Diagnostic test decision for suppliers in cruise-building supply chain with information asymmetry |
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| Affiliation: | 1. College of Information Engineering, Shanghai Maritime University, Shanghai, 201306, China;2. EECS, University of Central Florida, Orlando, FL 32816, United States;1. Tianjin University, China;2. Shanghai Maritime University, China;3. Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, China;4. University of Rochester, USA;5. Wake Forest University, USA;1. Department of Ophthalmology, Shanghai First People''s Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200080, People''s Republic of China;2. Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai First People''s Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200080, People''s Republic of China;3. The Key Laboratory of Stem Cell Biology, Institute of Health Sciences, Shanghai Jiao Tong University School of Medicine (SJTUSM) and Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai 200025, People''s Republic of China;4. State Key Laboratory of Biotherapy, Sichuan University, Chengdu 610041, People''s Republic of China;5. College of Information Engineering, Shanghai Maritime University, Shanghai 201306, People''s Republic of China;1. State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China;2. CAS Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Sciences, Shanghai 200031, China;3. LSEC and Institute of Applied Mathematics, AMSS, Chinese Academy of Sciences, Beijing 100190, China |
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| Abstract: | To solve the potential supply disruption in cruise-building supply chain, this study explores a supply system consisting of a monopoly supplier, a new entrant supplier, and a cruise-building manufacturer. A two-step option contract including diagnostic test and process improvement is designed to solve the order quantity allocation and to avoid supply disruption. The analysis combines the decision tree with the principal-agent model under information asymmetry. The result shows that the cruise-building manufacturer would like to allocate more orders to the unreliable supplier who implements process improvement. In the end, the detailed numerical analysis is implemented to justify the proposal. |
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| Keywords: | Information acquisition Order quantity allocation Diagnostic test Uncertain reliability |
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