BUSINFO 709 : Supply Chain Analytics

Business and Economics

2022 Quarter One (1222) (15 POINTS)

Course Prescription

Synthesises learning from business analytics methodologies (e.g., multivariate data analysis, data mining, and network visualisation) taught in prior classes. Requires application of the latest supply chain research findings from the academic literature in developing practical business solutions, involving issues such as supplier selection and multi-sourcing. Develops skills and knowledge to independently and critically address open-ended and ill-defined challenges in Supply Chain Management including complex tactical supply chain management problems, including supplier selection, multi-sourcing.

Course Overview

The course aims to provide practical skills and techniques as well as theoretical knowledge required to address managerial challenges in supply chain management.
Specifically, leveraging business analytics tools, students will be equipped with the skills and knowledge necessary to analyse the roles of factors influencing the design of supply chains, inventory management, the selection of suppliers, the classification of suppliers and buyers, demand forecasting, supply network analysis, and pricing analytics.
This course takes a holistic approach to the methodologies of business analytics, which will allow students to have comprehensive opportunities to apply descriptive, prescriptive, and predictive analysis skills into the actual business contexts of supply chain management.
Thus, this course is designed to provide students with a strong theoretical base and sound analytical skills for pursuing careers in supply chain management, in particular supply chain analytics.

Course Requirements

Prerequisite: BUSINFO 704

Capabilities Developed in this Course

Capability 1: Disciplinary Knowledge and Practice
Capability 2: Critical Thinking
Capability 3: Solution Seeking
Capability 4: Communication and Engagement
Capability 5: Independence and Integrity
Capability 6: Social and Environmental Responsibilities

Learning Outcomes

By the end of this course, students will be able to:
  1. Demonstrate and apply knowledge of the concepts, views, theories, and latest methodologies of supply chain analytics for the effective management of supply chains. (Capability 1)
  2. Identify the key factors influencing supply chain management strategies. Further, evaluate the performance of different supply chain management strategies and suggest the best alternative with scientific evidence through independent analysis. (Capability 2 and 5.1)
  3. Obtain solutions for inventory management, supplier selection, the number of suppliers, the classification of suppliers, demand forecasting, price, etc., through various business analytics techniques. (Capability 2 and 3)
  4. Build capabilities to effectively present and persuade appropriate alternatives to improve the performance of supply chain management through verbal discussions as well as written documents in the team environment. (Capability 4.1, 4.2 and 4.3)
  5. Identify and evaluate ethical and social issues in organizations concerning decisions and relationships between buyers and suppliers. (Capability 5.2 and 6)

Assessments

Assessment Type Percentage Classification
Individual Assignments 30% Individual Coursework
MS Test 30% Individual Test
Group Assignment 30% Group Coursework
Reflection Report 10% Individual Coursework
Assessment Type Learning Outcome Addressed
1 2 3 4 5
Individual Assignments
MS Test
Group Assignment
Reflection Report

Workload Expectations

150 hours learning over a single quarter including:
     • Lectures: two hours per week (10 weeks)
     • Labs: two hours per week (10 weeks)
     • Hours of self-study: eleven hours per week (10 weeks)
To achieve the goals of this course, a variety of teaching approaches will be utilised including lectures, class discussions, lab sessions, and classroom activities. Lectures are active learning times and therefore recordings, where provided, should only be used as a revision tool. Labs provide examples to practice various techniques and analysis skills and give opportunities to practice teamwork skills. Business analytics software, including RStudio and Excel-Solver, will be used in the course. The expectation is that students spend an average of 10-12 hours per week on the course outside of class (split between reading/studying/practicing and assignments).

Delivery Mode

Campus Experience

Attendance is expected at scheduled activities including labs to complete components of the course.
Lectures will be available as recordings. Other learning activities including labs will be also available as recordings.
Under lock-down due to COVID-19, the course will include live online events including group discussions and labs.
In the normal condition, attendance on campus is required for the test and presentations.
The activities for the course are scheduled as a standard weekly timetable.

Learning Resources

Course materials are made available in a learning and collaboration tool called Canvas which also includes reading lists and lecture recordings (where available).

Please remember that the recording of any class on a personal device requires the permission of the instructor.

There is no printed textbook required for the course. Lecture slides, the main learning resources, will be uploaded to Canvas prior to each class. A limited number of readings and/or handouts may be shared through Canvas or distributed in class.
The University of Auckland copyright applies to all resources and information used during the course prohibiting students from sharing anything outside of their specific semester/quarter course cohort.
Supplementary materials for references and additional study:
1. Operations & Supply Chain Management, 16th Edition, by Jacobs and Chase, 2021 McGraw-Hill/Irwin, New York, NY.
2. Purchasing and Supply Management, 16th Edition, by P. Fraser Johnson, 2020 McGraw-Hill/Irwin, New York, NY.
3. Business Analytics: communicating with numbers, 1st Edition, by Sanjiv Jaggia and Alison Kelly and Kevin Lertwachara and Leida Chen, 2021 McGraw-Hill/Irwin, New York, NY.
4. R for Data Science (https://r4ds.had.co.nz/index.html)

Student Feedback

At the end of every semester students will be invited to give feedback on the course and teaching through a tool called SET or Qualtrics. The lecturers and course co-ordinators will consider all feedback and respond with summaries and actions.

Your feedback helps teachers to improve the course and its delivery for future students.

Class Representatives in each class can take feedback to the department and faculty staff-student consultative committees.

Academic Integrity

The University of Auckland will not tolerate cheating, or assisting others to cheat, and views cheating in coursework as a serious academic offence. The work that a student submits for grading must be the student's own work, reflecting their learning. Where work from other sources is used, it must be properly acknowledged and referenced. This requirement also applies to sources on the internet. A student's assessed work may be reviewed against online source material using computerised detection mechanisms.

Class Representatives

Class representatives are students tasked with representing student issues to departments, faculties, and the wider university. If you have a complaint about this course, please contact your class rep who will know how to raise it in the right channels. See your departmental noticeboard for contact details for your class reps.

Inclusive Learning

All students are asked to discuss any impairment related requirements privately, face to face and/or in written form with the course coordinator, lecturer or tutor.

Student Disability Services also provides support for students with a wide range of impairments, both visible and invisible, to succeed and excel at the University. For more information and contact details, please visit the Student Disability Services’ website http://disability.auckland.ac.nz

Special Circumstances

If your ability to complete assessed coursework is affected by illness or other personal circumstances outside of your control, contact a member of teaching staff as soon as possible before the assessment is due.

If your personal circumstances significantly affect your performance, or preparation, for an exam or eligible written test, refer to the University’s aegrotat or compassionate consideration page https://www.auckland.ac.nz/en/students/academic-information/exams-and-final-results/during-exams/aegrotat-and-compassionate-consideration.html.

This should be done as soon as possible and no later than seven days after the affected test or exam date.

Learning Continuity

In the event of an unexpected disruption, we undertake to maintain the continuity and standard of teaching and learning in all your courses throughout the year. If there are unexpected disruptions the University has contingency plans to ensure that access to your course continues and course assessment continues to meet the principles of the University’s assessment policy. Some adjustments may need to be made in emergencies. You will be kept fully informed by your course co-ordinator/director, and if disruption occurs you should refer to the university website for information about how to proceed.

Student Charter and Responsibilities

The Student Charter assumes and acknowledges that students are active participants in the learning process and that they have responsibilities to the institution and the international community of scholars. The University expects that students will act at all times in a way that demonstrates respect for the rights of other students and staff so that the learning environment is both safe and productive. For further information visit Student Charter https://www.auckland.ac.nz/en/students/forms-policies-and-guidelines/student-policies-and-guidelines/student-charter.html.

Disclaimer

Elements of this outline may be subject to change. The latest information about the course will be available for enrolled students in Canvas.

In this course students may be asked to submit coursework assessments digitally. The University reserves the right to conduct scheduled tests and examinations for this course online or through the use of computers or other electronic devices. Where tests or examinations are conducted online remote invigilation arrangements may be used. In exceptional circumstances changes to elements of this course may be necessary at short notice. Students enrolled in this course will be informed of any such changes and the reasons for them, as soon as possible, through Canvas.

Published on 12/11/2021 02:40 p.m.