Development of flexible and collaborative process information management system for product development process of semi-custom product

2003 ◽  
Vol 2003.13 (0) ◽  
pp. 268-270 ◽  
Author(s):  
Hajime Shiba ◽  
Tsuyoshi Maeda ◽  
Takafumi Nakayama
2013 ◽  
Vol 11 (1) ◽  
pp. 33-41 ◽  
Author(s):  
Fernanda Albuquerque Cunha ◽  
Jarina dos Passos Silva ◽  
Aline Capanema de Barros ◽  
Eduardo Romeiro

Author(s):  
Ho-Jin Hwang ◽  
Soo-Hong Lee

Abstract This study proposes a process information model which can integrate various activities during the product development process, and develops the system which can manage the process. Development process information will allow designers and managers to access previous tasks readily arid utilize the information in making decisions at hand. While developing products in heterogeneous and distributed environments, concurrent and collaborative designs can be achieved by STEP. The process model in this study divides the. task of product development into two fundamental parts, Specific Process (SP) and Normal Process (NP). SP includes the specific information and refer to those defined by prior STEP. NP is routine process excluded from being defined as SP. Due date information can be added to manage development pace and to show delayed tasks. As two or more different processes can be linked to show the entire development flow, static STEP information can be dynamically interlaced. Remote location operations cm be incorporated on the Internet using STEP, and information can be shared. The system has been built upon a process model schema so that task stage, design history, and different development style can be managed and accessed for each component. The system has been proven efficient in information management and exchange by several scenario testings.


2002 ◽  
Vol 10 (3) ◽  
pp. 203-211 ◽  
Author(s):  
Fu Qian ◽  
Zhang Shensheng

Product data management (PDM) systems are enabling tool of concurrent engineering (CE). Although the PDM system provides good support for product data, particularly at the early stages of design, it is seldom used beyond the design process. Furthermore, it provides few facilities for activity definition and no facilities for the enactment of production activities. In order to manage the whole lifecycle of motorcycle development, this paper presents a product development process management system that integrates the workflow management system (WFMS) with the PDM. On one hand we can use the powerful product data management functionality of PDM systems, on the other hand we can use the effective process management and control functionalities of WFMS. For the sake of guiding and constraining the workflow modeling, we provide an integrated product development workflow model named P_PROCE model. It is made up of five views that are the process view(P), the product view(P), the resource view(R), and the organization view(O), the control & evaluation view(CE). Based on this model, the architecture and implementation of the product development process management system is presented. It consists of the workflow modeling module, the workflow enactment module and the PDM system. The first module includes process modeling, system sustain and API. The second module includes the personal desktop and the workflow engine. The PDM system is regarded as a workflow-enabled application. The workflow engine invokes it by the Tool Agent.


Author(s):  
Lawrence P. Chao ◽  
Kosuke Ishii

This paper presents a framework for representing and deploying error-proofs (poka-yoke) in the product development process. Information technology (IT) already plays a key role in product development through tools such as numerical computation, CAD, simulations, and process planning. Information management for error-proofing in manufacturing is also quite common in many industries. However, experts agree that many field failures and quality problems stem back to errors in engineering design. While there are many case studies on design process error-proofing, one must deploy them through leveraging engineering information systems for them to be effective. Towards this goal, this paper proposes the use of quality function deployment (QFD) to characterize potential design errors, evaluate the risks, identify effective error proofing elements, and prioritize their implementation.


Author(s):  
M. V. Karnik ◽  
S. K. Gupta ◽  
D. K. Anand ◽  
F. J. Valenta ◽  
I. A. Wexler

This paper provides an overview of the Design Navigator system being developed for the Naval Surface Warfare Center, Indian Head. This system addresses the following three information management needs. First, it captures all the relevant information being generated during the product development process in a computer-interpretable form. This eliminates information loss from the design process. Second, it builds fully interconnected information models. Thus ensuring full connectivity between requirements and specifications to various parts and assemblies in the design. Third, it offers multiple modes of searching and retrieving design information in an intuitive and convenient manner. By supporting functionality-based queries, change-based queries, geometry-based queries, and visual navigation of the entire product database, the Design Navigator system is expected to offer maximum flexibility and power to the designers to meet their diverse information retrieval needs.


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