scholarly journals Research on Reasoning concerning Emergency Measures for Industrial Project Scheduling Control

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Xiaokang Han ◽  
Wenzhou Yan ◽  
Mei Lu
Keyword(s):  
Rough Set ◽  
Project Scheduling ◽  
Construction Projects ◽  
Preventive Measures ◽  
Case Retrieval ◽  
Industrial Construction ◽  
Industrial Project ◽  
Industrial Projects ◽  
Matrix Similarity ◽  
And Control

Industry is an important pillar of the national economy, and industrial projects are the most complex and difficult to manage and control in the construction industry; thus, the resource scheduling control of industrial projects is one of the core issues for industrial construction projects. The performance rate of the contract time periods of previous industrial construction projects has been very low. In scheduling control based on case-based reasoning (CBR), the goal is to implement preventive measures by referring to existing scheduling control cases and control the scheduling of resources through reasoning on emergency measures to prevent scheduling control deviations. In this paper, the rough set approach is used to represent the case feature information in a case reasoning model for industrial project scheduling control, attribute reduction is used to determine the weights of the feature attributes in the rough set representation, and the similarity between cases is calculated for case retrieval. The accuracy of the rough-set-based similarity calculation is verified through matrix similarity calculations and a visual analysis of the all closeness centrality and weighted all degree centrality of the corresponding complex network; thus, similar cases of industrial project scheduling control are identified. To verify the applicability and effectiveness of the proposed methodology, a typical coal chemical general contract project case is carried out. The rough set comprehensive similarity results were 0.733, 0.621, 0.536, 0.614, 0.559, 0.950, 0.708, 0.546, 0.733, 0.664, 0.526, and 0.743, and the matrix similarity results were 0.417, 0.583, 0.417, 0.417, 0.417, 0.833, 0.417, 0.500, 0.417, 0.500, 0.333, and 0.500. The results showed that the case retrieval accuracy of traditional matrix similarity is not as high as the rough set comprehensive similarity, so X 6 is the most similar case to the target case Y. Case retrieval results indicate that the proposed methodology can provide a good similar case selection strategy with project managers, and the final required preventive measures for the target case can be found. Based on the identified similar cases, preventive measures for scheduling control are formulated to effectively prevent scheduling deviations of industrial projects.

4D-based Automation of Heavy Lift Planning in Industrial Construction Projects

2020 ◽  
Author(s):  
Sang Hyeok Han ◽  
Zhen Lei ◽  
Ulrich Hermann ◽  
Ahmed Bouferguene ◽  
Mohamed Al-Hussein
Keyword(s):  
Construction Projects ◽  
Current Practice ◽  
Planning Process ◽  
Labor Cost ◽  
Modular Construction ◽  
Industrial Construction ◽  
Design Changes ◽  
Heavy Lift ◽  
Industrial Projects ◽  
Mobile Crane

In northern Canada, due to the harsh weather and high labor cost, contractors prefer to using modular construction approach to complete heavy industrial projects, where mobile crane are used for onsite module installations. In current practice, module lifts are often planned manually by rigging engineers. With a large number of heavy lifts to be analyzed per project, the planning process is tedious and error-prone. This paper represents a data-driven crane management system with three features: (1) identification of design errors in lifting planning; (2) responses to design changes; and (3) dynamic 3D trajectory-based lifting visualization. It covers two types of crane operations: pick from a fixed location (PFL), and pick and walking operation (PWO). This developed system helps reduce lifting time and improves safety and quality, where various lifting scenarios need to be analyzed. The system has been implemented at a collaborator company for demonstration and validation.

scholarly journals Defining Supply Chain Visibility for Industrial Construction Projects

2021 ◽  
Vol 7 ◽  
Author(s):  
Vineeth Dharmapalan ◽  
William J. O’Brien ◽  
Douglas J. Morrice
Keyword(s):  
Supply Chain ◽  
Construction Projects ◽  
Information Needs ◽  
Academic Research ◽  
Group Discussions ◽  
Industrial Construction ◽  
Industrial Projects ◽  
Definition Of ◽  
Tools And Techniques

Good Supply Chain Visibility (SCV) is vital for on-time delivery and installation of materials on industrial construction projects. SCV is possible via the exchange of information about materials in the supply chain. Prior academic research has highlighted the importance of SCV. However, the literature lacks the detailed definition of visibility that can be easily applied to projects. This research reviewed prior studies on SCV and adopted an appropriate definition that supports relevant decision-making on industrial construction projects. From this definition, the research objective is to develop detailed operational definitions of information needed to support supply chain decisions on industrial construction projects. The study employed mixed methods that consisted of interviews, review of mini-cases of industrial projects, procurement and material tracking tool assessment, and group discussions in structured workshops with a panel of subject matter experts. The research developed 79 detailed information needs and associated definitions that support ten key supply chain decision areas across detailed design, procurement, and construction phases of industrial construction projects. These definitions were evaluated by multiple means including an external team and a case study of an industrial construction project. The definitions developed by this research will enable both researchers and practitioners to invest in better measurements of visibility and support development of new tools and techniques.

Assessment of visibility in industrial construction projects: a viewpoint from supply chain stakeholders

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vineeth Dharmapalan ◽  
William J. O’Brien ◽  
Douglas Morrice ◽  
Minhyuk Jung
Keyword(s):  
Supply Chain ◽  
Construction Projects ◽  
Industrial Sector ◽  
Tier 2 ◽  
Industrial Construction ◽  
Daily Lives ◽  
Content Type ◽  
Importance Index ◽  
Industrial Projects ◽  
Timely Delivery

Purpose Stakeholders of construction projects exhibit different perceptions regarding the visibility of materials in the supply chain, which affects the timely delivery and installation of materials. This study aims to quantitatively investigate the differences in viewpoints of owners, contractors, designers and suppliers about the visibility of materials at supply chain locations and different material types during the construction of industrial projects. Design/methodology/approach Survey data about visibility at nine typical supply chain locations and three common material types were collected from owner, contractor, designer and supplier groups and analyzed using frequency statistics, relative importance index and tests for equality of odds. Findings Offsite Tier-2 supplier, ports and kitting site shows the lowest visibility level for the owner, contractor, supplier and designer groups. Also, the supplier group tends to have adequate to extreme visibility at the Tier-2 supplier, kitting site and during transportation compared to owner, contractor and designer groups. An example finding concerning the visibility of material types is that owners and contractors perceive prefabricated material requires higher visibility than all other material types. Research limitations/implications The findings are limited to construction projects in the industrial sector. Further, the survey participants were based in North America at the time of participation. Practical implications The study’s findings indicate how visibility is spread across supply chain locations and for material types for the owners, contractors, suppliers and designers of industrial projects. As such, academia and industry’s research and investment efforts can be more focused on locations and material types that need improvement. Social implications Industrial projects play an essential part in improving society’s daily lives, and this study’s findings contribute to improving the efficiency of the supply chain during construction of industrial projects. Originality/value Although previous studies mentioned the need and importance of visibility improvement, none have sought to understand the perception of leading supply chain stakeholders about visibility at supply chain locations and of material types. This study’s findings provide specific insights and directions for advancing in these areas with regard to supply chain visibility.

Investigation of Cost-Influencing Factors Potentially ‎Controllable by Main Contractors in Construction Projects in ‎Iraq

2020 ◽  
Vol 38 (7A) ◽  
pp. 1069-1076
Author(s):  
Layth T. Ali ◽  
Raid S. Abid Ali ◽  
Zeyad S. M. Khaled
Keyword(s):  
Construction Projects ◽  
Project Managers ◽  
Cost Overrun ◽  
Public And Private ◽  
Importance Index ◽  
Labor Recruitment ◽  
Supply Planning ◽  
Major Factors ◽  
And Control ◽  
The Impact

Cost overrun in construction projects is a common phenomenon in Iraq. This might occur due to diversity of factors. This study aims to identify the factors influencing construction projects cost that are potentially controllable by main contractors. A field study through a questionnaire survey was directed to a sample of related Iraqi professional engineers from general contracting companies at both public and private sectors. Their opinions on the impact and frequency of each factor were investigated. The questionnaire offered (59) factors classified in (8) categories namely; legislations, financial and economic, design, contractual, site management, material, labor and equipment. The factors were ranked according to the highest Relative Importance Index (RII). The study revealed (10) major factors that are potentially controllable by main contractors namely; labor productivity, sub-contractors and suppliers performance, equipment productivity, site organization and distribution of equipment, experience and training of project managers, scheduling and control techniques, planning for materials supply, planning for equipment supply, materials delivery and planning for skilled labor recruitment. Recommendations to aid contractors and owners in early identification of these factors are also included in this study.

scholarly journals Poult Enteritis and Mortality Syndrome in Turkey Poults: Causes, Diagnosis and Preventive Measures

Animals ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 2063
Author(s):  
Awad A. Shehata ◽  
Shereen Basiouni ◽  
Reinhard Sting ◽  
Valerij Akimkin ◽  
Marc Hoferer ◽  
...  
Keyword(s):  
Preventive Measures ◽  
Clinical Signs ◽  
Accurate Diagnosis ◽  
Economic Losses ◽  
Turkey Poults ◽  
Causative Agents ◽  
Enteric Disorders ◽  
And Control ◽  
Enteropathogenic Viruses ◽  
Poult Enteritis

Poult enteritis and mortality syndrome (PEMS) is one of the most significant problem affecting turkeys and continues to cause severe economic losses worldwide. Although the specific causes of PEMS remains unknown, this syndrome might involve an interaction between several causative agents such as enteropathogenic viruses (coronaviruses, rotavirus, astroviruses and adenoviruses) and bacteria and protozoa. Non-infectious causes such as feed and management are also interconnected factors. However, it is difficult to determine the specific cause of enteric disorders under field conditions. Additionally, similarities of clinical signs and lesions hamper the accurate diagnosis. The purpose of the present review is to discuss in detail the main viral possible causative agents of PEMS and challenges in diagnosis and control.

scholarly journals Scheduling Optimization of Prefabricated Construction Projects by Genetic Algorithm

2021 ◽  
Vol 11 (12) ◽  
pp. 5531
Author(s):  
Linlin Xie ◽  
Yajiao Chen ◽  
Ruidong Chang
Keyword(s):  
Project Scheduling ◽  
Construction Projects ◽  
Resource Constraints ◽  
Construction Project ◽  
Engineering Application ◽  
Project Schedule ◽  
Scheduling Optimization ◽  
Implementation Method ◽  
Traditional Construction ◽  
Construction Project Scheduling

Prefabricated buildings are the direction of the future development of the construction industry and have received widespread attention. The effective execution of prefabricated construction project scheduling should consider resource constraints and the supply arrangement of prefabricated components. However, the traditional construction resource-constrained project scheduling implementation method cannot simultaneously consider the characteristics of the linkage between component production and on-site assembly construction. It cannot also fully adapt to the scheduling implementation method of the prefabricated construction projects. It is difficult to work out a reasonable project schedule and resource allocation table. In order to determine the relevant schedule parameters that can reflect the actual construction situation of the prefabricated building and meet the scheduling requirements of the prefabricated project, this study proposes a prefabricated construction project scheduling model that considers project resource constraints and prefabricated component supply constraints. Additionally, it improves the design of traditional genetic algorithms (GAs). Research results of the experimental calculation and engineering application show that the proposed project scheduling optimization model and GA are effective and practical, which can help project managers in effectively formulating prefabricated construction project scheduling plans, reasonably allocating resources, reducing completion time, and improving project performance.

scholarly journals Text Case-Based Reasoning Framework for Fault Diagnosis and Predication by Cloud Computing

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Zhiwang Zhong ◽  
Tianhua Xu ◽  
Feng Wang ◽  
Tao Tang
Keyword(s):  
Cloud Computing ◽  
Fault Diagnosis ◽  
Rough Set ◽  
Best Practice ◽  
Discrete Event ◽  
Scale Up ◽  
Case Based Reasoning ◽  
Case Retrieval ◽  
Fault Features ◽  
Case Based

In Discrete Event System, such as railway onboard system, overwhelming volume of textual data is recorded in the form of repair verbatim collected during the fault diagnosis process. Efficient text mining of such maintenance data plays an important role in discovering the best-practice repair knowledge from millions of repair verbatims, which help to conduct accurate fault diagnosis and predication. This paper presents a text case-based reasoning framework by cloud computing, which uses the diagnosis ontology for annotating fault features recorded in the repair verbatim. The extracted fault features are further reduced by rough set theory. Finally, the case retrieval is employed to search the best-practice repair actions for fixing faulty parts. By cloud computing, rough set-based attribute reduction and case retrieval are able to scale up the Big Data records and improve the efficiency of fault diagnosis and predication. The effectiveness of the proposed method is validated through a fault diagnosis of train onboard equipment.

scholarly journals Kajian Kompleksitas Proyek Konstruksi : Tinjauan Kegiatan Pengadaan Pekerjaan Konstruksi di Indonesia

2018 ◽  
Vol 13 (1) ◽  
pp. 35-45
Author(s):  
Cut Zukhrina Oktaviani
Keyword(s):  
Construction Projects ◽  
Construction Project ◽  
Government Procurement ◽  
External Factors ◽  
Construction Work ◽  
Project Construction ◽  
Internal And External Factors ◽  
And Control

This paper aims to reviewed construction projects complexity in construction complex procurement. Construction complexity is influenced with many internal and external factors. Complexity covers entire construction project cycles. At construction work procurement stage, organization and processes complexity is a major concern, especially in government procurement. Complexity requires regulation and control are such that it does not happen obstacles at every project construction cycle stage. 

scholarly journals Analysis of a debris flow after Wenchuan Earthquake and discussion on preventive measures

2019 ◽  
Vol 23 (3 Part A) ◽  
pp. 1563-1570
Author(s):  
Zhi-Long Zhang ◽  
Jing Xie ◽  
De-Ke Yu ◽  
Zhi-Jie Wen
Keyword(s):  
Debris Flow ◽  
Wenchuan Earthquake ◽  
Preventive Measures ◽  
Impact Force ◽  
Site Investigation ◽  
The Wenchuan Earthquake ◽  
Formation Conditions ◽  
National Road ◽  
And Control ◽  
Debris Flow Disaster

This paper addresses a debris flow disaster in Yingxiu town after the Wenchuan earthquake. Through site investigation and data review, the geography and geological environment of the basin and the development, formation conditions and activity characteristics of the debris flow in the basin are analyzed. Calculate and analyze the characteristics of the debris flow, such as gravity, flow velocity and impact force. According to the management idea of combination of blocking and discharging, this paper proposes to arrange three blocking dams in the main ditch, construct drainage gullies in the downstream accumulation section, and prevent and control the aqueduct in the intersection of the main ditch and the G213 national road, which will be similar to the earthquake in the future. It is provided as a reference for research and prevention of the debris flow.

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