Outline

Overview

Successful supply chain management relies upon informed decision making, which aligns with overall business and supply chain strategies. This unit explores a range of important decisions and equips students with a toolkit of models and analytical methods that can assist in making informed decisions. The first set of decisions concern supply chain design and strategy and includes network design and facility location. These decisions provide structure to the supply chain, set the boundaries within which planning decisions are made, and impact on supply chain performance over the long term. In contrast, planning and operational decisions provide value over the medium and short term. Here, this unit covers production planning and scheduling, including aggregate planning, master production scheduling and material requirements planning. Families of models are introduced to support inventory control decision making, with a focus on appropriate model selection, handling uncertainty in supply and demand, and extending the models to handle multiple echelons.

Unit details and rules

Academic unit	Transport and Logistics Studies
Credit points	6
Prerequisites ?	(ITLS5020 or ITLS5000 or TPTM5001) and (ITLS5050 or ITLS5200 or TPTM6495) and (ITLS6201 or ITLS6101) and (ITLS6202 or ITLS6003)
Corequisites ?	ITLS6010 or ITLS6008
Prohibitions ?	TPTM6190
Assumed knowledge ?	None
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Matthew Beck, matthew.beck@sydney.edu.au

Type	Description	Weight	Due	Length
Short release assignment	Short Release Final Exam Short release assignment with essay and model based questions	35%	- Due date: 03 Dec 2023 at 09:00	24 hours
Outcomes assessed:
Supervised test ?	Computer exam - inventory control and aggregate planning Open book computer exam	35%	Week 04 Due date: 08 Nov 2023 at 18:00	2 hours
Outcomes assessed:
Assignment	Group assignment Report	30%	Week 07 Due date: 29 Nov 2023 at 23:59	8 pages
Outcomes assessed:
= group assignment ?

Assessment summary

Computer exam – inventory control and aggregate planning: This assessment is designed to test students’ knowledge of inventory control and aggregate planning, in particular, how to calculate order quantities, reorder points, handle demand and supply uncertainty, etc.
Network design (group/individual): Working in groups, students will be required to develop a company's supply chain network. This will include the location of facilities and will need to align with the company's competitive strategy. Students must write a report that clearly depicts the supply chain network, and explains the methods employed and the rationale for their recommendations. Part of the analysis and report is to be completed as a group, while some of the analysis and report will be completed by the individual.
Final exam: This take home final exam will test all of the material covered in the unit, with a particular focus on supply chain risk management.

Detailed information for each assessment can be found on Canvas.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name	Mark range	Description
High distinction	85 - 100	Awarded when you demonstrate the learning outcomes for the unit at an exceptional standard, as defined by grade descriptors or exemplars outlined by your faculty or school.
Distinction	75 - 84	Awarded when you demonstrate the learning outcomes for the unit at a very high standard, as defined by grade descriptors or exemplars outlined by your faculty or school.
Credit	65 - 74	Awarded when you demonstrate the learning outcomes for the unit at a good standard, as defined by grade descriptors or exemplars outlined by your faculty or school.
Pass	50 - 64	Awarded when you demonstrate the learning outcomes for the unit at an acceptable standard, as defined by grade descriptors or exemplars outlined by your faculty or school.
Fail	0 - 49	When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

Deduction of 5% of the maximum mark for each calendar day after the due date.
After ten calendar days late, a mark of zero will be awarded.

Academic integrity

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

Use of generative artificial intelligence (AI) and automated writing tools

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

Learning support

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

Weekly schedule

WK	Topic	Learning activity
Week 01	1. Introduction to the unit and an overview of supply chain planning and design; 2. Inventory control (Part 1)	Lecture (3.5 hr)
Week 01	Inventory control (Part 1)	Workshop (3 hr)
Week 02	Inventory control (Part 2)	Lecture (3.5 hr)
Week 02	Inventory control (Part 2)	Workshop (3 hr)
Week 03	Inventory control (Part 3)	Lecture (3.5 hr)
Week 03	Inventory control (Part 3)	Workshop (3 hr)
Week 04	1. Aggregate planning; 2. Sales and operations planning	Lecture (3.5 hr)
Week 04	1. Aggregate planning; 2. Sales and operations planning	Workshop (3 hr)
Week 05	Network design (Part 1)	Lecture (3.5 hr)
Week 05	Network design (Part 1)	Workshop (3 hr)
Week 06	Network design (Part 2)	Lecture (3.5 hr)
Week 06	Network design (Part 2)	Workshop (3 hr)

Attendance and class requirements

Lecture recording: All lectures and seminars are recorded and will be available on Canvas for student use. Please note the Business School does not own the system and cannot guarantee that the system will operate or that every class will be recorded. Students should ensure they attend and participate in all classes.

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Required readings

All readings for this unit can be accessed through the Library eReserve, available on Canvas.

Learning outcomes

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

Outcomes
Graduate qualities

At the completion of this unit, you should be able to:

LO1. Identify appropriate techniques that assist decision making across a range of inventory control, production planning and network design problem.
LO2. Accurately implement quantitative techniques that support logistics and supply chain decision making.
LO3. Design supply chain and distribution networks that are optimised, feasible and practical.
LO4. Interpret and appraise the results you obtain.
LO5. Influence stakeholders by effectively communicating findings from your analysis.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1	Depth of disciplinary expertise Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.
GQ2	Critical thinking and problem solving Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.
GQ3	Oral and written communication Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.
GQ4	Information and digital literacy Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.
GQ5	Inventiveness Generating novel ideas and solutions.
GQ6	Cultural competence Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.
GQ7	Interdisciplinary effectiveness Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.
GQ8	Integrated professional, ethical, and personal identity An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.
GQ9	Influence Engaging others in a process, idea or vision.

Outcome map

Learning outcomes	Graduate qualities
Learning outcomes

Responding to student feedback

This section outlines changes made to this unit following staff and student reviews.

Assessments have been restructured, including the removal of an individual component, in response to challenges identified by students in the timing of assessment.

Additional information

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect

Current students

ITLS6002: Supply Chain Planning and Design

Intensive November, 2023 [Normal evening] - Camperdown/Darlington, Sydney

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect