Information Management to Support Concurrent Engineering Environments

Author(s):  
Roger Morenc ◽  
Ravi Rangan

Abstract The development of products in large industrial organizations involves numerous engineers from different disciplines working on inter-dependent components of the product with objectives that are sometimes in conflict. The need for overall coordination, consistency, control and integrity of data, design ideas and design rationale is critical. The information generated by each designer must be viewed in the context of information generated by other designers, and the enterprise as a whole. In this paper, we discuss a model of concurrent engineering that focuses on the ability of collaborating designers to proceed independently, co-relate inter-dependencies, utilize existing information (data, knowledge and processes), and negotiate conflicts arising from design inconsistencies. To provide information based support for such environments, we introduce several design schemas to support the concurrent, collaborative and historical aspects of CE environments. The need for a data dictionary that supports these schemas and its different dimensions is also recognized. The dictionary must also provide conceptual centralization of design information relative to the enterprise. This includes data, as well as its definition (meta-data), and must allow the design process to interact with a global enterprise perspective. These discussions lead to a list of research issues that must be addressed by the engineering data management research community.

2011 ◽  
Vol 201-203 ◽  
pp. 267-271
Author(s):  
Chiun Cheng Wen

Virtual enterprise and concurrent engineering are two of the most promising business strategies to address global competition. By unifying the concepts of virtual enterprise and concurrent engineering, allied concurrent engineering aims to integrate the engineering activities and resources from different enterprises through enterprise alliances to quickly respond to customer expectations. This paper presents a holonic system framework for engineering data management to support allied concurrent engineering. The framework is designed based on the concepts of holonic systems to reflect the distributed, collaborative, agile, dispersed and heterogeneous natures of allied concurrent engineering processes. In the proposed framework, key elements such as information items, libraries, and information management units etc. are defined as “holons” which have autonomous, cooperative and configurable properties.


Author(s):  
Ramgopal Kashyap

A large vault of terabytes of information created every day from present-day data frameworks and digital innovations, for example, the internet of things and distributed computing. Investigation of this enormous information requires a ton of endeavors at different dimensions to separate learning for central leadership. An examination is an ebb-and-flow territory of innovative work. The fundamental goal of this paper is to investigate the potential effect of enormous information challenges, open research issues, and different instruments related to it. Subsequently, this article gives a stage to study big data at various stages. It opens another skyline for analysts to build up the arrangement in light of the difficulties, and open research issues. The article comprehended that each large information stage has its core interest. Some of this is intended for bunch handling while some are great at constant scientific. Each large information stage likewise has explicit usefulness. Unique procedures were utilized for the investigation.


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