Increasingly shorter product life cycles impel rms to design, develop, and market more products in less time than ever before. Overlapping of design and development stages is commonly regarded as the most promising strategy to reduce product development times. However, overlapping typically requires additional resources and can be costly. Our research addresses the trade-o between product development time and costs and introduces an algorithm to determine an appropriate overlapping strategy under di erent scenarios. The methodology developed was successfully employed at Rocketdyne Division of Rockwell International. 1.

Abstract—This paper presents a process modeling and analysis technique for managing complex design projects using advanced simulation. The model computes the probability distribution of lead time in a stochastic, 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. We use a simulation-based analysis to account for many realistic aspects of design process behavior which were not possible in previous analytical models. We propose a heuristic for the stochastic, resource-constrained project scheduling problem in an iterative project network. The model can be used for better project planning and control by identifying leverage points for process improvements, and for evaluating alternative planning and execution strategies. An industrial example is provided to illustrate the utility of the model. Index Terms—Design iteration, design structure matrix, process modeling, project management, project simulation.

Abstract—Many firms expend a great amount of effort to increase the customer value of their product development (PD) processes. Yet, in PD, determining how and when value is added is problematic. The goal of a PD process is to produce a product “recipe ” that satisfies requirements. Design work is done both to specify the recipe in increasing detail and to verify that it does in fact conform to requirements. As design work proceeds, certainty increases surrounding the ability of the evolving product design (including its production process) to be the final product recipe (i.e., technical performance risk decreases). The goal of this paper is to advance the theory and practice of evaluating progress and added customer value in PD. The paper proposes that making progress and adding customer value in PD equate with producing useful information that reduces performance risk. The paper also contributes a methodology—the risk value method—that integrates current approaches such as technical performance measure tracking charts and risk reduction profiles. The methods are demonstrated with an industrial example of an uninhabited combat aerial vehicle. Index Terms—Lean, performance measurement, product development, project management, risk management, systems engineering, value stream. I.

Given the crucial role of process modeling in product development (PD) project management research and practice, and the variety of models proposed in the literature, a survey of the PD process modeling literature is timely and valuable. In this work, we focus on the activity network-based process models that support PD project management and present a comprehensive survey of the literature published in the last decade. To organize our survey, we use a framework based on the

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Regular Paper This paper provides a foundation for modeling the set of activities and their relationships by which systems are engineered, or, more broadly, by which products and services are developed. It provides background, motivations, and formal definitions for process modeling in this specialized environment. We treat the process itself as a kind of system that can be engineered. However, while product systems must be created, the process systems for developing complex products must, to a greater extent, be discovered and induced. Then, they tend to be reused, either formally as standard processes, or informally by the workforce. We distinguish and clarify several important concepts in modeling processes, including: product development versus repetitive business processes, descriptive versus prescriptive processes, activities as actions versus deliverables as interactions, standard versus deployed processes, centralized versus decentralized process modeling, “as is ” versus “to be ” process modeling, and multiple phases in product development. We also present a basically simple yet highly extendable and generalized framework for modeling product development processes. The framework enables building a single model to support a variety of purposes, including project planning (scheduling, budgeting, resource loading, and risk management) and control, and it provides the scaffolding for knowledge management and organizational

This paper explores the performance of coupled development activities by proposing a performance generation model (PGM). The goal of the PGM is to develop insights about optimal strategies (i.e., sequential, concurrent, or overlapped) to manage coupled design activities that share a fixed amount of engineering resources subject to performance and deadline constraints. Model analysis characterizes the solution space for the coupled development problem. The solution space is used to explore the generation of product performance and the associated dynamic forces affecting concurrent development practices. We use these forces to explain conditions under which concurrency is a desirable strategy.

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