Engineer-To-Order Product Development

2016 ◽  
pp. 43-59
Author(s):  
Richard Addo-Tenkorang ◽  
Petri Helo ◽  
Jussi Kantola
Keyword(s):  
Product Development ◽  
Competitive Advantage ◽  
New Product Development ◽  
Information Exchange ◽  
Lead Times ◽  
Sustainable Competitive Advantage ◽  
Systems Architecture ◽  
Complex Product ◽  
Process Improvements ◽  
Engineer To Order

Industrial manufacturers' complex product-development activities have seen various advancement and improvement approaches over the past decades. In order to enable the implementation of efficient and effective product-development support processes in the quest of achieving shorter product development lead-times and higher return on investments (ROIs). Engineer-To-Order (ETO) product capacity projects, including large electric machine, huge centrifugal pumps, Diesel/Natural fuel power plant engines, steam turbine, boiler, ship, etc., have challenges concerning their long product-development lead-times. The challenges confronting these enterprises industrial Original Equipment Manufacturers (OEMs) are enormous with one of the major ones being the effective and efficient network or flow of technical communication among the main stakeholders for complex / new product-development. Moreover, with all the industrial manufacturing complex product-development process improvements, in terms of complex engineering design and delivery, there are still a lot more variances to be addressed on the ‘better, faster and cheaper' paradigm. Furthermore, attention is needed on efficient information exchange systems as well as effective operational communication in their complex product-development processes for a sustainable competitive advantage. Therefore, this paper presents a proposed optimum conceptual information technology systems' architecture towards enhancing an industrial sustainable competitive advantage: By employing social network theory (SNT) analysis to advise on a strategic and effective communication network for industrial supply-chain (SC) sustainable competitive advantage.

Innovating the Product Development Organisation

Designers ◽  
1998 ◽  
pp. 183-195
Author(s):  
Mogens Myrup Andreasen ◽  
Lars Hein
Keyword(s):  
Product Development ◽  
Development Organisation

Enhancing Engineering Education

2001 ◽  
Vol 15 (5) ◽  
pp. 341-347
Author(s):  
John L. Politis ◽  
Steven B. Shooter
Keyword(s):  
Product Development ◽  
Small Firms ◽  
Engineering Students ◽  
Team Approach ◽  
Faculty Work ◽  
Process Improvements ◽  
Prototype Development ◽  
Small Business Development Center ◽  
College Of Engineering ◽  
Development Center

The Bucknell University Small Business Development Center (SBDC), home of the Product Development Center (PDC), assists inventors and small firms in transforming their ideas into marketable products. The PDC combines traditional management services with the resources and expertise of a top-notch engineering department. The PDC provides assistance on various types of projects, including product design, prototype development, product testing, feasibility analysis, and process improvements. In response to the increasing demand for these services, the PDC has increased the number of engineering students employed in the Center. Since the SBDC is housed in the College of Engineering, students and engineering faculty work closely with industry counterparts in the design and development of new products. The Stage-GateTM process has been successfully implemented to create a multidisciplinary team approach to product development. The results have been remarkable, with measurable benefit to the College's educational mission and to private enterprise. This paper highlights the Bucknell University Product Development Center and how industry and education can collaborate most effectively to achieve excellent results.

scholarly journals Product Development Process Modeling Using Advanced Simulation

2001 ◽  
Author(s):  
Soo-Haeng Cho ◽  
Steven D. Eppinger
Keyword(s):  
Product Development ◽  
Process Modeling ◽  
Development Process ◽  
Latin Hypercube Sampling ◽  
Project Planning ◽  
Product Development Process ◽  
Modeling And Analysis ◽  
Process Improvements ◽  
Design Structure ◽  
Dynamic Stochastic

Abstract 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.

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