|
|
|
|
| LEADER |
06983nmm a2200577 u 4500 |
| 001 |
EB002067025 |
| 003 |
EBX01000000000000001207115 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
220922 ||| eng |
| 020 |
|
|
|a 9781466583320
|
| 020 |
|
|
|a 1439811997
|
| 020 |
|
|
|a 1466563842
|
| 020 |
|
|
|a 1466583320
|
| 020 |
|
|
|a 9781466563841
|
| 020 |
|
|
|a 9781439811993
|
| 020 |
|
|
|a 1439811989
|
| 050 |
|
4 |
|a HD38.5
|
| 100 |
1 |
|
|a Ravindran, A.
|
| 245 |
0 |
0 |
|a Supply chain engineering
|b models and applications
|c A. Ravi Ravindran, Donald P. Warsing, Jr
|
| 260 |
|
|
|a Boca Raton, FL
|b Taylor & Francis
|c 2013
|
| 300 |
|
|
|a xxiv, 508 pages
|b illustrations
|
| 505 |
0 |
|
|a Includes bibliographical references
|
| 505 |
0 |
|
|a Process; Aggregate Planning Problem; Linear Programming Model for Aggregate Planning; Nonlinear Programming Model for Aggregate Planning; Aggregate Planning as a Transportation Problem; Aggregate Planning Strategies: A Comparison; Summary and Further Readings; Replenishment (CPFR); Exercises; References; ; Inventory Management Methods and Models; Decision Framework for Inventory Management; Some Preliminary Modeling Issues; Single-Item, Single-Period Problem: The Newsvendor; Single-Item
|
| 505 |
0 |
|
|a Methods; Supplier Selection Problem; Supplier Selection Methods; Multi-Criteria Ranking Methods for Supplier Selection; Multi-Objective Supplier Allocation Model; Summary and Further Readings; Exercises; References; ; Managing Risks in Supply Chain; Supply Chain Risk; Real World Risk Events and Their Impacts; Sources of Supply Chain Risks; Risk Identification; Risk Assessment; Risk Management; Best Industry Practices in Risk Management; Risk Quantification Models; Value-at-Risk (VaR) Models; Miss-the-Target (MtT) Risk Models; Risk Measures; Combining VaR and MtT Type Risks; Risk Detectability and Risk Recovery; Multiple Criteria Optimization Models for Supplier Selection Incorporating Risk; Summary and Further Readings; Exercises; Acknowledgments; References; ; Global Supply Chain Management; History of Globalization; Impacts of Globalization; Global Sourcing; International
|
| 505 |
0 |
|
|a Multi-Period Problems; Multi-Item Inventory Models; Multi-Echelon Inventory Systems; Conclusions; Further Readings; A Appendix: The Bullwhip Effect; References; Exercises; References; ; Transportation Decisions in Supply Chain Management; Introduction; Motor Carrier Freight: Truckload Mode; Accounting for Goods in transit; Stepping Back: Freight Transportation Overview; More General Models of Freight Rates; Building A Rate Model: LTL Service; A More General Rate Model for LTL Service; Beyond Truck Transport: Rail and Air Cargo; Conclusion; Further Readings; Exercises; References; ; Location and Distribution Decisions in Supply Chains; Modeling with Binary Variables; Supply Chain Network Optimization; Risk Pooling or Inventory Consolidation; Continuous Location Models; Real-World Applications; Summary and Further Readings; Exercises; References; ; Supplier Selection Models and
|
| 505 |
0 |
|
|a Logistics; Designing a Resilient Global Supply Chain: A Case Study; Summary and Further Readings; Exercises; Questions; References; Appendix A: Multiple Criteria Decision Making: An Overview; Index
|
| 505 |
0 |
|
|a Introduction to Supply Chain Engineering; Understanding Supply Chains; Flows in Supply Chains; Meaning of Supply Chain Engineering; Supply Chain Decisions; Enablers and Drivers of Supply Chain Performance; Assessing and Managing Supply Chain Performance; Relationship between Supply Chain and Financial Metrics; Importance of Supply Chain Management; Organization of the Textbook; Summary and Further Readings; Exercises; References; ; Planning Production in Supply Chains; Role of Demand Forecasting in Supply Chain Management; Forecasting Process; Qualitative Forecasting Methods; Quantitative Forecasting Methods; Incorporating Seasonality in Forecasting; Incorporating Trend in Forecasting; Incorporating Seasonality and Trend in Forecasting; Forecasting for Multiple Periods; Forecasting Errors; Monitoring Forecast Accuracy; Forecasting Software; Forecasting in Practice; Production Planning
|
| 653 |
|
|
|a Industrial management / Mathematical models / http://id.loc.gov/authorities/subjects/sh85065894
|
| 653 |
|
|
|a Logistique (Organisation) / Modèles mathématiques
|
| 653 |
|
|
|a Business logistics / Mathematical models / fast
|
| 653 |
|
|
|a Business logistics / Mathematical models
|
| 653 |
|
|
|a BUSINESS & ECONOMICS / Purchasing & Buying / bisacsh
|
| 653 |
|
|
|a Industrial management / Mathematical models / fast
|
| 653 |
|
|
|a Gestion d'entreprise / Modèles mathématiques
|
| 653 |
|
|
|a TECHNOLOGY & ENGINEERING / Operations Research / bisacsh
|
| 653 |
|
|
|a TECHNOLOGY & ENGINEERING / Engineering (General) / bisacsh
|
| 700 |
1 |
|
|a Warsing, Donald Paul
|e author
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b OREILLY
|a O'Reilly
|
| 490 |
0 |
|
|a The operations research series
|
| 776 |
|
|
|z 1439811989
|
| 776 |
|
|
|z 9781439811986
|
| 776 |
|
|
|z 9781439811986
|
| 856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9781439811986/?ar
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 658.5
|
| 082 |
0 |
|
|a 670
|
| 082 |
0 |
|
|a 330
|
| 082 |
0 |
|
|a 658
|
| 082 |
0 |
|
|a 620
|
| 520 |
|
|
|a "Preface This book emphasizes a quantitative approach to solving problems related to designing and operating supply chains. Importantly, though, it is not so "micro" in its focus that the perspective on the larger business problems is lost, nor is it so "macro" in its treatment of that business context that it fails to develop students' appreciation for, and skills to solve, the tactical problems that must be addressed in effectively managing flows of goods in supply chains. Economists often speak of the need to understand "first principles" before one can understand and solve larger problems. We share that view, and we have therefore structured the book to provide a grounding in the "first principles" relevant to the broad and challenging problem of managing a supply chain that spans the globe. We feel strongly that students of supply chain engineering are best served by first developing a solid understanding of, and a quantitative toolkit for, tactical decision making in areas such as demand forecasting, inventory management, and transportation management--in both an intrafirm and firm-to-firm (dyadic) context--before making any attempt to "optimize the supply chain," a task that is clearly much easier said than done, or to optimize large swaths of any given supply chain. Still, the idea of optimization is indeed prevalent throughout the book. This book is careful and deliberate in its approach to supply chain optimization. Indeed, the perspective taken is one that is well known to engineers of all types, namely, the perspective of design. Engineers design things. Some engineers design discrete physical items, and some design collections of items that operate together as systems"--
|