管理工程学报
管理工程學報
관리공정학보
Journal of Industrial Engineering and Engineering Management
2011年
2期
8~13
,共null页
新消费者行为理论 充分收入 供应链应急预案
新消費者行為理論 充分收入 供應鏈應急預案
신소비자행위이론 충분수입 공응련응급예안
the new theory of consumer's Behavior; full income; the contingency plan in supply chain
本文利用应急管理中的分级思想和新消费者行为理论,提出了应急事件下,估计供应链损失的新方法。通过该方法能够比较容易地算出供应链应急损失值,然后把该值与应急预案的阀值进行比较,从而确定供应链应急预案的启动时机。
本文利用應急管理中的分級思想和新消費者行為理論,提齣瞭應急事件下,估計供應鏈損失的新方法。通過該方法能夠比較容易地算齣供應鏈應急損失值,然後把該值與應急預案的閥值進行比較,從而確定供應鏈應急預案的啟動時機。
본문이용응급관리중적분급사상화신소비자행위이론,제출료응급사건하,고계공응련손실적신방법。통과해방법능구비교용역지산출공응련응급손실치,연후파해치여응급예안적벌치진행비교,종이학정공응련응급예안적계동시궤。
Supply chain management(SCM) is susceptible to an increasing number of natural disasters and man-made crises.There is a growing need for companies to formulate contingency plans for their supply chains in order to cope with emergency events.Formulation of contingency plans for SCM requires a cross-disciplinary study of plan management and supply chain disruption.However,the combination of these disciplines is still at its inception stage.We conducted a literature review on emergency plans for SCM and identified two major limitations of the current literature.First,current literature treats emergency events in supply chains as static rather than dynamic events.As a result,few studies classify emergency events as dynamic events and propose ways to manage supply chains in a dynamic manner.Second,the current literature lacks a comprehensive view of the nature of emergency events in supply chains.Quantitative studies on the loss value of supply chains caused by emergency events are still in short supply.This finding indicates that the formulation of contingency plans for SCM is still a scarce practice.This paper proposes an emergency response model for supply chains based on consumer behavior theories.Consumers are a polymer of producers and consumers in the proposed research model.During the occurrence of an emergency event,the model can calculate consumer response time,consumption time and working time spent to cope with emergency events.The calculation allows us to indirectly assess the loss that consumers suffer from emergency events in the supply chain.Having knowledge about the distribution