Natural hazards vs. decision-making processes in buildings life cycle management

Author(s):  
N Basso ◽  
E Garavaglia ◽  
L Sgambi ◽  
N Imagawa
1994 ◽  
Author(s):  
Robert J. Kainz ◽  
Michael S. Simpson ◽  
W. Charles Moeser

2009 ◽  
pp. 1-10
Author(s):  
Albert Boonstra ◽  
Bert de Brock

The past few years, many organizations have been using the Internet in quite arbitrary and experimental ways. This phase, which can be considered as a period of learning and experimentation, has created a need for a more systematic approach to the identification, the ordering and the assessment of e-business options. It is the objective of this paper to address this need by presenting a methodology that aims at supporting management in using alternative e-business applications in the first stage of the decision-making process. Figure 1 shows how a systematic decision-making process can be organized by using e-business options. The steps are based on Simon’s intelligence, design, and choice trichotomy (Simon, 1960). First, alternative e-business options have to be identified and ordered. Then the possible options have to be assessed and selected. After this stage the selected opportunities have to be specified and designed. Next, implementation, operation, maintenance, and evaluation may follow. In Figure 1 this is called the “formal life cycle”. We will apply the word “e-business option” referring to the possibility to use an electronic network for a business purpose. An e-business opportunity is defined here as an assessed and selected e-business option. In practice, different intermediate feedback activities, interrupts, delays and adjustments are often necessary to reconsider earlier steps (Mintzberg, Raisinghani, & Théorêt, 1976). This is—among other reasons—because decision-making processes of this kind take place in dynamic environments and decisions are made in political contexts (Pettigrew, 2002). Moreover, participants in decision-making processes are often lacking the necessary information to make well-considered decisions right from the start (Miller, Hickson, & Wilson, 1996). In Figure 1 these activities are called “intermediate feedback”.


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.


2017 ◽  
Vol 12 (5) ◽  
pp. 51
Author(s):  
William Lin

Most entrepreneurial research has not addressed the phenomena of entrepreneurial teams adjusting their cognitive styles based on the different challenges they face during the new venture life cycle under startups, accelerators and incubators. Our objective in this article is to attempt to investigate the mechanism between effectuation and causation over the life cycle of ventures; and to explore the consequences of this transition and these mechanisms. Drawing on data from 64 in-depth interviews with 28 executive members, we recorded 172 key decisions chronologically and examined the pattern of decision-making processes. According to our observations and interviews, many companies remain at the survival stage for some time even when they know their breakeven point is reachable. We found that the remaining decision, the decision to remain below breakeven, is a signal of cognitive style transition from a dominantly effectual model of decision-making and action to a causation model. Our examination supported the mechanisms with effectuation principles and explored how the transitions between the two decision-making processes impact start-up teams. Our study not only extends effectuation research by examining the significant timing for transition timing, but also sheds light on entrepreneurial research by integrating and synthesizing transaction cost economics.


Author(s):  
Handson Claudio Dias Pimenta ◽  
Reidson Pereira Gouvinhas ◽  
Stephen Evans

Designers make decisions that ultimately impact on both the economic and environmental performance of the products, and many of these costs and impacts occur across the supply chain. This paper proposes an eco-efficiency model for product life cycle management within the extended supply chain (ESC) for food industry. Eco-efficiency (EE) has the potential to incorporate both environmental and economic improvement by companies of ESC, and we explore the use of EE in the design process.  It is noteworthy that it is an imperative in the current competitive market that companies must be able to manage their entire production chain taking into account environmental issues as an important factor in their decision-making processes. Therefore, it is believed that EE can integrate and strengthen a company’s functions and assist its decision-making processes as well as implement improvements within its ESC. In this context, it is expected that the proposed model will be able to deliver a validation process based on EE strategies as well as map environmental aspects and its impacts. In addition, the proposed model aims to consider economic aspects along the product ESC and to present elements which can help companies to promote improvements within its supply chain by considering a more environmentally friendly perspective.


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.


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