Metrics thermostat

Authors
Citation
Jr. Hauser, Metrics thermostat, J PROD INN, 18(3), 2001, pp. 134-153
Citations number
64
Categorie Soggetti
Management,"Engineering Management /General
Journal title
JOURNAL OF PRODUCT INNOVATION MANAGEMENT
ISSN journal
07376782 → ACNP
Volume
18
Issue
3
Year of publication
2001
Pages
134 - 153
Database
ISI
SICI code
0737-6782(200105)18:3<134:MT>2.0.ZU;2-Y
Abstract
The explosion of information and information technology has led many firms to evolve a dispersed product development process with people and organizat ions spread throughout the world. To coordinate such dispersed processes a critical role of managers is to establish and foster a culture that implici tly rewards and motivates product development teams to perform against a se t of strategic metrics such as customer satisfaction. time to market, defec t reduction, or platform reuse. We focus on a practical method to fine-tune a firm's relative emphasis on these metrics. in particular, we seek to adv ise a firm how to modify their emphasis on each metric in order to improve profits. We use a thermostat analogy based on an adaptive control feedback mechanism in which we estimate the incremental improvements in priorities t hat will increase profits. Iterations seek to maximize profits even if the environment is changing. In developing the metric thermostat we recognize that there are hundreds of detailed actions, such as the use of the house of quality and the use of r obust design, among which the product development team must choose. We also recognize that team members will act in their own best interests to choose the actions that maximize their own implicit rewards as determined by the metrics. Management need not observe or dictate these detailed actions, but rather can control the process by establishing implicit weights on the met rics. The thermostat works by changing those implicit weights. We define the problem, introduce the adaptive control mechanism, modify "ag ency" theory Lo deal with incremental changes about an operating point, and derive methods that are practical and robust in light of the data that fir ms have available. Our methods include statistical estimation and internal surveys. The mathematics identify the critical few parameters that need be determined and highlight how to estimate them. Both the measures and the es timation are illustrated in an initial application to a large office-equipm ent firm with $20 billion in revenue. The metrics thermostat suggests that this firm has about the right emphasis on time-to-market, but has overshot on platform reuse and has lost its focus on customer satisfaction. We descr ibe how the firm reacted to the recommendations and changed its organizatio n. (C) 2001 Elsevier Science inc. All rights reserved.