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Cites:

Information Journal Paper

Title

New scenario-based model for multi-product multi-level supply chain management with stochastic demand and lead time

Pages

  249-261

Abstract

 In this paper, a new model for managing multi-product multi-level supply chain using predictive control of Scenario-based model is presented which it can handle supply chain with Stochastic programming of the uncertainty, which is caused, by demand and random lead time. In addition, it guarantees a certain level of customer service in the form of horizon with 95% probability. Probabilistic waiting time may lead to lash effect throughout the entire chain And causes shortages at different levels therefore cost of facing shortages is considered in the model. After modeling problem is solved in deterministic and Probabilistic state and to solve larger problems Imperialist competitive algorithm is used. The results indicate that SCMPC is computationally very efficient and offers significant advantage over the robust and stochastic optimization.

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    APA: Copy

    FAKHRZAD, MOHAMMAD BAGHER, HOSSEINI, ZAHRA SADAT, & Hassanpour Rodbaraki, Javad. (2018). New scenario-based model for multi-product multi-level supply chain management with stochastic demand and lead time. ADVANCES IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), 52(2 ), 249-261. SID. https://sid.ir/paper/166431/en

    Vancouver: Copy

    FAKHRZAD MOHAMMAD BAGHER, HOSSEINI ZAHRA SADAT, Hassanpour Rodbaraki Javad. New scenario-based model for multi-product multi-level supply chain management with stochastic demand and lead time. ADVANCES IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING)[Internet]. 2018;52(2 ):249-261. Available from: https://sid.ir/paper/166431/en

    IEEE: Copy

    MOHAMMAD BAGHER FAKHRZAD, ZAHRA SADAT HOSSEINI, and Javad Hassanpour Rodbaraki, “New scenario-based model for multi-product multi-level supply chain management with stochastic demand and lead time,” ADVANCES IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), vol. 52, no. 2 , pp. 249–261, 2018, [Online]. Available: https://sid.ir/paper/166431/en

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