Logistics management: an analytics-based approach
Chapter 1. Introduction -- Part I. Integrated inventory and transportation mode decision making. Chapter 2. Integrating long-term transport mode selection into overall network planning ; Chapter 3. Logistics transport mode decision making ; Chapter 4 Sensitivity analysis -- Part II. Logistics decisi...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, New York (222 East 46th Street, New York, NY 10017)
Business Expert Press
2020
|
| Ausgabe: | First edition |
| Schriftenreihe: | Supply and operations management collection
|
| Schlagworte: | |
| Online-Zugang: | DE-92 DE-706 Volltext |
| Zusammenfassung: | Chapter 1. Introduction -- Part I. Integrated inventory and transportation mode decision making. Chapter 2. Integrating long-term transport mode selection into overall network planning ; Chapter 3. Logistics transport mode decision making ; Chapter 4 Sensitivity analysis -- Part II. Logistics decision support. Chapter 5. Introduction ; Chapter 6. Manufacturing and distribution decision support ; Chapter 7. Inventory management decision support ; Chapter 8. Incorporating feedback loops into logistics decision support ; Chapter 9 Using activity-based costing in logistics decision support -- Part III. Metrics and techniques for logistics monitoring and control. Chapter 10. Introduction ; Chapter 11. Illustrative logistics performance frameworks ; Chapter 12. Creating customized indices to monitor logistics operations ; Chapter 13 Techniques for monitoring day-to-day transportation decisions ; Chapter 14. Final thoughts on logistics analytics and decision support As we head into the ever-more globalized world of the 2020s, the critical role that logistics planning and operations plays in ensuring a firm's financial well-being escalates in importance almost daily. Furthermore,the role of analytics in guiding both logistics planning and operationalactivities has spiked dramatically in the last decade, and this exponential growth shows no sign of slackening. As the phenomenon of Big Data has taken hold in the private sector, firms that as recently as 10 years ago devoted minimal resources to large-scale data mining and analytics have reversed course and invested heavily in data analytics. In this environment, logistics professionals must have at their disposal, and must understand how to utilize, a broad array of analytic techniques and approaches to logistics decision making. Effective use of analytics requires a strong understanding of both fundamental and advanced logistics decision-making techniques and methodologies. Further, logistics professionals must organize and view these analytics-based decision support tools through well-structured planning frameworks. In this book, based on more than 25 years of logistics industry practice, we illustrate and explain a wide range of practical logistics strategies and analytic techniques to facilitate decision making across functions such as manufacturing, warehousing, transportation, and inventory management. Further, we also describe how to organize these analytics-based tools and strategies through logistics frameworks that span strategic, tactical, and operational planning and scheduling decisions.This book is intended for logistics professionals to use as a reference document that offers ideas and guidance for addressing specific logistics management decisions and challenges. |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | 1 Online-Ressource (185 pages) |
| ISBN: | 9781949443851 9781949443844 |
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| 520 | |a Chapter 1. Introduction -- Part I. Integrated inventory and transportation mode decision making. Chapter 2. Integrating long-term transport mode selection into overall network planning ; Chapter 3. Logistics transport mode decision making ; Chapter 4 Sensitivity analysis -- Part II. Logistics decision support. Chapter 5. Introduction ; Chapter 6. Manufacturing and distribution decision support ; Chapter 7. Inventory management decision support ; Chapter 8. Incorporating feedback loops into logistics decision support ; Chapter 9 Using activity-based costing in logistics decision support -- Part III. Metrics and techniques for logistics monitoring and control. Chapter 10. Introduction ; Chapter 11. Illustrative logistics performance frameworks ; Chapter 12. Creating customized indices to monitor logistics operations ; Chapter 13 Techniques for monitoring day-to-day transportation decisions ; Chapter 14. Final thoughts on logistics analytics and decision support | ||
| 520 | |a As we head into the ever-more globalized world of the 2020s, the critical role that logistics planning and operations plays in ensuring a firm's financial well-being escalates in importance almost daily. Furthermore,the role of analytics in guiding both logistics planning and operationalactivities has spiked dramatically in the last decade, and this exponential growth shows no sign of slackening. As the phenomenon of Big Data has taken hold in the private sector, firms that as recently as 10 years ago devoted minimal resources to large-scale data mining and analytics have reversed course and invested heavily in data analytics. In this environment, logistics professionals must have at their disposal, and must understand how to utilize, a broad array of analytic techniques and approaches to logistics decision making. Effective use of analytics requires a strong understanding of both fundamental and advanced logistics decision-making techniques and methodologies. | ||
| 520 | |a Further, logistics professionals must organize and view these analytics-based decision support tools through well-structured planning frameworks. In this book, based on more than 25 years of logistics industry practice, we illustrate and explain a wide range of practical logistics strategies and analytic techniques to facilitate decision making across functions such as manufacturing, warehousing, transportation, and inventory management. Further, we also describe how to organize these analytics-based tools and strategies through logistics frameworks that span strategic, tactical, and operational planning and scheduling decisions.This book is intended for logistics professionals to use as a reference document that offers ideas and guidance for addressing specific logistics management decisions and challenges. | ||
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| dewey-ones | 658 - General management |
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| dewey-search | 658.5 |
| dewey-sort | 3658.5 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| discipline_str_mv | Wirtschaftswissenschaften |
| edition | First edition |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:44:55Z |
| indexdate | 2024-07-20T04:39:27Z |
| institution | BVB |
| isbn | 9781949443851 9781949443844 |
| language | English |
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| publisher | Business Expert Press |
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| spelling | Miller, Tan C. 1954- Verfasser aut Logistics management an analytics-based approach Tan Miller, Matthew J. Liberatore First edition New York, New York (222 East 46th Street, New York, NY 10017) Business Expert Press 2020 1 Online-Ressource (185 pages) txt rdacontent c rdamedia cr rdacarrier Supply and operations management collection Includes bibliographical references and index Chapter 1. Introduction -- Part I. Integrated inventory and transportation mode decision making. Chapter 2. Integrating long-term transport mode selection into overall network planning ; Chapter 3. Logistics transport mode decision making ; Chapter 4 Sensitivity analysis -- Part II. Logistics decision support. Chapter 5. Introduction ; Chapter 6. Manufacturing and distribution decision support ; Chapter 7. Inventory management decision support ; Chapter 8. Incorporating feedback loops into logistics decision support ; Chapter 9 Using activity-based costing in logistics decision support -- Part III. Metrics and techniques for logistics monitoring and control. Chapter 10. Introduction ; Chapter 11. Illustrative logistics performance frameworks ; Chapter 12. Creating customized indices to monitor logistics operations ; Chapter 13 Techniques for monitoring day-to-day transportation decisions ; Chapter 14. Final thoughts on logistics analytics and decision support As we head into the ever-more globalized world of the 2020s, the critical role that logistics planning and operations plays in ensuring a firm's financial well-being escalates in importance almost daily. Furthermore,the role of analytics in guiding both logistics planning and operationalactivities has spiked dramatically in the last decade, and this exponential growth shows no sign of slackening. As the phenomenon of Big Data has taken hold in the private sector, firms that as recently as 10 years ago devoted minimal resources to large-scale data mining and analytics have reversed course and invested heavily in data analytics. In this environment, logistics professionals must have at their disposal, and must understand how to utilize, a broad array of analytic techniques and approaches to logistics decision making. Effective use of analytics requires a strong understanding of both fundamental and advanced logistics decision-making techniques and methodologies. Further, logistics professionals must organize and view these analytics-based decision support tools through well-structured planning frameworks. In this book, based on more than 25 years of logistics industry practice, we illustrate and explain a wide range of practical logistics strategies and analytic techniques to facilitate decision making across functions such as manufacturing, warehousing, transportation, and inventory management. Further, we also describe how to organize these analytics-based tools and strategies through logistics frameworks that span strategic, tactical, and operational planning and scheduling decisions.This book is intended for logistics professionals to use as a reference document that offers ideas and guidance for addressing specific logistics management decisions and challenges. Business logistics Industrial management Electronic books Liberatore, Matthew J. 1950- aut Erscheint auch als Druck-Ausgabe 9781949443844 https://portal.igpublish.com/iglibrary/search/BEPB0000972.html Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Miller, Tan C. 1954- Liberatore, Matthew J. 1950- Logistics management an analytics-based approach Business logistics Industrial management |
| title | Logistics management an analytics-based approach |
| title_auth | Logistics management an analytics-based approach |
| title_exact_search | Logistics management an analytics-based approach |
| title_exact_search_txtP | Logistics management an analytics-based approach |
| title_full | Logistics management an analytics-based approach Tan Miller, Matthew J. Liberatore |
| title_fullStr | Logistics management an analytics-based approach Tan Miller, Matthew J. Liberatore |
| title_full_unstemmed | Logistics management an analytics-based approach Tan Miller, Matthew J. Liberatore |
| title_short | Logistics management |
| title_sort | logistics management an analytics based approach |
| title_sub | an analytics-based approach |
| topic | Business logistics Industrial management |
| topic_facet | Business logistics Industrial management |
| url | https://portal.igpublish.com/iglibrary/search/BEPB0000972.html |
| work_keys_str_mv | AT millertanc logisticsmanagementananalyticsbasedapproach AT liberatorematthewj logisticsmanagementananalyticsbasedapproach |