scholarly journals TOWARDS EFFECTIVE PROJECT DOCUMENTATION, TRANSPARENCY, AND DATA-DRIVEN DECISION-MAKING THROUGH BIM-BLOCKCHAIN BASED APPLICATIONS

2021 ◽  
Vol XLVI-4/W5-2021 ◽  
pp. 437-444
Author(s):  
F. Raco ◽  
M. Stefani ◽  
M. Balzani ◽  
L. Ferrari
Keyword(s):  
Decision Making ◽  
Life Cycle ◽  
Development Strategy ◽  
Research Collaboration ◽  
Research Output ◽  
Life Cycle Management ◽  
Information Modeling ◽  
Territorial Development ◽  
Public And Private ◽  
Structural Funds

Abstract. Even in the context of increasing digitisation, the construction sector continues to be characterised by redundancy, multiplication and, at the same time, a lack of transparency and disaggregation of data and information, leading to ineffective management of the time, costs and quality of the project life cycle. This paper shows the results of the development of an ICT application, TRL 4-5, based on the integration of Building Information Modeling and blockchain technologies and designed to foster digitisation processes in the supply chain, in the direction of greater transparency of information flows, knowledge-based organisations and decision-making processes based on unambiguous ordered data. Starting from a broader industrial research collaboration, the project involves a university spin-off, companies operating as system integrators and leaders in the customisation of BIM solutions for the Italian construction market. The project, launched as part of a network of public and private stakeholders established in 2019 and developed between September 2020 and March 2021, is part of a territorial development strategy financed by European Structural Funds. As a result, the research output is a prototype of ICT tool, which implements the Common Data Environment, CDE, making the life cycle management unambiguous, certified and clear. In this regard, the results of the project are meant to respond to the supply chain's need to encourage the digitisation and automation of processes, as well as to encourage the acquisition of unambiguous data, according to a big data approach.

Effectiveness Of Life Cycle Management Of Projects Using Information Modeling

2019 ◽  
pp. 24-29 ◽  
Keyword(s):  
Life Cycle ◽  
Construction Projects ◽  
Life Cycle Management ◽  
Information Modeling ◽  
Engineering Systems ◽  
Basic Principles ◽  
Complex Engineering ◽  
Domestic Practices ◽  
Capital Construction ◽  
Complex Engineering Systems

Improving the efficiency of life cycle management of capital construction projects using information modeling technologies is one of the important tasks of the construction industry. The paper presents an analysis of accumulated domestic practices, including the legal and regulatory framework, assessing the effectiveness of managing the implementation of investment construction projects and of complex and serial capital construction projects, as well as the life cycle management of especially dangerous technically complex and unique capital construction projects using information modeling technologies, especially capital construction projects, as well as their supporting and using systems, primarily in the nuclear and transport sectors. A review of modern approaches to assessing the effectiveness of life cycle management systems of complex engineering systems in relation to capital construction projects is carried out. The presented material will make it possible to formulate the basic principles and prospects of applying approaches to assessing the effectiveness of the life cycle management system of a capital construction project using information modeling technologies.

Life Cycle of Construction Objects at Information Simulation of Buildings and Structures

2019 ◽  
pp. 65-72 ◽  
Keyword(s):  
Life Cycle ◽  
Construction Projects ◽  
Life Cycle Management ◽  
Information Modeling ◽  
Sources Of Information ◽  
Logical Scheme ◽  
Modeling Technology ◽  
Information Models ◽  
Building Information ◽  
The Russian Federation

The variants of the division of the life cycle of a construction object at the stages adopted in the territory of the Russian Federation, as well as in other countries are considered. Particular attention is paid to the exemplary work plan – "RIBA plan of work", used in England. A feature of this document is its applicability in the information modeling of construction projects (Building information Modeling – BIM). The article presents a structural and logical scheme of the life cycle of a building object and a list of works that are performed using information modeling technology at various stages of the life cycle of the building. The place of information models in the process of determining the service life of the building is shown. On the basis of the considered sources of information, promising directions for the development of the life cycle management system of the construction object (Life Cycle Management) and the development of the regulatory framework in order to improve the use of information modeling in construction are given.

Life Cycle Management A Solution for Decision Making in the Global Market

1994 ◽  
Author(s):  
Robert J. Kainz ◽  
Michael S. Simpson ◽  
W. Charles Moeser
Keyword(s):  
Decision Making ◽  
Life Cycle ◽  
Life Cycle Management ◽  
Global Market

scholarly journals Symbiosis of life-cycle structural design and asset management based on Building Information Modeling: Application for industrial facility equipment

2020 ◽  
Vol 12 (1) ◽  
pp. 2170-2180
Author(s):  
Lisa Lenz ◽  
Kai Christian Weist ◽  
Marvin Hoepfner ◽  
Panagiotis Spyridis ◽  
Mike Gralla
Keyword(s):  
Life Cycle ◽  
Asset Management ◽  
Large Scale ◽  
Fatigue Loading ◽  
Life Cycle Management ◽  
Information Modeling ◽  
Cycle Performance ◽  
Industrial Facilities ◽  
Building Information ◽  
Time Dependencies

AbstractIn the last few years, particular focus has been devoted to the life cycle performance of fastening systems, which is reflected in increasing numbers of publications, standards and large-scale research efforts. Simultaneously, experience shows that in many cases, where fastening systems are implemented – such as industrial facilities – the design of fasteners is governed by fatigue loading under dynamic characteristics. In order to perform an adequate design and to specify the most efficient and appropriate fastening product, the engineer needs to access and process a broad range of technical and commercial information. Building information modelling (BIM), as a data management method in the construction industry, can supply such information and accommodate a comprehensive design and specification process. Furthermore, the application of BIM-based processes, such as the generation of a BIM-model, allows to use the important information for the construction as well as the life cycle management with different actions and time dependencies of the asset and its components. As a consequence, the BIM model offers the potential to correlate different data relevant for achieving the goals of the respective application, in order to ensure a more effective and correct design of the fastening. This paper demonstrates such a BIM-based design framework for an Industry 4.0 case, and in particular, the installation of a factory robot through post-installed anchors under fatigue-relevant loading in concrete.

scholarly journals Modularization as a system life cycle management strategy: Drivers, barriers, mechanisms and impacts

2019 ◽  
Vol 11 ◽  
pp. 184797901882504 ◽  
Author(s):  
Guido JL Micheli ◽  
Paolo Trucco ◽  
Yasmine Sabri ◽  
Mauro Mancini
Keyword(s):  
Decision Making ◽  
Life Cycle ◽  
Decision Maker ◽  
Paradigm Shift ◽  
Management Strategy ◽  
Strategic Choice ◽  
Life Cycle Management ◽  
Design Option ◽  
Comprehensive View ◽  
System Life

This literature-grounded research contributes to a deeper understanding of modularization as a system life cycle management strategy, by providing a comprehensive view of its key barriers, drivers, possible mechanisms of implementation and impact. This comprehensive view, arranged into a decision-making–driven ontology, enables a decision maker to systematically identify modularization implementation opportunities in different industrial and service domains. The proposed ontology transforms modularization into a fully operationalizable strategy and contributes to a paradigm shift in the understanding of modularization, from a pure design option (i.e. modularity) to a fully strategic choice that, by nature, impacts on many of the system’s life cycle phases and involves a number of stakeholders.

Identifying the Material Information Requirements for Sustainable Decision Making

2013 ◽  
Author(s):  
Anantha Narayanan ◽  
Paul Witherell ◽  
Jae Hyun Lee ◽  
K. C. Morris ◽  
Sudarsan Rachuri
Keyword(s):  
Decision Making ◽  
Life Cycle ◽  
Material Properties ◽  
Product Life Cycle ◽  
Product Information ◽  
Sustainable Manufacturing ◽  
Information Model ◽  
Information Modeling ◽  
Information Requirements ◽  
Material Information

Materials play a central role in product manufacturing, contributing to each phase of product development in the form of either a component or process material. As the product revolves around materials, so does much of the product information. Material information plays a significant role in the decision making process at any stage of the product life cycle, especially with respect to the sustainability of a product. Material information in the manufacturing stages of a product’s life cycle will relate to the processes used in manufacturing and assembling individual components. The material properties may determine what processes can be used and how these processes should be controlled. To support sustainable manufacturing, the impacts of material choice should be considered during design, when resources are being committed. When comparing material alternatives at design time, it is not as simple as saying one material is “more sustainable” than another. Many different factors determine the sustainability of a product, and each of these factors may be influenced by multiple material properties represented through various information requirements. In order to develop a material information model that can satisfy these information requirements, we need to carefully study the requirements from an information modeling perspective. In this paper, we use activity models to describe design and manufacturing scenarios that rely on the availability of proper material information for sustainability decision making. We will use these models to first define specific scenarios and then to identify the types of material information that is typically required in these scenarios, and collect and categorize key concepts. Based on this study, we will make recommendations that will aid the development of a useful material information model for sustainable decision making.

scholarly journals Evaluation of Investment Risks in CBA with Monte Carlo Method

2015 ◽  
Vol 63 (1) ◽  
pp. 245-251 ◽  
Author(s):  
Jana Korytárová ◽  
Barbora Pospíšilová
Keyword(s):  
Decision Making ◽  
Life Cycle ◽  
Development Strategy ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Decision Making Process ◽  
Public Project ◽  
Investment Projects ◽  
The Public ◽  
Whole Life Cycle

Investment decisions are at the core of any development strategy. Economic growth and welfare depend on productive capital, infrastructure, human capital, knowledge, total factor productivity and the quality of institutions. Decision-making process on the selection of suitable projects in the public sector is in some aspects more difficult than in the private sector. Evaluating projects on the basis of their financial profitability, where the basic parameter is the value of the potential profit, can be misleading in these cases. One of the basic objectives of the allocation of public resources is respecting of the 3E principle (Economy, Effectiveness, Efficiency) in their whole life cycle. The life cycle of the investment projects consists of four main phases. The first pre-investment phase is very important for decision-making process whether to accept or reject a public project for its realization. A well-designed feasibility study as well as cost-benefit analysis (CBA) in this phase are important assumptions for future success of the project. A future financial and economical CF which represent the fundamental basis for calculation of economic effectiveness indicators are formed and modelled in these documents. This paper deals with the possibility to calculate the financial and economic efficiency of the public investment projects more accurately by simulation methods used.

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