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Managing risk and performance : a guide for government leaders /

Table of Contents: “…Risk Management as an Essential Part of Federal Management II. Risk Management as an Integral Part of Good Decision-making III. …”
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Extreme events robust portfolio construction in the presence of fat tails / by Kemp, Malcolm H. D.

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The health care data guide learning from data for improvement / by Provost, Lloyd P.

Table of Contents: “…Introduction to the Drill Down Pathway.An Illustration.Part III Applications of Shewhart Charts in Health Care.10 Using Shewhart Charts for Individual Patient Care.Examples of Shewhart Charts for Individual Patients.Example 1: Temperature Readings for a Hospitalized Patient.Example 2: Bone Density for a Patient Diagnosed with Osteoporosis.Example 3: PSA Screening for Prostate Cancer.Example 4: Shewhart Charts for Continuous Monitoring of Patients.Example 5: Asthma Patient Use of Shewhart Charts.Example 6: Monitoring Weight.Example 7: Monitoring Blood Sugar Control for Patients with Diabetes.Example 8: Monitoring Patient Measures in the Hospital.Example 9: Using Shewhart Charts in Pain Management.11 Learning from Patient Feedback to Improve CarePatient Surveys.Summarizing Patient Feedback Data.Presentation of Patient Satisfaction Data.Using Patient Feedback for Improvement.Using Patient Satisfaction Data in Planning for Improvement.Special Issues with Patient Feedback Data.12 Using Shewhart Charts in Health Care Leadership.A Health Care Organization's Vector of Measures.Developing a Vector of Measures.Displaying and Learning from a Vector of Measures.Administrative Issues with a Vector of Measures.Some Examples of Other Vectors of Measures.Summary.Part IV Case Studies.13 Case Studies Using Shewhart Charts.Case Study A Improving Access to a Specialty Care Clinic.Case Study B Radiology Improvement Projects.Case Study C Reducing Post CABG Infections.Case Study D Drilling Down Into Percent of C-Sections.Case Study E Accidental Puncture/Laceration Rate.Case Study F Reducing Readmission Rates.Case Study G Variation in Financial Data.Shewhart Chart Selection Guide.Notes.Index.…”
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Introduction to logistics systems management by Ghiani, Gianpaolo

Table of Contents: “…Machine generated contents note: Foreword Preface About the Authors Exercises and Website Acknowledgments 1 Introducing Logistics 1.1 Definition of Logistics 1.2 Logistics Systems 1.2.1 Logistics activities 1.2.2 Information flows and logistics network 1.2.3 Case of more products 1.3 Reverse Logistics 1.4 Integrated Logistics 1.5 Objectives of Logistics 1.5.1 Measures of the service level 1.6 Management of the Logistics System 1.6.1 Planning phase 1.6.2 Organisational phase 1.6.3 Control phase 1.7 Case Study: the Pfizer Logistics System 1.8 Questions and Problems 2 Forecasting Logistics Requirements 2.1 Introduction 2.2 Qualitative Methods 2.3 Quantitative Methods 2.3.1 Graphical representation of time series 2.3.2 Classification of time series 2.4 Data Preprocessing 2.4.1 Insertion of missing data 2.4.2 Detection of outliers 2.4.3 Data aggregation 2.4.4 Removing the calendar variations 2.4.5 Deflating monetary time series 2.4.6 Adjusting for population variations 2.4.7 Normalising the data 2.5 Choice of the Forecasting Method 2.5.1 Notation 2.5.2 Casual versus extrapolation methods 2.5.3 Decomposition method 2.5.4 Further time series extrapolation methods: the constant trend case 2.5.5 Further time series extrapolation methods: the linear trend case 2.5.6 Further time series extrapolation methods: the seasonal effect case 2.5.7 Further time series extrapolation methods: the irregular series case 2.5.8 Sporadic time series 2.6 Advanced Forecasting Method 2.7 Accuracy Measure and Forecasting Monitoring 2.7.1 Accuracy measures 2.7.2 Tuning of the forecasting methods 2.7.3 Forecast control 2.8 Interval Forecasts 2.9 Case Study: Forecasting Methods at Adriatica Accumulatori 2.10 Case Study: Sales Forecasting at Orlea 2.11 Questions and Problems 3 Designing the Logistics Network 3.1 Introduction 3.2 Qualitative Methods 3.3 Quantitative Methods 3.3.1 Single-commodity single-echelon continuous location problems 3.3.2 Single-commodity single-echelon discrete location problems 3.3.3 Single-commodity two-echelon discrete location problems 3.3.4 The multi-commodity case 3.3.5 Location-covering problems 3.3.6 p-centre problems 3.4 Hybrid Methods 3.5 Stochastic Location Models 3.6 Case Study: Container Warehouse Location at Hardcastle 3.7 Case Study: the Organ Transplantation Location-Allocation Policy of the Italian National Transplant Centre 3.8 Questions and Problems 4 Selecting the Suppliers 4.1 Introduction 4.2 Definition of the Set of Potential Suppliers 4.3 Definition of the Selection Criteria 4.4 Supplier Selection 4.5 Case Study: the System for the Selection of Suppliers at Baxter 4.6 Questions and Problems 5 Managing a Warehouse 5.1 Introduction 5.1.1 Performance parameters 5.1.2 Decision-making problems 5.2 Warehouse Design 5.2.1 Choice of warehouse systems 5.2.2 Choice of warehouse layout 5.2.3 Sizing of the storage zone 5.2.4 Sizing of the receiving zone 5.2.5 Sizing of the shipping zone 5.3 Tactical Decisions for Warehouse Logistics Planning 5.3.1 Product allocation to the storage points 5.3.2 Inventory management 5.4 Operational Decisions for Warehouse Logistics Management 5.4.1 Package picking from the storage zone 5.4.2 Package consolidation in load units 5.5 Case Study: Performance Evaluation of an AS/RS System conducted by Wert Consulting 5.6 Case Study: Inventory Management at Wolferine 5.7 Case Study: Airplane Loading at FedEx 5.8 Questions and Problems 6 Managing Freight Transport 6.1 Introduction 6.1.1 Modes of transport 6.1.2 Classification of transport problems 6.2 Freight Traffic Assignment Problems 6.2.1 Minimum cost flow formulation 6.2.2 Linear single commodity minimum cost flow problems 6.2.3 Linear multicommodity minimum cost flow problems 6.3 Service Network Design Problems 6.3.1 The linear fixed charge network design model 6.4 Vehicle Allocation Problems 6.5 A Dynamic Driver Assignment Problem 6.6 Fleet Composition 6.7 Shipment Consolidation 6.8 Vehicle Routing Problems 6.8.1 The travelling salesman problem 6.8.2 The node routing problem with capacity and length constraints 6.8.3 The node routing and scheduling problem with time windows 6.8.4 Arc routing problems 6.8.5 Route sequencing 6.9 Real-Time Vehicle Routing Problems 6.10 Integrated Location and Routing Problems 6.11 Vendor Managed Inventory-Routing 6.12 Case Study: Air Network Design at Intexpress 6.13 Case Study: Meter Reader Routing and Scheduling at Socal 6.14 Case Study: Dynamic Vehicle Dispatching Problem with pickups and Deliveries at eCourier 6.15 Questions and Problems Index .…”
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Soft magnetic materials : selected, peer reviewed paper [i.e. papers] from 2011 International Conference on Soft Magnetic Materials (ICSMM 2011) on May 23-24, in Male, Maldives /

An electronic book accessible through the World Wide Web; click to view

Extreme events robust portfolio construction in the presence of fat tails / by Kemp, Malcolm H. D.

An electronic book accessible through the World Wide Web; click to view

The health care data guide learning from data for improvement / by Provost, Lloyd P.

Table of Contents: “…Introduction to the Drill Down Pathway.An Illustration.Part III Applications of Shewhart Charts in Health Care.10 Using Shewhart Charts for Individual Patient Care.Examples of Shewhart Charts for Individual Patients.Example 1: Temperature Readings for a Hospitalized Patient.Example 2: Bone Density for a Patient Diagnosed with Osteoporosis.Example 3: PSA Screening for Prostate Cancer.Example 4: Shewhart Charts for Continuous Monitoring of Patients.Example 5: Asthma Patient Use of Shewhart Charts.Example 6: Monitoring Weight.Example 7: Monitoring Blood Sugar Control for Patients with Diabetes.Example 8: Monitoring Patient Measures in the Hospital.Example 9: Using Shewhart Charts in Pain Management.11 Learning from Patient Feedback to Improve CarePatient Surveys.Summarizing Patient Feedback Data.Presentation of Patient Satisfaction Data.Using Patient Feedback for Improvement.Using Patient Satisfaction Data in Planning for Improvement.Special Issues with Patient Feedback Data.12 Using Shewhart Charts in Health Care Leadership.A Health Care Organization's Vector of Measures.Developing a Vector of Measures.Displaying and Learning from a Vector of Measures.Administrative Issues with a Vector of Measures.Some Examples of Other Vectors of Measures.Summary.Part IV Case Studies.13 Case Studies Using Shewhart Charts.Case Study A Improving Access to a Specialty Care Clinic.Case Study B Radiology Improvement Projects.Case Study C Reducing Post CABG Infections.Case Study D Drilling Down Into Percent of C-Sections.Case Study E Accidental Puncture/Laceration Rate.Case Study F Reducing Readmission Rates.Case Study G Variation in Financial Data.Shewhart Chart Selection Guide.Notes.Index.…”
An electronic book accessible through the World Wide Web; click to view

Introduction to logistics systems management by Ghiani, Gianpaolo

Table of Contents: “…Machine generated contents note: Foreword Preface About the Authors Exercises and Website Acknowledgments 1 Introducing Logistics 1.1 Definition of Logistics 1.2 Logistics Systems 1.2.1 Logistics activities 1.2.2 Information flows and logistics network 1.2.3 Case of more products 1.3 Reverse Logistics 1.4 Integrated Logistics 1.5 Objectives of Logistics 1.5.1 Measures of the service level 1.6 Management of the Logistics System 1.6.1 Planning phase 1.6.2 Organisational phase 1.6.3 Control phase 1.7 Case Study: the Pfizer Logistics System 1.8 Questions and Problems 2 Forecasting Logistics Requirements 2.1 Introduction 2.2 Qualitative Methods 2.3 Quantitative Methods 2.3.1 Graphical representation of time series 2.3.2 Classification of time series 2.4 Data Preprocessing 2.4.1 Insertion of missing data 2.4.2 Detection of outliers 2.4.3 Data aggregation 2.4.4 Removing the calendar variations 2.4.5 Deflating monetary time series 2.4.6 Adjusting for population variations 2.4.7 Normalising the data 2.5 Choice of the Forecasting Method 2.5.1 Notation 2.5.2 Casual versus extrapolation methods 2.5.3 Decomposition method 2.5.4 Further time series extrapolation methods: the constant trend case 2.5.5 Further time series extrapolation methods: the linear trend case 2.5.6 Further time series extrapolation methods: the seasonal effect case 2.5.7 Further time series extrapolation methods: the irregular series case 2.5.8 Sporadic time series 2.6 Advanced Forecasting Method 2.7 Accuracy Measure and Forecasting Monitoring 2.7.1 Accuracy measures 2.7.2 Tuning of the forecasting methods 2.7.3 Forecast control 2.8 Interval Forecasts 2.9 Case Study: Forecasting Methods at Adriatica Accumulatori 2.10 Case Study: Sales Forecasting at Orlea 2.11 Questions and Problems 3 Designing the Logistics Network 3.1 Introduction 3.2 Qualitative Methods 3.3 Quantitative Methods 3.3.1 Single-commodity single-echelon continuous location problems 3.3.2 Single-commodity single-echelon discrete location problems 3.3.3 Single-commodity two-echelon discrete location problems 3.3.4 The multi-commodity case 3.3.5 Location-covering problems 3.3.6 p-centre problems 3.4 Hybrid Methods 3.5 Stochastic Location Models 3.6 Case Study: Container Warehouse Location at Hardcastle 3.7 Case Study: the Organ Transplantation Location-Allocation Policy of the Italian National Transplant Centre 3.8 Questions and Problems 4 Selecting the Suppliers 4.1 Introduction 4.2 Definition of the Set of Potential Suppliers 4.3 Definition of the Selection Criteria 4.4 Supplier Selection 4.5 Case Study: the System for the Selection of Suppliers at Baxter 4.6 Questions and Problems 5 Managing a Warehouse 5.1 Introduction 5.1.1 Performance parameters 5.1.2 Decision-making problems 5.2 Warehouse Design 5.2.1 Choice of warehouse systems 5.2.2 Choice of warehouse layout 5.2.3 Sizing of the storage zone 5.2.4 Sizing of the receiving zone 5.2.5 Sizing of the shipping zone 5.3 Tactical Decisions for Warehouse Logistics Planning 5.3.1 Product allocation to the storage points 5.3.2 Inventory management 5.4 Operational Decisions for Warehouse Logistics Management 5.4.1 Package picking from the storage zone 5.4.2 Package consolidation in load units 5.5 Case Study: Performance Evaluation of an AS/RS System conducted by Wert Consulting 5.6 Case Study: Inventory Management at Wolferine 5.7 Case Study: Airplane Loading at FedEx 5.8 Questions and Problems 6 Managing Freight Transport 6.1 Introduction 6.1.1 Modes of transport 6.1.2 Classification of transport problems 6.2 Freight Traffic Assignment Problems 6.2.1 Minimum cost flow formulation 6.2.2 Linear single commodity minimum cost flow problems 6.2.3 Linear multicommodity minimum cost flow problems 6.3 Service Network Design Problems 6.3.1 The linear fixed charge network design model 6.4 Vehicle Allocation Problems 6.5 A Dynamic Driver Assignment Problem 6.6 Fleet Composition 6.7 Shipment Consolidation 6.8 Vehicle Routing Problems 6.8.1 The travelling salesman problem 6.8.2 The node routing problem with capacity and length constraints 6.8.3 The node routing and scheduling problem with time windows 6.8.4 Arc routing problems 6.8.5 Route sequencing 6.9 Real-Time Vehicle Routing Problems 6.10 Integrated Location and Routing Problems 6.11 Vendor Managed Inventory-Routing 6.12 Case Study: Air Network Design at Intexpress 6.13 Case Study: Meter Reader Routing and Scheduling at Socal 6.14 Case Study: Dynamic Vehicle Dispatching Problem with pickups and Deliveries at eCourier 6.15 Questions and Problems Index .…”
An electronic book accessible through the World Wide Web; click to view

Soft magnetic materials : selected, peer reviewed paper [i.e. papers] from 2011 International Conference on Soft Magnetic Materials (ICSMM 2011) on May 23-24, in Male, Maldives /

An electronic book accessible through the World Wide Web; click to view

Principles of water treatment by Howe, Kerry J.

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Mixed models theory and applications with R / by Demidenko, Eugene, 1948-

An electronic book accessible through the World Wide Web; click to view

Principles of water treatment by Howe, Kerry J.

An electronic book accessible through the World Wide Web; click to view

Mixed models theory and applications with R / by Demidenko, Eugene, 1948-

An electronic book accessible through the World Wide Web; click to view

Proceedings of the 13th International Congress on Mathematical Education ICME-13 /

Table of Contents: “…Hans-Georg Weigand, William McCallum, Marta Menghini, Michael Neubrand, Gert Schubring, Renate Tobies -- part 5: National presentations -- Argentinean National presentation, Esther Galina, Mónica Villarreal -- Teachers’ Professional Development and Mathematics Education in Brazil, Victor Giraldo -- Mathematics Education in Ireland, Maurice OReilly, Thérèse Dooley, Elizabeth Oldham, Gerry Shiel -- National presentation of Japan, Toshiakira Fujii, Yoshinori Shimizu, Hanako Senuma, Toshikazu Ikeda -- National presentation of Lower Mekong sub-region countries, Fidel R. …”
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Proceedings of the 13th International Congress on Mathematical Education ICME-13 /

Table of Contents: “…Hans-Georg Weigand, William McCallum, Marta Menghini, Michael Neubrand, Gert Schubring, Renate Tobies -- part 5: National presentations -- Argentinean National presentation, Esther Galina, Mónica Villarreal -- Teachers’ Professional Development and Mathematics Education in Brazil, Victor Giraldo -- Mathematics Education in Ireland, Maurice OReilly, Thérèse Dooley, Elizabeth Oldham, Gerry Shiel -- National presentation of Japan, Toshiakira Fujii, Yoshinori Shimizu, Hanako Senuma, Toshikazu Ikeda -- National presentation of Lower Mekong sub-region countries, Fidel R. …”
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Brand advocates turning enthusiastic customers into a powerful marketing force / by Fuggetta, Rob

Table of Contents: “…Machine generated contents note: Introduction Turning Advocates Into Marketers You Can Do This Too What You'll Learn Why I Wrote This Book How This Book Is Organized Your Advocate Army Is Ready. Are You? Section 1: Understanding Brand Advocates Chapter 1: What's A Brand Advocate, Anyway? …”
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Statistical monitoring of complex multivariate processes with applications in industrial process control / by Krüger, Uwe, Dr

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Electron flow in organic chemistry a decision-based guide to organic mechanisms / by Scudder, Paul H.

Table of Contents: “…Base Theory 41 2.5 Thermodynamics, Position Of Equilibrium 43 2.6 Kinetics, Rate Of Reaction 47 2.7 Solvent Stabilization Of Ions 53 2.8 Enzymatic Catalysis - Lessons From Biochemistry 55 2.9 Summary 57 3 PROTON TRANSFER AND THE PRINCIPLES OF STABILITY 61 3.1 Introduction To Proton Transfer 62 3.2 Ranking Of Acids And Bases, The pKa Chart 63 3.3 Structural Factors That Influence Acid Strength 66 3.4 Structural Factors That Influence Base Strength 70 3.5 Carbon Acids & Ranking Of Electron-Withdrawing Groups 71 3.6 Calculation Of Keq For Proton Transfer 76 3.7 Proton Transfer Mechanisms 77 3.8 Common Errors 81 3.9 Proton Transfer Product Predictions 82 3.10 Summary 83 4 IMPORTANT REACTION ARCHETYPES 88 4.1 Introduction To Reaction Archetypes 89 4.2 Nucleophilic Substitution At A Tetrahedral Center 89 4.3 Elimination Reactions Create Pi Bonds 110 4.4 Addition Reactions To Polarized Multiple Bonds 124 4.5 Nucleophilic Substitution At A Trigonal Planar Center 133 4.6 Electrophilic Substitution At A Trigonal Planar Center 140 4.7 Rearrangements To An Electrophilic Carbon 144 4.8 Reaction Archetype Summary 146 5 CLASSIFICATION OF ELECTRON SOURCES 151 5.1 Generalized Ranking Of Electron Sources 151 5.2 Nonbonding Electrons 152 5.3 Electron-Rich Sigma Bonds 154 5.4 Electron-Rich Pi Bonds 155 5.5 Simple Pi Bonds 156 5.6 Aromatic Rings 159 5.7 Summary Of Generic Electron Sources 160 6 CLASSIFICATION OF ELECTRON SINKS 166 6.1 Generalized Ranking Of Electron Sinks 166 6.2 Electron-Deficient Species 167 6.3 Weak Single Bonds 168 6.4 Polarized Multiple Bonds Without Leaving Groups 170 6.5 Polarized Multiple Bonds With Leaving Groups 172 6.6 Summary Of Generic Electron Sinks 173 7 THE ELECTRON FLOW PATHWAYS 179 7.1 The Dozen Most Common Pathways 180 7.2 Six Minor Pathways 191 7.3 Common Path Combinations 197 7.4 Variations On A Theme 201 7.5 Twelve Major Paths Summary And Crosschecks 208 8 INTERACTION OF ELECTRON SOURCES AND SINKS 213 8.1 Source And Sink Correlation Matrix 214 8.2 H-A Sinks Reacting With Common Sources 214 8.3 Y?…”
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Brand advocates turning enthusiastic customers into a powerful marketing force / by Fuggetta, Rob

Table of Contents: “…Machine generated contents note: Introduction Turning Advocates Into Marketers You Can Do This Too What You'll Learn Why I Wrote This Book How This Book Is Organized Your Advocate Army Is Ready. Are You? Section 1: Understanding Brand Advocates Chapter 1: What's A Brand Advocate, Anyway? …”
An electronic book accessible through the World Wide Web; click to view