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

1994 ◽  
Author(s):  
Robert J. Kainz ◽  
Michael S. Simpson ◽  
W. Charles Moeser
2019 ◽  
Vol 11 ◽  
pp. 184797901882504 ◽  
Author(s):  
Guido JL Micheli ◽  
Paolo Trucco ◽  
Yasmine Sabri ◽  
Mauro Mancini

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.


2011 ◽  
Vol 250-253 ◽  
pp. 3150-3154
Author(s):  
Bao Quan Geng

Based on the project management with life-cycle management technology, this paper establishes a integrated system of life-cycle management (LCMIS) for large stadium construction project, which integrates decision making, design, construction and operation by two levels of entire life cycle and phrases. It resolves the existed problems of this kind of project, like the limitation of financing model, the disparity between design and construction, operation problems.


2020 ◽  
Vol 21 (4) ◽  
pp. 1217-1226
Author(s):  
Florian Zimmert ◽  
Thomas Braml ◽  
Manfred Keuser

Author(s):  
F. Raco ◽  
M. Stefani ◽  
M. Balzani ◽  
L. Ferrari

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.


2008 ◽  
Vol 56 ◽  
pp. 579-588 ◽  
Author(s):  
Dan M. Frangopol ◽  
Thomas B. Messervey

This paper investigates how the cost of structural health monitoring (SHM) technologies competitively fits into the life-cycle management of civil infrastructure. After a brief review of the aging infrastructure problem and a discussion of the technological, organizational, and societal complexities present, the need for synergistic adoptions-in-concert of common metrics, methods, and means of communication is addressed to develop a supporting platform upon which SHM systems can be developed and implemented. Using the costs associated with a recent bridge collapse, methods for the quantification of the utility of SHM are demonstrated. These methods include expanding upon existing and accepted practices, employing risk-based decision making, and calculating the benefit of monitoring in reliability-based life-cycle management models.


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