Design of supply chain in fuzzy environment

Subject Areas : Mathematical Optimization

Kandukuri Narayana Rao ¹ , Kambagowni Venkata Subbaiah ² , Ganja Veera Pratap Singh ³

1 - Department of Mechanical Engineering, Govt. Polytechnic, Visakhapatnam, 530008, India
2 - Department of Mechanical Engineering, Andhra University, Visakhapatnam, 530003, India
3 - Department of Mechanical Engineering, GITAM University, Visakhapatnam, 530045, India

Received: 2020-10-02 Accepted : 2020-10-02 Published : 2013-12-01

Keywords: Supply Chain, Fuzzy Goal Programming, Performance vector, Continuous review policy, Strategic level, Tactical level,

Abstract :

Nowadays, customer expectations are increasing and organizations are prone to operate in an uncertain environment. Under this uncertain environment, the ultimate success of the firm depends on its ability to integrate business processes among supply chain partners. Supply chain management emphasizes cross-functional links to improve the competitive strategy of organizations. Now, companies are moving from decoupled decision processes towards more integrated design and control of their components to achieve the strategic fit. In this paper, a new approach is developed to design a multi-echelon, multi-facility, and multi-product supply chain in fuzzy environment. In fuzzy environment, mixed integer programming problem is formulated through fuzzy goal programming in strategic level with supply chain cost and volume flexibility as fuzzy goals. These fuzzy goals are aggregated using minimum operator. In tactical level, continuous review policy for controlling raw material inventories in supplier echelon and controlling finished product inventories in plant as well as distribution center echelon is considered as fuzzy goals. A non-linear programming model is formulated through fuzzy goal programming using minimum operator in the tactical level. The proposed approach is illustrated with a numerical example.