Credit points: 15

Subject outline

Technology enabled supply chains are becoming increasingly effective, efficient, and transparent. These smart supply chains rely on three major components; (1) connectivity between systems in the supply chain to exchange data, (2) Internet of Things (IOT) integration into traditional items such as pallets and trucks to record real time movement of products, and (3) advanced analytics throughout the chain to support intelligent decision making. In this subject you will learn how to model and design smart supply chains to enable data driven decision making, optimization of operations, and adaptation to changing market conditions.

SchoolLa Trobe Business School

Credit points15

Subject Co-ordinatorSobhan (Sean) Asian

Available to Study Abroad/Exchange StudentsYes

Subject year levelYear Level 3 - UG

Available as ElectiveNo

Learning ActivitiesEnquiry based learning classroom activities, groupwork, simulations, in class discussions, individual written report, case studies

Capstone subjectNo

Subject particulars

Subject rules

Prerequisites Completion of 240 credit points (At least 120 credit points at first year, and at least 90 credit points at second year)


Incompatible subjectsN/A

Equivalent subjectsN/A

Quota Management StrategyN/A

Quota-conditions or rulesN/A

Special conditionsN/A

Minimum credit point requirementN/A

Assumed knowledgeN/A

Career Ready


Work-based learningNo

Self sourced or Uni sourcedN/A

Entire subject or partial subjectN/A

Total hours/days requiredN/A

Location of WBL activity (region)N/A

WBL addtional requirementsN/A

Graduate capabilities & intended learning outcomes

Graduate Capabilities

COMMUNICATION - Communicating and Influencing
COMMUNICATION - Digital Capability
INQUIRY AND ANALYSIS - Creativity and Innovation
INQUIRY AND ANALYSIS - Critical Thinking and Problem Solving
INQUIRY AND ANALYSIS - Research and Evidence-Based Inquiry
PERSONAL AND PROFESSIONAL - Adaptability and Self-Management
PERSONAL AND PROFESSIONAL - Leadership and Teamwork

Intended Learning Outcomes

01. Critique an existing supply chain design with the intention of improving technology contributions.
02. Model and explain a data driven smart supply chain based on best practice technology and data integration.
03. Assess the potential effectiveness, efficiency, and transparency of a smart supply chain design.

Subject options

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Start date between: and    Key dates

Melbourne (Bundoora), 2021, Semester 2, Blended


Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorSobhan (Sean) Asian

Class requirements

WorkShopWeek: 30 - 42
One 2.00 hours workshop per week on weekdays during the day from week 30 to week 42 and delivered via face-to-face.
In addition, students are expected to undertake between 1-3 hours of learning and assessment activities each week prior to class.


Assessment elementCommentsCategoryContributionHurdle% ILO*

Prepare an individual 1,500-word report critiquing a supplied supply chain design.

N/AReportIndividualNo30 SILO1, SILO3

In a small group, design and model a smart supply chain for a given specific context. Equivalent to 1500 words per student.

N/AAssignmentGroupNo30 SILO2

Prepare a 1,500-word individual business case. Business case to support the introduction of a smart supply chain.

N/AAssignmentIndividualNo40 SILO1, SILO2, SILO3