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Multi Attribute Decision Making Approach to Optimize the Product Mix in Assignment Problems using Fuzzy Group Parameters
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 26 - Number 11 |
| Year of Publication: 2011 |
| Authors: B. Chellappa, S.V. Manemaran |
10.5120/3165-3999
|
B. Chellappa, S.V. Manemaran . Multi Attribute Decision Making Approach to Optimize the Product Mix in Assignment Problems using Fuzzy Group Parameters. International Journal of Computer Applications. 26, 11 ( July 2011), 1-6. DOI=10.5120/3165-3999
Abstract
Inventory models in which the demand rates on the inventory level are based on the common real life observation that greater product availability tends to stimulate more sales. Theory of constraints (TOC) is a production planning philosophy that tries to improve the throughput of the system management of inventory levels. Due to the existing of inventory levels in a production system the demands of all products can not be fully met. So one of the most important decisions made in production systems is product mix problem. Although many algorithms have been developed in the fields using the concept of theory of constraints. This paper benefits from a variety of advantages. In order to consider the importance of all inventory levels, group decision making approach is applied and the optimal product mix is reached. In the algorithm presented in this paper, each inventory level is considered as a decision maker. The new algorithm benefits from the concept of fuzzy group decision making and optimizes the product mix problem in inventory environment where all parameters are fuzzy values.
References
- Aryanezhad.M.B and Rashidi Komijan.A (2004) “An improved Algorithm for optimizing product mix under the theory of constraints”, International journal of production Research, 42, 4221-4233.
- Chen. S.J.and Hwang, C.L (1992) Fuzzy multiple Attribute Decision making, Springer-verlog.
- Fredendall, L.D and Lea, B.R (117) “Improving the product mix Heuristic in the of constrains”, International journal of production research, 35, 1535-1544.
- Goldratt.E.M (1984) The Goal, Newyork, North River press.
- Hwang, C.L and Lin M.J (1987) , Group decision making under multiple criteria, Springer-verlag.
- Lee.T.N. and Plenert, G(1993) ‘Optimizing theory of constraints when new product Alternatives Exist’ Production and inventory management Journal, 34, 51-57.
- Luebbe. And Finch. B (1992) ‘Theory of constraints and linear programming ‘A comparison International journal of production Research 30, 1471-1478.
- Patterson, M.C(1992) ‘The product mix decision’ A comparison of theory of constraints and Labor – Based management Accounting’ prod and Inventory management journal 33, 80-85.
- Rashidi Komijan. A and Sadjadi, S.J (2005) ‘Optimizing product mix in a multi – bottleneck Environment proceeding of International conference on computational science and its applications, suntec, Singapore, 388-396.
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