Nowadays, Value –based Supply Chain Management (VbSCM) is considered as a resource of competitive advantages, and companies with a long term strategic plan find the VbSCM as an effective factor in sustainability. In this context, supply chain network design has a significant impact on all value drivers (i.e. sales, supply chain costs, fixed assets and working capital). This paper proposes a stochastic mixed integer linear programming model for the value-based supply chain network design in which decisions on physical flow (raw materials and finished products) and financial flow are integrated. The proposed model is designed for a four-echelon, multi-commodity, multi-period supply chain and maximizes the value of the company based on the economic value-added concept by making some strategic and tactical decisions affecting the value drivers. Furthermore, a scenario-based two-stage stochastic programming model is developed with a scenario generation method based on Nataf transformation. Also, a computational analysis is done to illustrate performance of the proposed approach.
Badri, H., Fatemi Ghomi, S., & Hejazi, T. (2016). A two-stage stochastic programming model for value-based supply chain network design. Scientia Iranica, 23(1), 348-360. doi: 10.24200/sci.2016.3839
MLA
H. Badri; S.M.T. Fatemi Ghomi; T.H. Hejazi. "A two-stage stochastic programming model for value-based supply chain network design". Scientia Iranica, 23, 1, 2016, 348-360. doi: 10.24200/sci.2016.3839
HARVARD
Badri, H., Fatemi Ghomi, S., Hejazi, T. (2016). 'A two-stage stochastic programming model for value-based supply chain network design', Scientia Iranica, 23(1), pp. 348-360. doi: 10.24200/sci.2016.3839
VANCOUVER
Badri, H., Fatemi Ghomi, S., Hejazi, T. A two-stage stochastic programming model for value-based supply chain network design. Scientia Iranica, 2016; 23(1): 348-360. doi: 10.24200/sci.2016.3839
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