Fuzzy Material Requirements Planning
-
3349
Downloads
-
5248
Views
Authors
Hamid Reza Feili
- Assistant Professor, Industrial Engineering, Alzahra University
Mahzad Shakeri Moghaddam
- B.S., Industrial Engineering, Alzahra University
Rezvan Zahmatkesh
- B.S., Industrial Engineering, Alzahra University
Abstract
Various modeling techniques based on possibility distribution function has been applied successfully in a wide range of issues related to production planning. However, the possibility distribution function derived from the records recorded in the organization are not always available or changes in production environment may cause a variety of changes and volatilities in model and make it unreliable; changes such as: market demand, changes in types of production costs, capacity, resources, and administrative constraints. In this study fuzzy sets theory has been combined with material requirements planning (MRP). It is noteworthy that material requirements planning (MRP) is one of the most commonly used subdivision of production planning that combining it with fuzzy theory can be applied to develop decision making systems and make them more efficient. In addition, the uncertainties of industrial environments can be exerted properly into the production decision-making.
Share and Cite
ISRP Style
Hamid Reza Feili, Mahzad Shakeri Moghaddam, Rezvan Zahmatkesh, Fuzzy Material Requirements Planning, Journal of Mathematics and Computer Science, 1 (2010), no. 4, 333--338
AMA Style
Feili Hamid Reza, Shakeri Moghaddam Mahzad, Zahmatkesh Rezvan, Fuzzy Material Requirements Planning. J Math Comput SCI-JM. (2010); 1(4):333--338
Chicago/Turabian Style
Feili, Hamid Reza, Shakeri Moghaddam, Mahzad, Zahmatkesh, Rezvan. "Fuzzy Material Requirements Planning." Journal of Mathematics and Computer Science, 1, no. 4 (2010): 333--338
Keywords
- Production Planning
- Material Requirements Planning
- Uncertainty
- Fuzzy
MSC
References
-
[1]
R. E. Bellman, L. A. Zadeh, Decision making in a fuzzy environment, Management Sci., 17 (1970), 141--164
-
[2]
D. Dubois, H. Fargier, P. Fortemps, Fuzzy scheduling: modelling flexible constraints vs. coping with incomplete knowledge, European J. Oper. Res., 147 (2003), 231--252
-
[3]
D. Dubois, H. Prade, Fuzzy Sets and Systems: Theory and Applications, Academic Press, New York-London (1980)
-
[4]
L. F. Escudero, P. V. Kamesam, A. J. King, R. J. B. Wets, Production planning via scenario modelling, Ann. Oper. Res., 43 (1993), 311--335
-
[5]
H. Gfrerer, G. Zäpfel, Hierarchical model for production planning in the case of uncertain demand, European J. Oper. Res., 86 (1995), 142--161
-
[6]
A. Gupta, C. D. Maranas, Managing demand uncertainty in supply chain planning, Comput. Chemical Eng., 27 (2003), 1216--1227
-
[7]
M. Inuiguchi, M. Sakawa, Y. Kume, The usefulness of possibilistic programming in production planning problems, Int. J. Prod. Econ., 33 (1994), 45--52
-
[8]
D. Kira, M. Kusy, I. Rakita, A stochastic linear programming approach to hierarchical production planning, J. Oper. Res. Soc., 48 (1997), 207--211
-
[9]
J. Mula, R. Poler, J. P. García-Sabater, F. C. Lario, Models for production planning under uncertainty: a review, Int. J. Prod. Econ., 103 (2006), 271--285
-
[10]
D. Paraskevopoulos, E. Karakitsos, B. Rustem, Robust capacity planning under uncertainty, Management Sci., 37 (1991), 787--800
-
[11]
S. B. Perkov, C. D. Maranas, Multiperiod planning and scheduling of multiproduct batch plants under demand uncertainty, Industrial Eng. Chem. Res., 36 (1997), 48--64
-
[12]
M. S. Sodhi, Managing demand risk in tactical supply chain planning for a global consumer electronics company, Production Oper. Management, 14 (2005), 69--79
-
[13]
D. C. Whybark, J. G. Williams, Material requirements planning under uncertainty, Int. J. Prod. Res., 7 (1976), 595--606
-
[14]
H. J. Zimmermann, Fuzzy Set Theory and its Applications (Third ed.), Kluwer Academic Publishers, Dordrecht (1996)
-
[15]
K. Van Donselaar, J. Van Den Nieuwenhof, J. Visschers, The impact of material coordination concepts on planning stability in supply chains, Int. J. Prod. Econ., 68 (2000), 169--176
-
[16]
H. Shavandi, Fuzzy Sets Theory and its Application in Industrial Engineering and Management, Gostaresh Danesh (in Persian), Iran (2006)