Abstract:
Over the years, post production support has become more speci c to the user. Streamlining a support
concept so that it best ts the user requirement eliminates unnecessary costs, thereby reducing the
overall life cycle cost of the product system. Integrated Logistics Support and more especially, the
Level of Repair Analysis has played a signi cant role in this respect, managing processes in order to
meet speci c requirements within the capabilities of the company and the user.
A global supplier of defence equipment, Denel Dynamics has been one of the game changers in the
local and global defence industry. The company has consistently worked toward providing innovative
solutions for their clients, building and maintaining strong relations based on their commitment to
improving both products and processes within the company.
Denel Dynamics is currently experiencing a problem in their Integrated Logistics Support Division,
whereby clients have di ering requirements for support. The support concept already created for a
particular client cannot be generally applied to another client's requirement- a tailored concept must
be created for each client. However, the current Excel-based method of support concept generation and
evaluation is rigid and does not allow quick manipulations to make each one speci c to a particular
client's needs. It is time consuming and often leads to one single concept being chosen based on
the experience of personnel and presented as the best solution to meet the requirement- with no
comparisons being made between options to validate the decision.
This report explores the project e ort to create an improved, more dynamic and
exible method
of evaluating the support concepts, allowing Denel Dynamics to make informed decisions regarding
the support options made available to users. A literature review included gives a brief overview of the
methods and processes in the Integrated Logistics Support eld. Studies conducted to solve similar
problems have also been presented in the literature review. These studies contribute to the concept
design of the problem solution. A simulation-based approach was employed on AnyLogic PLE, as
opposed to the current Excel-based approach. The model design has been presented, along with the
data analysis, providing information that was used in the simulation model, as well as the results
analysis of the base case and alternative scenario concepts. Finally, conclusions are drawn to indicate
that this is a valuable solution to the problem faced by the company, giving recommendations that
may be implemented in the future to improve the model.
