Evaluating supply chain resilience : renewal theory and Markov chain modeling approaches | |
| Author | Suchera Putthakosa |
| Call Number | AIT Diss. no. ISE-23-04 |
| Subject(s) | Business logistics--Mathematical model Markov Chains Markov processes |
| Note | A Dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Engineering in Industrial and Manufacturing Engineering |
| Publisher | Asian Institute of Technology |
| Abstract | The frequency and severity of supply chain disruptions have escalated significantly. The COVID-19 pandemic is as a clear illustration of the vulnerabilities and prolonged recovery time which are present in the global supply chain. In light of the above, it is necessary to reconstruct and reshape the supply chain to proactively and effectively address unprecedented circumstances by exploring novel approaches. As a result, developing resilience in the supply chain is mandatory to deal with those risks. This research examines a supply chain in which a supplier may experience disruptions, followed by the integration of a manufacturer who bears the adverse consequences of disruption at supplier. The primary objective is to assess the supply chain network’s resilience through sustainability, vulnerability, and recoverability measures. These measures, which can be used to evaluate the system’s resilience, will be derived in both instant and long-term forms. At first, a renewal theory approach is utilized to determine the long-term resilience measures of the system. Then, a continuous-time Markov Chain approach is used to assess instant and long-term resilience measures. The impact of the model’s parameters on resilience measures was also investigated through sensitivity analyses. This study’s findings can help supply chain managers to make decision on which rates of transition between the states of the system needed to be adjusted so as to enhance the sustainability and recoverability of the system while decreasing its vulnerability. |
| Year | 2023 |
| Type | Dissertation |
| School | School of Engineering and Technology |
| Department | Department of Industrial Systems Engineering (DISE) |
| Academic Program/FoS | Industrial and Manufacturing Engineering (IME) |
| Chairperson(s) | Huynh, Trung Luong |
| Examination Committee(s) | Mongkol Ekpanyapong;Loc, Thai Nguyen |
| Scholarship Donor(s) | His Majesty the King’s Scholarships |
| Degree | Thesis (Ph. D.) - Asian Institute of Technology, 2023 |