Relevant bibliographies by topics / Construction industry Industrial productivity

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Construction industry Industrial productivity'

Author: Grafiati
Published: 4 June 2021
Last updated: 4 February 2022

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Journal articles on the topic "Construction industry Industrial productivity"

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Arditi, David, and Krishna Mochtar. "Productivity improvement in the Indonesian construction industry." Construction Management and Economics 14, no. 1 (January 1996): 13–24. http://dx.doi.org/10.1080/01446199600000003.

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Loera-Hernández, Imelda, and Gerardo Espinosa-Garza. "Labor Productivity in Projects of Construction and Industrial Maintenance." Key Engineering Materials 615 (June 2014): 139–44. http://dx.doi.org/10.4028/www.scientific.net/kem.615.139.

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This paper is an accomplished investigation in a main industrial group of the city of Altamira, México, as part of a program of improvement of the labor productivity in the area of construction and maintenance of Aguila Industrial Group. The research focuses on the development of a methodology to assess the labor productivity of the industrial maintenance projects. In the methodology, we propose the use of a work sampling tool in order to identify the main factors that affect labor productivity as well as we proposes apply lean manufacturing tools to improvement labor productivity. In the paper, we discuss the implementation findings of the developed methodology as well as the preliminary outcomes of the main factors affecting labor productivity in the construction and maintenance industry; such outcomes provide a guide in the labor productivity management in one of the sectors that exhibits less development grade in most of the Latin-American countries.
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Lekan, Amusan, Aigbavboa Clinton, Ojo Sunday Isaac Fayomi, and Owolabi James. "Lean Thinking and Industrial 4.0 Approach to Achieving Construction 4.0 for Industrialization and Technological Development." Buildings 10, no. 12 (November 28, 2020): 221. http://dx.doi.org/10.3390/buildings10120221.

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The construction industry is responsible for the infrastructural and physical development of nations and plays a pivotal role in determining economic equilibrium of nations of the world; hence, there is a need for constant evolving of advanced ways of carrying out construction operations. The concept has led to the evolution of Construction 4.0, which entails harmonizing disruption in technological applications to enhance construction productivity. The study, therefore, provides an attempt at evolving an enhanced approach to improve construction processes and resource management through application of lean construction and Industry 4.0. The purposive sampling method was used in this study to collect data. The data collection instrument consists of a structured questionnaire designed in a Likert scale of 1 to 5 distributed to 100 construction professionals through an online method that is actively involved in construction operations. The following parameters were censored and profiled, while the results are in tables and charts. The parameters include areas of lean thinking that could enhance Construction 4.0, areas of disruption in Industry 4.0 that influence Construction 4.0 advancement and parameters for practical integrating of lean thinking approach and Industry 4.0. Additionally, the influence of Industry 4.0 in technological development for the construction industry, disruptive innovation of Industry 4.0 and gains towards Construction 4.0. Furthermore, the relevance of Construction 4.0 in construction productivity, the importance of Construction 4.0, industrial application drivers in achieving Construction 4.0, future of Construction 4.0, achieving automation goal in construction and performance expectation of lean thinking and Industry 4.0 in the construction industry are found necessary. Simple percentage, Spearman rankings, Chi-square test, Student-T test, Mann–Whitney-U test and Relative Agreement and Importance index are the tools used to process the data. The study discovered, among others, the veracity of contingency approach in harnessing attributes of the lean thinking concept and disruptive applications in achieving Construction 4.0. The study recommends the application of the hybrid model suggested in the study as a guide to deployment of an application that could help in industrial productivity.
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Liu, Li Ping. "An Empirical Analysis of the Function of STP to the Economic Growth in Construction Industry Based on TFP Theory - A Case Study of Anhui Province." Advanced Materials Research 243-249 (May 2011): 6418–24. http://dx.doi.org/10.4028/www.scientific.net/amr.243-249.6418.

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In this paper the contribution of scientific and technological progress (STP) in economic growth in Anhui province’s construction industry from year 1999 to year 2009 was analyzed by total factor productivity (TFP) method, and the role of TFP in the transformation of economic growth pattern in Anhui province’s construction industry and in corporations’ efforts to enhance industrial competitiveness was analyzed. It found that the key influencing factors in Anhui province’s construction industry’s economic development were capital input and labor input which its growth was driven by resource elements aggregation and its TFP played a poor role. To enhance TFP will be the only way to constructing industry’s sustainable development and to effectively increasing construction industry companies’ core industrial competitiveness.
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Ayele, Selam, and Aminah Robinson Fayek. "A framework for total productivity measurement of industrial construction projects." Canadian Journal of Civil Engineering 46, no. 3 (March 2019): 195–206. http://dx.doi.org/10.1139/cjce-2018-0020.

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Productivity measurement is a concern for both construction practitioners and researchers. In construction, productivity can be measured at three levels: activity, project, and industry. At the project level, previous studies focused on measuring the productivity of specific activities. In addition, existing project-level productivity metrics do not consider the effect of all resources used in a project. To effectively assess overall project performance, the productivity of all project activities and resources used must be taken into account. This study presents a framework that takes into consideration all resources used in a project and proposes a metric for measuring the total productivity of construction projects. A focus group session with experts, followed by questionnaire surveys, were used to assess the applicability of the framework. This paper makes a contribution by providing researchers and practitioners with a framework and tools for data collection and analysis of total construction project productivity.
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Maskuriy, Raihan, Ali Selamat, Kherun Nita Ali, Petra Maresova, and Ondrej Krejcar. "Industry 4.0 for the Construction Industry—How Ready Is the Industry?" Applied Sciences 9, no. 14 (July 15, 2019): 2819. http://dx.doi.org/10.3390/app9142819.

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Technology and innovations have fueled the evolution of Industry 4.0, the fourth industrial revolution. Industry 4.0 encourages growth and development through its efficiency capacity, as documented in the literature. The growth of the construction industry is a subset of the universal set of the gross domestic product value; thus, Industry 4.0 has a spillover effect on the engineering and construction industry. In this study, we aimed to map the state of Industry 4.0 in the construction industry, to identify its key areas, and evaluate and interpret the available evidence. We focused our literature search on Web of Science and Scopus between January 2015 and May 2019. The search was dependent on the following keywords: “Industry 4.0” OR “Industrial revolution 4.0” AND TOPIC: “construction” OR “building”. From the 82 papers found, 20 full-length papers were included in this review. Results from the targeted papers were split into three clusters: technology, security, and management. With building information modelling (BIM) as the core in the cyber-physical system, the cyber-planning-physical system is able to accommodate BIM functionalities to improve construction lifecycle. This collaboration and autonomous synchronization system are able to automate the design and construction processes, and improve the ability of handling substantial amounts of heterogeneity-laden data. Industry 4.0 is expected to augment both the quality and productivity of construction and attract domestic and foreign investors.
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Allan, Cameron, Andrew Dungan, and David Peetz. "‘Anomalies’, Damned ‘Anomalies’ and Statistics: Construction Industry Productivity in Australia." Journal of Industrial Relations 52, no. 1 (February 2010): 61–79. http://dx.doi.org/10.1177/0022185609353985.

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Rojas, Eddy M., and Peerapong Aramvareekul. "Labor Productivity Drivers and Opportunities in the Construction Industry." Journal of Management in Engineering 19, no. 2 (April 2003): 78–82. http://dx.doi.org/10.1061/(asce)0742-597x(2003)19:2(78).

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Loosemore, Martin. "Improving construction productivity: a subcontractor's perspective." Engineering, Construction and Architectural Management 21, no. 3 (May 13, 2014): 245–60. http://dx.doi.org/10.1108/ecam-05-2013-0043.

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Purpose – Surprisingly, given the prominence and front-line role of subcontractors in the construction industry, their perspective is almost completely absent from construction productivity literature. Existing research in this area presents a highly one-sided principal contractor perspective and there are very few insights into what subcontractors think. The purpose of this paper is to address the imbalance by investigating the determinants of construction productivity from a subcontractor's perspective. Design/methodology/approach – Focus groups with 71 of Australia's leading tier-one subcontractors were conducted with the aim of exploring their insights into the productivity challenge. Findings – The findings indicate that the main determinants of productivity for subcontractors are: the quality of relationships with principal contractors; opportunity for early involvement in design; transparent tender practices; growing administration and document control; design management; project management and supervisory skills, particularly in planning, scheduling and coordination; risk management and; industrial relations (IR). Research limitations/implications – This research was conducted in Australia and similar research needs to be conducted in other countries to cross-reference and validate the results more widely. Practical implications – In practical terms, a “culture” of productivity improvement will need to be “nurtured” across the business and supply chain if productivity is to be improved. In particular contractors should avoid bid shopping, respect subcontractor IP and talk to subcontractors earlier in a project. Social implications – By respecting the opinions of subcontractors who employ the vast majority of workers in the construction industry, productivity and employment can be increased. Originality/value – The focus group results add significantly to a more balanced understanding of what has hitherto been a one-sided principal contractor focused debate.
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Vogl, Bernard, and Mohamed Abdel-Wahab. "Measuring the Construction Industry’s Productivity Performance: Critique of International Productivity Comparisons at Industry Level." Journal of Construction Engineering and Management 141, no. 4 (April 2015): 04014085. http://dx.doi.org/10.1061/(asce)co.1943-7862.0000944.

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Dissertations / Theses on the topic "Construction industry Industrial productivity"

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Wang, You-song. "An analysis of the technical efficiency in Hong Kong's construction industry /." Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B20002890.

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Pooe, Molefe M. B. A. "The development of a strategic performance measurement tool for SMEs in the construction industry." Thesis, Nelson Mandela Metropolitan University, 2007. http://hdl.handle.net/10948/810.

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Research in strategic performance measurements has focused mostly on large organisations. In the last few years, there has been a widespread adoption and implementation of balanced strategic performance measurements that no longer narrowly focus on financial measurements but include other non-financial measures. Again, such improvements have focused on large organisations. This study aims to assess strategic performance measurement practices in the Small and Medium Enterprises within the construction industry. The Balanced Scorecard is used as a generic measurement framework to ascertain the current strategic performance measurements within this sector. The four perspectives of measurement; namely, financial, customer, internal process and learning and growth are used to determine the generic measurements within the construction industry. These are then used to determine to what the extent Small and Medium Enterprises in the construction industry have adopted the measurements outlined in these four perspectives. The nature and extent of strategic planning and perceived relevance of various sets of balanced measurements were also assessed. A survey was conducted in the form of a questionnaire in order to obtain primary data from a selected sample group. Using qualitative and quantitative techniques, the data was analysed to get a clear picture of current practice. From the results obtained from the respondents in the sample group, it seemed that there was some strategic planning within this sector although the process was mostly unstructured. The results also showed that the owner-manager is still solely responsible for strategic planning with little or no inclusion of other managers or employees.
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Wan, Kin-man, and 溫建文. "Industrial management approaches for alleviating critical production wastes in Hong Kong building services works." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B45963071.

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Diaz, Zarate Gerardo Daniel. "A knowledge-based system for estimating the duration of cast in place concrete activities." FIU Digital Commons, 1992. http://digitalcommons.fiu.edu/etd/2806.

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Wang, You-song, and 王幼松. "An analysis of the technical efficiency in Hong Kong's construction industry." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1998. http://hub.hku.hk/bib/B31239420.

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Quiso, E., J. Rivera, and J. Farje. "Proposal for the application of ICE and BIM sessions to increase productivity in construction." IOP Publishing Ltd, 2021. http://hdl.handle.net/10757/655943.

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Several studies have shown that the main problem in the construction industry is low productivity. Therefore, this study focuses on developing a proposal through a methodology that can increase productivity in the construction of buildings. The proposed methodology is Virtual Design and Construction (VDC), which has 4 pillars: Building Information Modeling (BIM), Integrated Concurrent Engineering (ICE), metrics and Project Production Management (PPM). However, the article mainly develops BIM and ICE sessions. In addition, in the ICE sessions, "work executors"will be added, so that the information is fed back by both parties, specialist engineers and work executors. Finally, the proposal will be applied in a multi-family building project in the city of Lima - Peru, in order to obtain improvement results.
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Kriel, Jean-Jacques. "A process to assist technology investment decisions in construction - a case study on labour productivity." Thesis, Stellenbosch : Stellenbosch University, 2013. http://hdl.handle.net/10019.1/85828.

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Thesis (MEng)-- Stellenbosch University, 2013.
ENGLISH ABSTRACT: Worldwide the civil construction industry is one of the biggest and most influential industries but has proven to be lacking in the development of technology-aided construction. In contrast, the automotive manufacturing industry is very reliant on the use of highly advanced technology. Literature showed that specific focus is being put on increased technology investments and development of infrastructure in South Africa in order to solve various problems in the country. In light of these realisations, the objective of this research study was to establish a process that can be used to assist technological investments that solve areas of concern in the construction industry. The research was conducted by following a procedure of identifying problematic areas in construction, scrutinising the biggest problem to identify its key elements and finally selecting a decision support model to select technological solutions. The research sequence therefore established the steps of a process that can assist technological investment decisions that solve areas of concern in the construction industry. The first step of this process necessitated the identification of the most influential area of concern in South African construction. A series of interviews and surveys with experienced senior managers in different divisions of the South African civil construction industry showed that the low productivity of labourers is the most influential area of concern in terms of impact on construction projects. Consequently, labour productivity was scrutinised as part of the second step of the process. It was found that there are different methods to measure productivity and that factors influencing labour productivity can be grouped into managerial practices, labour effectiveness and material timeliness. The scrutiny, together with the productivity improvement system and lessons learned from other industries, gave input to the third step of the process, viz. to identify technological solution alternatives for the area of concern. Wireless technology and visual analysis were identified as two groups of technology that could improve labour productivity. The final step of the process evaluated the effects the different solution alternatives could have on a company and a tailored set of criteria together with a fuzzy multi-criteria decision model was proposed for use in this step. The research study identified that there are generic areas of concern in construction and that technology can be used to improve problem solving processes in companies. Furthermore, a generic and flexible four step process was formulated that can incorporate multiple criteria, stakeholders’ opinions, business strategy and the necessary benefits the problem requires in one evaluation model. This process was found to be able to assist technological investment decisions in the construction industry specifically to eliminate or improve on existing areas of concern.
AFRIKAANSE OPSOMMING: Die siviele konstruksiebedryf is een van die grootste en mees invloedryke industrieë wêreldwyd, maar is bewys om agter te wees in terme van ontwikkeling in tegnologie-gesteunde konstruksie. In teenstelling hiermee is die motor-industrie afhanklik van die gebruik van hoogs-gevorderde tegnologieë. Literatuur het getoon dat daar spesifiek gefokus word op die investering in tegnologie- en infrastruktuurontwikkeling in Suid Afrika sodat bestaande probleme in die land opgelos kan word. In die lig van hierdie bevindinge, is die doel van hierdie studie om ‘n proses te vestig wat kan help om besluite rakende tegnologiebeleggings te vergemaklik sodat probleem areas in die konstruksie industrie met dié beleggings opgelos kan word. Die eerste stap van die navorsingsprosedure was om probleem areas in die konstruksie industrie te identifiseer en daarna is die probleem met die grootste impak op konstruksie projekte in diepte ontleed om die eienskappe daarvan te bepaal. Laastens is ‘n besluitnemings model gekies sodat tegnologiese beleggings geëvalueer en gekies kan word. Die navorsingsprosedure het daarom die struktuur gegee om ‘n proses te vestig wat gebruik kan word om besluite oor tegnologiese beleggings te vergemaklik om sodoende probleme in die konstruksie industrie op te los. Die eerste stap in hierdie proses het vereis dat die probleem met die grootste impak op konstruksie projekte in die Suid-Afrikaanse konstruksie industrie geïdentifiseer moes word. Na afloop van ‘n reeks onderhoude en opnames met ervare senior bestuurders in verskeie afdelings van siviele konstruksie, is gevind dat lae arbeidsproduktiwiteit die mees invloedryke probleem area is. Lae produktiwiteit van arbeid is om hierdie rede in diepte ontleed as deel van die tweede stap in die proses. Daar is gevind dat daar verskillende maniere is waarop produktiwiteit gemeet kan word en dat faktore wat produktiwiteit beïnvloed gekategoriseer kan word in bestuur praktyke, arbeid effektiwiteit en stiptelikheid van materiaal. Die ontleding, tesame met die produktiwiteitsverbeteringstelsel en lesse wat geleer is in ander bedrywe, het gelei tot die derde stap van die proses, naamlik die identifisering van tegnologiese oplossings-alternatiewe. Draadloostegnologie (“wireless technology”) en visuele analise is geïdentifiseer as twee groepe van tegnologie wat die produktiwiteit van arbeid kan aanspreek. Die finale stap van die proses het gebruik gemaak van ‘n stel kriteria en ‘n ‘fuzzy multi-criteria’ besluitnemingsmodel om die verskillende tegnologie alternatiewe te evalueer. Hierdie navorsingstudie het daarin geslaag om te identifiseer dat daar generiese probleem areas in die konstruksiebedryf is en dat tegnologie gebruik kan word om probleme op te los en om dienooreenkomstig siklusse in maatskappye te verbeter. Verder is 'n generiese en buigsame vier-stap proses geformuleer wat verskeie kriteria, opinies van belanghebbendes, korporatiewe strategieë en die nodige voordele om die probleem op te los, alles in een evalueringsmodel inkorporeer. Hierdie proses is bewys om te kan help om tegnologiese beleggings in die konstruksiebedryf te vergemaklik om sodoende reeds-bestaande probleme op te los.
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Centeno, Javier E. "How does management impact construction productivity?" Menomonie, WI : University of Wisconsin--Stout, 2004. http://www.uwstout.edu/lib/thesis/2004/2004centenoj.pdf.

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Blanchard, Frederick L. "Construction industry organization, labor relations and productivity." Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/12874.

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Bernold, Leonhard Emil. "Productivity transients in construction processes." Diss., Georgia Institute of Technology, 1985. http://hdl.handle.net/1853/20980.

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Books on the topic "Construction industry Industrial productivity"

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Office, International Labour, ed. Improving site productivity in the construction industry. Geneva: International Labour Office, 1987.

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Intensifikat͡s︡ii͡a︡ proizvodstva v uslovii͡a︡kh sot͡s︡ializma. Voronezh: Izd-vo Voronezhskogo universiteta, 1987.

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Slepov, I. A. Rezervy uskorenii͡a︡. Kiev: "Budivėlʹnyk", 1988.

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Rybin, V. I. Analiz ėffektivnosti i intensifikat͡s︡ii v promyshlennosti i stroitelʹstve. Moskva: "Finansy i statistika", 1989.

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Savall, Henri. Analyse socio-économique des liens entre productivité et emploi dans le bâtiment: Rapport de synthèse. Paris: Ministère de l'équipement, du logement, de l'aménagement du territoire et des transports, Plan construction et architecture, Programme Emploi et valorisation des métiers du bâtiment, 1988.

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Koroteev, A. M. Effektivnost' industrial'noi bazy transportnogo stroitel'stva. Moskva: Transport, 1988.

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Koroteev, A. M. Ėffektivnostʹ industrialʹnoĭ bazy transportnogo stroitelʹstva. Moskva: "Transport", 1988.

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Meng, Chan Yue, ed. Managing productivity in construction: JIT operations and measurements. Aldershot: Ashgate, 1997.

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Productivity improvement for construction and engineering: Implementing programs that save money and time. Reston, Virginia: American Society of Civil Engineers, 2014.

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Davies, Graham. The Index of production and construction for Wales =: Mynegai cynhyrchu ac adeiladu Cymru. Cardiff: Welsh Office, 1990.

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Book chapters on the topic "Construction industry Industrial productivity"

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Lefoka, Mochelo, and Abimbola Windapo. "An Examination of Contextual Factors that Cause Variations in Labour Productivity." In The Construction Industry in the Fourth Industrial Revolution, 355–63. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26528-1_35.

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Chancellor, Will, Malcolm Abbott, and Chris Carson. "Measuring construction industry activity and productivity." In Accounting for Construction, 74–86. Abingdon, Oxon ; New York, NY : Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.1201/9781315231785-5.

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Sui Pheng, Low, and Sim Jia Zheng. "Nature of the Construction Industry." In Construction Productivity in the Multilayer Subcontracting System, 9–19. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1831-3_2.

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Sui Pheng, Low, and Sim Jia Zheng. "Case of Singapore’s Construction Industry." In Construction Productivity in the Multilayer Subcontracting System, 21–27. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1831-3_3.

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Bersch, Johannes, Josefine Diekhof, Bastian Krieger, Georg Licht, and Simona Murmann. "Productivity Slowdown, Innovation and Industry Dynamics." In From Industrial Organization to Entrepreneurship, 229–41. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-25237-3_21.

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Bowen, Brian. "Industrial Revolution – Great Britain, 18th Century." In The American Construction Industry, 68–78. New York: Routledge, 2021. http://dx.doi.org/10.1201/9781003130000-7.

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Chancellor, Will, Malcolm Abbott, and Chris Carson. "Productivity and levels of output in the construction industry." In Accounting for Construction, 87–99. Abingdon, Oxon ; New York, NY : Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.1201/9781315231785-6.

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Klein, J. Douglass, Shelton Schmidt, and Suthathip Yaisawarng. "Productivity changes in the U.S. electric power industry." In Studies in Industrial Organization, 207–35. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2795-0_12.

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Hillebrandt, Patricia M. "Demand for Industrial and Commercial Building." In Economic Theory and the Construction Industry, 55–61. London: Palgrave Macmillan UK, 2000. http://dx.doi.org/10.1057/9780230372481_5.

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Hillebrandt, Patricia M. "Demand for Industrial and Commercial Building." In Economic Theory and the Construction Industry, 60–66. London: Palgrave Macmillan UK, 1985. http://dx.doi.org/10.1007/978-1-349-17934-3_5.

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Conference papers on the topic "Construction industry Industrial productivity"

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Bhardwaj, Abhinav, Scott Z. Jones, Negar Kalantar, Zhijian Pei, John Vickers, Timothy Wangler, Pablo Zavattieri, and Na Zou. "Additive Manufacturing Processes for Infrastructure Construction: A Review." In ASME 2019 14th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/msec2019-2988.

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Abstract Additive manufacturing (AM) has had an enormous impact in the manufacturing sector. Its role has evolved from printing prototypes to manufacturing functional parts for a variety of applications in the automotive, aerospace, and medical industries. Recently, AM processes have also been applied in the infrastructure construction industry. Applications of AM processes could bring in significant improvements in infrastructure construction, specifically in the areas of productivity and safety. It is desirable to have a review on the current state of emerging AM processes for infrastructure construction as well as existing gaps in this field. This paper reviews AM processes in infrastructure construction. It discusses the process principle, application examples, and gaps for each of the AM processes.
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Lai, Fook Chuan. "Sustainable Ultra High Performance Cementitious For Rapid Urbanization and Carbon Neutral Mega Construction Projects." In IABSE Conference, Kuala Lumpur 2018: Engineering the Developing World. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2018. http://dx.doi.org/10.2749/kualalumpur.2018.0746.

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<p>The cement concrete industries globally produced about 4.2 billion tons (required processing energy 1,400kWh/ton) and produce 30 billion tons concrete and contribute about 7%global warming effects. Global rapid urbanization, energy demand in buildings will increase 50%, while existing global building floor area 220 billion m2 is expected to double by 2050, driving energy demand and related GHG emissions for construction. Thus, the shortcoming of innovative and sustainable cement concrete to bring together the building and construction industry to facilitate the global transition towards for low-emission, energy-efficient buildings to achieving the common objective of limiting global warming to well-below 2 Celsius (2°C). The objective in this study is to use the biomass and industrial waste to produce the Sustainable Ultra High Performance Cementitious (SUHPC) for Carbon Neutral Cement Concrete (CNCC). SUHPC was produced by biohybrid- mechano-chemical activation method. SUHPC performance was evaluated in OPC mortar by replace the OPC from dosage 5% to 100% Mortar prism strength with SUHPC at low dosage series increased the early strength but at high dosage series enhanced the early and ultimate strength of OPC. The produced SUHPC concrete quality strength is performed at high performance concrete (HPC) upto ultra high performance concrete (UHPC) level. The innovative SUHPC has proven here to be useful sustainable technology, increased productivity, durability and social economy benefits for Malaysian and abroad cement concrete plants for some rapid urbanization mega infrastructure projects such as Mega Railway Sleeper KV-Double Track MRT Project, Mega Tunnelling Pahang Water Transfer Projects (PWTP), Mass Rapid Transit (MRT) Project, Sarawak Hydropower Murum Dam and general construction projects. Embodied energy and CO2 emission reduced &gt; 85% and reduced non-renewable materials approaching carbon neutral cement concrete. SUHPC is suitable for rapid urbanization and carbon neutral mega construction projects to provide the innovative sustainable construction materials development and future resilient construction.</p>
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Kocanovs, Nikita, Raja Kocanova, and Ineta Geipele. "Qualitative parameters of indoor lighting, impact on quality of life." In The 13th international scientific conference “Modern Building Materials, Structures and Techniques”. Vilnius Gediminas Technical University, 2019. http://dx.doi.org/10.3846/mbmst.2019.016.

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Abstract:
The quality of indoor lighting is a sensitive issue in the dynamic environment of daily life. The lighting industry offers a wide range of products and solutions on the huge market. However, the existing European Union and Latvian lighting regulations and standards cover questions related to the visual effect of lighting on the performance of the visual task, but it is already proven, that visual effect of lighting also affects productivity and causes emotions. Standards and regulations used by construction and real estate industries prescribe lighting parameters which are becoming outdated with a development of the solid-state lighting technologies. The aim of the paper is to review the existing lighting planning theory and practice, selecting the parameters which might have most sensitive effect as prerequisites for improving the quality of life, and might be included in quality standards, handbooks and procurement procedures for the projects, over time in building standards, norms and regulations.
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Vereen, Stephanie, Joseph E. Hummer, and William Rasdorf. "Development of an Industry Level Productivity Metric for the Construction Industry." In Construction Research Congress 2014. Reston, VA: American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413517.082.

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Dyer, Bryan D., and Paul M. Goodrum. "Construction Industry Productivity: Omitted Quality Characteristics in Construction Price Indices." In Construction Research Congress 2009. Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41020(339)13.

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Ebrahimy, Yasser, and Sima Rokni. "Validity of Industry Benchmarks and Metrics for Engineering Productivity." In Construction Research Congress 2010. Reston, VA: American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41109(373)106.

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Potter, Kenyon D. "Enhancing Productivity in the AEC Industry through Application of Rights Management." In Construction Research Congress 2005. Reston, VA: American Society of Civil Engineers, 2005. http://dx.doi.org/10.1061/40754(183)73.

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Tsai, H. T., T. H. Ho, and C. N. Wang. "Productivity Evaluation of Asia Textile Industry." In 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2020. http://dx.doi.org/10.1109/ieem45057.2020.9309933.

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Somila, Mhini, Mashwama Nokulunga X., Thwala Didibhuku W., and Aigbavboa Clinton O. "Learning Curve for Improved Productivity in the South African Construction Industry." In Creative Construction e-Conference 2020. Online: Budapest University of Technology and Economics, 2020. http://dx.doi.org/10.3311/ccc2020-034.

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Laszig, Leif, Matthias Bahr, Ghada M. Gad, and Giuseppe Lomiento. "Effect of Innovation on Productivity in the Construction Industry: A Literature Review." In Construction Research Congress 2020. Reston, VA: American Society of Civil Engineers, 2020. http://dx.doi.org/10.1061/9780784482865.058.

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Reports on the topic "Construction industry Industrial productivity"

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Allen, Steven. Why Construction Industry Productivity is Declining. Cambridge, MA: National Bureau of Economic Research, February 1985. http://dx.doi.org/10.3386/w1555.

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Chappell, Nathan, Adam Jaffe, and Trinh Le. Worker Flows, Entry and Productivity in the New Zealand Construction Industry. Cambridge, MA: National Bureau of Economic Research, March 2018. http://dx.doi.org/10.3386/w24376.

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