2002 Product Development Metrics Research Results
Publisher Name » Goldense Group Inc
Published Date » 2003-03-28
No. Of Pages » 223
The 2002 Product Development Metrics Survey focused on resource and capacity management practices and metrics. Results of the research are offered in three reports of increasingly detailed description and analysis: Research Highlights (MR21), Research Summary (MR22), and Research Results (MR24).
The first two reports, MR21 and MR22, analyze the survey population as a whole. MR21 is an “all text” summary of the findings. MR22 contains all the text of MR21 as well as a graphical analysis of each survey question. MR24 contains everything contained in MR22, plus text and graphics for five different segment analyses of the survey population. The 2002 Product Development Metrics Research Results is a 223-page report containing text and presentation slides that describe and analyze the survey population both as a whole and segmented as follows: Public vs. Private Companies; Smaller vs. Larger Companies; Process vs. Repetitive/Discrete vs. Job Shop Companies; Higher vs. Lower Technology Companies; and Companies with More vs. Fewer Employees. The report summarizes the overall survey results and provides details on the profiles of the survey respondents; loading the RD&E capacity pipeline; providing capacity for RD&E activities; balancing cross-functional resources (staffing ratios); systems, tools, and metrics used to manage capacity; and RD&E metrics used in industry.This research provides interesting results regarding the methods companies use to select projects and to establish and manage backlog. The report provides details on staffing ratios and the resources, both within the development function and in the cross functions, that companies are allocating to new and existing products. Also discussed is the infrastructure in place to enable resource and capacity planning and management.
Table of Content
I. Key Findings 3
II. Composite Results
A. Respondent Profile 13
B. Loading The RD&E Capacity Pipeline 31
C. Providing Capacity For RD&E Activities 52
D. Balancing Cross-Functioal Resources 61
E. Using Systems, Tools & Metrics To Manage Capacity 90
F. R&D Metrics Using In Industry 107
III. Segment Results
Public vs Private Companies 120
Smaller vs. Larger Companies 142
Process vs. Repetitive/discrete vs. Job Shop Operations 162
Higher Technology vs. Lower Technology Companies 178
More vs. Fewer Employees 202
Authors 222
I. Key Findings 3
II. Composite Results
A. Respondent Profile 13
B. Loading The RD&E Capacity Pipeline 31
C. Providing Capacity For RD&E Activities 52
D. Balancing Cross-Functioal Resources 61
E. Using Systems, Tools & Metrics To Manage Capacity 90
F. R&D Metrics Using In Industry 107
III. Segment Results
Public vs Private Companies 120
Smaller vs. Larger Companies 142
Process vs. Repetitive/discrete vs. Job Shop Operations 162
Higher Technology vs. Lower Technology Companies 178
More vs. Fewer Employees 202
Authors 222
List of Tables
List of Figures
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