4605 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:10:16.498594+05:30
%A D. K. Jana
%A K. Maity
%A T. K. Roy
%T A Bi-fuzzy Production-Recycling-Disposal Inventory Problem with Environment Pollution Cost via Genetic Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 61
%N 22
%P 1-10
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper develops a production, recycling-disposal inventory problem over a finite time horizon in fuzzy and bi-fuzzy environments. The production and recycling process are performed in a plant which is located very near to the market. The products of the plant are continuously transfer to the market. Here, the dynamic demand is satisfied by production and recycling. The use units are collected continuously from the customers and then either recycled or disposed. Recycling products can be used as new products which are sold again in the market. The rate of production, recycling and disposal are assumed to be function of time. The setup cost, idle cost and environment pollution recovery cost for productionrecycling system in industry are also included. The optimum results are presented both in tabular form and graphically.

References
  1. Dobos, I. and Richter, K. , (2000). A production / recycling model with quality consideration. International Journal of Production Economics, 104, 571-579.
  2. Giri, B. C. , Yun, W. Y and Dohi, T. , (2005). Optimal design of unreliable productioninventory systems with variable production rate, European Journal of Operational Research, 162: 372 386.
  3. Gold Goldberg,D. , (1989). Genetic Algorithems in Search, Obtimization and Machine Learning, AddisionWealey, MA, USA.
  4. Gottwald, S. , (1979). Set theory for fuzzy sets of higher level. Fuzzy Sets and Systems 2(2), 125-151.
  5. Grzegorzewski, P. , (2002). Nearest interval approximation of a fuzzy number, Fuzzy Sets and Systems 130, 321-330.
  6. Holland, H. J. , (1975). Adaptation in Natural and Artificial Systems, University of Michigan.
  7. Gungor,A. , Gupta,S. M. , (1999). Issues in environmentally conscious manufacturing and product recovery: a survey, Computers & Industrial Engineering, 36, 811-853.
  8. Ilgin,M. A. , Gupta,S. M. , (2010). Environmentally conscious manufacturing and product recovery (ECMPRO): A review of the state of the art. Journal of Environmental Management 91,(3), 563-591.
  9. Liu, Y. , Liu,B. , (2003). A class of fuzzy ramdom optimization: expected value models, Information Science 155, 89- 102.
  10. Liu,B. , Liu,Y. K. , (2002). Expected value of Fuzzy variable and Fuzzy expected value Models, IEEE Transactions of Fuzzy Systems 10(4), 445-450.
  11. Mendel, J. M. , John, R. I. B. , (2002). Type-2 Fuzzy Sets Made Simple. IEEE Transactions on Fuzzy Systems 10(2), 117-127.
  12. Minner, S. and Kleber, R. , (2001). Optimal control of production and remanufacturing in a simple recovery model with linear cost functions, Spektrum, 23: 3-24.
  13. Maiti, M. K. , Maiti,M. , (2007). Determination of withdrawal schedule in single-species cultivation via genetic algorithm. Applied Mathematics and Computation 188(1), 322-331
  14. Maity, A. K. , Maity,K. , Maiti,M. , (2008). A productionrecycling- inventory system with imprecise holding costs, Applied Mathematical Modelling 32, 2241-2253.
  15. Maity, A. K. , Maity,K. , Mondal. S. , Maiti,M. , (2009). A Production-recycling-inventory model with learning effect, Optimization and Engineering 10, 427-437.
  16. Maity,K. , Maiti,M. , (2005). Numerical approach of multiobjective optimal control problem in imprecise environment, Fuzzy Optimization and Decision Making, Netherland, 4(4), 313-330.
  17. Mendel, J. M. ,(1999). Computing with words when words can mean different things to different people. Presented at Internat. ICSC Congress on Computational Intelligence: Methods, Applications, 3rd Annual Symp. on Fuzzy Logic and Applications, Rochester, New York, 22-25
  18. Zadeh, L. A. :(1975) The concept of a linguistic variable and its application to approximate reasoning, Information Sci. 8, 199-249.
  19. Taleizadeh, A. , Niaki S. , Seyedjavadi, S M. H. ,(2012) Multi-product multi-chance-constraint stochastic inventory control problem with dynamic demand and partial backordering: A harmony search algorithm, Journal of Manufacturing Systems, 31(2) 204-213.
  20. Marusak, Marusak,P. M. , Tatjewski, P. , (2009). Effective dualmode fuzzy dmc algorithmswith online quadratic optimization and guaranteed stability, Int. J. Appl. Math. Comput. Sci. , Vol. 19, No. 1, 127-141.
  21. Xu, J. , Zhou,X. , (2009). Fuzzy Link Multiple-Objective Decision Making, Springer- Verlag, Berlin.
  22. Zadeh,L. , (1965). Fuzzy sets, Information and Control. 8, 338-353.
  23. Zadeh, L. ,(1971). Quantitative fuzzy semantics. Information Sciences 3(2),177-200.
  24. Zhang, H. C. , Kuo, T. C. , Lu, H. , (1997). Environmentally conscious design and manufacturing: A state-of-the-art survey, Journal of Manufacturing, 16, 352-371.
Index Terms

Computer Science
Information Sciences

Keywords

Production Recycling-Disposal Idle cost Environment pollution cost Bi-fuzzyifx