Project risk management decision-making method for manufacturing system using statistical approaches
Manufacturing systems help in planning, controlling and monitoring throughout the manufacturing processes. Failure to perform reliable systems may cause problems through its lifecycle. Specifically, risk management is particularly pertinent for manufacturing projects, thus distinctive methods an...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2019
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| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/84265/1/FK%202019%20104%20-%20ir.pdf http://psasir.upm.edu.my/id/eprint/84265/ |
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| Summary: | Manufacturing systems help in planning, controlling and monitoring
throughout the manufacturing processes. Failure to perform reliable
systems may cause problems through its lifecycle. Specifically, risk
management is particularly pertinent for manufacturing projects, thus
distinctive methods and education have been developed for such risk
management. Fewer attempts have been undertaken in dealing with lean
production risks during constructing of projects. On the other hand, lack of
methodology in recognizing and minimizing lean production risks during
developing manufacturing systems resulted in nothing, except wasting a lot
of money and energy, dismissing of personnel, getting loans or bankruptcy.
Consequently, for a more desirable management of risks associated with
mass production of a manufacturing system, it seems necessary to develop
an expanded image and a perspective of future horizons when constructing
a manufacturing system. In this study, a review from the previous works
were conducted on risk management, particularly risks in the decisionmaking
method for scheduling and line of balance monitoring in
manufacturing systems. In first hand, a questionnaire based survey
approaches for risks identifying and analysing of the critical risk factors
were developed and presented. The survey was adopted based on the
previous researches and slightly altered, pre-tested and weighted for the
validity and reliability. Three keys risk elements were adopted which are;
organizational scope, business strategy risk and operational risk, with 82
specified questionnaires were considered in this study. Likert scales
weighed as 1 to 5 were assessed by the correspondents. The collected
survey were then has been analyse using SPSS. Results showed that the
risk elements from the operational risk a highly influences to the overall
outcomes of the organizations. A suggestion of a conceptual model and the identification of the effective production factors was then has been
discussed. Finally, a manufacturing software was developed. A validation
test was successfully conducted without any error occurred. The developed
software managed to perform a recommended values based on risks and
will help in the success of the manufacturing scheduling. |
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