IB9BS-15 Supply Chain Analytics
Introductory description
The module provides an introduction to Supply Chain Analytics (SCA).
Module aims
The module focuses on both the structural and operational elements of supply chain management: the design of supply networks as well as scheduling, inventory control, quality control and vehicle routing.
It seeks to make students aware of the complexities and special issues related to supply chains and provide a basic understanding how these can be tackled.
SCA aims to introduce various (analytical, mathematical and statistical) techniques to analyse supply chain performance and to identify inefficiencies and risk factors in operational, managerial and financial aspects of a supply chain.
Particular aims are:
To provide a holistic strategic view of supply chain management as a source of competitive advantage and identify the underlying dimensions of supply chain strategies.
To examine outsourcing and offshoring
To give students a flavour of various aspects of supply chain analytics (optimization, descriptive and predictive analytics) that can be used to manage complex processes in supply chains.
To make students aware of the complexities of the decision-making process and identify the underlying foundation and role of business analytics in a supply chain process.
To prepare the students for a variety of industrial and academic roles.
Outline syllabus
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
Introduction - The Evolution of SCM
Basic supply chain principles, outsourcing, offshoring, push/pull supply chains and supply chain performance
Supply Network Design
Value of Information
Supply Chain Risk Management
Inventory Control
Newsvendor Problem
Scheduling
Vehicle Routing
Quality Control
Learning outcomes
By the end of the module, students should be able to:
- Identify the contextual and theoretical setting for the study of SCM and define concepts and methods commonly used in SCM.
- Understand the particular challenges of supply chains.
- Understand a range of optimization techniques to solve typical problems in the design and operation of supply chain.
- Analyse case studies to propose potential business solutions as they relate to design of supply chain strategies for value creation in supply chains.
Indicative reading list
Chopra Sunil, Meindl Peter (2016) Supply Chain Management: Strategy, Planning , and Operation Pearson/Prentice Hall, 6th edition.
Douglas C. Montgomery (2007) Statistical Quality Control: A Modern Introduction.
Subject specific skills
Analyse organisations' supply chains, assessing and recognising risk, and the methods available to minimize it .
Evaluate and recommend improvements to the design and operation of a supply chain.
Understand and be able to apply optimisation and data analytics to supply chain problems.
Develop and demonstrate modelling skills to formally describe and model typical SCM problems.
Transferable skills
Written communication skills.
Group working.
Problem solving skills.
Study time
| Type | Required |
|---|---|
| Lectures | 9 sessions of 3 hours (18%) |
| Private study | 74 hours (49%) |
| Assessment | 49 hours (33%) |
| Total | 150 hours |
Private study description
Private study to include preparation for lectures
Costs
No further costs have been identified for this module.
You do not need to pass all assessment components to pass the module.
Assessment group D1
| Weighting | Study time | Eligible for self-certification | |
|---|---|---|---|
Assessment component |
|||
| Other Formal Assessment - Groupwork/ Presesentation | 15% | 7 hours | No |
|
Group work (to include presentation, written and numerical elements) |
|||
Reassessment component is the same |
|||
Assessment component |
|||
| Written Examination (IB9BS-15) | 85% | 42 hours | No |
Reassessment component is the same |
|||
Feedback on assessment
Markers' comments to exam uploaded to my. wbs. Comments on group assignment.
Pre-requisites
To take this module, you must have passed:
Courses
This module is Optional for:
- Year 1 of TIBS-N1N3 Postgraduate Taught Business Analytics
-
USTA-G300 Undergraduate Master of Mathematics,Operational Research,Statistics and Economics
- Year 3 of G300 Mathematics, Operational Research, Statistics and Economics
- Year 4 of G300 Mathematics, Operational Research, Statistics and Economics
This module is Option list C for:
- Year 4 of USTA-G300 Undergraduate Master of Mathematics,Operational Research,Statistics and Economics
- Year 5 of USTA-G301 Undergraduate Master of Mathematics,Operational Research,Statistics and Economics (with Intercalated