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姓名 鄭朝宗(Chao-Tsung Cheng) 查詢紙本館藏 畢業系所 企業管理學系在職專班 論文名稱 品質機能展開與設計結構矩陣於新產品規劃之應用
(Applying Quality Function Deployment and Design Structure Matrix to Product Planning)相關論文 檔案 [Endnote RIS 格式]
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摘要(中) Product planning decisions largely determine the success or failure of a new product development. To achieve organization targets, product managers must set clear product specifications and realistic schedule. In order to avoid design a product that includes every desirable characteristic for everyone, just focused on customers what they need. Product managers must both understand customer requirements and also select the optimal set of features to meet those needs. At the same time, they must control product complexity in order to achieve reasonable development schedules and create a product that can be supported after the sale.
Product development project delay issue is universal among the companies. Thereupon, this paper focuses on design iterations, which are inherent in product development process. It aggravates the uncertain of product development duration, but often unaddressed. Its impact is mediated by the architecture of a process, i.e., its constituent activities and their interaction.
This paper adopts quality function deployment (QFD) methodology gradual deploy customer requirements and other popular methods to output product specifications. After that, based on design structure matrix, a rework probability assessment method for design activity is proposed in order to schedule a project. A cycle time reduction method what we proposed that beyond the common recommendation to simply overlap activities as much as possible. The framework yields and reinforces several managerial insights, including: how a customer requirement converts to product specifications, how to generate a realistic schedule, how to reschedule and account for corresponding iterative and overlapped activities. An industrial application for an AC motor drive is demonstrated to illustrate the proposed framework.摘要(英) Product planning decisions largely determine the success or failure of a new product development. To achieve organization targets, product managers must set clear product specifications and realistic schedule. In order to avoid design a product that includes every desirable characteristic for everyone, just focused on customers what they need. Product managers must both understand customer requirements and also select the optimal set of features to meet those needs. At the same time, they must control product complexity in order to achieve reasonable development schedules and create a product that can be supported after the sale.
Product development project delay issue is universal among the companies. Thereupon, this paper focuses on design iterations, which are inherent in product development process. It aggravates the uncertain of product development duration, but often unaddressed. Its impact is mediated by the architecture of a process, i.e., its constituent activities and their interaction.
This paper adopts quality function deployment (QFD) methodology gradual deploy customer requirements and other popular methods to output product specifications. After that, based on design structure matrix, a rework probability assessment method for design activity is proposed in order to schedule a project. A cycle time reduction method what we proposed that beyond the common recommendation to simply overlap activities as much as possible. The framework yields and reinforces several managerial insights, including: how a customer requirement converts to product specifications, how to generate a realistic schedule, how to reschedule and account for corresponding iterative and overlapped activities. An industrial application for an AC motor drive is demonstrated to illustrate the proposed framework.關鍵字(中) ★ Rework Probability
★ Reschedule
★ Overlapping Activities
★ Voice of Customer
★ Design Structure Matrix
★ Quality Function Deployment
★ Schedule
★ Product Planning關鍵字(英) ★ Voice of Customer
★ Quality Function Deployment
★ Design Structure Matrix
★ Reschedule
★ Schedule
★ Overlapping Activities
★ Rework Probability
★ Product Planning論文目次 TABLE OF CONTENTS
ABSTRACT…………………………………………………………………………i
ACKNOWNLEDGE……………………..……………………….…………..……ii
TBALE OF CONTENTS………….…….…………………………………………iii
LIST OF TABLES…………………………………………………………………v
LIST OF FIGURES………………………………………………………………vi
CHAPTER 1 INTRODUCTION…………………………………………..……….1
1.1 Background ……………………………………………………………….1
1.2 Motivation…………………………………...…………………………….2
1.3 Research Objective……………………………………………….……….3
1.4 Scope of the Research…………………………………………………..…4
1.5 Thesis Organization……………………………………………………….5
CHAPTER 2 LITERATURE REVIEW……………………………………..……..6
2.1 Quality Function Deployment……………………………………….…….6
2.2 Design Structure Matrix………………………………………………….10
2.2.1 Component-Based Design Structure Matrix………………….……14
2.2.2 Task-Based Design Structure Matrix…………………………..…..16
CHAPTER 3 THE FRAMEWORK CONSTRUCTION……………………..........…….19
3.1 Customer-Driven Product Specifications……………………….………..20
3.1.1 Convert Voice of Customer into Product Characteristics…………..21
3.1.2 Convert Product Characteristics into Part Characteristics………....21
3.2 Plan a Schedule………………………………………..…………………22
3.2.1 Link Part Characteristics to DSMs………………………..……….23
3.2.2 Estimate the Cycle Time with Iterative Activities……..…………..24
3.2.3 Reduce the Cycle Time…………………………………………….27
CHAPTER 4 IMPLEMENTATION OF THE FRAMEWORK………….……….31
4.1 Establish a Customer-Driven Product Specification…………………..…31
4.2 Output the Part Characteristics……………..…………………………….33
4.3 Assess and Reduce Product Development Cycle Time…………………..36
4.3.1 Link QFD’s Output to DSMs………………………………..……..36
4.3.2 Assessing Design Cycle Time without Iteration……………...……38
4.3.3 Assessing Design Cycle Time with Iteration……………………….39
4.3.4 Reduce Design Cycle Time via Overlapped Activities……….……41
CHAPTER 5 INDUSTRIAL APPLICATION: LOW POWER ‘MICRO’ AC MOTOR DRIVE……………………………………………………….………….44
5.1 Case description………………………………….………………………44
5.1.1 Low Power ‘Micro’ AC Motor Drives………..……………………45
5.2 Demonstration………………………………………………………..…..46
5.2.1 The Voice of Customer Get from Market Survey………….….……46
5.2.2 The Application of Quality Function Deployment…………………47
5.2.3 The Application of Design Structure Matrices……………..………55
5.2.4 Assessing a Non-Iterative and Iterative Design Cycle Time…….…58
5.2.5 Reschedule by Overlap Method……………………………………61
5.3 Result Analysis……………………………………..…………………….65
CHAPTER 6 DISCUSSION AND CONCLUSION…………………..……….….67
REFERENCES…………………………………………………………………….69
LIST OF TABLES
Table 2.1 Simple Taxonomy of System Element Interaction…………..…………….15
Table 2.2 Example of a Spatial Interaction Quantification Scheme…………..15
Table 3.1 Levels of Information Variability …………………………..………….…25
Table 3.2 Levels of Task Sensitivity…………………………………..………….….25
Table 3.3 TV Values, Their Significance, and Proposed Strategies……………..26
Table 5.1 AC VFD Product Types Classified by Size………………..……………...45
Table 5.2 Relative Weighed Importance of User Requirements……...……………...46
Table 5.3 Affinity Diagram of Customer Requirements……………..……………...49
Table 5.4 Primary Customer Requirements…………………………..……………...50
Table 5.5 The Weighted Customer Requirements…………………..……………….50
LIST OF FIGURES
Figure 1.1 Thesis Organization…………………………………..………...……………5
Figure 2.1 Four-Phase Model of Quality Function Deployment…..………………….8
Figure 2.2 Three Possible Sequences for Two Design Tasks………..……………….10
Figure 2.3 Example Design Structure Matrix………………………..………………12
Figure 2.4 DSM Taxonomy…………………………………………..……………...13
Figure 3.1 Top-Level of Product Planning Framework………………..…………….19
Figure 3.2 Decomposed Sub-Function of Product Planning…...…………………….20
Figure 3.3 Decomposed Sub-Function of Convert the VOC……..………………….21
Figure 3.4 Decomposed Sub-Function of Scheduling Process……..………………..23
Figure 3.5 The Validation Process…………………………………..……………….27
Figure 3.6 Sequential and Overlapped Processes……………………..……………..28
Figure 3.7 The Framework of Product Planning………………………...…………...30
Figure 4.1 Systematic Matrix Calculations……………………………..……………33
Figure 4.2 The Five-Step Concept Generation Method…………………..………….34
Figure 4.3 Sample HOQ2 and Weighted the Design Activities by Teams………..…35
Figure 4.4 Sample Component-Based DSM with Activity Weights……………..….36
Figure 4.5 Sample clustered Component-Based DSM…………………………..…..37
Figure 4.6 Sample Task-based DSM……………………………………………..….38
Figure 4.7 Sample Gantt Chart…………………………………………………..…..39
Figure 4.8 Sample Numerical DSM with TV values…………………………..…….40
Figure 4.9 The Sequential Overlapped Activities……………………………..……..42
Figure 5.1 Affinity Diagram for Low Power ‘Micro’ AC Motor Drives…………..48
Figure 5.2 HOQ1……...……………………………………………………………...52
Figure 5.3 HOQ2……...……………………………………………………………...55
Figure 5.4 The Original DSM…………..……………………………………………56
Figure 5.5 Clustered Component-Based DSM by Design Teams…………..…….…57
Figure 5.6 Clustered Activity-based DSM…………………………………..……....58
Figure 5.7 Gantt Chart with Non-Iteration Activity………………………..……..…59
Figure 5.8 The Numerical DSM for Cycle Time…………………………..………...60
Figure 5.9 Gantt Chart with Iterative Activity………………………..………...61
Figure 5.10 The Numerical DSM for Cycle Time Assessment………….………….63
Figure 5.11 The Gantt Chart with Overlapped Activity………………….………….64參考文獻 Altus, S. S., Kroo, I. M., and Gage, P. J., “A genetic algorithm for scheduling and decomposition of multidisciplinary design problems,” in Proc. 21st ASME Design Automation Conf., Boston, MA, 1995.
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