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- W2740858051 abstract "Agile supply chain has proved its efficiency and capability in dealing with the disturbances and turbulences of today’s competitive markets. This paper copes with the strategic and tactical level decisions in agile supply chain network design (SCND) under interval data uncertainty. In this study, an efficient mixed integer linear programming (MILP) model is developed that is able to consider the key characteristics of agile supply chain such as direct shipments, outsourcing, different transportation modes, discount, alliance (process and information integration) among opened facilities and maximum waiting time of customers for deliveries. In addition, in the proposed model capacity of facilities is determined as decision variables which are often assumed to be as an input parameter. Then, the robust counterpart of the presented model according to the recent advances in robust optimization theory is developed to deal with the inherent uncertainty of input parameters. Computational results illustrate that the proposed robust optimization model has high degree of responsiveness in dealing with uncertainty compared with deterministic model. Therefore, the robust model can be applied as a power tool in agile and flexible SCND which faces with different risks in competitive environments." @default.
- W2740858051 created "2017-08-08" @default.
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- W2740858051 date "2014-01-01" @default.
- W2740858051 modified "2023-09-27" @default.
- W2740858051 title "AGILE AND FLEXIBLE SUPPY CHAIN NETWORK DESIGN UNDER UNCERTAINITY" @default.
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