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E-grāmata: Supply Chain Analytics and Modelling: Quantitative Tools and Applications

  • Formāts: 328 pages
  • Izdošanas datums: 03-Apr-2021
  • Izdevniecība: Kogan Page Ltd
  • Valoda: eng
  • ISBN-13: 9780749498610
  • Formāts - EPUB+DRM
  • Cena: 65,42 €*
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  • Formāts: 328 pages
  • Izdošanas datums: 03-Apr-2021
  • Izdevniecība: Kogan Page Ltd
  • Valoda: eng
  • ISBN-13: 9780749498610

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Harness data within the supply chain using this accessible guide on how to examine, evaluate and apply business analytics models.

An incredible volume of data is generated at a very high speed within the supply chain and it is necessary to understand, use and effectively apply the knowledge learned from analyzing data using intelligent business models.

However, practitioners and students in the field of supply chain management face a number of challenges when dealing with business models and mathematical modelling. Supply Chain Analytics and Modelling presents a range of business analytics models used within the supply chain to help readers develop knowledge on a variety of topics to overcome common issues.

Supply Chain Analytics and Modelling covers areas including supply chain planning, single and multi-objective optimization, demand forecasting, product allocations, end-to-end supply chain simulation, vehicle routing and scheduling models. Learning is supported by case studies of specialist software packages for each example. Readers will also be provided with a critical view on how supply chain management performance measurement systems have been developed and supported by reliable and accurate data available in the supply chain. Online resources including lecturer slides are available.

Recenzijas

"This book gives comprehensive insights into business analytics and supply chain modelling, while inspiring views and vision on future trends of supply chain analytics for both students and professionals engaged in the analysis of complex and rapidly changing supply chains. Nicoleta Tipi provides the reader with a practical view on how to utilize advances in supply chain analytics and modelling in order to tackle modern complex supply chain activities which is highly useful for companies to have a competitive edge." * Dr Sara Elgazzar, Dean of the College of International Transport and Logistics, Arab Academy for Science and Technology and Maritime Transport * "This terrific book is must reading for both new and experienced professionals. It's practical and full of invaluable information. I wish I had this information when I was doing my PhD research." * Dr Georgakoudis Elias, CEO, Multi Pack S.A. * "Supply chain complexity is increasing. As such, this is a well-timed book that captures the key issues associated with navigating, analyzing and evaluating data across the supply chain. It contains valuable insights that will be relevant to both practitioners and academics involved in supply chain management." * Professor Helen Rogers, Professor of International Management, Technische Hochschule Nürnberg * "In this complex and rapidly changing time in supply chain management, in part due to the 4th industrial revolution, Nicoleta Tipi has provided logisticians and supply chain directors with insightful and comprehensive knowledge about measuring supply chain performance and business analytics. Put this book on your required-reading list, where you will learn data analytics, data visualization, and other models to meet future challenges. This book is a helpful guide to the supply chain modelling field, providing both coverage and detail." * Professor Khaled El Sakty, Dean of Faculty, Arab Academy for Science and Technology and Maritime Transport * "I am very glad to see that Dr. Nicoleta Tipi has authored Supply Chain Analytics and Modelling, which was much needed. This book will be of interest for students as well as practitioners who want to understand and improve their knowledge and capability on supply chain analytics and modelling." * Dr Ozlem Bak, Senior Lecturer in Operations Management, Brunel University London * "Supply Chain Analytics and Modelling provides a solid foundation in business analytics. It connects data analysis and how it can be further integrated with supply chain modelling providing potential to improve the decision-making process within a supply chain context. Suitable for undergraduate as well as postgraduate level studies in supply chain modelling and business analysis." * Dr Ahmed Tarek El-Said, Senior Teaching Fellow, Warwick Manufacturing Group, University of Warwick * "This version of Supply Chain Analytics and Modelling by Nicoleta Tipi provides a holistic view and deep insights about supply chain and its related concepts, bringing together valuable perspectives on its theoretical and practical application. Furthermore, the book also provides a very thoughtful inside on how to analyze data in the supply chain to obtain valuable business models and to develop proper strategies. The book is a must read for academics and practitioners dealing with the problems and challenges of data analysis in the supply chain." * Professor Dan-Cristian Dabija, Professor of Marketing, Babes-Bolyai University Cluj-Napoca *

List of figures and tables
ix
Preface xiv
PART ONE An introduction to business analytics and modelling in the supply chain
1(90)
01 Defining business analytics
3(19)
Learning objectives
3(1)
Introduction
3(3)
What is business analytics?
6(6)
Applications of business analytics
12(5)
Key challenges for business analytics
17(1)
Summary
18(1)
References
19(2)
Bibliography
21(1)
02 The role of modelling in the supply chain
22(23)
Learning objectives
22(1)
Introduction
22(2)
Defining the supply chain
24(5)
The supply chain as a complex system
29(5)
Supply chain models and modelling
34(2)
The use of computer modelling in the supply chain
36(6)
Summary
42(1)
References
43(2)
03 Data in the supply chain
45(23)
Learning objectives
45(1)
Introduction
45(4)
A data analytics methodology
49(3)
Data type
52(1)
Small and big data in the supply chain
53(6)
Challenges in working with data
59(6)
Summary
65(1)
References
66(1)
Bibliography
67(1)
04 Supply chain performance measurement systems
68(23)
Learning objectives
68(1)
Introduction
68(5)
The development of supply chain performance measurement systems: Current applications
73(8)
Analytical tools used in connection with performance measures
81(2)
The future of performance measurement systems
83(2)
Summary
85(1)
References
85(6)
PART TWO Advances in supply chain analytics and modelling
91(184)
05 Visualization techniques in the supply chain
93(31)
Learning objectives
93(1)
Introduction
93(2)
Data visualization
95(18)
Process, information and network visualization
113(9)
Summary
122(1)
References
123(1)
Bibliography
123(1)
06 Business analytics: Descriptive and predictive models
124(48)
Learning objectives
124(1)
Introduction
124(1)
Descriptive models
125(6)
Predictive models
131(39)
Summary
170(1)
References
170(1)
Bibliography
171(1)
07 Supply chain analytics: Prescriptive models
172(103)
Learning objectives
172(1)
Introduction
172(2)
Optimization models using linear programming
174(67)
Facility location problem
241(7)
Vehicle routing problem
248(24)
Summary
272(1)
References
273(1)
Bibliography
274(1)
PART THREE Future opportunities in supply chain analytics and modelling
275(22)
08 The future research agenda of supply chain analytics
277(20)
Learning objectives
277(1)
Introduction
277(1)
Conducting a systematic literature review
278(9)
Exploring research agendas proposed in current SLRs
287(6)
Summary
293(1)
References
294(1)
SLR references
294(3)
Index 297
Nicoleta Tipi is Senior Lecturer in Operations and Supply Chain at the Open University, UK. She was previously Senior Lecturer at the University of Huddersfield where she gained experience lecturing in the area of supply chain modelling and logistics operations. Nicoleta Tipi has considerable industry experience, having worked in different roles involving modelling and analytics for Unilever.