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Programme: BEngHons Industrial Engineering

Code Faculty
12240012 Faculty of Engineering, Built Environment and Information Technology
Credits Duration NQF level
Minimum duration of study: 1 year Total credits: 128 NQF level:  08

Programme information

The curriculum is determined in consultation with the relevant heads of departments. A student is required to pass modules to the value of at least 128 credits.

The degree is awarded on the basis of examinations only.

Admission requirements

  • A BEng degree awarded by the University of Pretoria; or a four-year bachelor’s degree in engineering that ECSA regards as acceptable for registration as a candidate engineer and for eventual registration as a professional engineer.
  • The departmental Postgraduate Committee reserves the right to make a thorough assessment of the applicant's academic transcript and CV, and to decide if the applicant is suitable for postgraduate studies. This assessment may include an oral or written entrance examination.

Other programme-specific information

The Programme consists of one compulsory module (32 credits) with any relevant core module as pre-requisite and the remainder of credits either core and/or elective modules. Students are allowed 32 relevant credits from outside the department.  Students are advised to select modules in line with their desired research stream:

  • Resource Optimisation (RO)
  • Business Process Optimisation (BPO)
  • Supply Chain Engineering (SCE)

Please refer to the Programme Guide for further information, available here.

Examinations and pass requirements

  1. The examination in each module for which a student is registered, takes place during the normal examination period after the conclusion of lectures (i.e. October/November or May/June).
  2. A student registered for the honours degree must complete his or her studies within two years (full-time), or within three years (part-time) after first registration for the degree: Provided that the Dean, on recommendation of the relevant head of department, may approve a stipulated limited extension of this period.
  3. A student must obtain at least 50% in an examination for each module where no semester or year mark is required. A module may only be repeated once.
  4. In modules where semester or year marks are awarded, a minimum examination mark of 40% and a final mark of 50% is required.
  5. No supplementary or special examinations are granted at postgraduate level.

Pass with distinction

A student passes with distinction if he or she obtains a weighted average of at least 75% in the first 128 credits for which he or she has registered (excluding modules which were discontinued timeously). The degree is not awarded with distinction if a student fails any one module (excluding modules which were discontinued timeously). The degree must be completed within the prescribed study period. 

Minimum credits: 128

BCS 780 is a compulsory module.

Core modules

  • Module content:

    Enterprise Engineering can be defined as the body of knowledge, principles, and practices to design an enterprise. Due to their complexity and the continuously changing environment, enterprises need new approaches, tools and techniques to deliver innovative products and services to new markets in competitive environments. This module offers an introduction to the engineering design process applied to the enterprise as a system, and present existing approaches for designing, aligning and governing the enterprise. Within the design paradigm, the module also offers research methods (e.g. design research and action research) that are relevant for doing research within the enterprise engineering discipline.


    The module covers:
    •Background on systems thinking
    •Systems design and systems engineering
    •Prominent approaches for creating an enterprise engineering capability (e.g. Zachman, The Open Group, Dietz/Hoogervorst).
    •Mechanisms and practices associated with different phases of enterprise design (e.g. enterprise modelling, languages, road maps, maturity assessment etc.)
    •Research methods and techniques to validate and extend the EE knowledge base
    •Case studies
    •Change management

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  • Module content:

    *This is a compulsory research module.

    The module affords an individual student the opportunity of studying a designated area of coherent advanced knowledge under the tutorship of a senior staff member of the Department of Industrial and Systems Engineering. Eligibility, topic and scope of the intended project must be determined in consultation with the proposed supervisor.

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  • Module content:

    A key objective of supply chain management is to develop competiveness and achieve a market advantage through the implementation of cross-functional processes as the mechanism to coordinate internal and external activities.
    The course aims to create an understanding of the importance of integrating key supply chain business processes and to develop the ability to analyse and implement such processes across functional and corporate silos. Standardised process definitions and practices, including strategic and operational sub-processes and key performance measurements, are considered.
    Course outline:
    • Customer Relationship Management Process
    • Supplier Relationship Management Process
    • Customer Service Management Process
    • Demand Management Process
    • Order fulfilment Process
    • Manufacturing Flow Management (Planning and Control) Process
    • Product Development and Commercialisation Process
    • Returns Management Process
    • Assessment of Supply Chain Management (SCM) Processes
    • Implementing and Sustaining SCM Processes
    • Supply Chain Mapping Approaches
    • Supply Chain Performance Measurement

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  • Module content:

    Building on undergraduate modules in Operations Research, the module aims to extend the mathematical programming and optimisation capabilities by introducing uncertainty. Many decision makers are confronted with complex environments in which data is not known with certainty, or in which the decision constraints are uncertain. For cases where one knows the shape, or can assume that the uncertainty follows a known probabilistic distribution, stochastic programming can be used. In the module both chance-constrained programming and fixed recourse are introduced. Fuzzy optimisation is introduced for cases where the shape and/or distribution of the uncertainty are not known.The module also addresses the uncertainty when a decision maker is confronted with multiple, competing objectives.

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  • Module content:

    Review of MPC, Agile Manufacturing Processes, Models of MPC
    Section 1: Review of MPC Theories and Framework
    Section 2: Research Framework for Problems in Manufacturing Systems
    1. Mathematical Model based Problems and their techniques
    2. Estimation and Hypothesis based Problems and their techniques
    Section 3: Introduction to MPC Problems and sample Models
    1. Forecasting models
    2. Aggregate planning models
    3. Lot sizing and disaggregation models
    4. Finite Scheduling models
    5. Lean Manufacturing Models
    6. Basic Distribution and Replenishment Models
    7. Basic Supply Chain Structural Analysis and Performance Models
    Section 4: Agile Panning Problems and Techniques
    1. Multi-Level Master Scheduling Techniques
    2. Constraint Scheduling – (TOC theory, applications and optimisation)
    3. Lean Manufacturing Implementation (from Flow Lean to Process Kaizen )
    4. Introduction to CONWIP ideology
    5. Introduction to Demand Driven MRP

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  • Module content:

    In recent years the boundaries between different simulation paradigms such as discrete event simulation, system dynamics and agent-based models have become less distinct. Improvements in computational efficiency also allow much richer and complex models to be built. This course introduces agent-based models (ABM) as a class of computational models that deal with autonomous agents and their interactions with other agents, and their surrounding environments. Course content covers basic theoretical foundations of ABM and then focuses on a few specific application areas where ABM is used for decision-making: pedestrian and transport models; production and logistics; as well as biology.

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  • Module content:

    Strategic design of supply chain networks, inventory management and supply chain integration. Framework for strategic alliances and third party logistics. Analysis and application of alternative supply chain reference models as the basis for modelling, analysis and improvement.
    Course outline:
    • Supply Chain Network Design
    • Strategic Management of Inventory
    • Supply Chain Integration
    • Strategic Alliances
    • Coordinated Product and Supply Chain Design
    • Supply Chain Modelling (SCOR, VRM)

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Elective modules

  • Module content:

    To make students conversant with the concepts, tools and techniques of reliability engineering.
    Capita selecta from:
    • Introduction to Reliability Engineering
    • Reliability Mathematics
    • Probability Plotting
    • Reliability Prediction for Design
    • Reliability Testing
    • Reliability Growth
    • Maintainability
    • Reliability Management

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The information published here is subject to change and may be amended after the publication of this information. The General Regulations (G Regulations) apply to all faculties of the University of Pretoria. It is expected of each student to familiarise himself or herself well with these regulations as well as with the information contained in the General Rules section. Ignorance concerning these regulations and rules will not be accepted as an excuse for any transgression.

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