Unit name | Supply Chain Analytics & Projects |
---|---|
Unit code | EFIMM0073 |
Credit points | 20 |
Level of study | M/7 |
Teaching block(s) |
Teaching Block 2 (weeks 13 - 24) |
Unit director | Dr. Sheng |
Open unit status | Not open |
Pre-requisites |
Nil |
Co-requisites |
Nil |
School/department | School of Management - Business School |
Faculty | Faculty of Social Sciences and Law |
Analytics plays four distinct roles in a supply chain context:
The aim of this unit is to introduce the key concepts, models and computing software tools in each of these three domains and to work through the challenges of successful implementation in real world cases and situations.
A key element will not only be a focus on appropriate choice and implementation of approach, but communication of the output from such methods and software for supply chain improvements and their subsequent project management.
On completion of this unit, students should be able to:
Teaching will be delivered through a combination of synchronous and asynchronous sessions including lectures, tutorials, drop-in sessions, discussion boards and other online learning opportunities.
Summative 1: 1,000 word individual assignment (50%) Summative 2: 2,500 word group assignment (50%) Formative: weekly quizzes
Students are encouraged to read extensively around their subject to inform their knowledge. Students should draw from a range of sources which may include academic texts and papers, practitioner books and journals, market reports and online sources.
Core Texts
Albright, S.C. and Winston, W.L. (2017) Business Analytics – Data Analysis and Decision Making. Sixth Edition. Cengage Learning.
Maylor, H. (2018) Project Management. Fifth Edition. Prentice Hall.
Recommended Reading
Feigin,G. (2011) Supply Chain Planning and Analytics: The Right Product in the Right Place at the Right Time. Business Expert Press.
Ragsdale, C.T. (2014) Spreadsheet Modelling and Decision Analysis: A Practical Introduction to Business Analytics. Cengage.
Chopra, S, Meindl,P. (2012) Supply Chain Management, Pearson
Anderson, D.R., Sweeney, D.J., Williams, T.A., Wisniewski, M and Pierron, X. (2017) An Introduction to Management Science. 3rd Edition. Cengage.
Following international journals could also provide important information related to new developments in supply chain analytics and projects area: