Palos, S; Kiviniemi, A and Kuusisto, J (2014) Future perspectives on product data management in building information modeling. Construction Innovation, 14(1), pp. 52-68. ISSN 1471-4175
Abstract
Purpose - It has been argued that product data libraries have the potential to improve global real-estate development and increase productivity. Product data libraries provide the basis to support diverse national classification systems and different languages. The aim of this paper is to identify product data management (PDM) systematics and recommend future development needs to building product libraries, focusing on the functional shortcomings and data processing deficiencies found in the current libraries. Design/methodology/approach - A literature review of state-of-the-art practices of BIM within the construction industry was conducted including product libraries, supply chains, guidelines, industry tools and practices, and general use of BIM. Findings from the literature review were complemented with insights from the academia and industry by obtaining data through focused interviews with experts who were chosen based on their prestige and reference. Findings - As a result of the studies performed for this article, roadmaps are proposed for product library implementation globally. The role of standardization in implementing BIM-compatible product libraries is highlighted. Originality/value - This article covers the state-of-the-art practices of PDM in BIM libraries, which is useful for the development of coherent BIM libraries for the AEC industry worldwide.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | supply chain management,data collection,BIM,product information,product library |
| Index terms: | methodology, data processing, state of the art, literature review, interview, implementation, construction industry, standardization, academia, product library, productivity, data management, product information, building information modelling |
| Subjects: | educational institutions, data management, information systems, industry analysis, research methods, management, performance measurement, modelling and simulation, data science, data analysis and analytics, contractual arrangements, data collection methods, research dissemination and communication, innovation studies |
| Topics: | Business Strategy, Research Practice, Engineering Principles, Procurement, Digital Applications, Quality Management, Education |
| Descriptive scope: | 5 PCTEA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here