The Experts below are selected from a list of 594 Experts worldwide ranked by ideXlab platform

Mazlin Mokhtar - One of the best experts on this subject based on the ideXlab platform.

  • Construction waste minimisation comparing conventional and Precast Construction mixed system and ibs methods in high rise buildings a malaysia case study
    Resources Conservation and Recycling, 2012
    Co-Authors: Suresh Kumar Lachimpadi, Mohd. Raihan Taha, Joy Jacqueline Pereira, Mazlin Mokhtar
    Abstract:

    Abstract The Construction industry has always been a major generator of Construction waste and is often faced with the issue of its effective management in minimising environmental pollution. This research paper focuses on the Construction waste generated from the Construction of high rise buildings using 3 Construction methods; Conventional Construction (Category I), the Mixed System (Category II) and Industrialised Building System (IBS, Category III). The Construction waste for each Construction category were characterised into its mineral and non-mineral components. The Construction waste usage efficiency (CWUE), waste generation, reuse and recycling rates were also calculated. The IBS (Category III) was found to be the most efficient Construction method with a waste generation rate (WGR) of 0.016 tons of Construction waste/m 2 floor space compared to the Mixed System (Category II) at 0.030 tons/m 2 and the Conventional Construction (Category I) at 0.048 tons/m 2 . The Construction waste usage efficiency (CWUE) was the highest in Category III (IBS) at 94.1% with only 5.9% of the total Construction waste in this category being disposed at landfills. The Construction Industry Development Board (CIDB) of Malaysia has recognised its benefits and has actively promoted the use of IBS in Malaysia. The waste characterisation data and its uses (reuse and recycling) obtained from this study could be used as baseline data to promote and encourage the Malaysian Construction industry to adopt the use of Precast technology, the Industrialised Building System (Category III) and move away from the more traditional resource hungry Conventional Construction (Category I). The inclusion of the Mixed System (Category II) in this study as an intermediate Construction method was aimed at providing the link between the Conventional Construction (Category I) and the IBS (Category III). The Mixed System (Category II) incorporates both the IBS and Conventional Construction methods. The Conventional Construction (Category I) with the incorporation of new Construction technologies could easily be reclassified as the Mixed System (Category II), allowing Malaysian contractors to easily adopt it. This paves the way for better understanding for the use of Precast technology which eventually would result in a positive shift towards the use of the IBS (Category III) by Malaysian contractors in the future. Thus, improving the Construction industry's environmental performance and commitment to sustainable development as outlined by the CIDB's Construction Industry Master Plan 2006–2015 for Malaysia.

  • Construction waste minimisation comparing conventional and Precast Construction (Mixed System and IBS) methods in high-rise buildings: A Malaysia case study
    Resources Conservation and Recycling, 2012
    Co-Authors: Suresh Kumar Lachimpadi, Mohd. Raihan Taha, Joy Jacqueline Pereira, Mazlin Mokhtar
    Abstract:

    The Construction industry has always been a major generator of Construction waste and is often faced with the issue of its effective management in minimising environmental pollution. This research paper focuses on the Construction waste generated from the Construction of high rise buildings using 3 Construction methods; Conventional Construction (Category I), the Mixed System (Category II) and Industrialised Building System (IBS, Category III). The Construction waste for each Construction category were characterised into its mineral and non-mineral components. The Construction waste usage efficiency (CWUE), waste generation, reuse and recycling rates were also calculated. The IBS (Category III) was found to be the most efficient Construction method with a waste generation rate (WGR) of 0.016 tons of Construction waste/m2floor space compared to the Mixed System (Category II) at 0.030 tons/m2and the Conventional Construction (Category I) at 0.048 tons/m2. The Construction waste usage efficiency (CWUE) was the highest in Category III (IBS) at 94.1% with only 5.9% of the total Construction waste in this category being disposed at landfills. The Construction Industry Development Board (CIDB) of Malaysia has recognised its benefits and has actively promoted the use of IBS in Malaysia. The waste characterisation data and its uses (reuse and recycling) obtained from this study could be used as baseline data to promote and encourage the Malaysian Construction industry to adopt the use of Precast technology, the Industrialised Building System (Category III) and move away from the more traditional resource hungry Conventional Construction (Category I). The inclusion of the Mixed System (Category II) in this study as an intermediate Construction method was aimed at providing the link between the Conventional Construction (Category I) and the IBS (Category III). The Mixed System (Category II) incorporates both the IBS and Conventional Construction methods. The Conventional Construction (Category I) with the incorporation of new Construction technologies could easily be reclassified as the Mixed System (Category II), allowing Malaysian contractors to easily adopt it. This paves the way for better understanding for the use of Precast technology which eventually would result in a positive shift towards the use of the IBS (Category III) by Malaysian contractors in the future. Thus, improving the Construction industry's environmental performance and commitment to sustainable development as outlined by the CIDB's Construction Industry Master Plan 2006-2015 for Malaysia. © 2012 Elsevier B.V. All rights reserved.

Wei Zhou - One of the best experts on this subject based on the ideXlab platform.

  • rfid enabled knowledge based Precast Construction supply chain
    Computer-aided Civil and Infrastructure Engineering, 2017
    Co-Authors: Zhaojing Wang, Hao Hu, Wei Zhou
    Abstract:

    Radio frequency identification (RFID) helps improve supply chain efficiency by providing item-level identification and real-time information. Today, barcode continues to be the main identification technology for Precast Construction applications. In this research, we investigate the data-driven mechanisms and benefits of utilizing RFID in knowledge-based Precast Construction supply chains. With computer-aided self-learning capability, we simulate three models for manual-, barcode-, and RFID-enabled Precast Construction supply chain. The results of 100 Precast wall-panel Construction in a two-echelon Precast Construction supply chain reveal that the knowledge-based RFID system could generate 62.0% saving of operational costs, which is 29.0% higher than that of a barcode-based system. As a result, the computer-aided adaptive learning mechanism based on RFID is verifiable to improve the overall operational performance by reducing lead time, operational errors, and costs. Due to the lack of existing literature of data technology utilization in the Precast Construction industry, our findings in this research could improve the decision making regarding technology selection, as well as help with the operationalization of RFID and transformation to intelligent Precast Construction management in big data environment.

  • RFID Enabled Knowledge‐Based Precast Construction Supply Chain
    Computer-aided Civil and Infrastructure Engineering, 2017
    Co-Authors: Zhaojing Wang, Hao Hu, Wei Zhou
    Abstract:

    Radio frequency identification (RFID) helps improve supply chain efficiency by providing item-level identification and real-time information. Today, barcode continues to be the main identification technology for Precast Construction applications. In this research, we investigate the data-driven mechanisms and benefits of utilizing RFID in knowledge-based Precast Construction supply chains. With computer-aided self-learning capability, we simulate three models for manual-, barcode-, and RFID-enabled Precast Construction supply chain. The results of 100 Precast wall-panel Construction in a two-echelon Precast Construction supply chain reveal that the knowledge-based RFID system could generate 62.0% saving of operational costs, which is 29.0% higher than that of a barcode-based system. As a result, the computer-aided adaptive learning mechanism based on RFID is verifiable to improve the overall operational performance by reducing lead time, operational errors, and costs. Due to the lack of existing literature of data technology utilization in the Precast Construction industry, our findings in this research could improve the decision making regarding technology selection, as well as help with the operationalization of RFID and transformation to intelligent Precast Construction management in big data environment.

Zhaojing Wang - One of the best experts on this subject based on the ideXlab platform.

  • blockchain based framework for improving supply chain traceability and information sharing in Precast Construction
    Automation in Construction, 2020
    Co-Authors: Zhaojing Wang, Hao Hu, Tengyu Wang, Jie Gong, Qiying Xiao
    Abstract:

    Abstract Precast Construction has great potential for driving innovations in clean, safe, high-efficient Construction methods in the industry. However, current Precast supply chain management often faces challenges such as fragmentation, poor traceability, and lack of real-time information. To address these challenges, this study builds a novel blockchain-based information management framework for a Precast supply chain, which extends the applications of blockchain in the domain of Construction supply chains. In this study, a blockchain framework and its development processes are presented in detail, and algorithms for smart contracts are developed for the model implementation. Finally, the performance of this framework is validated with a case study in which a visualization system is presented to achieve (1) information sharing management, (2) real-time control of scheduling, and (3) information traceability. The results suggest that the proposed framework facilitates the on-time delivery of Precast components (PCs) and tracks the reasons for disputes centered on PCs in the Precast supply chain.

  • Competence Based Worker Assignment and Impacts on Production Scheduling in Precast Construction
    2018 IEEE Technology and Engineering Management Conference (TEMSCON), 2018
    Co-Authors: Zhaojing Wang, Hao Hu, Jie Gong
    Abstract:

    Current Precast production planning methodologies have limited applicability in practice owing to the neglect of human factors and the separate consideration of scheduling and worker assignment. This study systematically defines the employee competence involving the individual experience in each type of operation, learning rate, professional skills and operation specifications, to evaluate the impact of workers on the processing time of each operation. Further, a competence-based worker assignment model (CIWA_PP) is proposed to optimize the worker allocation from the short-term (time-oriented) and long-term (competence-oriented) views. Finally, the superior of the proposed model is validated by a real case study. The results indicate that the CIWA_PP model can achieve 58.3% and 56.2% time savings in these two scenarios respectively, compared with the traditional methods ignoring the impact of human factors in existing studies. The developed model fills the research gaps on the impact of human factors on production and enhances the long-term human resource development.

  • rfid enabled knowledge based Precast Construction supply chain
    Computer-aided Civil and Infrastructure Engineering, 2017
    Co-Authors: Zhaojing Wang, Hao Hu, Wei Zhou
    Abstract:

    Radio frequency identification (RFID) helps improve supply chain efficiency by providing item-level identification and real-time information. Today, barcode continues to be the main identification technology for Precast Construction applications. In this research, we investigate the data-driven mechanisms and benefits of utilizing RFID in knowledge-based Precast Construction supply chains. With computer-aided self-learning capability, we simulate three models for manual-, barcode-, and RFID-enabled Precast Construction supply chain. The results of 100 Precast wall-panel Construction in a two-echelon Precast Construction supply chain reveal that the knowledge-based RFID system could generate 62.0% saving of operational costs, which is 29.0% higher than that of a barcode-based system. As a result, the computer-aided adaptive learning mechanism based on RFID is verifiable to improve the overall operational performance by reducing lead time, operational errors, and costs. Due to the lack of existing literature of data technology utilization in the Precast Construction industry, our findings in this research could improve the decision making regarding technology selection, as well as help with the operationalization of RFID and transformation to intelligent Precast Construction management in big data environment.

  • RFID Enabled Knowledge‐Based Precast Construction Supply Chain
    Computer-aided Civil and Infrastructure Engineering, 2017
    Co-Authors: Zhaojing Wang, Hao Hu, Wei Zhou
    Abstract:

    Radio frequency identification (RFID) helps improve supply chain efficiency by providing item-level identification and real-time information. Today, barcode continues to be the main identification technology for Precast Construction applications. In this research, we investigate the data-driven mechanisms and benefits of utilizing RFID in knowledge-based Precast Construction supply chains. With computer-aided self-learning capability, we simulate three models for manual-, barcode-, and RFID-enabled Precast Construction supply chain. The results of 100 Precast wall-panel Construction in a two-echelon Precast Construction supply chain reveal that the knowledge-based RFID system could generate 62.0% saving of operational costs, which is 29.0% higher than that of a barcode-based system. As a result, the computer-aided adaptive learning mechanism based on RFID is verifiable to improve the overall operational performance by reducing lead time, operational errors, and costs. Due to the lack of existing literature of data technology utilization in the Precast Construction industry, our findings in this research could improve the decision making regarding technology selection, as well as help with the operationalization of RFID and transformation to intelligent Precast Construction management in big data environment.

Suresh Kumar Lachimpadi - One of the best experts on this subject based on the ideXlab platform.

  • Construction waste minimisation comparing conventional and Precast Construction mixed system and ibs methods in high rise buildings a malaysia case study
    Resources Conservation and Recycling, 2012
    Co-Authors: Suresh Kumar Lachimpadi, Mohd. Raihan Taha, Joy Jacqueline Pereira, Mazlin Mokhtar
    Abstract:

    Abstract The Construction industry has always been a major generator of Construction waste and is often faced with the issue of its effective management in minimising environmental pollution. This research paper focuses on the Construction waste generated from the Construction of high rise buildings using 3 Construction methods; Conventional Construction (Category I), the Mixed System (Category II) and Industrialised Building System (IBS, Category III). The Construction waste for each Construction category were characterised into its mineral and non-mineral components. The Construction waste usage efficiency (CWUE), waste generation, reuse and recycling rates were also calculated. The IBS (Category III) was found to be the most efficient Construction method with a waste generation rate (WGR) of 0.016 tons of Construction waste/m 2 floor space compared to the Mixed System (Category II) at 0.030 tons/m 2 and the Conventional Construction (Category I) at 0.048 tons/m 2 . The Construction waste usage efficiency (CWUE) was the highest in Category III (IBS) at 94.1% with only 5.9% of the total Construction waste in this category being disposed at landfills. The Construction Industry Development Board (CIDB) of Malaysia has recognised its benefits and has actively promoted the use of IBS in Malaysia. The waste characterisation data and its uses (reuse and recycling) obtained from this study could be used as baseline data to promote and encourage the Malaysian Construction industry to adopt the use of Precast technology, the Industrialised Building System (Category III) and move away from the more traditional resource hungry Conventional Construction (Category I). The inclusion of the Mixed System (Category II) in this study as an intermediate Construction method was aimed at providing the link between the Conventional Construction (Category I) and the IBS (Category III). The Mixed System (Category II) incorporates both the IBS and Conventional Construction methods. The Conventional Construction (Category I) with the incorporation of new Construction technologies could easily be reclassified as the Mixed System (Category II), allowing Malaysian contractors to easily adopt it. This paves the way for better understanding for the use of Precast technology which eventually would result in a positive shift towards the use of the IBS (Category III) by Malaysian contractors in the future. Thus, improving the Construction industry's environmental performance and commitment to sustainable development as outlined by the CIDB's Construction Industry Master Plan 2006–2015 for Malaysia.

  • Construction waste minimisation comparing conventional and Precast Construction (Mixed System and IBS) methods in high-rise buildings: A Malaysia case study
    Resources Conservation and Recycling, 2012
    Co-Authors: Suresh Kumar Lachimpadi, Mohd. Raihan Taha, Joy Jacqueline Pereira, Mazlin Mokhtar
    Abstract:

    The Construction industry has always been a major generator of Construction waste and is often faced with the issue of its effective management in minimising environmental pollution. This research paper focuses on the Construction waste generated from the Construction of high rise buildings using 3 Construction methods; Conventional Construction (Category I), the Mixed System (Category II) and Industrialised Building System (IBS, Category III). The Construction waste for each Construction category were characterised into its mineral and non-mineral components. The Construction waste usage efficiency (CWUE), waste generation, reuse and recycling rates were also calculated. The IBS (Category III) was found to be the most efficient Construction method with a waste generation rate (WGR) of 0.016 tons of Construction waste/m2floor space compared to the Mixed System (Category II) at 0.030 tons/m2and the Conventional Construction (Category I) at 0.048 tons/m2. The Construction waste usage efficiency (CWUE) was the highest in Category III (IBS) at 94.1% with only 5.9% of the total Construction waste in this category being disposed at landfills. The Construction Industry Development Board (CIDB) of Malaysia has recognised its benefits and has actively promoted the use of IBS in Malaysia. The waste characterisation data and its uses (reuse and recycling) obtained from this study could be used as baseline data to promote and encourage the Malaysian Construction industry to adopt the use of Precast technology, the Industrialised Building System (Category III) and move away from the more traditional resource hungry Conventional Construction (Category I). The inclusion of the Mixed System (Category II) in this study as an intermediate Construction method was aimed at providing the link between the Conventional Construction (Category I) and the IBS (Category III). The Mixed System (Category II) incorporates both the IBS and Conventional Construction methods. The Conventional Construction (Category I) with the incorporation of new Construction technologies could easily be reclassified as the Mixed System (Category II), allowing Malaysian contractors to easily adopt it. This paves the way for better understanding for the use of Precast technology which eventually would result in a positive shift towards the use of the IBS (Category III) by Malaysian contractors in the future. Thus, improving the Construction industry's environmental performance and commitment to sustainable development as outlined by the CIDB's Construction Industry Master Plan 2006-2015 for Malaysia. © 2012 Elsevier B.V. All rights reserved.

Hao Hu - One of the best experts on this subject based on the ideXlab platform.

  • blockchain based framework for improving supply chain traceability and information sharing in Precast Construction
    Automation in Construction, 2020
    Co-Authors: Zhaojing Wang, Hao Hu, Tengyu Wang, Jie Gong, Qiying Xiao
    Abstract:

    Abstract Precast Construction has great potential for driving innovations in clean, safe, high-efficient Construction methods in the industry. However, current Precast supply chain management often faces challenges such as fragmentation, poor traceability, and lack of real-time information. To address these challenges, this study builds a novel blockchain-based information management framework for a Precast supply chain, which extends the applications of blockchain in the domain of Construction supply chains. In this study, a blockchain framework and its development processes are presented in detail, and algorithms for smart contracts are developed for the model implementation. Finally, the performance of this framework is validated with a case study in which a visualization system is presented to achieve (1) information sharing management, (2) real-time control of scheduling, and (3) information traceability. The results suggest that the proposed framework facilitates the on-time delivery of Precast components (PCs) and tracks the reasons for disputes centered on PCs in the Precast supply chain.

  • Competence Based Worker Assignment and Impacts on Production Scheduling in Precast Construction
    2018 IEEE Technology and Engineering Management Conference (TEMSCON), 2018
    Co-Authors: Zhaojing Wang, Hao Hu, Jie Gong
    Abstract:

    Current Precast production planning methodologies have limited applicability in practice owing to the neglect of human factors and the separate consideration of scheduling and worker assignment. This study systematically defines the employee competence involving the individual experience in each type of operation, learning rate, professional skills and operation specifications, to evaluate the impact of workers on the processing time of each operation. Further, a competence-based worker assignment model (CIWA_PP) is proposed to optimize the worker allocation from the short-term (time-oriented) and long-term (competence-oriented) views. Finally, the superior of the proposed model is validated by a real case study. The results indicate that the CIWA_PP model can achieve 58.3% and 56.2% time savings in these two scenarios respectively, compared with the traditional methods ignoring the impact of human factors in existing studies. The developed model fills the research gaps on the impact of human factors on production and enhances the long-term human resource development.

  • rfid enabled knowledge based Precast Construction supply chain
    Computer-aided Civil and Infrastructure Engineering, 2017
    Co-Authors: Zhaojing Wang, Hao Hu, Wei Zhou
    Abstract:

    Radio frequency identification (RFID) helps improve supply chain efficiency by providing item-level identification and real-time information. Today, barcode continues to be the main identification technology for Precast Construction applications. In this research, we investigate the data-driven mechanisms and benefits of utilizing RFID in knowledge-based Precast Construction supply chains. With computer-aided self-learning capability, we simulate three models for manual-, barcode-, and RFID-enabled Precast Construction supply chain. The results of 100 Precast wall-panel Construction in a two-echelon Precast Construction supply chain reveal that the knowledge-based RFID system could generate 62.0% saving of operational costs, which is 29.0% higher than that of a barcode-based system. As a result, the computer-aided adaptive learning mechanism based on RFID is verifiable to improve the overall operational performance by reducing lead time, operational errors, and costs. Due to the lack of existing literature of data technology utilization in the Precast Construction industry, our findings in this research could improve the decision making regarding technology selection, as well as help with the operationalization of RFID and transformation to intelligent Precast Construction management in big data environment.

  • RFID Enabled Knowledge‐Based Precast Construction Supply Chain
    Computer-aided Civil and Infrastructure Engineering, 2017
    Co-Authors: Zhaojing Wang, Hao Hu, Wei Zhou
    Abstract:

    Radio frequency identification (RFID) helps improve supply chain efficiency by providing item-level identification and real-time information. Today, barcode continues to be the main identification technology for Precast Construction applications. In this research, we investigate the data-driven mechanisms and benefits of utilizing RFID in knowledge-based Precast Construction supply chains. With computer-aided self-learning capability, we simulate three models for manual-, barcode-, and RFID-enabled Precast Construction supply chain. The results of 100 Precast wall-panel Construction in a two-echelon Precast Construction supply chain reveal that the knowledge-based RFID system could generate 62.0% saving of operational costs, which is 29.0% higher than that of a barcode-based system. As a result, the computer-aided adaptive learning mechanism based on RFID is verifiable to improve the overall operational performance by reducing lead time, operational errors, and costs. Due to the lack of existing literature of data technology utilization in the Precast Construction industry, our findings in this research could improve the decision making regarding technology selection, as well as help with the operationalization of RFID and transformation to intelligent Precast Construction management in big data environment.