王曉芳中國人民大學(xué)商學(xué)院講師,碩士生導(dǎo)師。分別于1999年和2001年在清華大學(xué)自動化系獲得自動化學(xué)士和系統(tǒng)工程碩士學(xué)位,2008年在美國卡耐基梅隆大學(xué)商學(xué)院獲得運營管理博士學(xué)位。2008年8月回國加入中國人民大學(xué)商學(xué)院,中英文雙語講授收益管理、運營管理、統(tǒng)計質(zhì)量管理等課程。主要研究服務(wù)運營管理、醫(yī)療運營管理和收益管理。美國運籌學(xué)和管理學(xué)研究協(xié)會(INFORMS)會員、美國生產(chǎn)與運作管理學(xué)會(POMS)會員和POMS中國分會會員、海外華人學(xué)者管理科學(xué)與工程協(xié)會會員。作為負(fù)責(zé)人主持三項科研課題,其中國家級和教育部的基金項目兩項。發(fā)表國際國內(nèi)學(xué)術(shù)論文十多篇,其中國家自然科學(xué)基金支持的論文“Design and Analysis of:Diagnostic Service centers”以第一作者發(fā)表在國際上公認(rèn)的管理類最高級別學(xué)術(shù)期刊《Management Science》。其他與本書相關(guān)論文見《European Journal of Operamional。Research》和《AI Communications》等著名國際學(xué)術(shù)期刊。
圖書目錄
Chapter 1 Introduction Chapter 2 Diagnostic Service Centers 2.1 Literature Review 2.2 The Model 2.3 General Analysis 2.4 Analysis of the Symmetric Case 2.5 Analysis of the Asymmetric Case 2.6 Numerical Case Studies and Extensions 2.6.1 Parameters and Base Case 2.6.2 Changing the HO'S error costs 2.6.3 Changing the patients'error costs 2.6.4 Convex waiting costs 2.7 Relevance of Integrated Model and Analysis to Practice 2.8 Discussion and Conclusion Chapter 3 Security Screening 3.1 The Model 3.1.1 Model Setup 3.1.2 Definition of Equilibrium 3.2 Potential Applicants'Best Responses 3.2.1 Bad Potential Applicants'Best Responses 3.2.2 Good Potential Applicants'Best Responses 3.3 Optimal Screening Policies 3.3.1 Non-discriminatory Screening Policy 3.3.2 Discriminatory Screening Policy 3.4 Numerical Experiments 3.4.1 Changing the Approver's Reward from Admitting a Good Applicant R 3.4.2 Changing the Parameter of Bad Potential Applicants 3.4.3 Changing the Arrival Rate of All Potential Applicants A 3.4.4 Changing Service Capacity 3.5 Extensions of Our Model 3.5.1 Imperfect Screening 3.5.2 Non-zero Abandon Rate for Good Applieants 3.5.3 Non-zero Waiting Costs for Bad Applicants 3.6 Conclusion and Future Research Directions Chapter 4 High Quality Schedules 4.1 Literature Review 4.1 ·1 Time'cost Tradeoff Problems(Project Crashing) 4.1.2 Anytime Scheduling 4.1.3 Hybrid Scheduling Techniques 4.1.4 Temporal Preference Networks 4.1.5 Service Operations Management 4.2 Problem Formulation 4.3 Problem Solving via Constraint.based Algorithms 4.3.1 The Integrated(Quality First)Hybrid Scheme 4.3.2 The Partitioned(Resource First)Hybrid Scheme: Solve-and.Maximize 4.4 Evaluation Oil Performance of Heuristics 4.4.1 Ratio Vs.Slope 4.4.2 Exact Lookahead or Not? 4.4.3 Impact of Longest Peak First(LPF) …… Chapter 5 Conclusions and Future Research Directions Bibligraphy