Integral Potential Effectiveness of Organizational and Technological and Managerial Decisions of Building Object

2014 ◽  
Vol 584-586 ◽  
pp. 2230-2232 ◽  
Author(s):  
Lapidus Azariy

<p class="p0">Investment and construction project from the perspective of systems engineering and using existing terminology systems engineering construction, formed from the studied model of organizational and technological modules ( OTM ) - potentials , representing a collection of process groups , united by a common organizational approach, process sequence , functional purpose , as well as other organizational, technological and managerial factors . The impact of these factors on the final figure will be provided throughout the project life cycle. The assessment of this impact - a key link in the task of monitoring the desired end point of the object construction - its security and comfort of life of people. Call this integral component of organizational and technological potential of the object. Significant difference from the building techniques used in the evaluation of the final index integral approach to the factors shaping it. To study the model of integral organizational and technological capabilities are introduced the following notation : PI - integral (integral) capacity (potential), represents a generic parameter that characterizes the achievement of the required endpoints construction.</p>

2021 ◽  
Author(s):  
Murnisa Esro ◽  
Mohd Hafizd Yahaya ◽  
Nur Shairah Ahmad

Abstract This paper will describe the common challenges faced by both Project Management Team (PMT) and Asset Owner when projects come to the tail end and due for handover. It highlights the impact of improper handover of projects to the company as a whole and provides some proposals to address the common project handover issues. This paper will cover mainly on project handovers for upstream projects especially related to offshore facilities. This paper is written based on sample of projects done at offshore Malaysia. It highlights the common handover issues such as PMT not able to handover timely to the Asset Owner although the facilities are running, and production had been achieved. The longer it takes to handover, the more monetary value leakage will be wasted as a result of no equipment preventive maintenance, warranty of equipment could expire or void, and paying higher construction insurance coverage. This can be prevented by a proper and early planning in managing handover, inclusion of segmented provisional acceptance criteria in the contract as well as having frequent engagement between PMT and Asset Owner prior to stages of handover during project execution. Understanding of each stakeholders' expectations is also one of the key success factors. This paper will conclude that there are many common handover issues when it comes to project handover. Most of the issues are the results of misunderstanding of each stakeholder's expectation, poor early handover planning and unclear scope of acceptance in the contract. In most cases the impact will lead to unrealized monetary value leakage. Early handover planning, clear scope covered in the contract, good coordination between PMT and Asset Owner, good teamwork and mindset, blending with some interpersonal skills in managing conflicts are among the key success factors. The key highlights in this paper will help PMT and Asset Owner in better managing the project handover. This will improve project delivery to meet target schedule within scope and budget. This will eventually safeguard overall company investment and avoid any risk on uncertainty of care and custody transfer at the end of a project life cycle.


Resources ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 39
Author(s):  
Andrzej Gałaś ◽  
Alicja Kot-Niewiadomska ◽  
Hubert Czerw ◽  
Vladimir Simić ◽  
Michael Tost ◽  
...  

Events that change the global economy rapidly, without warning, in principle strongly affect mining, which is one of the pillars of global development. After the first months of the Covid-19 pandemic, the mining pillar seems to be relatively stable. In this study, thanks to the meeting of an international team, it was possible to collect and compare a set of data on the impact on mining. In contrast to the general assessments of the stability of the mining sector, the authors decided to assess the impact of Covid-19 at individual stages of the mining project life cycle. In this way, it was possible to identify the most impacted fragments of the mining pillar. It was assessed that the highest influence of Covid-19 is observed in projects implementing feasibility studies and in projects for the development of new mines. The same is true of extracting residual resources in mines prior to the closure decision. The medium impact was confirmed at the exploration and discovery stage. The authors conclude that the impact on the current mining production is smaller and the effects in this case are short term, which is mainly due to a continued strong demand for minerals in China, which has balanced the weaker demand in other parts of the world. On the other hand, stopping the exploration and development of new mines will have a long-term impact, including an increased possibility of disruption of the future security of supplies of raw materials.


2015 ◽  
Vol 12 (4) ◽  
pp. 15-28 ◽  
Author(s):  
Salman Azhar ◽  
Malik Khalfan ◽  
Tayyab Maqsood

Building Information Modeling (BIM), also called n-D Modeling or Virtual Prototyping Technology, is a revolutionary development that is quickly reshaping the Architecture-Engineering-Construction (AEC) industry. BIM is both a technology and a process. The technology component of BIM helps project stakeholders to visualize what is to be built in a simulated environment to identify any potential design, construction or operational issues. The process component enables close collaboration and encourages integration of the roles of all stakeholders on a project. The paper presents an overview of BIM with focus on its core concepts, applications in the project life cycle and benefits for project stakeholders with the help of case studies. The paper also elaborates risks and barriers to BIM implementation and future trends.


2020 ◽  
Vol 164 ◽  
pp. 10046
Author(s):  
Anatoliy Trebukhin ◽  
Ella Okolelova ◽  
Marina Shibaeva

The paper presents the results of research in the field of life cycle management of innovative projects through the use of portfolio approach techniques. A methodology for assessing risks and forecasting expected economic results in the analysis of life cycle stages is proposed. Existing approaches to determining the level of competitiveness of planned innovations in the portfolio are considered. A sequence of managing parameters of the project life cycle has been developed, which allows choosing the optimal set of risk management methods within the framework of an innovative project. Based on the identified factors that increase and reduce the impact of a particular risk on the innovation implementation process, methods are proposed for monitoring the competitiveness of projects, which allow assessing the most effective areas for their implementation.


2021 ◽  
Vol 258 ◽  
pp. 09052
Author(s):  
Andrey Schreiber ◽  
Ivan Abramov ◽  
Zaid Al-Zaidi

Many changes have occurred in the construction industry over the past few years as a result of the development of technologies and specifications of the materials used and modern technologies, which led to an increase in the accuracy and speed of implementation of various stages of the project life cycle, and it became important to anticipate external and internal risks of the project and plan a response to these risks, since they have the effect of an unaccounted price increase and an excess of the contract period. From this perspective, risk assessment was a necessary tool to determine the risks to which the project was exposed in order to find the best way to deal with them. The aim of the study is to identify the most significant types of risk factors faced by the construction industry, which lead to exceeding the specified time for implementation and to large losses, which helps stakeholders in this area to predict potential obstacles and be able to quickly make appropriate decisions. To achieve this goal, a questionnaire survey was conducted to collect information from specialists in the construction industry, as well as references in this field to express an opinion on the intensity of the impact of each studied risk factor. Thereafter, Monte Carlo simulations were used to assess the risk factors studied. The study found that Monte Carlo simulations, which depend on repeated scenarios hundreds or thousands of times, can provide an accurate estimate of the risks faced by investment and construction projects in conditions of uncertainty.


Author(s):  
Charlotte E. L. Gilder ◽  
Martin Geach ◽  
Paul J. Vardanega ◽  
Elizabeth A. Holcombe ◽  
Paul Nowak

The sharing of ground investigation (GI) data within the UK is commonly practised only in large infrastructure projects. A vast amount of GI data collected on routine projects is commonly not made publicly available which is arguably inefficient and potentially unsustainable. This paper captures the opinions of the geoscience community and the GI industry on data sharing to better understand current working practices and potential barriers to data sharing. The results of a survey carried out at the Janet Watson Meeting 2018: A Data Explosion: The Impact of Big Data in Geoscience held at the Geological Society of London are reported. This survey is compared with the results of interviews undertaken during the Dig to Share project, a collaborative project led by Atkins, British Geological Survey (BGS) and Morgan Sindall. The opinions and practices of geoscientists towards data sharing across a project life cycle are reviewed. Drivers of risk relating to geotechnical aspects of a project are directly linked to current data sharing practice.Thematic collection: This article is part of the Digitization and Digitalization in engineering geology and hydrogeology collection available at: https://www.lyellcollection.org/cc/digitization-and-digitalization-in-engineering-geology-and-hydrogeology


GeroPsych ◽  
2014 ◽  
Vol 27 (4) ◽  
pp. 171-179 ◽  
Author(s):  
Laurence M. Solberg ◽  
Lauren B. Solberg ◽  
Emily N. Peterson

Stress in caregivers may affect the healthcare recipients receive. We examined the impact of stress experienced by 45 adult caregivers of their elderly demented parents. The participants completed a 32-item questionnaire about the impact of experienced stress. The questionnaire also asked about interventions that might help to reduce the impact of stress. After exploratory factor analysis, we reduced the 32-item questionnaire to 13 items. Results indicated that caregivers experienced stress, anxiety, and sadness. Also, emotional, but not financial or professional, well-being was significantly impacted. There was no significant difference between the impact of caregiver stress on members from the sandwich generation and those from the nonsandwich generation. Meeting with a social worker for resource availability was identified most frequently as a potentially helpful intervention for coping with the impact of stress.


2020 ◽  
Vol 4 (1) ◽  
pp. 3-48
Author(s):  
Takehiro Iizuka ◽  
Kimi Nakatsukasa

This exploratory study examined the impact of implicit and explicit oral corrective feedback (CF) on the development of implicit and explicit knowledge of Japanese locative particles (activity de, movement ni and location ni) for those who directly received CF and those who observed CF in the classroom. Thirty-six college students in a beginning Japanese language course received either recast (implicit), metalinguistic (explicit) or no feedback during an information-gap picture description activity, and completed a timed picture description test (implicit knowledge) and an untimed grammaticality judgement test (explicit knowledge) in a pre-test, immediate post-test and delayed post-test. The results showed that overall there was no significant difference between CF types, and that CF benefited direct and indirect recipients similarly. Potential factors that might influence the effectiveness of CF, such as instructional settings, complexity of target structures and pedagogy styles, are discussed.


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