Font Size: a A A

Research On Capacity Management Of Operation Systems After Disruption

Posted on:2010-10-09Degree:DoctorType:Dissertation
Country:ChinaCandidate:X BaoFull Text:PDF
GTID:1119360275954699Subject:Business management
Abstract/Summary:PDF Full Text Request
In the past 10 years, we have witnessed many companies suffering the great disruptions because of the strikes by extreme climates and public conflictions. For example, faber was shut down by earthquake; grid collapsed by freezing rain; refinery was sabotaged by intentional terrorism……These cases have made companies quite clear that even the operation systems are well prepared, they still can not be fully immune to nature disasters, operation accidents and man-made disasters. And great losses caused by these disasters are common on various channels frequently.Governments, enterprises and researchers has realized the importance of disruption management since the break-out of 911, 2001, USA. Once again, the tremendous impacts to State Grid, Communication and other large-scale operation systems suffered by China in 2008 have verified that, operation systems especially those social and economic-pivotal operation systems, the lack of efficient disruption management could cause large losses and breaks in wider domain if they were disrupted by any kind of disasters.However, the researches on disruption management of abnormal cases in supply chain and OM fields are rather scarce. The managers can hardly find a proper theory to provide the guidelines when facing real situations. But the experiences of Toyota, Ford and Errisson told us: when disaster happens, first of most, the manager needs to take quick responses to recover the business to normal situation, and the capacity disrupting management is the kernel.The thesis focuses on the capacity disrupting management of operation system, provides the analytical frame and quantitative models on capacity coordinations. The thesis is divided into 7 chapters. They are:Chapter 1, Introduction. During this chapter, research background, meaning and structures of this thesis are presented in order to show a whole picture for future researchers and readers.Chapter 2, Literature Review. During this chapter, the research fields are confined for well understanding the levels of capacity disrupting management in supply chain risk management and disruption management. Then, the thesis elaborated carries on the literature review of papers on supply chain risk management, disruption management and capacity disrupting management for the purpose of giving some contributive paper and theories for this thesis.Chapter 3, Analytical framework of operation system capacity disrupting management. During this chapter, the concepts of capacity and capacity disrupting management are presented. The thesis firstly present the concept of Loss Item Map, and firstly used in loss evaluation after operation system are disrupted. Then, the executive template and procedure diagram based on business continuity planning are presented. At last, the chapter discusses the countermeasures to enhance the effect on capacity disrupting management from 7 areas, for example, taking visualization management on organization construction which is based on the business process analysis, building up the redundant capacity of operation system, and the capacity-oriented alliance.Chapter 4, Operation system coordination strategy after disasters. During this chapter, the thesis analyzes the environments during the disrupting periods, those are the recovery of inner capacity presents multi-periods and the outer supporting capacity presented uncertain. The thesis considers the whole operation cost and penalty which may caused by the lack of capacity, and then constructs the multi-periods recovery and procuring model on the aim of minimizing the total cost. By theory proof and numerical simulation, we have presents 9 meaningful conclusions in management of service and production operation systems.Chapter 5, capacity disrupting coordination strategy under manager's risk attitudes. The research of chapter 5 is the continuity of chapter 4, for only considering the manager's risk attitudes. During this paper, the definition of risk factor is referred to the one that used in measuring manufacturer-distributor alliance. Single and multi-periods decision model corresponding to the characteristics of service and production operation system are constructed, and the theory proof and numerical simulations are carried for showing the actions of managers are obviously deviated from the risk neutral model. Similarly, we have obtained 8 meaningful conclusions in managerial insights.Chapter 6, capacity coordination strategy of operation system under two supply modes. During this chapter, the research makes a further step on the ch4 and ch5, both quantity and timing are considered during the capacity disrupting periods. However, the technology difference and geographical distribution, the alliance company may provide two supply mode on capacity delivery—emergency supply and normal supply. We use the thoughts of multi-source procurement in supply chain for reference to look inside the multi-period order split under risk neutral and risk consideration. We further provide the theory proof and numerical simulation, and 5 meaningful conclusions are obtained for both service and production operation systems.Chapter 7, Conclusion and Perspective. During this chapter, the whole research of this thesis are concluded, and future research directions are discussed.This thesis uses the theories in supply chain risk management, operation management and existed disruption management, take the capacity disrupting management of service and production operation system for the research topic, the coordination strategies are detailed presented quantitatively and analytically. We have made the following 4 innovations, they are:(1) A proper capacity disrupting management framework are presented in this thesis. A loss evaluation system are firstly presented base on the Loss Item Map, and then the executive template and procedure diagram are presented for the guide in capacity disrupting management, which present the standards and references for the following theoretical researches.(2) The research is focused on the capacity disrupting management of large-scale production and service operation system. As to our knowledge, the capacity recovery gradually are first considered in existed quantitative model. Based on this, we construct multi-periods stochastic programming model, and prove the model from the optimization theory. We then design the Hook-Jeeves algorithm and Genetic Algorithm for the numerical simulation, and obtained some inner laws during the capacity disrupting management which also could serve as a guideline for the future model construction.(3) During this paper, the definition of risk factor is introduced to show the capacity disrupting management, which is referred to the one that used in measuring manufacturer- distributor alliance. By doing this, we further get close to the real situation when manager dealing with the disruption management. And the conclusion of this model are helpful for the scientific decision of social administrative department, the choice of alliance and investment to inner capacity recovery department.(4) This paper use the emergency ordering thought in supply chain procurement as a reference to give a detailed research on the outer capacity supply lead time under the consideration of multi-source capacity procurement during the disrupting period. The manager's risk attitudes are also considered. We prove that the optimal decision is maximizing the utilization of the capacity that could be quickest delivered.
Keywords/Search Tags:Operation System, Capacity Disruption Manangement, Disurpting Coordination Model, Stochastic Dynamic Programming
PDF Full Text Request
Related items