Exploring product complexity and prototype lead-times to predict new product development cycle-times

2021 ◽  
Vol 235 ◽  
pp. 108077
Author(s):  
Rubén Darío Solarte Bolaños ◽  
Sanderson César Macêdo Barbalho
1996 ◽  
Vol 36 (2) ◽  
pp. 179-188 ◽  
Author(s):  
Douglas W. LaBahn ◽  
Abdul Ali ◽  
Robert Krapfel

2014 ◽  
Vol 8 (1) ◽  
pp. 41-53 ◽  
Author(s):  
Turki Abdullah Alanazi ◽  
Asmat Nizam Abdul Talib ◽  
Hasbullah Ashari ◽  
Rabiul Islam

1997 ◽  
Vol 34 (1) ◽  
pp. 24-35 ◽  
Author(s):  
Abbie Griffin

As global competitive pressure increases and product life cycles compress, companies are trying to shorten product development cycle times. The author investigates the relationship between the actual length of product development cycle times (in months) and several basic product development project strategy and process characteristics. The research quantifies how product development cycle times increase with increased product complexity and with product newness, how using a cross-functional team interacts with product newness in the way it acts to reduce cycle time, and how using a formal product development process interacts with product complexity in the way it acts to decrease cycle time. The findings suggest that using cross-functional teams is more important in projects in which less of the design is a carryover from a previous generation. Teams then had a large impact in reducing product development cycle times. In contrast, implementing a well thought-out process is more important in firms (or divisions of firms) developing complex products or services. The more complex a product, the more time a formal process eliminates from the development cycle.


2002 ◽  
Vol 30 (4) ◽  
pp. 794-797 ◽  
Author(s):  
S. Wilson ◽  
S. Howell

The diagnostics industry is constantly under pressure to bring innovation quicker to market and so the impetus to speed up product-development cycle times becomes greater. There are a number of steps in the product-development cycle where the application of high-throughput screening can help. In the case of lateral-flow immunodiagnostics the selection of antibody reagents is paramount. In particular, rapid identification of antibody pairs that are able to ‘sandwich’ around the target antigen is required. One screen that has been applied successfully is the use of surface plasmon resonance biosensors like Biacore®. Using such a system one can evaluate over 400 antibody pairings in under 5 days. Conventional approaches to screen this number of antibody pairs would take many months. Other automated screening systems like DELFIA® can be used in processing the vast amount of tests required for clinical trials. In addition, the use of robotics to automate routine product testing can be used to shorten the product-development cycle.


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