Requirement management in a life cycle perspective based on ISO 19650-1 and CoClass as the new classification system in Sweden

Abstract

PurposeEach building project demands an integrated method for information and requirement management in its life cycle. The main purpose of this paper is to explore the major obstacles in integrated life cycle information management and recognize the potentials of CoClass as the new Swedish digital classification system to tackle them throughout asset life cycle.Design/methodology/approachThe industry viewpoint toward the current status of asset information management considering ISO 19650-1 principles and the existing obstacles and the industry practitioners' ideas regarding CoClass capabilities and applicability were captured and analyzed. A total of 13 semistructured interviews were conducted with the AECO industry professionals to have an understanding of information requirement management. Then the results were analyzed qualitatively, using the NVivo 12 software. Different attributes of a component (heating panel) in a meeting room according to CoClass and data deviations throughout the asset life cycle were elaborated.FindingsThis study reveals some obstacles in information management process in seven categories in relation to: (1) the need to employ information exchange platforms as common data environments (CDEs) by all actors from early stages; (2) the communication issues caused by lack of utilizing common languages; (3) the costly and time-consuming implementation process; (4) the misunderstandings in terms of data communication between service providers and owners; (5) the definition and fulfillment of information requirements as well as keeping track of data deviations throughout asset life cycle; (6) the information update difficulty; and (7) the need for training practitioners dealing with new systems such as CoClass.Originality/valueThe research explores the major obstacles in information requirement management concerning the practical implementation of the new Swedish classification system, CoClass, supporting the asset life cycle.

Coding structure of digital highway model and implementation of automatic encoding based on rule engine

“…However, these systems need to be customized according to local regulations and technical requirements, and specific classification tools must be developed to convey and present building information in standardized formats throughout the lifecycle [5] . Using information classification systems for full lifecycle information management of projects still faces challenges such as the lack of information exchange platforms from the early stages, communication issues due to a lack of a common language, defining and implementing information requirements, and tracking data deviations in asset lifecycles, as well as difficulties in information updates [6] . Literature [7] analyzes the lack of conceptual frameworks and theoretical foundations in international and national information classification standards for digital management and asset information management in the construction industry and proposes an extensible conceptual framework for lifecycle information exchange to define, manage, and integrate project and asset information.…”

Common data environments in construction: state-of-the-art and challenges for practical implementation

“…Problems related to data compatibility occur even while working between different versions of the same software (Soman and Whyte, 2020). Another problem related to communication is the lack of a common language, as there are too many developed standards and classification systems, which are costly and time-consuming to implement (Sadrinooshabadi et al, 2021). Open standards, such as ISO16739 Industry Foundation Class (IFC), have been developed to overcome interoperability (Turk et al, 2022).…”

Data-Driven Platform Framework for Digital Whole-Process Expressway Construction Management

“…For the construction industry, this refers to the use of information technology, process integration, and manual operations in all processes of project planning, construction, and operation to complete the integrated management of construction project data ( Zhuang et al, 2021 ). The advantages of introducing information management are obvious as the efficient management and interaction of all construction engineering information reduces the repetitive investment in each system of the construction project, avoids the waste of resources, and ultimately improves the overall efficiency of the construction project ( Zhang et al, 2018 ; Sadrinooshabadi et al, 2021 ). The introduction of construction whole-process management can shorten construction time by nearly 5%, and reduce the time spent on data query by 1/2 and the time spent on information interaction between 1/3 and 3/5.…”