Introduction to supply chain analytics: with examples in AnyLogic and anyLogistix software
The book offers a concise yet comprehensive introduction to supply chain analytics covering management, modeling, and technology perspectives. Designed to accompany the textbook "Global Supply Chain and Operations Management", it addresses the topics of supply chain analytics in more depth...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Cham, Switzerland
Springer
[2024]
|
| Schriftenreihe: | Classroom companion: business
|
| Schlagwörter: | |
| Links: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=035105196&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| Zusammenfassung: | The book offers a concise yet comprehensive introduction to supply chain analytics covering management, modeling, and technology perspectives. Designed to accompany the textbook "Global Supply Chain and Operations Management", it addresses the topics of supply chain analytics in more depth. The book describes descriptive, predictive, and prescriptive supply chain analytics explaining methodologies, illustrating method applications with the use of training exercises, and providing numerous examples in AnyLogic and anyLogistix software. Throughout the book, numerous practical examples and short case studies are given to illustrate theoretical concepts. Along with AnyLogic and anyLogistix model development guidelines and examples, the book has two other distinct features. First, it reviews and explains novel frameworks and concepts related to data-driven decision-making and digital twins. Second, it shows how to use analytics to improve supply chain resilience. Without relying heavily on mathematical derivations, the book offers a structured presentation and explanation of major supply chain analytics techniques and principles in a simple, predictable format to make it easy to understand for students and professionals with both management and engineering backgrounds. Graduate/Ph.D. students and supply chain professionals alike would benefit from a structured and didactically-oriented concise presentation of the concepts, principles, and methods of supply chain analytics. Providing graduate students and supply chain managers with working knowledge of basic and advanced supply chain analytics, this book contributes to improving knowledge-awareness of decision-making in increasingly data-driven and digital environments. The book is supplemented by a companion website offering interactive exercises with the use of AnyLogic and anyLogistix software as well as Spreadsheet Modeling |
| Umfang: | XI, 167 Seiten Illustrationen, Diagramme |
| ISBN: | 9783031512407 |
Internformat
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| 245 | 1 | 0 | |a Introduction to supply chain analytics |b with examples in AnyLogic and anyLogistix software |c Dmitry Ivanov |
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| 300 | |a XI, 167 Seiten |b Illustrationen, Diagramme | ||
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| 490 | 0 | |a Classroom companion: business | |
| 505 | 8 | |a Analytics and model-based decision-making support -- Demand Forecasting, Production Planning and Inventory Control -- Discrete-Event Simulation of manufacturing processes and inventory control -- Facility location planning and network optimization -- Supply chain risk and resilience analytics | |
| 520 | |a The book offers a concise yet comprehensive introduction to supply chain analytics covering management, modeling, and technology perspectives. Designed to accompany the textbook "Global Supply Chain and Operations Management", it addresses the topics of supply chain analytics in more depth. The book describes descriptive, predictive, and prescriptive supply chain analytics explaining methodologies, illustrating method applications with the use of training exercises, and providing numerous examples in AnyLogic and anyLogistix software. Throughout the book, numerous practical examples and short case studies are given to illustrate theoretical concepts. Along with AnyLogic and anyLogistix model development guidelines and examples, the book has two other distinct features. First, it reviews and explains novel frameworks and concepts related to data-driven decision-making and digital twins. Second, it shows how to use analytics to improve supply chain resilience. Without relying heavily on mathematical derivations, the book offers a structured presentation and explanation of major supply chain analytics techniques and principles in a simple, predictable format to make it easy to understand for students and professionals with both management and engineering backgrounds. Graduate/Ph.D. students and supply chain professionals alike would benefit from a structured and didactically-oriented concise presentation of the concepts, principles, and methods of supply chain analytics. Providing graduate students and supply chain managers with working knowledge of basic and advanced supply chain analytics, this book contributes to improving knowledge-awareness of decision-making in increasingly data-driven and digital environments. The book is supplemented by a companion website offering interactive exercises with the use of AnyLogic and anyLogistix software as well as Spreadsheet Modeling | ||
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| author | Ivanov, Dmitry 1978- |
| author_GND | (DE-588)131871692 |
| author_facet | Ivanov, Dmitry 1978- |
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| author_sort | Ivanov, Dmitry 1978- |
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| bvnumber | BV049763845 |
| classification_rvk | QP 530 |
| contents | Analytics and model-based decision-making support -- Demand Forecasting, Production Planning and Inventory Control -- Discrete-Event Simulation of manufacturing processes and inventory control -- Facility location planning and network optimization -- Supply chain risk and resilience analytics |
| ctrlnum | (OCoLC)1443590207 (DE-599)BVBBV049763845 |
| discipline | Wirtschaftswissenschaften |
| format | Book |
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| id | DE-604.BV049763845 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T20:21:16Z |
| institution | BVB |
| isbn | 9783031512407 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035105196 |
| oclc_num | 1443590207 |
| open_access_boolean | |
| owner | DE-1050 DE-355 DE-BY-UBR |
| owner_facet | DE-1050 DE-355 DE-BY-UBR |
| physical | XI, 167 Seiten Illustrationen, Diagramme |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | Springer |
| record_format | marc |
| series2 | Classroom companion: business |
| spelling | Ivanov, Dmitry 1978- Verfasser (DE-588)131871692 aut Introduction to supply chain analytics with examples in AnyLogic and anyLogistix software Dmitry Ivanov Cham, Switzerland Springer [2024] XI, 167 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Classroom companion: business Analytics and model-based decision-making support -- Demand Forecasting, Production Planning and Inventory Control -- Discrete-Event Simulation of manufacturing processes and inventory control -- Facility location planning and network optimization -- Supply chain risk and resilience analytics The book offers a concise yet comprehensive introduction to supply chain analytics covering management, modeling, and technology perspectives. Designed to accompany the textbook "Global Supply Chain and Operations Management", it addresses the topics of supply chain analytics in more depth. The book describes descriptive, predictive, and prescriptive supply chain analytics explaining methodologies, illustrating method applications with the use of training exercises, and providing numerous examples in AnyLogic and anyLogistix software. Throughout the book, numerous practical examples and short case studies are given to illustrate theoretical concepts. Along with AnyLogic and anyLogistix model development guidelines and examples, the book has two other distinct features. First, it reviews and explains novel frameworks and concepts related to data-driven decision-making and digital twins. Second, it shows how to use analytics to improve supply chain resilience. Without relying heavily on mathematical derivations, the book offers a structured presentation and explanation of major supply chain analytics techniques and principles in a simple, predictable format to make it easy to understand for students and professionals with both management and engineering backgrounds. Graduate/Ph.D. students and supply chain professionals alike would benefit from a structured and didactically-oriented concise presentation of the concepts, principles, and methods of supply chain analytics. Providing graduate students and supply chain managers with working knowledge of basic and advanced supply chain analytics, this book contributes to improving knowledge-awareness of decision-making in increasingly data-driven and digital environments. The book is supplemented by a companion website offering interactive exercises with the use of AnyLogic and anyLogistix software as well as Spreadsheet Modeling Supply chain management Erscheint auch als Online-Ausgabe 978-3-031-51241-4 Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=035105196&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Ivanov, Dmitry 1978- Introduction to supply chain analytics with examples in AnyLogic and anyLogistix software Analytics and model-based decision-making support -- Demand Forecasting, Production Planning and Inventory Control -- Discrete-Event Simulation of manufacturing processes and inventory control -- Facility location planning and network optimization -- Supply chain risk and resilience analytics Supply chain management |
| title | Introduction to supply chain analytics with examples in AnyLogic and anyLogistix software |
| title_auth | Introduction to supply chain analytics with examples in AnyLogic and anyLogistix software |
| title_exact_search | Introduction to supply chain analytics with examples in AnyLogic and anyLogistix software |
| title_full | Introduction to supply chain analytics with examples in AnyLogic and anyLogistix software Dmitry Ivanov |
| title_fullStr | Introduction to supply chain analytics with examples in AnyLogic and anyLogistix software Dmitry Ivanov |
| title_full_unstemmed | Introduction to supply chain analytics with examples in AnyLogic and anyLogistix software Dmitry Ivanov |
| title_short | Introduction to supply chain analytics |
| title_sort | introduction to supply chain analytics with examples in anylogic and anylogistix software |
| title_sub | with examples in AnyLogic and anyLogistix software |
| topic | Supply chain management |
| topic_facet | Supply chain management |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=035105196&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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