The mythical man-month (anniversary ed.)
The mythical man-month (anniversary ed.)
Optimal timing of reviews in concurrent design for manufacturability
Management Science
A model-based framework to overlap product development activities
Management Science - Special issue on frontier research in manufacturing and logistics
Communication and Uncertainty in Concurrent Engineering
Management Science
Managing new product definition in highly dynamic environments
Management Science
Software Engineering Economics
Software Engineering Economics
Managing Development Risk in Product Design Processes
Operations Research
Measuring the Effectiveness of Overlapping Development Activities
Management Science
Time-Cost Trade-Offs in Overlapped Product Development
Operations Research
Sequential Testing in Product Development
Management Science
Product Development Decisions: A Review of the Literature
Management Science
Engineering Applications of Artificial Intelligence
A Hierarchical Framework for Organizing a Software Development Process
Operations Research
An analogy based estimation framework for design rework efforts
Journal of Intelligent Manufacturing
Hi-index | 0.00 |
This research addresses two common tools for reducing product development lead times: overlapping of development stages and crashing of development times. For the first time in the product development literature, a formal model addresses both tools concurrently, thus facilitating analysis of the interdependencies between overlapping and crashing. The results exhibit the necessity of addressing overlapping and crashing concurrently, and exhibit general characteristics of optimal overlapping/crashing policies. The impact of different evolution/sensitivity constellations on optimal policies is investigated, and comprehensive guidelines for structuring development processes are provided. For the special case of linear costs, an efficient procedure is presented that generates the efficient time-cost trade-off curves and determines the corresponding optimal overlapping/crashing policies. The impact of key parameters and the robustness regarding their estimates is illustrated with a simple two-stage example.