Optimizing Injection Moulding Processes for Structural Components in Construction Management

Muhammad Nasir Qurashi; Cheng-Long Xiao; Khaled A. Alrasheed; Omrane Benjeddou

doi:10.28991/CEJ-2024-010-10-020

Authors

Muhammad Nasir Qurashi
3577230373@qq.com
School of Mechanical Engineering, University of South China, Hengyang, 421001,, China
Cheng-Long Xiao Department of Materials, Science and Engineering, Hunan Institute of Technology, Hengyang 421002,, China
Khaled A. Alrasheed College of Engineering & Petroleum, Kuwait University, Kuwait City,, Kuwait
Omrane Benjeddou Department of Civil Engineering, College of Engineering, Prince Sattam bin Abdulaziz University, Alkharj 11942,, Saudi Arabia

Vol. 10 No. 10 (2024): October

Research Articles

Downloads

PDF

Abstract
How to Cite
Metrics
References
License

The optimization of injection molding processes for structural components is critical in construction management, particularly for enhancing precision, efficiency, and sustainability. However, existing research has not fully addressed the complex interplay of factors that influence this optimization. This study aims to fill this gap by identifying and analyzing five key constructs: Structural Performance, Material Efficiency, Sustainability and Integration, Precision and Consistency, and Design Flexibility. Data were collected from 249 professionals in China using a Likert-scale survey and analyzed through Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM). The results show that Structural Performance is the most significant factor (β = 0.943, p < 0.001), followed by Material Efficiency (β = 0.858, p < 0.001) and Sustainability and Integration (β = 0.772, p < 0.001). The model's predictive relevance, with a Q² value of 0.659, confirms its robustness and accuracy. These findings highlight the need for construction managers to focus on improving Structural Performance and Material Efficiency while integrating sustainability and ensuring precision and flexibility. Optimizing injection molding for construction components is challenging due to complex factors like structural performance, material efficiency, and sustainability. This study develops a novel framework using Structural Equation Modeling to rank these factors, providing insights for cost-effective, high-performance outcomes, and advancing sustainable practices in construction management.

Doi: 10.28991/CEJ-2024-010-10-020

Full Text: PDF

Qurashi, M. N., Xiao, C.-L., Alrasheed, K. A., & Benjeddou, O. (2024). Optimizing Injection Moulding Processes for Structural Components in Construction Management. Civil Engineering Journal, 10(10), 3437–3454. https://doi.org/10.28991/CEJ-2024-010-10-020

Download Citation

[1] Dsilva, J., Zarmukhambetova, S., & Locke, J. (2023). Assessment of building materials in the construction sector: A case study using life cycle assessment approach to achieve the circular economy. Heliyon, 9(10), 20404. doi:10.1016/j.heliyon.2023.e20404.
[2] Czepiel, M., Bańkosz, M., & Sobczak-Kupiec, A. (2023). Advanced Injection Molding Methods: Review. Materials, 16(17). doi:10.3390/ma16175802.
[3] Paulet, A. (2023). Micro Injection Molded Plastic Market Size Forecast Report. ResearchGate, 1-6.
[4] Paulet, A. (2023). Air Charter Services Market Global Trends Report 2023-2030. ResearchGate, 1-5.
[5] McKeown, P. A. (1987). The Role of Precision Engineering in Manufacturing of the Future. CIRP Annals - Manufacturing Technology, 36(2), 495–501. doi:10.1016/S0007-8506(07)60751-3.
[6] Plaza, M. G., Mendoza López, M. L., Pérez Bueno, J. de J., Pérez Meneses, J., & Maldonado Pérez, A. X. (2024). Polymer Waste Recycling of Injection Molding Purges with Softening for Cutting with Fresnel Solar Collector”A Real Problem Linked to Sustainability and the Circular Economy. Polymers, 16(7). doi:10.3390/polym16071012.
[7] Fernandes, C., Pontes, A. J., Viana, J. C., & Gaspar-Cunha, A. (2018). Modeling and Optimization of the Injection-Molding Process: A Review. Advances in Polymer Technology, 37(2), 429–449. doi:10.1002/adv.21683.
[8] Khosravani, M. R., Nasiri, S., & Reinicke, T. (2022). Intelligent knowledge-based system to improve injection molding process. Journal of Industrial Information Integration, 25, 100275. doi:10.1016/j.jii.2021.100275.
[9] Moshiri, M., Loaldi, D., Zanini, F., Sgaravato, D., Carmignato, S., & Tosello, G. (2021). Analysis of an as-built metal additively manufactured tool cavity insert performance and advantages for plastic injection moulding. Journal of Manufacturing Processes, 61, 369–382. doi:10.1016/j.jmapro.2020.11.035.
[10] Yin, H. L., Liu, S. Q., Zhao, L. C., Cui, C. X., & Wang, X. (2021). Vacuum infiltration molding and mechanical property of short carbon fiber reinforced Ti-based metallic glass matrix composite. Journal of Materials Processing Technology, 295, 117151. doi:10.1016/j.jmatprotec.2021.117151.
[11] Ogorodnyk, O., & Martinsen, K. (2018). Monitoring and Control for Thermoplastics Injection Molding A Review. Procedia CIRP, 67, 380–385. doi:10.1016/j.procir.2017.12.229.
[12] Elduque, A., Elduque, D., Javierre, C., Fernández, í., & Santolaria, J. (2015). Environmental impact analysis of the injection molding process: Analysis of the processing of high-density polyethylene parts. Journal of Cleaner Production, 108, 80–89. doi:10.1016/j.jclepro.2015.07.119.
[13] Waqar, A., Othman, I., Hamah Sor, N., Alshehri, A. M., Almujibah, H. R., Alotaibi, B. S., Abuhussain, M. A., Bageis, A. S., Althoey, F., Hayat, S., Benjeddou, O., Alsulamy, S. H., & Aljarbou, M. (2023). Modeling relation among implementing AI-based drones and sustainable construction project success. Frontiers in Built Environment, 9. doi:10.3389/fbuil.2023.1208807.
[14] Bageis, A. S., Waqar, A., Sor, N. H., Almujibah, H., Qureshi, A. H., Jagadesh, P., Deifalla, A. F., Khan, M. B., Dodo, Y., Arbili, M. M., Abuhussain, M. A., & Benjddou, O. (2023). Evaluation of Factors Affecting the Competitive Advantage of Organizations in Establishing Sustainable Project Management Post Covid-19. Journal of Engineering (United Kingdom), 2023, 1–24. doi:10.1155/2023/3529313.
[15] Singh, G., & Verma, A. (2017). A Brief Review on injection moulding manufacturing process. Materials Today: Proceedings, 4(2), 1423–1433. doi:10.1016/j.matpr.2017.01.164.
[16] Mohammed Alshehri, A., Hajj, F. Al, Waqar, A., Bageis, A. S., Houda, M., & Benjeddou, O. (2024). Building information modeling (BIM) driven performance-based construction for the optimization of sustainable and smart structures development. Environmental Challenges, 16, 100980. doi:10.1016/j.envc.2024.100980.
[17] Waqar, A., Othman, I. Bin, & Mansoor, M. S. (2024). Building information modeling (BIM) implementation and construction project success in Malaysian construction industry: mediating role of project control. Engineering, Construction and Architectural Management, 5, 265-280. doi:10.1108/ECAM-08-2023-0794.
[18] Waqar, A., Alrasheed, K. A., & Benjeddou, O. (2024). Enhancing construction management outcomes through the mitigation of robotics implementation barriers: A sustainable practice model. Environmental Challenges, 16, 100989. doi:10.1016/j.envc.2024.100989.
[19] Althoey, F., Waqar, A., Hamed Alsulamy, S., Khan, A. M., Alshehri, A., Idris Falqi, I., Abuhussain, M., & Awad Abuhussain, M. (2024). Influence of IoT implementation on Resource management in construction. Heliyon, 10(15), 32193. doi:10.1016/j.heliyon.2024.e32193.
[20] Waqar, A., Shafiq, N., Othman, I., Alsulamy, S. H., Alshehri, A. M., & Falqi, I. I. (2024). Deterrents to the IoT for smart buildings and infrastructure development: A partial least square modeling approach. Heliyon, 10(10), 31035. doi:10.1016/j.heliyon.2024.e31035.
[21] Finkeldey, F., Volke, J., Zarges, J. C., Heim, H. P., & Wiederkehr, P. (2020). Learning quality characteristics for plastic injection molding processes using a combination of simulated and measured data. Journal of Manufacturing Processes, 60, 134–143. doi:10.1016/j.jmapro.2020.10.028.
[22] Su, Q., Zhang, N., & Gilchrist, M. D. (2024). Precision injection moulding of micro components: Determination of heat transfer coefficient and precision process simulation. International Journal of Mechanical Sciences, 269, 109065. doi:10.1016/j.ijmecsci.2024.109065.
[23] Waqar, A., Bheel, N., & Tayeh, B. A. (2024). Modeling the effect of implementation of artificial intelligence powered image analysis and pattern recognition algorithms in concrete industry. Developments in the Built Environment, 17, 100349. doi:10.1016/j.dibe.2024.100349.
[24] Olawumi, M. A., Oladapo, B. I., Ikumapayi, O. M., & Akinyoola, J. O. (2023). Waste to wonder to explore possibilities with recycled materials in 3D printing. Science of the Total Environment, 905, 167109. doi:10.1016/j.scitotenv.2023.167109.
[25] Waqar, A., Othman, I., Shafiq, N., & Mansoor, M. S. (2024). Evaluating the critical safety factors causing accidents in downstream oil and gas construction projects in Malaysia. Ain Shams Engineering Journal, 15(1), 102300. doi:10.1016/j.asej.2023.102300.
[26] Shafiei, I., Eshtehardian, E., Nasirzadeh, F., & Arabi, S. (2023). Dynamic modeling to reduce the cost of quality in construction projects. International Journal of Construction Management, 23(1), 24–37. doi:10.1080/15623599.2020.1845425.
[27] Waqar, A., Khan, M. B., Othman, I., Mansoor, M. S., & Shafiq, N. (2022). A Systematic Literature Review on Risk Analysis of Health and Safety in Oil Refinery and Onshore Pipeline Construction Projects. 2022 International Conference on Data Analytics for Business and Industry, ICDABI 2022, 358–365. doi:10.1109/ICDABI56818.2022.10041588.
[28] Elduque, D., Clavería, I., Fernández, í., Javierre, C., Pina, C., & Santolaria, J. (2014). Analysis of the Influence of Microcellular Injection Molding on the Environmental Impact of an Industrial Component. Advances in Mechanical Engineering, 7, 793269. doi:10.1155/2014/793269.
[29] Khurshid, K., Danish, A., Salim, M. U., Bayram, M., Ozbakkaloglu, T., & Mosaberpanah, M. A. (2023). An In-Depth Survey Demystifying the Internet of Things (IoT) in the Construction Industry: Unfolding New Dimensions. Sustainability (Switzerland), 15(2), 1275. doi:10.3390/su15021275.
[30] Zheng, R., Tanner, R. I., & Fan, X. J. (2011). Injection molding: integration of theory and modeling methods. Springer Science & Business Media, Berlin, Germany. doi:10.1007/978-3-642-21263-5.
[31] Waqar, A., Shafiq, N., & Othman, I. (2024). Risk evaluation of health and safety procedures in oil refinery and onshore pipeline construction projects: Structural equation modelling approach. IOP Conference Series: Earth and Environmental Science, 1347(1), 12034. doi:10.1088/1755-1315/1347/1/012034.
[32] Zhu, J., Qiu, Z., Huang, Y., & Huang, W. (2021). Overview of injection molding process optimization technology. In Journal of Physics: Conference Series, 1798(1), 012042. doi:10.1088/1742-6596/1798/1/012042.
[33] Vähä, P., Heikkilä, T., Kilpeläinen, P., Järviluoma, M., & Gambao, E. (2013). Extending automation of building construction - Survey on potential sensor technologies and robotic applications. Automation in Construction, 36, 168–178. doi:10.1016/j.autcon.2013.08.002.
[34] Kurasov, D. A. (2022). Injection Molding Technology. Modern Trends in Manufacturing Technologies and Equipment, 21, 251–254. doi:10.21741/9781644901755-44.
[35] Ting, T. Y., & Taib, M. (2018). The awareness of building information modeling in Malaysia construction industry from contractor perspective. Malaysian Construction Research Journal, 3, 75-81.
[36] Song, M. C., Liu, Z., Wang, M. J., Yu, T. M., & Zhao, D. Y. (2007). Research on effects of injection process parameters on the molding process for ultra-thin wall plastic parts. Journal of Materials Processing Technology, 187–188, 668–671. doi:10.1016/j.jmatprotec.2006.11.103.
[37] Barazzetti, L. (2018). Integrated BIM-GIS model generation at the city scale using geospatial data. Sixth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2018), 18. doi:10.1117/12.2324646.
[38] Gaub, H. (2016). Customization of mass-produced parts by combining injection molding and additive manufacturing with Industry 4.0 technologies. Reinforced Plastics, 60(6), 401–404. doi:10.1016/j.repl.2015.09.004.
[39] Agarski, B., Budak, I., Micunovic, M. I., & Vukelic, D. (2023). Life cycle assessment of injection moulding tools and multicomponent plastic cap production. Journal of Cleaner Production, 413, 137450. doi:10.1016/j.jclepro.2023.137450.
[40] Krishnappa, M., N, C. K. N., Mallaradhya, M. H., Naik, R., Islam, S., Majdi, H. S., Kumar, S., Kumar, R., Anjinappa, C., & Khan, W. A. (2024). A Multifaceted Approach to Injection Mold Design, Analysis and Manufacturing. Research Square, 1-40. doi:10.21203/rs.3.rs-4091451/v1.
[41] Mutis, I., Fruchter, R., & Menassa, C. C. (2018). Transforming engineering education: Innovative computer-mediated learning technologies. American Society of Civil Engineers, ASCE, 1–329. doi:10.1061/9780784414866.
[42] Behera, R. K., Bala, P. K., & Dhir, A. (2019). The emerging role of cognitive computing in healthcare: A systematic literature review. International Journal of Medical Informatics, 129, 154–166. doi:10.1016/j.ijmedinf.2019.04.024.
[43] Manshahia, M. S., Kharchenko, V., Munapo, E., Thomas, J. J., & Vasant, P. (2022). Handbook of intelligent computing and optimization for sustainable development. Scrivener Publishing, 1–890. doi:10.1002/9781119792642.
[44] García-Segura, T., Montalbán-Domingo, L., Sanz, M. A., & Lozano-Torró, A. (2020). Sustainable Decision-Making Module: Application to Public Procurement. Journal of Civil Engineering Education, 146(3), 04020004. doi:10.1061/(asce)ei.2643-9115.0000014.
[45] Abuhussain, M. A., Waqar, A., Khan, A. M., Othman, I., Alotaibi, B. S., Althoey, F., & Abuhussain, M. (2024). Integrating Building Information Modeling (BIM) for optimal lifecycle management of complex structures. Structures, 60, 105831. doi:10.1016/j.istruc.2023.105831.
[46] Waqar, A., Alharbi, L. A., Abdullah Alotaibi, F., Othman, I., & Almujibah, H. (2023). Impediment to implementation of Internet of Things (IOT) for oil and gas construction project Safety: Structural equation modeling approach. Structures, 57(September), 105324. doi:10.1016/j.istruc.2023.105324.
[47] Riou, J., Guyon, H., & Falissard, B. (2016). An introduction to the partial least squares approach to structural equation modelling: a method for exploratory psychiatric research. International Journal of Methods in Psychiatric Research, 25(3), 220–231. doi:10.1002/mpr.1497.
[48] Waqar, A., Alshehri, A. H., Alanazi, F., Alotaibi, S., & Almujibah, H. R. (2023). Evaluation of challenges to the adoption of intelligent transportation system for urban smart mobility. Research in Transportation Business and Management, 51(May), 101060. doi:10.1016/j.rtbm.2023.101060.
[49] Saad Alotaibi, B., Waqar, A., Radu, D., M.Khan, A., Dodo, Y., Althoey, F., & Almujibah, H. (2024). Building information modeling (BIM) adoption for enhanced legal and contractual management in construction projects. Ain Shams Engineering Journal, 15(7), 102822. doi:10.1016/j.asej.2024.102822.
[50] Waqar, A., Andri, Qureshi, A. H., Almujibah, H. R., Tanjung, L. E., & Utami, C. (2023). Evaluation of success factors of utilizing AI in digital transformation of health and safety management systems in modern construction projects. Ain Shams Engineering Journal, 14(11), 102551. doi:10.1016/j.asej.2023.102551.
[51] Upshaw, M., & Cai, C. S. (2021). Feasibility study of MK-based geopolymer binder for RAC applications: Effects of silica fume and added CaO on compressive strength of mortar samples. Case Studies in Construction Materials, 14, e00500. doi:10.1016/j.cscm.2021.e00500.
[52] Luhar, S., Nicolaides, D., & Luhar, I. (2021). Fire Resistance Behaviour of Geopolymer Concrete: An Overview. Buildings, 11(3), 82. doi:10.3390/buildings11030082.
[53] Waqar, A., & Ahmed, W. (2023). Reimagining construction safety: unveiling the impact of building information modeling (BIM) implementation. Safety in Extreme Environments, 5(4), 265–280. doi:10.1007/s42797-023-00086-4.
[54] Nagaraju, T. V., Bahrami, A., Azab, M., & Naskar, S. (2023). Development of sustainable high performance geopolymer concrete and mortar using agricultural biomass”A strength performance and sustainability analysis. Frontiers in Materials, 10. doi:10.3389/fmats.2023.1128095.
[55] Pulini, A. A., Kerr, W. T., Loo, S. K., & Lenartowicz, A. (2019). Classification Accuracy of Neuroimaging Biomarkers in Attention-Deficit/Hyperactivity Disorder: Effects of Sample Size and Circular Analysis. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 4(2), 108–120. doi:10.1016/j.bpsc.2018.06.003.
[56] Ban, C. C., Khalaf, M. A., Ramli, M., Ahmed, N. M., Ahmad, M. S., Ahmed Ali, A. M., Dawood, E. T., & Ameri, F. (2021). Modern heavyweight concrete shielding: Principles, industrial applications and future challenges; review. Journal of Building Engineering, 39. doi:10.1016/j.jobe.2021.102290.
[57] Nomi, M., & Sabbir, M. M. (2020). Investigating the factors of consumers' purchase intention towards life insurance in bangladesh: An application of the theory of reasoned action. Asian Academy of Management Journal, 25(2), 135–165. doi:10.21315/aamj2020.25.2.6.
[58] Waqar, A., Houda, M., Khan, A. M., Qureshi, A. H., & Elmazi, G. (2024). Sustainable leadership practices in construction: Building a resilient society. Environmental Challenges, 14(January), 100841. doi:10.1016/j.envc.2024.100841.
[59] Lau, S. E. N., Aminudin, E., Zakaria, R., Saar, C. C., Abidin, N. I., Roslan, A. F., Hamid, Z. A., Zain, M. Z. M., Lou, E., & Shaharuddin, A. B. (2019). Revolutionizing the future of the construction industry: Strategizing and redefining challenges. WIT Transactions on the Built Environment, 192, 105–115. doi:10.2495/BIM190101.
[60] Das, A., & Chakrabarti, B. K. (2005). Quantum annealing and related optimization methods. Springer-Verlag, Berlin, Germany. doi:10.1007/11526216.
[61] Winfield, M. (2020). Construction 4.0 and ISO 19650: A panacea for the digital revolution? Proceedings of Institution of Civil Engineers: Management, Procurement and Law, 173(4), 175–181. doi:10.1680/jmapl.19.00051.
[62] Waqar, A., Othman, I., Saad, N., Qureshi, A. H., Azab, M., & Khan, A. M. (2023). Complexities for adopting 3D laser scanners in the AEC industry: Structural equation modeling. Applications in Engineering Science, 16, 100160. doi:10.1016/j.apples.2023.100160.
[63] Ramayah, T. J. F. H., Cheah, J., Chuah, F., Ting, H., & Memon, M. A. (2018). Partial least squares structural equation modeling (PLS-SEM) using SmartPLS 3.0. An updated guide and practical guide to statistical analysis, Pearson Malaysia Sdn Bhd, Petaling Jaya, Malaysia.

Publication Start Year:	2015
JCR 2024 Impact Factor (IF):	4.9
JIF QUARTILE:	Q1
SJR 2024 Quartile:	Q1
Acceptance Rate:	27%
Review Speed (Average):	81 days
Issue Per Year:	12
Number of Volumes:	11
Number of Issues:	119
Number of Articles:	1816
Number of Reviewers:	3624
Number of Contributors:	6178
Contributing Countries:	91
No. of WoS Citations:	7986
Scopus CiteScore:	6.5
No. of Google Citations:	24065
Google h-index:	56
Google i10-index:	804
Abstract Views:	11,481,612
PDF Download:	5,908,793

Optimizing Injection Moulding Processes for Structural Components in Construction Management

Authors

Downloads

Downloads

Login

Publisher and Affiliated Societies

Publisher

Society Collaborations

Indexing & Abstracting

SidebarMenu

Journal Imprint

Journal Imprint

Journal Metrics

Follow us

Follow Us

Most Cited Articles

Heavy Metal Removal Investigation in Conventional Activated Sludge Systems

Modeling of the Solar Thermal Energy Use in Urban Areas

Adsorption Behavior of Heavy Metal Ions by Hybrid Inulin-TEOS for Water Treatment

Application of Tuned Mass Dampers for Structural Vibration Control: A State-of-the-art Review

visitors

Analytics

Information

Address

Contact Info: