ARCOM

Search or browse again.

Click on the titles below to expand the information about each abstract.
Viewing 27 results ...

Almashaqbeh, M and El-Rayes, K (2022) Minimizing transportation cost of prefabricated modules in modular construction projects. Engineering, Construction and Architectural Management, 29(10), 3847-67.

Alshboul, O, Shehadeh, A, Al-Kasasbeh, M, Al Mamlook, R E, Halalsheh, N and Alkasasbeh, M (2022) Deep and machine learning approaches for forecasting the residual value of heavy construction equipment: a management decision support model. Engineering, Construction and Architectural Management, 29(10), 4153-76.

Durdyev, S, Mohandes, S R, Mahdiyar, A and Ismail, S (2022) What drives clients to purchase green building?: The cybernetic fuzzy analytic hierarchy process approach. Engineering, Construction and Architectural Management, 29(10), 4015-39.

Egbelakin, T, Wilkinson, S, Potangaroa, R and Ingham, J (2011) Enhancing seismic risk mitigation decisions: a motivational approach. Construction Management and Economics, 29(10), 1003–16.

Ekanayake, E M A C, Shen, G, Kumaraswamy, M, Owusu, E K and Xue, J (2022) Capabilities to withstand vulnerabilities and boost resilience in industrialized construction supply chains: a Hong Kong study. Engineering, Construction and Architectural Management, 29(10), 3809-29.

Hee, C H S and Ling, F Y Y (2011) Strategies for reducing employee turnover and increasing retention rates of quantity surveyors. Construction Management and Economics, 29(10), 1059–72.

Hu, X, Hu, X, Cui, Q, Li, Y, Lemckert, C and Wei, A (2022) Spatial-temporal analysis for the business performance of construction consultancy services in China. Engineering, Construction and Architectural Management, 29(10), 3997-4014.

Igwe, C, Nasiri, F and Hammad, A (2022) An empirical study on non-physical waste factors in the construction industry. Engineering, Construction and Architectural Management, 29(10), 4088-106.

Khan, N A, Hui, Z, Khan, A N and Soomro, M A (2022) Impact of women authentic leadership on their own mental wellbeing through ego depletion: moderating role of leader's sense of belongingness. Engineering, Construction and Architectural Management, 29(10), 4191-214.

Larsen, G D (2011) Understanding the early stages of the innovation diffusion process: awareness, influence and communication networks. Construction Management and Economics, 29(10), 987–1002.

Ma, G, Jiang, S and Jia, J (2022) Investigating the adoption of social media in the construction industry: empirical evidence from project teams in China. Engineering, Construction and Architectural Management, 29(10), 3948-69.

Marzouk, M, Elsaay, H and Othman, A A E (2022) Analysing BIM implementation in the Egyptian construction industry. Engineering, Construction and Architectural Management, 29(10), 4177-90.

Mbachu, J (2011) Sources of contractor’s payment risks and cash flow problems in the New Zealand construction industry: project team’s perceptions of the risks and mitigation measures. Construction Management and Economics, 29(10), 1027–41.

Oladinrin, O T and Ojo, L D (2022) Characterisation of the drivers of environmental management system implementation. Engineering, Construction and Architectural Management, 29(10), 3868-92.

Olbina, S, Hinze, J and Arduengo, C (2011) Drug testing practices in the US construction industry in 2008. Construction Management and Economics, 29(10), 1043–57.

Rezaei Nasab, S S, Tayefi Nasrabadi, A, Asadi, S and Haj Seiyed Taghia, S A (2022) Investigating the probability of designing net-zero energy buildings with consideration of electric vehicles and renewable energy. Engineering, Construction and Architectural Management, 29(10), 4061-87.

Saad, S, Alaloul, W S, Ammad, S and Qureshi, A H (2022) A qualitative conceptual framework to tackle skill shortages in offsite construction industry: a scientometric approach. Engineering, Construction and Architectural Management, 29(10), 3917-47.

Shooshtarian, S, Caldera, S, Maqsood, T, Ryley, T and Khalfan, M (2022) An investigation into challenges and opportunities in the Australian construction and demolition waste management system. Engineering, Construction and Architectural Management, 29(10), 4313-30.

Singla, H K and Sridharan, S (2022) Factors influencing the level of accuracy and compromise in overhead estimation for construction projects in India: an exploratory investigation. Engineering, Construction and Architectural Management, 29(10), 4040-60.

Tandon, U, Mittal, A, Bhandari, H and Bansal, K (2022) E-learning adoption by undergraduate architecture students: facilitators and inhibitors. Engineering, Construction and Architectural Management, 29(10), 4287-312.

Wan, X, Zhang, Y, Mao, P, Li, H, Wang, R, Yi, X and Zhao, X (2022) How perceived corporate social responsibility and public knowledge affect public participation intention: evidence from Chinese waste incineration power projects. Engineering, Construction and Architectural Management, 29(10), 4107-31.

Wang, Z, Liu, J and Guan, X (2022) Investigating the causal complexity of corruption in project-based organizations: a scenario analysis of bidding activity in the Chinese construction sector. Engineering, Construction and Architectural Management, 29(10), 3893-916.

Wilkins, J R (2011) Construction workers’ perceptions of health and safety training programmes. Construction Management and Economics, 29(10), 1017–26.

Yi, H (2022) 4D-printed parametric façade in architecture: prototyping a self-shaping skin using programmable two-way shape memory composite (TWSMC). Engineering, Construction and Architectural Management, 29(10), 4132-52.

Zhang, L, Yuan, J, Ning, Y, Xia, N and Zhang, G (2022) Enhancing the impacts of absorptive capacity on interorganizational collaboration in BIM-enabled construction projects – an SLT perspective. Engineering, Construction and Architectural Management, 29(10), 4215-40.

Zhang, Y, Wang, J, Ahmad, R and Li, X (2022) Integrating lean production strategies, virtual reality technique and building information modeling method for mass customization in cabinet manufacturing. Engineering, Construction and Architectural Management, 29(10), 3970-96.

• Type: Journal Article
• Keywords: building information modelling; discrete-event simulation; furniture; industry; information technology; lean production principles; mass customization; participatory design; virtual reality
• ISBN/ISSN:
• URL: https://doi.org/10.1108/ECAM-11-2020-0955
• Abstract:
  Purpose: In response to increasing demand for a fully customized and individualized home environment, mass customization (MC) has been suggested as an effective strategy to fulfill the customer’s customization needs while keeping production cost-effectiveness. However, in current practice, the implementation of the MC in the industrialized housing industry has not achieved an ideal level. Little effort was devoted to customer value generation and achieving lean production in a multi-disciplinary MC environment. In this concern, a highly efficient and flexible production information system is expected to capture accurately the customer’s demand and efficiently perform work planning for encouraging customer involvement and mass efficiency production. Design/methodology/approach: To gain an insight into the development of the MC production information system for the housing industry and to depict the interaction among system modules, this study used a design science research methodology for a case study of customized cabinet production information system development. Findings: A prototype of the production information system was proposed in this paper, supported by three information technologies to facilitate the MC implementation in the millwork manufacturer. A focus group discussion method was carried out for evaluating the system feasibility and the subsequent survey analysis on the virtual reality (VR) interface experiment. The evaluation process results showed that the VR interface is an effective medium for design information communication and encourages customer involvement. Most participants believed that the proposed production information system could generally benefit the MC implementation and improve production efficiency. Originality/value: This study integrated lean production principles along with building information modelling, VR and discrete-event simulation in the production information system to assist the manufacturer in effectively handling variant product information and enabling quicker reactions in response to diverse customer requirements in housing industries. The coordination among system modules and the managed information flow could be a valuable reference for future MC production system development in housing industries.

Zhao, X and Pan, W (2022) The characteristics and evolution of business model for green buildings: a bibliometric approach. Engineering, Construction and Architectural Management, 29(10), 4241-66.