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This PhD project aims to develop a cost modelling system to support lean
product and process development. The system enables the designers to assess
the design along with associated manufacturing processes and provides
decision support at an early development stage. Design assessment at early
development stage can help designers to take proactive decisions, eliminate
mistakes and enhance product value.
The developed cost modelling system to support lean product and process
development incorporates three lean product and process development
enablers, namely set-based concurrent engineering, knowledge-based
engineering, and mistake-proofing (poka-yoke). To facilitate above explained
lean enablers, the system architecture contains six modules, six separate
groups of database, a CAD modelling system, and a user interface. The
system modules are: (i) value identification; (ii) manufacturing
process/machines selection; (iii) material selection; (iv) geometric features
specification; (v) geometric features and manufacturability assessment; and (vi)
manufacturing time and cost estimation. The group of database includes: (i)
geometric features database, (ii) material database, (iii) machine database, (iv)
geometric features assessment database, (v) manufacturability assessment
database, and (vi) previous projects cost database.
A number of activities have been accomplished to develop the cost modelling
system. Firstly, an extensive literature review related to cost estimation, and
lean product and process development was performed. Secondly, a field study
in European industry and a case study analysis were carried out to identify
current industrial practices and challenges. Thirdly, a cost modelling system to
support lean product and process development was developed. Finally,
validation of the system was carried out using real life industrial case studies.
The system provides a number of benefits, as it enables designers to
incorporate lean thinking in cost estimation. It takes into consideration
downstream manufacturable process information at an early upstream stage of the design and as a result the designer performs the process concurrently and
makes decisions quickly. Moreover, the system helps to avoid mistakes during
product features design, material and manufacturing process selection, and
process parameters generation; hence it guides toward a mistake-proof product
development. The main feature of the system, in addition to manufacturing cost
estimation, is set-based concurrent engineering support; because the system
provides a number of design values for alternative design concepts to identify
the feasible design region.
The major contribution of the developed system is the identification and
incorporation of three major lean product and process development enablers,
namely set-based concurrent engineering, knowledge-based engineering and
poka-yoke (mistake-proofing) in the cost modelling system. A quantification
method has been proposed to eliminate the weaker solution among several
alternatives; therefore only the feasible or strong solution is selected. In
addition, a new cost estimation process to support lean product and process
development has been developed which assists above explained three lean
product and process development enablers. |
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