| Pubbl/distr/stampa |
Cham, Switzerland : , : Springer, , [2021]
|
| Descrizione fisica |
1 online resource (288 pages) : illustrations (some color)
|
| Disciplina |
658.7
|
| Collana |
International Series in Operations Research & Management Science
|
| Soggetto topico |
Business logistics
|
| ISBN |
3-030-69265-5
|
| Formato |
Materiale a stampa  |
| Livello bibliografico |
Monografia |
| Lingua di pubblicazione |
eng
|
| Nota di contenuto |
Intro -- Preface -- Book Overview -- Chapter Summaries -- Acknowledgments -- Contents -- Contributors -- An Overview of Decisions, Performance and Analytics in Supply Chain Management -- 1 Overview of Supply Chain -- 2 Supply Chain Decision Levels -- 2.1 Strategic -- 2.2 Tactical -- 2.3 Operational -- 3 Supply Chain Enablers and Drivers -- 4 Types of Supply Chain -- 4.1 Responsive Supply Chain -- 4.2 Efficient Supply Chain -- 4.3 Resilient Supply Chain -- 4.4 Humanitarian Supply Chain -- 4.5 Green Supply Chain -- 4.6 Sustainable Supply Chain -- 5 Impact of Industry 4.0 on Supply Chain -- References -- Intelligent Digital Supply Chains -- 1 Introduction -- 2 Digital Supply Chains -- 2.1 Challenges in Digital Supply Chain -- 2.2 Business Processes Evolution and Trends in Digital Supply Chain -- 2.3 New Business Models Enabled by Digital Supply Chain -- 2.4 Design-to-Operate Business Process -- 3 Intelligent Visibility in Supply Chain Networks -- 3.1 Challenges Achieving End-to-End Visibility -- 3.2 Benefits of Having Visibility in Digital Supply Chain Include -- 4 Global and Local Control Towers Providing Global E2E Visibility -- 5 Next-Generation Supply Chain Analytics -- 5.1 Common Analytical Charts Relevant for Supply Chain -- 5.2 Business User Friendly Self-Service Analytics -- 6 Supply Chain Alerts and Exception Management -- 7 Insight to Action -- 8 Supply Chain Key Performance Indicators -- 9 Cognitive Supply Chains Enabled by Technologies in Industry 4.0 -- 10 Resilient Supply Chains -- 11 Collaborative Enterprise Planning: Integrated Supply Chain and Financial Planning -- References -- Product Life Cycle Optimization Model for Closed Loop Supply Chain Network Design -- 1 Introduction -- 2 Literature Review -- 2.1 Product Life Cycle Dynamics -- 2.2 Consumer Perception of Remanufactured Products -- 2.3 Demand Cannibalization.
2.4 Pricing Under Remanufacturing -- 3 Methodology -- 3.1 Product Life Cycle Optimization Model for CLSC -- 3.2 Product Life Cycle Optimization Model (PLCOM) for CLSC -- 3.3 Assumptions of the Integrated Optimization Model -- 3.4 Optimization Model -- 3.5 Case Study Applying PLCOM to Design Supply Chain Network for iPhone -- Problem Description -- Problem Size -- Solution and discussion -- 3.6 Illustration of Profit Reduction due to CLSC Network Design in Sequential Manner -- 3.7 Sensitivity Analysis -- Optimal Time Period to Introduce Remanufactured Product in the Market -- Impact on Profits -- Impact on Shortages -- Impact on New and Remanufactured Product Sales -- Impact on First-Time and Repeat Sales -- 3.8 Sensitivity Analysis -- Impact on the Supply Chain Network -- 3.9 Characterization of Slow and Fast Diffusing Products -- Impact on Profit and Network Design -- Impact on New and Remanufactured Product Sales -- Impact on First-Time Sales, Repeat Sales and Shortage -- 3.10 Incentivizing Consumers to Improve the Quality of Returns -- 4 Conclusions -- Appendices -- Appendix 1 -- Pricing Model -- Appendix 2 -- Demand Model -- Demand Equations -- Appendix 3 -- Integration of Pricing and Demand Models -- Appendix 4 -- References -- Supply Chain Risk Management in Indian Manufacturing Industries: An Empirical Study and a Fuzzy Approach -- 1 Background and Motivation -- 2 Literature Review -- 2.1 Critical Factors for SCRM -- Description of the Construct of SCRM: Manufacturer's Perspective -- Conceptual Framework -- 2.2 Fuzzy Cognitive Map (FCM) and Its Applications in the Present Study: An Overview -- Risk Modeling: Graph Theory Approach -- Basics of Fuzzy Cognitive Maps -- The Proposed Model: Mapping Supply Chain Risks and Mitigation Strategies -- Construction of FCM -- Prediction of Future Risks Based on the Current State of Risk Observance.
Identification and Effectiveness of Mitigation Strategy for Risk During the Run -- 2.3 Fuzzy TOPSIS Approach -- 2.4 Research Gaps, Hypotheses and Contributions -- 3 Methods -- 3.1 Data Description -- 3.2 Survey Description -- 3.3 Scales Used to Measure the Latent Variables -- 3.4 Construction of FCM for SCRM -- 3.5 Statistical Analysis -- Empirical Validation of the Proposed SCRM Constructs -- Reliability and Validity Tests -- 4 Results -- 4.1 Factor Loadings -- 4.2 Sobel Test for Mediation -- 4.3 Bivariate Correlation Between the Constructs -- 4.4 FCM Results -- 4.5 Fuzzy TOPSIS Approach -- 5 Discussion (Managerial and Theoretical Implications) -- 5.1 Validation of the Proposed Conceptual Framework -- Inference from the Empirical Study -- Implications for Practitioners -- Suggestions and Recommendations for Policy Makers -- 5.2 Results of Application of FCM to SCRM -- 5.3 Comparison of the Proposed FCM and Fuzzy TOPSIS Model -- 6 Conclusions -- References -- Improving Service Supply Chain of Internet Services by Analyzing Online Customer Reviews -- 1 Introduction -- 2 Literature Review -- 2.1 Wireless Service Providers -- 2.2 Electronic Word of Mouth (eWOM) -- 3 Methodology -- 3.1 Web Scraping and Text Pre-Processing -- 3.2 Topic Identification Using Bigrams and Trigrams Analyses -- 3.3 SWOT Strategic Planning Using Bigrams and Trigrams Analyses -- 4 Case Study -- 4.1 Data Description -- 4.2 Experimental Results -- 4.3 SWOT Analysis -- 4.4 Link and Root Cause Analyses -- 4.5 Managerial Implications -- 5 Conclusions -- References -- An Integrated Problem of Production Scheduling and Transportation in a Two-Stage Supply Chain with Carbon Emission Consideration -- 1 Introduction -- 2 Literature Review -- 3 Problem Description -- 4 Development of the Proposed Mixed Integer Linear Programming Model -- 5 A Numerical Example.
6 Computational Experimentation -- 7 Summary -- References -- A Simulation-Based Evaluation of Drone Integrated Delivery Strategies for Improving Pharmaceutical Service -- 1 Introduction -- 2 Literature Review -- 3 Problem Statement -- 4 Methodology -- 4.1 System Description -- 4.2 Sequence of Events -- 4.3 Data Collection and Analysis -- 4.4 Model Parameters -- 5 Discrete Event Simulation -- 5.1 Verification and Validation -- Validation -- 6 Alternative Scenarios -- 6.1 Scenario 1: Truck-Only -- 6.2 Scenario 2: Truck-Tandem -- 6.3 Scenario 3: Drone-Only -- 7 Results -- 7.1 Scenario 1: Truck-Only -- 7.2 Scenario 2: Truck-Tandem -- 7.3 Scenario 3: Drone-Only -- 7.4 Comparable Results -- 7.5 Sensitivity Analysis -- 7.6 Discussion -- 7.7 Managerial Implications -- 8 Conclusion and Future Work -- References -- Pro-Active Strategies in Online Routing -- 1 Introduction -- 2 A Reactive Real-Time Approach -- 3 Exploiting Past Request Data and Building the Stochastic Knowledge -- 3.1 Derivation of Stochastic Knowledge by Applying a Specifically Designed Cluster Analysis -- 3.2 Ensuring Two Further Cluster Quality Criteria -- 3.3 Selection of the Clusters -- 4 Transforming the Reactive Real-Time Approach into a Pro-active One -- 5 Computational Evaluation -- 5.1 Generating the Instances of the Data Class SGEN -- 5.2 Measured Results for the Instances of the Data Class SREAL -- 5.3 Measured Results for the Instances of the Data Class SGEN -- 6 Efficiently Controlling en Route Diversions -- 7 Identifying Multiple Profiles in the Past Request Data -- 8 Brief Summary -- References -- Prescriptive Analytics for Dynamic Real Time Scheduling of Diffusion Furnaces -- 1 Introduction -- 2 Problem Description and Assumption -- 3 Related Literature Review -- 4 Mathematical Model for Dynamic Scheduling of Diffusion Furnaces -- 4.1 (0-1) MILP Model for DS-SDF.
4.2 (0-1) MILP Model for DS-NPDF-MER -- 5 ATC Based GHA for Scheduling Diffusion Furnaces -- 5.1 ATC-GHA for DRTS of SDF -- 5.2 ATC-GHA for DRTS for NPDF-MER -- 6 Performance Evaluation of ATC-GHA for DRTS of Diffusion Furnaces -- 6.1 Empirical Analyses on the Performance of ATC-GHA for DRTS of Diffusion Furnaces -- 6.2 Statistical Analyses on the Performance of ATC-GHA for DRTS of Diffusion Furnaces -- 7 Conclusion -- References.
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| Record Nr. | UNINA-9910488724203321 |
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