EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 455 (2023) E3S Web Conf., 455 (2023) 03001 References
Open Access
Issue
E3S Web Conf.
Volume 455, 2023
First International Conference on Green Energy, Environmental Engineering and Sustainable Technologies 2023 (ICGEST 2023)
Article Number 03001
Number of page(s) 9
Section Sustainable Technology in Construction
DOI https://doi.org/10.1051/e3sconf/202345503001
Published online 05 December 2023
  1. A. Mojumder, A. Singh, An exploratory study of the adaptation of green supply chain management in construction industry: The case of Indian Construction Companies, J. Clean. Prod. 295, 126400 (2021) [CrossRef] [Google Scholar]
  2. B. Nikmehr, M. R. Hosseini, I. Martek, E. K. Zavadskas, J. Antucheviciene, Digitalization as a Strategic Means of Achieving Sustainable Efficiencies in Construction Management: A Critical Review, Sustainability 13, 9 (2021) [Google Scholar]
  3. R. A. Khan, M. S. Liew, Z. B. Ghazali, Malaysian Construction Sector and Malaysia Vision 2020: Developed Nation Status, Proc. Soc. Behav. Sci. 109, 507-513 (2014) [CrossRef] [Google Scholar]
  4. G. K. Kulkarni, Construction industry: More needs to be done, Indian J. Occup. Environ. Med. 11, 1 (2007) [CrossRef] [Google Scholar]
  5. M. A. Mohd Fateh, M. R. Mohamed, S. A. Omar, The Involvement of Local Skilled Labour in Malaysia’s Construction Industry, Front. Built Environ. 8 (2022) https://www.frontiersin.org/articles/10.3389/fbuil.2022.861018 [CrossRef] [Google Scholar]
  6. R. Veerasanai, A. Alias, A review of foreign construction firm presence in the Malaysian construction industry, Int. J. Constr. Manag. 22, 10, 1830-1843 (2022) [Google Scholar]
  7. H. P. Tserng, H.-H. Liao, E. J. Jaselskis, L. K. Tsai, P.-C. Chen, Predicting Construction Contractor Default with Barrier Option Model, J. Constr. Eng. Manag. 138, 5, 621-630 (2012) [CrossRef] [Google Scholar]
  8. R. Siew, Critical Evaluation of Environmental, Social and Governance Disclosures of Malaysian Property and Construction Companies, Constr. Econ. Build. 17, 81 (2017) [CrossRef] [Google Scholar]
  9. H. Alhazmi, A. K. Alduwais, T. Tabbakh, S. Aljamlani, B. Alkahlan, A. Kurdi, Environmental Performance of Residential Buildings: A Life Cycle Assessment Study in Saudi Arabia, Sustainability 13, 6 (2021) [Google Scholar]
  10. L. Lima, E. Trindade, L. Alencar, M. Alencar, L. Silva, Sustainability in the construction industry: A systematic review of the literature, J. Clean. Prod. 289, 125730 (2021) [CrossRef] [Google Scholar]
  11. Z. J. Liu, P. Pypłacz, M. Ermakova, P. Konev, Sustainable Construction as a Competitive Advantage, Sustainability 12, 15 (2020) [Google Scholar]
  12. M. Iqbal, J. Ma, N. Ahmad, K. Hussain, M. Waqas, Y. Liang, Sustainable construction through energy management practices: an integrated hierarchal framework of drivers in the construction sector, Environ. Sci. Pollut. Res. 29, 60, 90108-90127 (2022) [CrossRef] [PubMed] [Google Scholar]
  13. S. El-Sayegh, L. Romdhane, S. Manjikian, A critical review of 3D printing in construction: benefits, challenges, and risks, Arch. Civ. Mech. Eng. 20, 2 (2020) [CrossRef] [Google Scholar]
  14. H. Golizadeh, M. R. Hosseini, I. Martek, D. Edwards, M. Gheisari, S. Banihashemi, J. Zhang, Scientometric analysis of research on ‘remotely piloted aircraft’: A research agenda for the construction industry, Eng. Constr. Archit. Manag. 27, 3, 634-657 (2019) [CrossRef] [Google Scholar]
  15. H. Khalesi, A. Balali, A. Valipour, J. Antucheviciene, D. Migilinskas, V. Zigmund, Application of Hybrid SWARA-BIM in Reducing Reworks of Building Construction Projects from the Perspective of Time, Sustainability, 12, 21 (2020) [Google Scholar]
  16. E. Kazimieras Zavadskas, J. Antucheviciene, S. Kar, Multi-Objective and MultiAttribute Optimization for Sustainable Development Decision Aiding, Sustainability 11, 11 (2019) [Google Scholar]
  17. T. Kim, Y. Yoon, B. Lee, N. Ham, J. J. Kim, Cost-Benefit Analysis of Scan-vs-BIM- Based Quality Management, Buildings, 12, 12 (2022) [CrossRef] [Google Scholar]
  18. T. N. Dinh, K. C. Kuo, W. M. Lu, D. T. Nguyen, The effect of quantitative easing on Asian construction firms’ performance, Int. J. Constr. Manag. 23, 1, 38-47 (2023) [Google Scholar]
  19. I. M. Horta, A. S. Camanho, Company failure prediction in the construction industry, Expert Syst. Appl. 40, 16, 6253-6257 (2013) [CrossRef] [Google Scholar]
  20. K. Kosmidou, C. Zopounidis, Combining Goal Programming Model With Simulation Analysis For Bank Asset Liability Management, INFOR Inf. Syst. Oper. Res. 42, 3, 175182 (2004) [Google Scholar]
  21. W. S. Lam, W. H. Lam, P. F. Lee, Decision Analysis on the Financial Management of Shipping Companies using Goal Programming Model, in 2021 International Conference on Decision Aid Sciences and Application, DASA, 7-8 December 2021, Bahrain (2021) [Google Scholar]
  22. B. A. Halim, H. A. Karim, N. A. Fahami, N. F. Mahad, S. K. S. Nordin, N. Hassan, Bank Financial Statement Management using a Goal Programming Model, Proc. Soc. Behav. Sci. 211, 498-504 (2015) [CrossRef] [Google Scholar]
  23. A. AlArjani, T. Alam, Lexicographic Goal Programming Model for Bank’s Performance Management, J. Appl. Math. 2021, e8011578 (2021) [CrossRef] [Google Scholar]
  24. W. H. Lam, W. S. Lam, P. F. Lee, Optimizing the Financial Management of Electronic Companies using Goal Programming Model, J. Phys.: Conf. Ser. 2070, 1, 012046 (2021) [CrossRef] [Google Scholar]
  25. N. Hamta, M. Ehsanifar, J. Sarikhani, Presenting a goal programming model in the timecost-quality trade-off, Int. J. Constr. Manag. 21, 1, 1-11 (2021) [Google Scholar]
  26. H. Zhao, G. He, Research on target cost control of construction project based on goal programming, in the 16th International Conference on Industrial Engineering and Engineering Management, 21-23 October 2009, Beijing, China (2009) [Google Scholar]
  27. Y. Wang, M. Cui, L. Xia, S. Chen, Research on Systematic Definition of Goal Programming of Highway Construction Progress, in Advances in Electric and Electronics, 21-22 April 2012, Sanya, China (2012) [Google Scholar]
  28. Y. B. Abdelkrim, K. Tissourassi, Application of goal programming model for allocating time and cost in project management: A case study from the company of construction SEROR, Yugoslav J. Oper. Res. 25, 10 (2014) [Google Scholar]
  29. N. N. Vibahakar, K. K. Tripathi, S. Johari, K. N. Jha, Identification of significant financial performance indicators for the Indian construction companies, Int. J. Constr. Manag. 23, 1, 13-23 (2023) [Google Scholar]
  30. A. Hasani, R. Sheikh, Robust goal programming approach for healthcare network management for perishable products under disruption, Appl. Math. Model. 117, 399416 (2023) [CrossRef] [Google Scholar]
  31. I. Yilmaz, L. Polat, Celiac disease multi-purpose diet plan through integrated goal programming and Interval Type 2 Fuzzy TOPSIS method, Expert Syst. Appl. 218, 119618 (2023) [CrossRef] [Google Scholar]
  32. Ö. Nalan Bilişik, H. Baraçli, A binary fuzzy goal programming model with fuzzy parameters to select the fruits and vegetables market hall location for Istanbul, Expert Syst. Appl. 211, 118490 (2023) [CrossRef] [Google Scholar]
  33. M. Gezen, A. Karaaslan, Energy planning based on Vision-2023 of Turkey with a goal programming under fuzzy multi-objectives, Energy 261, 124956 (2022) [CrossRef] [Google Scholar]
  34. D. K. Jana, S. Bhattacharjee, P. Dostál, Z. Janková, B. Bej, Bi-criteria optimization of cleaner biofuel supply chain model by novel fuzzy goal programming technique, Clean. Logist. Supply Chain 4, 100044 (2022) [CrossRef] [Google Scholar]
  35. D. Deliktaş, S. Karagoz, V. Simić, N. Aydin, A stochastic Fermatean fuzzy-based multichoice conic goal programming approach for sustainable supply chain management in end-of-life buildings, J. Clean. Prod. 382, 135305 (2023) [CrossRef] [Google Scholar]
  36. Md. S. Aktar, M. De, S. K. Mazumder, M. Maiti, Multi-objective green 4-dimensional transportation problems for damageable items through type-2 fuzzy random goal programming, Appl. Soft Comput. 130, 109681 (2022) [CrossRef] [Google Scholar]
  37. P. Gupta, M. K. Mehlawat, S. Yadav, A. Kumar, A polynomial goal programming approach for intuitionistic fuzzy portfolio optimization using entropy and higher moments, Appl. Soft Comput. 85, 105781 (2019) [CrossRef] [Google Scholar]
  38. B. Aouni, C. Colapinto, D. La Torre, Financial portfolio management through the goal programming model: Current state-of-the-art, Eur. J. Oper. Res. 234, 2, 536-545 (2014) [CrossRef] [Google Scholar]
  39. S. Lozano, I. Contreras, Centralised resource allocation using Lexicographic Goal Programming. Application to the Spanish public university system, Socio-Econ. Plan. Sci. 84, 101419 (2022) [Google Scholar]
  40. T. Alam, Modeling and Analyzing a Multi-Objective Financial Planning Model Using Goal Programming, Appl. Syst. Innov. 5, 6 (2022) [Google Scholar]
  41. W. H. Lam, W. S. Lam, K. F. Liew, P. F. Lee, Decision Analysis on the Financial Performance of Companies Using Integrated Entropy-Fuzzy TOPSIS Model, Mathematics 11, (2023) [Google Scholar]
  42. P. F. Lee, W. S. Lam, W. H. Lam, Performance Evaluation of the Efficiency of Logistics Companies with Data Envelopment Analysis Model, Mathematics, 11, 3, 718 (2023) [CrossRef] [Google Scholar]
  43. P. F. Lee, W. S. Lam, W. H. Lam, Evaluation and Improvement of the Efficiency of Logistics Companies with Data Envelopment Analysis Model, Eng. J. 25, 45-54, (2021) [CrossRef] [Google Scholar]
  44. J. Kaur, O. Singh, A. Anand, M. Agarwal, A goal programming approach for agile-based software development resource allocation, Decis. Anal. J., 6, 100146 (2023) [CrossRef] [Google Scholar]
  45. X. Wu, Y. Wu, X. Cheng, C. Cheng, Z. Li, Y. Wu, A mixed-integer linear programming model for hydro unit commitment considering operation constraint priorities, Renewable Energy, 204, 507-520 (2023) [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.