21946 Supply Chain Management Analytics
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Credit points: 6 cp
Subject level:
Postgraduate
Result type: Grade and marksRequisite(s): 24 credit points of completed study in Must have completed at least Business Faculty Master's Coursework OR 24 credit points of completed study in Must have completed at least Business Faculty Graduate Diploma New Area of Study OR 24 credit points of completed study in Must have completed at least Business Faculty Graduate Diploma Extending Previous Area of Study OR 24 credit points of completed study in spk(s): C04404 Master of Professional Practice OR 24 credit points of completed study in spk(s): C06136 Graduate Diploma Professional Practice OR 24 credit points of completed study in spk(s): C04406 Master of Technology OR 24 credit points of completed study in spk(s): C06137 Graduate Diploma Technology
These requisites may not apply to students in certain courses. See access conditions.
Description
In today’s global and connected economy, any company pursuing global growth sees its supply chain and logistics networks as critical to competitive advantage. Advances in information technology, introduction of new products with shorter life cycles, intensified competition in global markets, and the heightened expectations of customers have contributed to the development of new approaches to procurement and supply chain management. While designing an effective global supply network is a challenge, it can be a rewarding one because it can create more valuable products or services for delivery by a firm. This has created incentive for more effective and efficient designs of supply networks. This growing concern has created an incentive for more effective and efficient design of supply networks, thus allowing this subject to focus on imperative design considerations of both strategic and tactical aspects of value networks and logistics network design which all procurement and supply chains managers should know. The strategic intent on the supply side sourcing segments and procurement strategies, and demand side logistic strategies and market behavioral segments, changes the design of supply chains. And at the tactical level, how cost patterns of product delivery; efficient sourcing and procurement; forecasting methods; designing layouts; data aggregation and data mining for quality improvement and network management; and packaging, etc. influence logistic networks, distribution and warehousing decisions. Both of these dimensions provide students with in-depth understanding of how to strategise and position different building blocks to ensure dynamic alignment across a logistics and supply chain network. The concepts and strategies taught provide students with the ability to operationalise practices that can affect cost and service performance in end-to-end supply chains for global competitiveness.
Subject learning objectives (SLOs)
1. | Formulate and implement appropriate SCM strategies and managing supply chain performance using SCM analytics tools and techniques |
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2. | Analyse supply chain strategies and performance parameters to improve customer satisfaction through cost and service optimisation |
3. | Design and re-design global supply chains to cope with increased volatility so as to align sourcing segments, procurement strategies, logistics strategies and market segments |
4. | Appraise how to govern the intersection of procurement management and supply chain networks and the intersection of logistics strategies and market segments for managing costs and service level tradeoffs |
5. | Evaluate the operational dynamics in global logistics and distribution e.g. practical tactics to storage, transportation, order picking, packing, material movement and physical control |
Contribution to the development of graduate attributes
This subject focuses on analysing the dynamics within and across supply chains and designing an optimal supply chain by for global competitiveness. The knowledge gained from this subject will enhance the student's capacity to comprehend supply chain design and dynamics, learn and use appropriate analytics tools and techniques for data-driven decision making and solving supply chain management problems or availing opportunities. A number of case studies, lab practice sessions and simulation exercises are used to demonstrate issues, solve problems and enable students to apply leading-edge techniques to real-world business situations.
This subject contributes to the development of the following graduate attributes:
- Intellectual rigour and innovative problem solving
- Professional and technical competence
Teaching and learning strategies
Classes adopt a blended learning approach that combines inquiry-based and experiential learning techniques as well as guest lectures, real-world case analysis and videos. Through a flipped learning approach students are directed to access pre-read materials for each main content area. Lectures are delivered in a dialogic style to maximize critical engagement. Through collaborative learning experiences and engagement, in-class activities with role plays, systems mapping activities, case studies, scenario modelling, stakeholder dialogue and simulation exercises, students will develop a good understanding of the subject. Teams develop during the session and create a supply chain network design development plan through in-class creative brainstorming activities and they continue the development of this project outside of class time. The learning management system is used to share information and encourage interaction between staff and students. You will be provided with valuable, real-time feedback to assist you in managing your learning.
Content (topics)
- Designing enterprise Supply Chain strategies
- Aligning capabilities for multiple supply chains
- Configuring Supply chains to maximize performance
- Measuring the effect of supply chain network type on supply chain costs and service level
- Global logistics, distribution and warehousing
- Role of data aggregation and data mining in logistics
- Designing global logistic networks and layouts for warehouses and distribution centers
- Global logistics standards and practices
- Best practices and benchmarking for supply chain performance
Assessment
Assessment task 1: Supply Chain Optimisation
Objective(s): | This addresses subject learning objective(s): 3 and 4 |
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Groupwork: | Individual |
Weight: | 40% |
Length: | Not applicable |
Assessment task 2: Supply Chain Design Simulation Project
Objective(s): | This addresses subject learning objective(s): 1 and 2 |
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Groupwork: | Group, group assessed |
Weight: | 30% |
Length: | 3000 words (excluding references) |
Assessment task 3: Research Paper
Objective(s): | This addresses subject learning objective(s): 1, 2 and 5 |
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Groupwork: | Individual |
Weight: | 30% |
Length: | 3500 words (excluding references) |
Minimum requirements
Students must achieve at least 50% of the subject’s total marks as well as meet the Management Discipline Group compulsory attendance requirement, as detailed in the Subject Outline.
Recommended texts
Gattorna, J (2015) Dynamic Supply Chains: How to design, build and manage people-centric value networks, 3rd edition, FT Publishing ISBN13: 9781292016818.
Simchi-Levi, David, Xin Chen, and Julien Bramel. 2004 The Logic of Logistics: Theory, Algorithms, and Applications for Logistics and Supply Chain Management. 2nd ed. New York, NY: Springer, ISBN: 9780387221991.
References
Lemm, Jeffery M. 1993 Handbook in Operations Research and Management Science. Vol. 4, Logistics of Production and Inventory. Edited by S. C. Graves, A. H. G. Rinnooy Kan, and P. H. Zipkin. Amsterdam, Netherlands: North Holland Publishing, ISBN: 9780444874726.
Graves, S. C., and A. G. De Kok, eds. 2003 Handbook in Operations Research and Management Science. Vol. 11, Supply Chain Management. Amsterdam, Netherlands: Elsevier Publishing Company, ISBN: 9780444513281.
Simchi-Levi, David, S. David Wu, and Zuo-Jun Shen, eds. 2004 Handbook of Quantitative Supply Chain Analysis: Modeling in the E-Business Era. New York, NY: Springer, ISBN: 9781402079528.