Emergency Logistics Collaboration and Resources Location-allocation for Disaster Management
Date Issued
2015
Date
2015
Author(s)
Pan, Cheng
Abstract
No programming model developed by study has been found to incorporate the concept of supply chain collaboration into emergency logistics although supply chain collaboration has been proved to be is essential in assisting in the achievement of joint goals of supply chain members. Particularly, the potential application and advantages of collaboration in the emergency logistics management have never been discussed and investigated in the previous literature. This is also the major motivation to address such a dissertation in which this study intends to comprehensively and systematically discuss the three research issues of emergency logistics applying the concept of collaboration. Three research issues are relief supplier selection and distribution (RSSD), emergency supply network design (ESND), and self-organized emergency response (SOER). The proposed methods for these three research issues are as follows: (1) This study proposes a relief supply collaboration approach for RSSD. This proposed approach involves two functions: (a) a two-stage relief supplier clustering mechanism for time-varying multi-source relief supplier selection, and (b) the use of stochastic programming model to determine a multi-source relief supply that minimizes the impact of relief supply–demand imbalance during response phase. The distinctive features of this proposed approach are to identify the potential relief suppliers and to minimize the imbalanced supply–demand impact under relief supply collaboration. Model tests are conducted to demonstrate that relief supply collaboration with grouped relief suppliers has a significant benefit of alleviating the impact of imbalanced relief supply–demand, relative to collaboration with ungrouped ones. (2) This study proposes a method for designing a seamless centralized emergency supply network by integrating three sub-networks (shelter network, medical network, and distribution network) for ESND in the aftermath of a disaster. The proposed method primarily involves three stage multi-objective (travel distance minimization, operational cost minimization, and psychological cost minimization), mixed-integer linear programming models. The three sub-networks are designed using the proposed programming models. The distinctive features of the proposed method are as follows: (a) the proposed method is demand-driven. The order of the designed sub-networks is shelter, medical, and distribution, with the connections of the latter networks based on the arrangements for the former; (b) the objective functions of three stage programming models include not only traditional objectives (i.e., travel distance minimization and operational cost minimization), which supply-side members focus on, but also minimizing the psychological cost experienced by demand-side members. Model tests are conducted to demonstrate that the superiority of a centralized emergency supply network designed by the proposed method over a decentralized one, especially with regard to distribution network design. (3) Emergency response out sourcing external logistics resources dominated by decision making units outside affected areas (e.g., central government and international NGOs with logistics divisions) has been investigated widely in recent literature. However, research that focuses on self-organization and mobilization of internal logistics resources inside affected areas is scarce. This study proposes a self-organized emergency logistics resource mobilization system (SELRMS) which permits mobilizing and integrating logistics resources inside an affected area for SOER during the emergency response period. The resource-integration problem of the proposed SELRMS is formulated using a multi-objective linear programming model, which takes into account not only traditional objectives (i.e., survival maximization and undersupply cost minimization), but also demand-oriented objectives (i.e., corpse exposure risk minimization and psychological cost minimization). To demonstrate the applicability and advantages of the proposed system, numerical analysis aiming at a real disaster case is conducted. Analytical result demonstrates that the extension system (i.e., thee system with relief worker reallocation function) facilitates efficient assignment of relief workers and improves objective values rather than basic one (i.e., the system without relief worker reallocation function). Author hopes that this dissertation contributes to related research by developing the methods applicable for alleviating disaster impact in affected areas.
Subjects
Emergency logistics
Relief supplier selection
Emergency supply network
Logistics resource mobilization
Fuzzy clustering, Programming model
Survival psychology
Type
thesis
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