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The Supply Chain Configuration For New Products Under Disruption Risks

Posted on:2015-01-03Degree:MasterType:Thesis
Country:ChinaCandidate:Y N HouFull Text:PDF
GTID:2309330461483862Subject:Probability theory and mathematical statistics
Abstract/Summary:PDF Full Text Request
Mass production of a single product already can’t adapt to the increasingly competition in the business environment. How to reasonably and effectively take advantage of their own resources and other company’s resources to maximize their benefits is the pursuit of the modern enterprise. Combining with the core values of each company, complementary advantage, information resources sharing can form a lowest cost and highest technology supply chain. With the supply chain we can reduce the cost effectively and enhance the competitiveness of the enterprises.In the past research of supply chain management, most concentrate on supplier selection and coordination mechanism, distribution network design, transport route design, inventory management, supply contract design, outsourcing and procurement strategy, production network design etc., which in the certain environment. These methods have been difficult to adapt to the increasingly complex business environment. Therefore, more and more researchers begin to pay close attention to the supply chain management under the uncertainty environment, and have achieved amazing results. On the basis of existing achievements, this paper studies the supply chain configuration for new products under disruption risks.In this paper, based on the configuration model of supply chain for new product, in which using the probability and statistics knowledge, the supplier with risks selection problem is studied. We establish the mathematical model of supplier selection in supply chain under disruption risks. Not only do we provide a decision support tool that managers can use during the product development process, but also alleviate the risk of disruptions and reduce the huge loses effectively.Finally, using value-at-risk and conditional value-at-risk to control the risk of disruptions, we can obtain the results by using the computer optimization software to calculate and analyze the model.
Keywords/Search Tags:supply chain configuration, supplier selection, disruption risks, penalty cost, VaR(Value-at-risk), CVaR(Conditional Value-at-risk)
PDF Full Text Request
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