Course

Supply Chain Planning

Faculty
Commerce & Business Administration
Department
Business
Course code
BUSN 3388
Credits
3.00
Semester length
15 weeks
Max class size
35
Method(s) of instruction
Lecture
Seminar
Course designation
None
Industry designation
CPIM
Typically offered
To be determined

Overview

Course description
This course will introduce students to the complete manufacturing planning and control process. Topics will include: demand management; forecasting; sales and operations planning; master scheduling; distribution planning; and enterprise resource planning. In class simulations will be used to provide students with practical experience and application of the tools and concepts taught. After completion of this course, students should possess the required knowledge required to begin studying for the APICS - CPIM examinations.
Course content

1. Introduction to Manufacturing Planning and Control; and Enterprise Resource Planning.

2. Introduction to Demand Management and Collaborative Planning, Forecasting and Replenishment.

3. Asessment of Forecasting Information, application of Forecasting Methods (qualitative and quantitative), and assessment of Forecast Accuracy.

4. Application of Sales and Operations Planning fundamentals.

5. Application of Master Production Scheduling techniques.

6. Introduction to Material Requirements Planning concepts, order quantity calculations and transaction processing. 

7. Introduction to Capacity Requirements Planning and Scheduling.

8. Introduction to Production Activity Control techniques and Theory of Constraints systems.

9. Application of Master Scheduling techniques.

10. Introduction to Distribution Requirements Planning (transportation networks, forecast allocations, distribution center decisions).

11. Introduction to Supply Chain Logistics elements and analysis.

12. Application of Operations Strategies to Manufacturing Planning and Control.

 

Learning activities

Lectures, in class simulations, problem solving, and analysis requiring interaction with other students and instructor.

Means of assessment

Group Written Project(s)                  10-20%

Individual Written Assignment(s)       10-20%

Participation                                  5-10%

Midterm                                       25-30%

Final                                           25-30%

Note: Students must achieve a grade of at least 50% on the combined examination components to pass the course.

Students may conduct research as part of their coursework in this class. Instructors for the course are responsible for ensuring that student research projects comply with College policies on ethical conduct for research involving humans, which can require obtaining Informed Consent from participants and getting the approval of the Douglas College Research Ethics Board prior to conducting the research.

 

Learning outcomes

After completing this course, a successful student will be able to:

1. evaluate each stage of the Manufacturing Planning and Control System using performance metrics;

2. demonstrate understanding of Enterprise Resource Plans in relation to Manufacturing Plans and support activities;

3. apply demand management concepts and functions to goods or services environments;

4. analyze forecast data, apply forecasting techniques, and evaluate forecast accuracy;

5. analyze Sales and Operations Plan activities;

6. apply Master Production Scheduling techniques in assorted environments;

7. apply Material Requirements Planning ordering techniques;

8. create Capacity Planning schedules;

9. demonstrate understanding of Production Activity Control principles and theories, and work sequencing techniques;

10. evaluate Distribution Requirements Planning decisions;

11. evaluate Supply Chain Logistics decisions (ie: warehousing, transport, inventory replenishment);

12. contrast Manufacturing Planning and Control decisions to Operations Strategy. 

Textbook materials

Operations Management (Latest Canadian Edition - Pearson) by Jay Heizer,Barry Render, et al, or Faculty approved alternative.

Non-programmable Calculator

Requisites

Prerequisites

Minimum grade of C in [(BUSN 2429 or MATH 1160) and BUSN 3380]

OR currently active in the PBD Computer and Information Systems AND a minimum grade of C in BUSN 3380

OR permission of the instructor

 

Corequisites

Courses listed here must be completed either prior to or simultaneously with this course:

  • No corequisite courses

Equivalencies

Courses listed here are equivalent to this course and cannot be taken for further credit:

  • No equivalency courses

Course Guidelines

Course Guidelines for previous years are viewable by selecting the version desired. If you took this course and do not see a listing for the starting semester / year of the course, consider the previous version as the applicable version.

Course Transfers

These are for current course guidelines only. For a full list of archived courses please see https://www.bctransferguide.ca

Institution Transfer details for BUSN 3388
Athabasca University (AU) AU MGSC 3XX (3)
Capilano University (CAPU) CAPU IBUS 3XX (3)
Coast Mountain College (CMTN) CMTN BADM 2XX (3)
College of the Rockies (COTR) COTR MGMT 3XX (3)
Kwantlen Polytechnic University (KPU) KPU ENTR 2XXX (3)
Langara College (LANG) LANG BUSM 2XXX (3)
Northern Lights College (NLC) NLC MGMT 2XX (3)
Simon Fraser University (SFU) No credit
University Canada West (UCW) UCW BUSI 2XX (3)
University of Northern BC (UNBC) UNBC COMM 3XX (3)
University of the Fraser Valley (UFV) UFV BUS 3XX (3)
University of Victoria (UVIC) UVIC COM 3XX (1.5)

Course Offerings

Winter 2025

CRN
15286
section details
CRN Days Instructor Status More details
Maximum seats
35
Currently enrolled
35
Remaining seats:
0
On waitlist
0
Building
Anvil Office Tower
Room
807
Times:
Start Time
15:30
-
End Time
18:20
Section notes

BUSN 3388 001 - This section is restricted to Business Management Diplomas, BBA Management, PBD International & PDD Supply Chain Management, PBD Advanced Supply Chain Management, PDD Data Analytics, and PBD Computer and Information Systems - Data Analytics, & Emerging Technology Streams until Monday, December 02, 2024, at 9:00 am.