Modelling Supply Chain Dynamics:
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing AG
2022
|
| Subjects: | |
| Online Access: | HWR01 |
| Physical Description: | 1 Online-Ressource (224 Seiten) |
| ISBN: | 9783030791896 |
Staff View
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| 505 | 8 | |a Intro -- Preface -- Organisation of the Book -- Acknowledgements -- Contents -- Acronyms -- 1 Introduction to Supply Chains -- 1.1 Introduction -- 1.2 The Rise of Supply Chains -- 1.2.1 A Definition of Supply Chain -- 1.2.2 Factors Facilitating Supply Chains -- 1.2.3 Main Elements of a Supply Chain -- 1.3 New Problems, New Opportunities: The Bullwhip Effect -- 1.3.1 The Bullwhip Effect -- 1.3.2 Barriers to Overcome the Bullwhip Effect -- 1.4 Modelling Supply Chain Dynamics -- 1.5 Summary -- 1.6 Further Readings -- References -- 2 Supply Chain Management -- 2.1 Introduction -- 2.2 Main Activities in SCM: The SCOR Model -- 2.3 Demand Modelling and Forecast -- 2.3.1 Demand Modelling -- 2.3.2 Forecasting Techniques -- 2.3.3 Other Forecasting Techniques -- 2.3.4 Measuring the Error in the Estimations -- 2.3.5 MMSE Estimation -- 2.4 Source: Inventory Management -- 2.4.1 Forecasting the Demand -- 2.4.2 Estimating the On-Hand Inventory -- 2.5 Summary -- 2.6 Further Readings -- References -- 3 Supply Chain Dynamics -- 3.1 Introduction -- 3.2 The Dynamic Behaviour of a SC -- 3.3 Behavioural Causes -- 3.4 Operational Causes -- 3.5 Approaches to Mitigate the Bullwhip Effect -- 3.5.1 Behavioural Causes -- 3.5.2 Operational Causes -- 3.6 Performance Measures in SC/SCD -- 3.6.1 Measuring Order Variability -- 3.6.2 Measuring Inventory Variability -- 3.6.3 Slope Metrics -- 3.6.4 Other Metrics -- 3.7 Summary -- 3.8 Further Readings -- References -- 4 Basic Models for SC Dynamics -- 4.1 Introduction -- 4.2 The Role of Modelling in OM/SCM -- 4.3 Elements of a Basic Supply Chain Model -- 4.4 Measuring the Bullwhip Effect -- 4.5 Putting All Pieces Together -- 4.5.1 Inventory Update -- 4.5.2 Work in process Update -- 4.5.3 Issuing the Order -- 4.5.4 Demand Estimates -- 4.5.5 A Simple Simulation Model -- 4.6 The Model at Supply Chain Level | |
| 505 | 8 | |a 4.6.1 An Expression of the BWE for a Two- and Three-Echelon SC -- 4.7 Implications of the Model: The Causes of Bullwhip Effect Revisited -- 4.8 Summary -- 4.9 Further Readings -- References -- 5 The Effect of the Quality of Information in SCD -- 5.1 Introduction -- 5.2 Information Sharing -- 5.2.1 Expressing the Orders as a Function of the Customer Demand -- 5.2.2 Expressing the Orders Across the Supplier Lead Time as a Function of the Customer Demand -- 5.2.3 Orders Average and Standard Deviation for the No Info Sharing Scenario -- 5.2.4 Orders Average and Standard Deviation for the Info Sharing Scenario -- 5.2.5 The Impact of Information Sharing on Inventory -- 5.2.6 Using Past Orders to Forecast Demand -- 5.3 The Effect of Information Timeliness -- 5.3.1 Demand Estimate with Time-Lagged Data -- 5.3.2 The Error When Estimating with Time-Lagged Data -- 5.3.3 The Bullwhip Effect with Time-Lagged Data -- 5.4 Inaccuracies in the Inventory Information (IRI) -- 5.4.1 Shrinkage -- 5.4.2 Product Misplacement -- 5.4.3 Transaction Errors -- 5.5 Advance Demand Information -- 5.5.1 Perfect ADI in Make-to-Stock SCs -- 5.5.2 The Case of Imperfect ADI -- 5.6 Conclusions -- 5.7 Further Readings -- References -- 6 Enriching SC Models -- 6.1 Introduction -- 6.2 Revisiting Some Hypotheses in the Basic SC Model -- 6.2.1 Backlogged Demand -- 6.2.2 Returned Orders -- 6.3 Variable Lead Times -- 6.3.1 Estimating Both Demand and Lead Times Using the Moving Average -- 6.3.2 Simulation Models -- 6.4 Order Crossover -- 6.5 Capacitated SCs -- 6.5.1 Modelling Capacity Limits -- 6.5.2 Workload-Dependent Lead Times -- 6.5.3 Combining Capacity Limitation with Load-Depending Lead Times -- 6.6 Conclusions -- 6.7 Further Readings -- References -- 7 Closed-Loop Supply Chain -- 7.1 Introduction -- 7.2 Remanufacturing Scenarios -- 7.3 Market and Remanufacturing Visibility | |
| 505 | 8 | |a 7.3.1 Estimating the Flow of the Returns -- 7.4 Uncertainty in the Returns -- 7.4.1 No Consideration of the Return Flow -- 7.4.2 Estimation of the Return Flow -- 7.5 Conclusions -- 7.6 Further Readings -- References -- 8 Modelling Complex SC Structures -- 8.1 Introduction -- 8.2 Several Retailers/Order Batching -- 8.2.1 Case 1: Independent Retailers -- 8.2.2 Case 2: Positively Correlated Orders -- 8.2.3 Comparing the Cases -- 8.3 Several Retailers with a Competing Market -- 8.3.1 Non-MMSE Estimations in a Competing Market -- 8.4 Conclusions -- 8.5 Further Readings -- References -- 9 Further Issues in Modelling SC Dynamics -- 9.1 Introduction -- 9.2 Financial Considerations in SC Dynamics -- 9.3 Enhanced Forms of SC Collaboration -- 9.4 Supply Chain 4.0 -- 9.5 Supply Chain Resilience and the Ripple Effect -- 9.6 Conclusions -- References -- Appendix A Useful Calculus Formulae -- A.1 Geometric Series -- A.2 Power Series -- A.3 Leibniz's Rule -- Appendix B Basic Probability Tools -- B.1 Random Variables -- B.1.0.1 Function of a RV -- B.1.1 Main Characteristics of a RV -- B.1.1.1 Expected Value -- B.1.1.2 Variance of an RV -- B.2 Random Vectors -- B.2.1 Properties of the Random Vectors -- B.2.2 Conditional Probability and Independence -- B.2.3 Law of Total Expectation -- B.2.4 Law of Total Variance -- B.2.5 Random Sum -- B.3 Independence of RVs -- B.4 Useful Distributions -- B.4.1 Bernoulli -- B.4.2 Binomial -- B.4.3 Normal -- B.4.4 Gamma -- Appendix C Time Series Basics for Demand Modelling -- C.1 Stationary Time Series -- C.1.1 AR(1) Series -- C.1.1.1 Mean, Variance and Covariance -- C.1.2 ARMA(p, q) Series -- C.2 Minimum Mean Square Estimation (MMSE) -- Index | |
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| contents | Intro -- Preface -- Organisation of the Book -- Acknowledgements -- Contents -- Acronyms -- 1 Introduction to Supply Chains -- 1.1 Introduction -- 1.2 The Rise of Supply Chains -- 1.2.1 A Definition of Supply Chain -- 1.2.2 Factors Facilitating Supply Chains -- 1.2.3 Main Elements of a Supply Chain -- 1.3 New Problems, New Opportunities: The Bullwhip Effect -- 1.3.1 The Bullwhip Effect -- 1.3.2 Barriers to Overcome the Bullwhip Effect -- 1.4 Modelling Supply Chain Dynamics -- 1.5 Summary -- 1.6 Further Readings -- References -- 2 Supply Chain Management -- 2.1 Introduction -- 2.2 Main Activities in SCM: The SCOR Model -- 2.3 Demand Modelling and Forecast -- 2.3.1 Demand Modelling -- 2.3.2 Forecasting Techniques -- 2.3.3 Other Forecasting Techniques -- 2.3.4 Measuring the Error in the Estimations -- 2.3.5 MMSE Estimation -- 2.4 Source: Inventory Management -- 2.4.1 Forecasting the Demand -- 2.4.2 Estimating the On-Hand Inventory -- 2.5 Summary -- 2.6 Further Readings -- References -- 3 Supply Chain Dynamics -- 3.1 Introduction -- 3.2 The Dynamic Behaviour of a SC -- 3.3 Behavioural Causes -- 3.4 Operational Causes -- 3.5 Approaches to Mitigate the Bullwhip Effect -- 3.5.1 Behavioural Causes -- 3.5.2 Operational Causes -- 3.6 Performance Measures in SC/SCD -- 3.6.1 Measuring Order Variability -- 3.6.2 Measuring Inventory Variability -- 3.6.3 Slope Metrics -- 3.6.4 Other Metrics -- 3.7 Summary -- 3.8 Further Readings -- References -- 4 Basic Models for SC Dynamics -- 4.1 Introduction -- 4.2 The Role of Modelling in OM/SCM -- 4.3 Elements of a Basic Supply Chain Model -- 4.4 Measuring the Bullwhip Effect -- 4.5 Putting All Pieces Together -- 4.5.1 Inventory Update -- 4.5.2 Work in process Update -- 4.5.3 Issuing the Order -- 4.5.4 Demand Estimates -- 4.5.5 A Simple Simulation Model -- 4.6 The Model at Supply Chain Level 4.6.1 An Expression of the BWE for a Two- and Three-Echelon SC -- 4.7 Implications of the Model: The Causes of Bullwhip Effect Revisited -- 4.8 Summary -- 4.9 Further Readings -- References -- 5 The Effect of the Quality of Information in SCD -- 5.1 Introduction -- 5.2 Information Sharing -- 5.2.1 Expressing the Orders as a Function of the Customer Demand -- 5.2.2 Expressing the Orders Across the Supplier Lead Time as a Function of the Customer Demand -- 5.2.3 Orders Average and Standard Deviation for the No Info Sharing Scenario -- 5.2.4 Orders Average and Standard Deviation for the Info Sharing Scenario -- 5.2.5 The Impact of Information Sharing on Inventory -- 5.2.6 Using Past Orders to Forecast Demand -- 5.3 The Effect of Information Timeliness -- 5.3.1 Demand Estimate with Time-Lagged Data -- 5.3.2 The Error When Estimating with Time-Lagged Data -- 5.3.3 The Bullwhip Effect with Time-Lagged Data -- 5.4 Inaccuracies in the Inventory Information (IRI) -- 5.4.1 Shrinkage -- 5.4.2 Product Misplacement -- 5.4.3 Transaction Errors -- 5.5 Advance Demand Information -- 5.5.1 Perfect ADI in Make-to-Stock SCs -- 5.5.2 The Case of Imperfect ADI -- 5.6 Conclusions -- 5.7 Further Readings -- References -- 6 Enriching SC Models -- 6.1 Introduction -- 6.2 Revisiting Some Hypotheses in the Basic SC Model -- 6.2.1 Backlogged Demand -- 6.2.2 Returned Orders -- 6.3 Variable Lead Times -- 6.3.1 Estimating Both Demand and Lead Times Using the Moving Average -- 6.3.2 Simulation Models -- 6.4 Order Crossover -- 6.5 Capacitated SCs -- 6.5.1 Modelling Capacity Limits -- 6.5.2 Workload-Dependent Lead Times -- 6.5.3 Combining Capacity Limitation with Load-Depending Lead Times -- 6.6 Conclusions -- 6.7 Further Readings -- References -- 7 Closed-Loop Supply Chain -- 7.1 Introduction -- 7.2 Remanufacturing Scenarios -- 7.3 Market and Remanufacturing Visibility 7.3.1 Estimating the Flow of the Returns -- 7.4 Uncertainty in the Returns -- 7.4.1 No Consideration of the Return Flow -- 7.4.2 Estimation of the Return Flow -- 7.5 Conclusions -- 7.6 Further Readings -- References -- 8 Modelling Complex SC Structures -- 8.1 Introduction -- 8.2 Several Retailers/Order Batching -- 8.2.1 Case 1: Independent Retailers -- 8.2.2 Case 2: Positively Correlated Orders -- 8.2.3 Comparing the Cases -- 8.3 Several Retailers with a Competing Market -- 8.3.1 Non-MMSE Estimations in a Competing Market -- 8.4 Conclusions -- 8.5 Further Readings -- References -- 9 Further Issues in Modelling SC Dynamics -- 9.1 Introduction -- 9.2 Financial Considerations in SC Dynamics -- 9.3 Enhanced Forms of SC Collaboration -- 9.4 Supply Chain 4.0 -- 9.5 Supply Chain Resilience and the Ripple Effect -- 9.6 Conclusions -- References -- Appendix A Useful Calculus Formulae -- A.1 Geometric Series -- A.2 Power Series -- A.3 Leibniz's Rule -- Appendix B Basic Probability Tools -- B.1 Random Variables -- B.1.0.1 Function of a RV -- B.1.1 Main Characteristics of a RV -- B.1.1.1 Expected Value -- B.1.1.2 Variance of an RV -- B.2 Random Vectors -- B.2.1 Properties of the Random Vectors -- B.2.2 Conditional Probability and Independence -- B.2.3 Law of Total Expectation -- B.2.4 Law of Total Variance -- B.2.5 Random Sum -- B.3 Independence of RVs -- B.4 Useful Distributions -- B.4.1 Bernoulli -- B.4.2 Binomial -- B.4.3 Normal -- B.4.4 Gamma -- Appendix C Time Series Basics for Demand Modelling -- C.1 Stationary Time Series -- C.1.1 AR(1) Series -- C.1.1.1 Mean, Variance and Covariance -- C.1.2 ARMA(p, q) Series -- C.2 Minimum Mean Square Estimation (MMSE) -- Index |
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| discipline | Wirtschaftswissenschaften |
| discipline_str_mv | Wirtschaftswissenschaften |
| format | Electronic eBook |
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| id | DE-604.BV048523273 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T20:50:26Z |
| indexdate | 2024-07-10T09:40:30Z |
| institution | BVB |
| isbn | 9783030791896 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033900121 |
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| physical | 1 Online-Ressource (224 Seiten) |
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| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Springer International Publishing AG |
| record_format | marc |
| spelling | Framinan, Jose M. Verfasser aut Modelling Supply Chain Dynamics Cham Springer International Publishing AG 2022 ©2022 1 Online-Ressource (224 Seiten) txt rdacontent c rdamedia cr rdacarrier Intro -- Preface -- Organisation of the Book -- Acknowledgements -- Contents -- Acronyms -- 1 Introduction to Supply Chains -- 1.1 Introduction -- 1.2 The Rise of Supply Chains -- 1.2.1 A Definition of Supply Chain -- 1.2.2 Factors Facilitating Supply Chains -- 1.2.3 Main Elements of a Supply Chain -- 1.3 New Problems, New Opportunities: The Bullwhip Effect -- 1.3.1 The Bullwhip Effect -- 1.3.2 Barriers to Overcome the Bullwhip Effect -- 1.4 Modelling Supply Chain Dynamics -- 1.5 Summary -- 1.6 Further Readings -- References -- 2 Supply Chain Management -- 2.1 Introduction -- 2.2 Main Activities in SCM: The SCOR Model -- 2.3 Demand Modelling and Forecast -- 2.3.1 Demand Modelling -- 2.3.2 Forecasting Techniques -- 2.3.3 Other Forecasting Techniques -- 2.3.4 Measuring the Error in the Estimations -- 2.3.5 MMSE Estimation -- 2.4 Source: Inventory Management -- 2.4.1 Forecasting the Demand -- 2.4.2 Estimating the On-Hand Inventory -- 2.5 Summary -- 2.6 Further Readings -- References -- 3 Supply Chain Dynamics -- 3.1 Introduction -- 3.2 The Dynamic Behaviour of a SC -- 3.3 Behavioural Causes -- 3.4 Operational Causes -- 3.5 Approaches to Mitigate the Bullwhip Effect -- 3.5.1 Behavioural Causes -- 3.5.2 Operational Causes -- 3.6 Performance Measures in SC/SCD -- 3.6.1 Measuring Order Variability -- 3.6.2 Measuring Inventory Variability -- 3.6.3 Slope Metrics -- 3.6.4 Other Metrics -- 3.7 Summary -- 3.8 Further Readings -- References -- 4 Basic Models for SC Dynamics -- 4.1 Introduction -- 4.2 The Role of Modelling in OM/SCM -- 4.3 Elements of a Basic Supply Chain Model -- 4.4 Measuring the Bullwhip Effect -- 4.5 Putting All Pieces Together -- 4.5.1 Inventory Update -- 4.5.2 Work in process Update -- 4.5.3 Issuing the Order -- 4.5.4 Demand Estimates -- 4.5.5 A Simple Simulation Model -- 4.6 The Model at Supply Chain Level 4.6.1 An Expression of the BWE for a Two- and Three-Echelon SC -- 4.7 Implications of the Model: The Causes of Bullwhip Effect Revisited -- 4.8 Summary -- 4.9 Further Readings -- References -- 5 The Effect of the Quality of Information in SCD -- 5.1 Introduction -- 5.2 Information Sharing -- 5.2.1 Expressing the Orders as a Function of the Customer Demand -- 5.2.2 Expressing the Orders Across the Supplier Lead Time as a Function of the Customer Demand -- 5.2.3 Orders Average and Standard Deviation for the No Info Sharing Scenario -- 5.2.4 Orders Average and Standard Deviation for the Info Sharing Scenario -- 5.2.5 The Impact of Information Sharing on Inventory -- 5.2.6 Using Past Orders to Forecast Demand -- 5.3 The Effect of Information Timeliness -- 5.3.1 Demand Estimate with Time-Lagged Data -- 5.3.2 The Error When Estimating with Time-Lagged Data -- 5.3.3 The Bullwhip Effect with Time-Lagged Data -- 5.4 Inaccuracies in the Inventory Information (IRI) -- 5.4.1 Shrinkage -- 5.4.2 Product Misplacement -- 5.4.3 Transaction Errors -- 5.5 Advance Demand Information -- 5.5.1 Perfect ADI in Make-to-Stock SCs -- 5.5.2 The Case of Imperfect ADI -- 5.6 Conclusions -- 5.7 Further Readings -- References -- 6 Enriching SC Models -- 6.1 Introduction -- 6.2 Revisiting Some Hypotheses in the Basic SC Model -- 6.2.1 Backlogged Demand -- 6.2.2 Returned Orders -- 6.3 Variable Lead Times -- 6.3.1 Estimating Both Demand and Lead Times Using the Moving Average -- 6.3.2 Simulation Models -- 6.4 Order Crossover -- 6.5 Capacitated SCs -- 6.5.1 Modelling Capacity Limits -- 6.5.2 Workload-Dependent Lead Times -- 6.5.3 Combining Capacity Limitation with Load-Depending Lead Times -- 6.6 Conclusions -- 6.7 Further Readings -- References -- 7 Closed-Loop Supply Chain -- 7.1 Introduction -- 7.2 Remanufacturing Scenarios -- 7.3 Market and Remanufacturing Visibility 7.3.1 Estimating the Flow of the Returns -- 7.4 Uncertainty in the Returns -- 7.4.1 No Consideration of the Return Flow -- 7.4.2 Estimation of the Return Flow -- 7.5 Conclusions -- 7.6 Further Readings -- References -- 8 Modelling Complex SC Structures -- 8.1 Introduction -- 8.2 Several Retailers/Order Batching -- 8.2.1 Case 1: Independent Retailers -- 8.2.2 Case 2: Positively Correlated Orders -- 8.2.3 Comparing the Cases -- 8.3 Several Retailers with a Competing Market -- 8.3.1 Non-MMSE Estimations in a Competing Market -- 8.4 Conclusions -- 8.5 Further Readings -- References -- 9 Further Issues in Modelling SC Dynamics -- 9.1 Introduction -- 9.2 Financial Considerations in SC Dynamics -- 9.3 Enhanced Forms of SC Collaboration -- 9.4 Supply Chain 4.0 -- 9.5 Supply Chain Resilience and the Ripple Effect -- 9.6 Conclusions -- References -- Appendix A Useful Calculus Formulae -- A.1 Geometric Series -- A.2 Power Series -- A.3 Leibniz's Rule -- Appendix B Basic Probability Tools -- B.1 Random Variables -- B.1.0.1 Function of a RV -- B.1.1 Main Characteristics of a RV -- B.1.1.1 Expected Value -- B.1.1.2 Variance of an RV -- B.2 Random Vectors -- B.2.1 Properties of the Random Vectors -- B.2.2 Conditional Probability and Independence -- B.2.3 Law of Total Expectation -- B.2.4 Law of Total Variance -- B.2.5 Random Sum -- B.3 Independence of RVs -- B.4 Useful Distributions -- B.4.1 Bernoulli -- B.4.2 Binomial -- B.4.3 Normal -- B.4.4 Gamma -- Appendix C Time Series Basics for Demand Modelling -- C.1 Stationary Time Series -- C.1.1 AR(1) Series -- C.1.1.1 Mean, Variance and Covariance -- C.1.2 ARMA(p, q) Series -- C.2 Minimum Mean Square Estimation (MMSE) -- Index Business logistics-Mathematical models Business logistics-Management Supply Chain Management (DE-588)4684051-5 gnd rswk-swf Electronic books Supply Chain Management (DE-588)4684051-5 s DE-604 Erscheint auch als Druck-Ausgabe Framinan, Jose M. Modelling Supply Chain Dynamics Cham : Springer International Publishing AG,c2021 9783030791889 |
| spellingShingle | Framinan, Jose M. Modelling Supply Chain Dynamics Intro -- Preface -- Organisation of the Book -- Acknowledgements -- Contents -- Acronyms -- 1 Introduction to Supply Chains -- 1.1 Introduction -- 1.2 The Rise of Supply Chains -- 1.2.1 A Definition of Supply Chain -- 1.2.2 Factors Facilitating Supply Chains -- 1.2.3 Main Elements of a Supply Chain -- 1.3 New Problems, New Opportunities: The Bullwhip Effect -- 1.3.1 The Bullwhip Effect -- 1.3.2 Barriers to Overcome the Bullwhip Effect -- 1.4 Modelling Supply Chain Dynamics -- 1.5 Summary -- 1.6 Further Readings -- References -- 2 Supply Chain Management -- 2.1 Introduction -- 2.2 Main Activities in SCM: The SCOR Model -- 2.3 Demand Modelling and Forecast -- 2.3.1 Demand Modelling -- 2.3.2 Forecasting Techniques -- 2.3.3 Other Forecasting Techniques -- 2.3.4 Measuring the Error in the Estimations -- 2.3.5 MMSE Estimation -- 2.4 Source: Inventory Management -- 2.4.1 Forecasting the Demand -- 2.4.2 Estimating the On-Hand Inventory -- 2.5 Summary -- 2.6 Further Readings -- References -- 3 Supply Chain Dynamics -- 3.1 Introduction -- 3.2 The Dynamic Behaviour of a SC -- 3.3 Behavioural Causes -- 3.4 Operational Causes -- 3.5 Approaches to Mitigate the Bullwhip Effect -- 3.5.1 Behavioural Causes -- 3.5.2 Operational Causes -- 3.6 Performance Measures in SC/SCD -- 3.6.1 Measuring Order Variability -- 3.6.2 Measuring Inventory Variability -- 3.6.3 Slope Metrics -- 3.6.4 Other Metrics -- 3.7 Summary -- 3.8 Further Readings -- References -- 4 Basic Models for SC Dynamics -- 4.1 Introduction -- 4.2 The Role of Modelling in OM/SCM -- 4.3 Elements of a Basic Supply Chain Model -- 4.4 Measuring the Bullwhip Effect -- 4.5 Putting All Pieces Together -- 4.5.1 Inventory Update -- 4.5.2 Work in process Update -- 4.5.3 Issuing the Order -- 4.5.4 Demand Estimates -- 4.5.5 A Simple Simulation Model -- 4.6 The Model at Supply Chain Level 4.6.1 An Expression of the BWE for a Two- and Three-Echelon SC -- 4.7 Implications of the Model: The Causes of Bullwhip Effect Revisited -- 4.8 Summary -- 4.9 Further Readings -- References -- 5 The Effect of the Quality of Information in SCD -- 5.1 Introduction -- 5.2 Information Sharing -- 5.2.1 Expressing the Orders as a Function of the Customer Demand -- 5.2.2 Expressing the Orders Across the Supplier Lead Time as a Function of the Customer Demand -- 5.2.3 Orders Average and Standard Deviation for the No Info Sharing Scenario -- 5.2.4 Orders Average and Standard Deviation for the Info Sharing Scenario -- 5.2.5 The Impact of Information Sharing on Inventory -- 5.2.6 Using Past Orders to Forecast Demand -- 5.3 The Effect of Information Timeliness -- 5.3.1 Demand Estimate with Time-Lagged Data -- 5.3.2 The Error When Estimating with Time-Lagged Data -- 5.3.3 The Bullwhip Effect with Time-Lagged Data -- 5.4 Inaccuracies in the Inventory Information (IRI) -- 5.4.1 Shrinkage -- 5.4.2 Product Misplacement -- 5.4.3 Transaction Errors -- 5.5 Advance Demand Information -- 5.5.1 Perfect ADI in Make-to-Stock SCs -- 5.5.2 The Case of Imperfect ADI -- 5.6 Conclusions -- 5.7 Further Readings -- References -- 6 Enriching SC Models -- 6.1 Introduction -- 6.2 Revisiting Some Hypotheses in the Basic SC Model -- 6.2.1 Backlogged Demand -- 6.2.2 Returned Orders -- 6.3 Variable Lead Times -- 6.3.1 Estimating Both Demand and Lead Times Using the Moving Average -- 6.3.2 Simulation Models -- 6.4 Order Crossover -- 6.5 Capacitated SCs -- 6.5.1 Modelling Capacity Limits -- 6.5.2 Workload-Dependent Lead Times -- 6.5.3 Combining Capacity Limitation with Load-Depending Lead Times -- 6.6 Conclusions -- 6.7 Further Readings -- References -- 7 Closed-Loop Supply Chain -- 7.1 Introduction -- 7.2 Remanufacturing Scenarios -- 7.3 Market and Remanufacturing Visibility 7.3.1 Estimating the Flow of the Returns -- 7.4 Uncertainty in the Returns -- 7.4.1 No Consideration of the Return Flow -- 7.4.2 Estimation of the Return Flow -- 7.5 Conclusions -- 7.6 Further Readings -- References -- 8 Modelling Complex SC Structures -- 8.1 Introduction -- 8.2 Several Retailers/Order Batching -- 8.2.1 Case 1: Independent Retailers -- 8.2.2 Case 2: Positively Correlated Orders -- 8.2.3 Comparing the Cases -- 8.3 Several Retailers with a Competing Market -- 8.3.1 Non-MMSE Estimations in a Competing Market -- 8.4 Conclusions -- 8.5 Further Readings -- References -- 9 Further Issues in Modelling SC Dynamics -- 9.1 Introduction -- 9.2 Financial Considerations in SC Dynamics -- 9.3 Enhanced Forms of SC Collaboration -- 9.4 Supply Chain 4.0 -- 9.5 Supply Chain Resilience and the Ripple Effect -- 9.6 Conclusions -- References -- Appendix A Useful Calculus Formulae -- A.1 Geometric Series -- A.2 Power Series -- A.3 Leibniz's Rule -- Appendix B Basic Probability Tools -- B.1 Random Variables -- B.1.0.1 Function of a RV -- B.1.1 Main Characteristics of a RV -- B.1.1.1 Expected Value -- B.1.1.2 Variance of an RV -- B.2 Random Vectors -- B.2.1 Properties of the Random Vectors -- B.2.2 Conditional Probability and Independence -- B.2.3 Law of Total Expectation -- B.2.4 Law of Total Variance -- B.2.5 Random Sum -- B.3 Independence of RVs -- B.4 Useful Distributions -- B.4.1 Bernoulli -- B.4.2 Binomial -- B.4.3 Normal -- B.4.4 Gamma -- Appendix C Time Series Basics for Demand Modelling -- C.1 Stationary Time Series -- C.1.1 AR(1) Series -- C.1.1.1 Mean, Variance and Covariance -- C.1.2 ARMA(p, q) Series -- C.2 Minimum Mean Square Estimation (MMSE) -- Index Business logistics-Mathematical models Business logistics-Management Supply Chain Management (DE-588)4684051-5 gnd |
| subject_GND | (DE-588)4684051-5 |
| title | Modelling Supply Chain Dynamics |
| title_auth | Modelling Supply Chain Dynamics |
| title_exact_search | Modelling Supply Chain Dynamics |
| title_exact_search_txtP | Modelling Supply Chain Dynamics |
| title_full | Modelling Supply Chain Dynamics |
| title_fullStr | Modelling Supply Chain Dynamics |
| title_full_unstemmed | Modelling Supply Chain Dynamics |
| title_short | Modelling Supply Chain Dynamics |
| title_sort | modelling supply chain dynamics |
| topic | Business logistics-Mathematical models Business logistics-Management Supply Chain Management (DE-588)4684051-5 gnd |
| topic_facet | Business logistics-Mathematical models Business logistics-Management Supply Chain Management |
| work_keys_str_mv | AT framinanjosem modellingsupplychaindynamics |