23-02-2014, 20:43
Les dejo el final que tomaron, eran dos párrafos.
Original Research
Design of supply chain in fuzzy environment
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.
Introduction
Globalization itself is a great change in business environment which causes great trend towards global trade and competition. It became important for enterprises to develop long-term strategic relations between suppliers and customers. Also, due to the introduction of new products with shorter life cycles and the heightened expectations of customers, it became a must for business organizations to focus on their supply chains. The supply chain, which is also referred to as the network of suppliers, manufacturing centers, warehouses, distribution centers, and customers as well as logistic information systems connected by an organization's suppliers and customers of its customers.
Original Research
Design of supply chain in fuzzy environment
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.
Introduction
Globalization itself is a great change in business environment which causes great trend towards global trade and competition. It became important for enterprises to develop long-term strategic relations between suppliers and customers. Also, due to the introduction of new products with shorter life cycles and the heightened expectations of customers, it became a must for business organizations to focus on their supply chains. The supply chain, which is also referred to as the network of suppliers, manufacturing centers, warehouses, distribution centers, and customers as well as logistic information systems connected by an organization's suppliers and customers of its customers.