Chaos and Complexity in Modeling and Detection of Spatial Temporal Clashes in Construction Processes

Hosny, Abdelhady; Nik-Bakht, Mazdak; Moselhi, Osama

doi:10.1061/9780784481271.062

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…When a workspace overlaps with another or more during construction, a dynamic short-term clash called a spatial-temporal clash occurs. Site planning, project features, management concerns, logistic and resources, and external environment are all categories of potential reasons causing workspace conflicts (Hosny et al, 2018). A variety of tools are proposed in the literature to detect and evaluate spatial-temporal conflicts as summarized in Table 2.…”

Section: Spatial-temporal Conflict Identification and Evaluationmentioning

confidence: 99%

A Narrative Review of Workspace Planning in Construction: Challenges and Insights

Salhab¹,

Alsakka²,

Hamzeh³

2023

Annual Conference of the International Group for Lean Construction

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Space on construction sites is not abundant as may be thought. In fact, workspace planning could become increasingly challenging at times. Moreover, improper workspace planning may lead to congestion and, hence, potential safety and productivity issues. Workspace planning aligns with Lean thinking through reducing wastes in workers' productivity, waiting time, double handling, and different types of flow. Meanwhile, there is generally a scarcity of research studies in this area especially in industrial projects. As such, this paper presents a narrative literature review of research conducted on workspace planning in construction. Specifically, the review aims to answer the following questions: What is a workspace? What are some methods used for workspace planning? What are the challenges faced in workspace planning? What decisions are essential for workspace planning? The last question tackles fundamental concepts in workspace planning such as flow types, area patterns, workspace classification structure, and spatial-temporal conflict identification and resolution. The study concludes with considerations to be scrutinized and adopted during the process of developing a well-thought-off workspace planning system.

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Section: Spatial-temporal Conflict Identification and Evaluationmentioning

confidence: 99%

A Narrative Review of Workspace Planning in Construction: Challenges and Insights

Salhab¹,

Alsakka²,

Hamzeh³

2023

Annual Conference of the International Group for Lean Construction

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“…Macroscopically, the construction industry has close interaction with other industries [27]. How can we accurately capture the dynamic influencing factors in the whole project life cycle [28], how do we accurately study the discrete state of engineering uncertain factors is the key [29,30], and how do we judge and ignore the uncertain influencing factors for accurate modelling [31]? This is also a problem to be solved in this work.…”

Section: Uncertainty Of Environmental Impact Factors In Construction Industrymentioning

confidence: 99%

Life Cycle Assessment of Bridges Using Bayesian Networks and Fuzzy Mathematics

et al. 2021

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At present, reducing the impact of the construction industry on the environment is the key to achieving sustainable development. Countries all over the world are using software systems for bridge environmental impact assessment. However, due to the complexity and discreteness of environmental factors in the construction industry, they are difficult to update and determine quickly, and there is a phenomenon of data missing in the database. Most of the lost data are optimized by Monte Carlo simulation, which greatly reduces the reliability and accuracy of the research results. This paper uses Bayesian advanced fuzzy mathematics theory to solve this problem. In the research, a Bayesian fuzzy mathematics evaluation and a multi-level sensitivity priority discrimination model are established, and the weights and membership degrees of influencing factors were defined to achieve comprehensive coverage of influencing factors. With the support of theoretical modelling, software analysis and fuzzy mathematics theory are used to comprehensively evaluate all the influencing factors of the five influencing stages in the entire life cycle of the bridge structure. The results show that the material manufacturing, maintenance, and operation of the bridge still produce environmental pollution; the main source of the emissions exceeds 53% of the total emissions. The effective impact factor reaches 3.01. At the end of the article, a big data sensitivity model was established. Through big data innovation and optimization analysis, traffic pollution emissions were reduced by 330 tonnes. Modeling of the comprehensive research model; application; clearly confirms the effectiveness and practicality of the Bayesian network fuzzy number comprehensive evaluation model in dealing with uncertain factors in the evaluation of the sustainable development of the construction industry. The research results have made important contributions to the realization of the sustainable development goals of the construction industry.

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