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Student Number 954206009
Author Min-yuan Ke(_{W)
Author's Email Address No Public.
Statistics This thesis had been viewed 1996 times. Download 801 times.
Department Graduate Institute of Industrial Management
Year 2007
Semester 2
Degree Master
Type of Document Master's Thesis
Language English
Title Applying DSM and Influence Matrix for Analysis and modeling of Collaborative Product Design
Date of Defense 2008-06-13
Page Count 90
Keyword
  • Collaborative design process
  • Collaborative product design
  • Design structure matrix
  • Influence matrix
  • Abstract Most industries are devoted to responding to the markets demand quickly and to shortening the lead time and product costs to keep competitiveness. At present, information technology develops so fast, and the customer-oriented concept emerges so that the collaborative product design project (CPDP) becomes a development trend. According to the requirement of customer, enterprises are involving more than one co-developed products. However, this way makes development projects of new products more complicated, and the iterative information of the design process makes the planning and schedule design tasks harder. For this reason, the thesis is to simplify the iterative information of collaborative design process and to schedule an efficient process of collaborative design.
      At first, in order to reduce the product design iteration we adopt Design Structure Matrix (DSM) to build a design process model, which defines the design tasks and its information requirement, and optimizes the sequence of the tasks. Subsequently, we adopt the Influence Matrix to analyze the relationship that design tasks relate to the product evaluation factors. We can utilize this result to respond to the requirement of customer.
      The research will present a methodology applying the collaborative product design project (CPDP) for optimizing the design processes, defining the relationship that the design tasks relate to the product evaluation factors. The objective of our thesis is to accelerate of the schedule of the collaborative product design project (CPDP), to reduce the time of iterative information and to enter the market successfully.
    Table of Content AbstractKKKKKKKKKKKKKKKKKKKKKKKKKKKKKI
    KnKKKKKKKKKKKKKKKKKKKKKKKKKKKKKIII
    Table of Contents List of FiguresKKKKKKKKKKKKKKKKKKKV
    List of FiguresKKKKKKKKKKKKKKKKKKKKKKKKKVII
    List of TableKKKKKKKKKKKKKKKKKKKKKKKKKKKKIX
    Chapter I IntroductionKKKKKKKKKKKKKKKKKKKKKKKK1
    1.1 BackgroundKKKKKKKKKKKKKKKKKKKKKKKK1
    1.2 MotivationKKKKKKKKKKKKKKKKKKKKKKKK3
    1.3 Thesis GoalKKKKKKKKKKKKKKKKKKKKKKKK4
    1.4 Thesis OverviewKKKKKKKKKKKKKKKKKKKKKK4
    Chapter II Literature ReviewKKKKKKKKKKKKKKKKKKKKK6
    2.1 New Product Development (NPD) KKKKKKKKKKKKKKK6
    2.1.1 Process of NPDKKKKKKKKKKKKKKKKKKKKKK7
    2.1.2 Methodology of NPDKKKKKKKKKKKKKKKKKKK10
    2.2 Collaborative product designKKKKKKKKKKKKKKKKKK13
    2.2.1 The concepts of collaborative product designKKKKKKKKKK13
    2.2.2 Early Supplier involvement (ESI) KKKKKKKKKKKKKK13
    2.2.3 Design chain operations reference (DCOR) modelKKKKKKKK16
    2.3 Project Management toolsKKKKKKKKKKKKKKKKK21
    2.3.1 Directed GraphKKKKKKKKKKKKKKKKKKKKKK21
    2.3.1 CPM, PERT and Gantt chartKKKKKKKKKKKKKKKK22
    2.3.2 Flow ChartKKKKKKKKKKKKKKKKKKKKKKK23
    2.3.3 Design Structure MatrixKKKKKKKKKKKKKKKKK24
    Chapter III Product Development for Collaborative Product Design Project..26
    3.1 Overview of Collaborative Product design ProjectKKKKKKKKKK26
    3.1.1 Challenge of Collaborative Product Design ProjectKKKKKKKK27
    3.1.2 Product planning for CPDPKKKKKKKKKKKKKKKKK28
    3.2 Methodological FrameworkKKKKKKKKKKKKKKKKKK30
    3.3 DSM FundamentalKKKKKKKKKKKKKKKKKKKKKK32
    3.3.1 The Design Structure Matrix (DSM) ModelKKKKKKKKKK32
    3.3.2 Traditional analysis of the DSMKKKKKKKKKKKKKKK35
    3.3.3 Feedback Loop of TasksKKKKKKKKKKKKKKKKKK36
    3.3.4 The Algorithms for DSM- Sequence and PartitionKKKKKKKK37
    3.4 Influence Matrix FundamentalKKKKKKKKKKKKKKKKK39
    3.4.1 Construction of Influence MatrixKKKKKKKKKKKKKKK39
       3.4.2 Influence matrix modeling procedureKKKK41
    Chapter IV Illustrative ExampleKKKKKKKKKKKKKKKKKKK44
    4.1 Description of CaseKKKKKKKKKKKKKKKKKKKKKK44
    4.2 Pre-AnalysisKKKKKKKKKKKKKKKKKKKKKKKK47
    4.2.1 AssumptionKKKKKKKKKKKKKKKKKKKKKKK47
    4.2.2 Data collectionKKKKKKKKKKKKKKKKKKKKKK48
    4.3 Construct a Methodology for CPDPKKKKKKKKKKKKKKK50
    4.3.1 Construct the Collaboration of DSM modeling for the caseKKKK50
    4.3.1.1 Construct Collaboration of IO DSM for CPDPKKKKKK52
    4.3.1.2 Simplifying Process of CollaborationKKKKKKKKK60
    4.3.1.3 PartitionKKKKKKKKKKKKKKKKKKKKK66
    4.3.2Construct the Influence Matrix for the CaseKKKKKKKKKKK72
    4.3.2.1 Influence Matrix modelingKKKKKKKKKKKKK74
    4.3.2.2 Formation of Total Influence MatrixKKKKKKKKKK74
    4.3.2.3 Define characteristic parameterKKKKKKKKKKKK78
    4.3.2.4 The analysis result of influence matrixKKKKKKKKK79
    Chapter V ConclusionKKKKKKKKKKKKKKKKKKKKKKK83
    5.1 ConclusionKKKKKKKKKKKKKKKKKKKKKKKKK83
    5.2 Future ResearchKKKKKKKKKKKKKKKKKKKKKKK84
    ReferenceKKKKKKKKKKKKKKKKKKKKKKKKKKKKK85
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    Advisor
  • Hsing-pei Kao(H)
  • Files
  • 954206009.pdf
  • approve immediately
    Date of Submission 2008-06-27

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