http://hdl.handle.net/1721.1/3769 http://dspace.mit.edu:80/retrieve/3544 http://hdl.handle.net/1721.1/3769 http://hdl.handle.net/1721.1/3808 Patterns of Product Development Interactions Eppinger, Steven Salminen, Vesa Development of complex products and large systems is a highly interactive social process involving hundreds of people designing thousands of interrelated components and making millions of coupled decisions. Nevertheless, we have created methods to study the development process, identify its underlying structures, and critique its operation. In this article, we introduce three views of product development complexity: a process view, a product view, and an organization view. We are able to learn about the complex social phenomenon of product development by studying the patterns of interaction across the decomposed elements within each view. We also compare the alignment of the interaction patterns, between the product, process, and organization domains. We then propose metrics of product development complexity by studying and comparing these interaction patterns. Finally, we develop hypotheses regarding the patterns of product development interactions, which will be helpful to guide future research. INTERNATIONAL CONFERENCE ON ENGINEERING DESIGN ICED 01 GLASGOW, AUGUST 21-23, 2001 http://hdl.handle.net/1721.1/3807 Product Development Process Modeling Using Advanced Simulation Cho, Soo-Haeng Eppinger, Steven This paper presents a product development process modeling and analysis technique using advanced simulation.The model computes the probability distribution of lead time in a resource-constrained project network where iterations take place among sequential, parallel and overlapped tasks. The model uses the design structure matrix representation to capture the information flows between tasks. In each simulation run, the expected durations of tasks are initially sampled using the Latin Hypercube Sampling method and decrease over time as the model simulates the progress of dynamic stochastic processes. It is assumed that the rework of a task occurs for the following reasons: (1) new information is obtained from overlapped tasks after starting to work with preliminary inputs, (2) inputs change when other tasks are reworked, and (3) outputs fail to meet established criteria. The model can be used for better project planning and control by identifying leverage points for process improvements and evaluating alternative planning and execution strategies. An industrial example is used to illustrate the utility of the model. http://hdl.handle.net/1721.1/3806 Patent Litigation As a Leading Market Indicator Tang, Victor Huang, Biao The purpose of this paper is to introduce patent litigation as a leading indicator of market growth. We model the intensity of patent litigation and the market growth for the personal computer and cellular phone market in the US. By means of these analytic models, we show that patent litigation is a leading indicator to market growth. We are also able to very precisely delineate discrete stages of the product’s market life cycle and demarcate the time when life-cycle transitions are about to take place. We close this paper with a discussion on new lines of patent research that are potentially useful for managerial practice and for investment decisions.