Persona, Alessandro, Battini, Daria, Manzini, Riccardo, and Pareschi, Arrigo
International Journal of Production Economics. Oct2007, Vol. 110 Issue 1-2, p147-159. 13p.
CONCURRENT engineering, RAPID prototyping, PRODUCTION scheduling, and INDUSTRIAL design
Abstract: In order to control the time to market and manufacturing costs, companies produce and purchase many parts and components before receiving customer orders. Consequently, demand forecasting is a critical decision process. Using modular product design and super bills of materials are two effective strategies for developing a reliable demand forecasting process. They reduce the probability of stockouts in diversified production contexts. Furthermore, managing and controlling safety stocks for pre-assembled modules provide an effective solution to the problem of minimizing the effects of forecast errors. This paper develops, evaluates, and applies innovative cost-based analytical models so that the optimal safety stock of modular subassemblies and components in assembly to order and manufacturing to order systems, respectively, can be rapidly quantified. The implementation of the proposed models in two industrial case applications demonstrates that they significantly reduce the safety stock inventory levels and the global logistical cost. [Copyright &y& Elsevier]
International Journal of Production Economics. Mar95, Vol. 38 Issue 2-3, p3-13. 11p.
CONCURRENT engineering, RAPID prototyping, JUST-in-time systems, TIME to market (New products), ENGINEERING, and UNCERTAINTY
The engineering process provides technical documents. It can be modeled by extending the Walrasian model. Concurrent engineering involves shortening of lead time and life cycle engineering. Shortening of lead rime can be done by choosing an uncertainty level and using an iterative algorithm to determine optimal concurrency. Cost uncertainty can be included by adding contingency. Cost and time uncertainty in a project can be catered for by providing risk buffers. [ABSTRACT FROM AUTHOR]
Yang, Ching-Chow, Chen, Shun-Hsing, and Shiau, Jiun-Yan
International Journal of Production Economics. May2007, Vol. 107 Issue 1, p179-189. 11p.
ENGINEERING, CONCURRENT engineering, RAPID prototyping, and INDUSTRIAL engineering
Abstract: The natural focus of concurrent engineering (CE) and design for X (DFX), as commonly used by manufacturing industry, is on product design or new service development. The present study applies the DFX technique in a CE environment to the planning and design of a new department in a university, and thus develops a comprehensive model for such an undertaking. The model identifies two stages in the overall process: the planning stage and the design stage. The planning stage includes four dimensions, whereas the design stage includes 11 dimensions. The dimensions are interdependent; indeed, the dimensions cannot be implemented separately and sequentially. The model must be implemented in a CE environment. A case study is then presented in which a department of leisure management at a university is established using the model described. The implications of the case study and the final conclusions of the paper are then presented. [Copyright &y& Elsevier]
International Journal of Production Economics. May2009, Vol. 119 Issue 1, p136-148. 13p.
CONCURRENT engineering, TIME to market (New products), PRODUCT management, INDUSTRIAL engineering, MANUFACTURING processes, JUST-in-time systems, RAPID prototyping, and NEW product development
Abstract: This article analyzes the link between the use of concurrent engineering (CE) and success in new product development (NPD) under varying conditions of uncertainty and complexity—radical versus incremental innovations. Using linear regression, the results obtained indicate that overlapping activities, inter-functional integration and teamwork positively affect NPD performance in terms of development time and new product superiority in the case of incremental innovations and in terms of development cost in the case of radical innovations. The conclusion is that the use of CE should be contingent to the context or particular conditions which characterize each innovation process and the order of priority given to the objectives pursued. [Copyright &y& Elsevier]
International Journal of Production Economics. Oct1995, Vol. 41 Issue 1-3, p311-320. 10p.
INDUSTRIAL design, MANUFACTURING processes, NEW product development, JUST-in-time systems, INDUSTRIAL engineering, and RAPID prototyping
This paper explains design maturity, why it is necessary to evaluate the maturity of designs, at what points in the development process accurate assessment would be most advantageous, and what these advantages might be. The paper explains that design maturity assessment is becoming increasingly necessary as companies move towards a Concurrent Engineering (CE) environment. This is in some part caused by the increasing levels of computer integration between functions which can reduce the visibility of the design process. Also, the increasingly competitive environment companies operate in requires a continuous reduction in development times through earlier information release to downstream activities both in and outside design, and outside the company when subcontractors are involved in product development. Examination of the structures involved in the design of products indicates where maturity assessment is required. Assessment of the characteristics of designers iterative processes may lead to methods of maturity assessment allowing managers to measure the levels of risk involved in releasing designs. The advantage of accurate maturity assessment would be less design. The bottom line result for companies who can measure their designs' maturity in-process may be a 100% increase in profits per design. [ABSTRACT FROM AUTHOR]