Supply chain analytics and modelling: quantitative tools and applications

By:

Tipi, Nicoleta

Material type: Text

TextPublication details: Kogan Page Ltd. London 2021Description: xvii, 303 pISBN:

9780749498603

Subject(s):

DDC classification:

658.70285 TIP

Summary: About the book 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.

List(s) this item appears in: Operation & quantitative Techniques | IT & Decision Sciences

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Operations Management & Quantitative Techniques	658.70285 TIP (Browse shelf(Opens below))	1	Available		003697

Browsing Indian Institute of Management LRC shelves, Shelving location: General Stacks, Collection: Operations Management & Quantitative Techniques Close shelf browser (Hides shelf browser)

Previous								Next
Previous	658.70282 VAN Data science for supply chain forecasting	658.70285 LIU Supply chain analytics: concepts, techniques and applications	658.70285 ROS The digitalization of the 21st century supply chain	658.70285 TIP Supply chain analytics and modelling:	658.70285 VYA Blockchain and the supply chain: concepts, strategies and practical applications	658.70285 VYA Blockchain and the supply chain:	658.70285 WAN E-logistics: managing your digital supply chains for competitive advantage	Next

Table of content

Chapter - 01: Introduction to business analytics;Chapter - 02: The role of modelling in the supply chain;Chapter - 03: The role of data in the supply chain;Chapter - 04: Big data and data visualization;Chapter - 05: Supply chain performance measurement systems;Chapter - 06: Business analytics models;Chapter - 07: Supply chain analytics;Chapter - 08: The future of supply chain analytics

About the book
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.

There are no comments on this title.

to post a comment.