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Intelligent contingent multi-sourcing model for resilient supply networks
- Seok, Hyesung;
- Kim, Kyungdoh;
- Nof, Shimon Y.
WEB OF SCIENCE
13SCOPUS
16초록
As the complexity and uncertainty of supply networks (SNs) increase, strategic management for resilient SNs becomes significant. An intelligent contingency plan, rather than a direct and constant back-up plan, is more suitable for flexible and effective management. In this research, we introduce a unique contingent multi-sourcing decision protocol for effective response when disruptions occur. It is called the Intelligent Contingent Sourcing (ICS) protocol. Unlike previous research, which has mostly considered the constant multi-sourcing(1) among internal suppliers, our model is developed for contingent multi-sourcing by collaboration with external suppliers. (When both the supplier and buyer are managed controlled by the same company, that supplier is considered an internal supplier; in case each supplier is independent in terms of buyers and is self-interested, such supplier is considered an external supplier). Such contingent multi-sourcing requires the theoretical analysis of each participant's economic aspect, because each external supplier is independent and thus self-interested. The ICS protocol forms a contingent collaborative coalition based on a distributed decision making process. To evaluate the performance of the ICS protocol, three sourcing models are compared: (1) Single sourcing, (2) Constant multi-sourcing, and (3) Contingent multi-sourcing by the ICS protocol. Statistical analysis reveals that, with statistical significance, the ICS protocol performs at least equal to or better than single sourcing, in terms of less lost sales and less total costs; ICS protocol also outperforms constant multi-sourcing under specific conditions (stated in the article). (C) 2016 Elsevier Ltd. All rights reserved.
키워드
- 제목
- Intelligent contingent multi-sourcing model for resilient supply networks
- 저자
- Seok, Hyesung; Kim, Kyungdoh; Nof, Shimon Y.
- 발행일
- 2016-06-01
- 유형
- Article
- 권
- 51
- 페이지
- 107 ~ 119