Supplier selection under disaster uncertainty with joint procurement

Master of ScienceDepartment of Industrial & Manufacturing Systems EngineeringJessica L. Heier StammHealth care organizations must have enough supplies and equipment on hand to adequately respond to events such as terrorist attacks, infectious disease outbreaks, and natural disasters. This is achieved through a robust supply chain system. Nationwide, states are assessing their current supply chains to identify gaps that may present issues during disaster preparedness and response. During an assessment of the Kansas health care supply chain, a number of vulnerabilities were identified, one of which being supplier consolidation. Through mergers and acquisitions, the number of suppliers within the health care field has been decreasing over the years. This can pose problems during disaster response when there is a surge in demand and multiple organizations are relying on the same suppliers to provide equipment and supplies. This thesis explores the potential for joint procurement agreements to encourage supplier diversity by splitting purchasing among multiple suppliers. In joint procurement, two or more customers combine their purchases into one large order so that they can receive quantity discounts from a supplier. This research makes three important contributions to supplier selection under disaster uncertainty. The first of these is the development of a scenario-based supplier selection model under uncertainty with joint procurement. This optimization model can be used to observe customer purchasing decisions in various scenarios while considering the probability of disaster occurrence. Second, the model is applied to a set of experiments to analyze the results when supplier diversity is increased and when joint procurement is introduced. This leads to the third and final contribution: a set of recommendations for health care organization decision makers regarding ways to increase supplier diversity and decrease the risk of disruption associated with disaster occurrence

The impact of Mean Time Between Disasters on inventory pre-positioning strategy

Purpose - This paper addresses the impact of Mean Time Between Disasters (MTBD) to inventory pre-positioning strategy of medical supplies prior to a sudden-onset disaster

Operational Strategies for Establishing Disaster-Resilient Schools: A Qualitative Study

Introduction: Resilient schools can warranty students’ health and survival at disasters. It is obligatory that schools be prepared for natural challenges through local programs. Considering the great population of students, disaster-resilient schools can be a safe and suitable environment for students at the time of disaster. Objective: This study aims to identify certain operational strategies for establishing schools resilient to natural disasters. Method: This qualitative study was based on conventional content analysis. Using purposive sampling method, 24 experts in the fields of health in disasters, construction engineering, psychology, teaching, and administrative management participated in the study. Maximum variation sampling continued until data saturation was achieved. The data collected via unstructured interviews were analyzed with Graneheim and Lundmen’s conventional content analysis. Results: Content analysis resulted in four main categories as operational strategies for establishing disaster-resilient schools including: 1) “construction and non-construction optimization”, with four subcategories of construct risk management, optimization of construct architecture and physical structure, correct construct localization, and promotion of non-construct safety, 2) “promotion of organizational coordination and interactions” with two subcategories, namely improvement  in intra-organizational communication and improvement  in extra-organizational communication, 3) “improvement  in education” with three subcategories of holding educational courses for families and students, holding educational courses for managers and personnel, and holding simulated exercises, and 4) “process promotion” with four subcategories of increased preparedness, correct planning, creation of organizational structure, and rehabilitation facilitation. Conclusion: Various factors affecting schools’ response to disasters form operational strategies to establish disaster-resilient schools. These strategies influence pre- and post-disaster preparedness. Awareness of these components followed by preparedness prior to disasters can save students’ lives, improve school performance after disasters, and aid in establishing disaster-resilient schools as safe lodgings

Operational Strategies for Establishing Disaster-Resilient Schools: A Qualitative Study

Introduction: Resilient schools can warranty students’ health and survival at disasters. It is obligatory that schools be prepared for natural challenges through local programs. Considering the great population of students, disaster-resilient schools can be a safe and suitable environment for students at the time of disaster. Objective: This study aims to identify certain operational strategies for establishing schools resilient to natural disasters. Method: This qualitative study was based on conventional content analysis. Using purposive sampling method, 24 experts in the fields of health in disasters, construction engineering, psychology, teaching, and administrative management participated in the study. Maximum variation sampling continued until data saturation was achieved. The data collected via unstructured interviews were analyzed with Graneheim and Lundmen’s conventional content analysis. Results: Content analysis resulted in four main categories as operational strategies for establishing disaster-resilient schools including: 1) “construction and non-construction optimization”, with four subcategories of construct risk management, optimization of construct architecture and physical structure, correct construct localization, and promotion of non-construct safety, 2) “promotion of organizational coordination and interactions” with two subcategories, namely improvement  in intra-organizational communication and improvement  in extra-organizational communication, 3) “improvement  in education” with three subcategories of holding educational courses for families and students, holding educational courses for managers and personnel, and holding simulated exercises, and 4) “process promotion” with four subcategories of increased preparedness, correct planning, creation of organizational structure, and rehabilitation facilitation. Conclusion: Various factors affecting schools’ response to disasters form operational strategies to establish disaster-resilient schools. These strategies influence pre- and post-disaster preparedness. Awareness of these components followed by preparedness prior to disasters can save students’ lives, improve school performance after disasters, and aid in establishing disaster-resilient schools as safe lodgings

Predicting the cost of the consequences of a large nuclear accident in the UK

Nuclear accidents have the potential to lead to significant off-site effects that require actions to minimise the radiological impacts on people. Such countermeasures may include sheltering, evacuation, restrictions on the sale of locally-grown food, and long-term relocation of the population amongst others. Countries with nuclear facilities draw up emergency preparedness plans, and put in place such provisions as distributing instructions and iodine prophylaxis to the local population. Their plans are applied in simulated exercises on a regular basis. The costs associated with emergency preparedness and the safety provisions to reduce the likelihood of an accident, and/or mitigate the consequences, are justified on the basis of the health risks and accident costs averted. There is, of course, only limited actual experience to indicate the likely costs so that much of the costing of accidents is based on calculations. This paper reviews the methodologies used, in particular the approach that has been developed in the UK, to appraise the costs of a hypothetical nuclear accident. Results of analysing a hypothetical nuclear accident at a fictitious reactor site within the United Kingdom are discussed in relation to the accidents at Three Mile Island 2, Chernobyl and Fukushima Dai-ichi

A Framework for Developing and Integrating Effective Routing Strategies Within the Emergency Management Decision-Support System, Research Report 11-12

This report describes the modeling, calibration, and validation of a VISSIM traffic-flow simulation of the San José, California, downtown network and examines various evacuation scenarios and first-responder routings to assess strategies that would be effective in the event of a no-notice disaster. The modeled network required a large amount of data on network geometry, signal timings, signal coordination schemes, and turning-movement volumes. Turning-movement counts at intersections were used to validate the network with the empirical formula-based measure known as the GEH statistic. Once the base network was tested and validated, various scenarios were modeled to estimate evacuation and emergency vehicle arrival times. Based on these scenarios, a variety of emergency plans for San José’s downtown traffic circulation were tested and validated. The model could be used to evaluate scenarios in other communities by entering their community-specific data

Optimization approaches to the ambulance dispatching and relocation problem

In the Emergency Medical Service (EMS) context, the decision-making process plays a very important role since some decisions highly impact patients’ health. This thesis focuses on the operational level by solving the dispatching and relocation ambulance problems. Dispatching decisions assign ambulances to emergencies, and the relocation problem decides to which base ambulances should be (re)assigned. Two optimization approaches are proposed to improve the effectiveness and efficiency in the EMS response: a mixed-integer linear programming (MILP) model and a pilot method heuristic. The aim is to maximize the system’s coverage using a time-preparedness measure allowing relocations to any base. Experiments are performed using EMS data from Lisbon, Portugal, where solving these problems is still a handmade task. Different ambulance types are considered, which should be used according to the severity of each emergency. The proposed approaches are tested under different scenarios: varying the period size, varying the number of emergencies, and simulating a whole day. Furthermore, they are adapted to compare the proposed strategy with the current Portuguese EMS strategy, which dispatches the closest available ambulance for each emergency and always relocates ambulances to their home bases. Results highlight the potential of the mathematical model and of the proposed strategy to be applied in realtime contexts since a reduction of 10% is obtained in the average response time to emergencies in the simulation scenario. The heuristic should be used when more emergencies occur in the same time period since a solution can be obtained almost immediately in contrast to the MILP usage. To help EMS managers in the decision-making process, we propose an ambulance management tool using Geographic Information Systems, which embeds the proposed approaches. It can be used in real-time or for simulation purposes. It incorporates a map visualization that analyzes ambulances’ movements on the map and the emergencies’ location

Logistical Resource Capability During a Mass Casualty Event in Washington State

The need for increasing efficiencies for medical resource delivery during a mass casualty incident/event is a paramount logistical planning factor that could mean life or death to the citizens affected by a disaster. As such, Washington State has prioritized emergency management and preparedness. Using the just-in-time system by way of Baghbanian\u27 s complex adaptive decision-making theory as the foundation, gave purpose to this qualitative study. This was accomplished by analysis of emergency management professional responses, and to what degree, improvements can be made to the medical resource delivery system during a mass casualty incident/event. Data were collected through semi structured interviews with a random sample of 12 experienced emergency professionals from the State of Washington. This study was guided by primary research questions that focused on emergency managers and their understanding and adaptability toward preparedness. Interview data were deductively coded and analyzed through a thematic analysis procedure. The key theme of this study is that participants perceived slight differences in logistical and operational approaches that vector into transportation and operational understanding as the main factors influencing medical resource delivery. The positive social change association of this study is that it provides emergency managers, first responders, and medical staff with recommendations for analysis and planning development for medical resource delivery, thereby mitigating the life and death implications for citizens in future disasters