Optimising Construction Efficiency: A Comprehensive Survey-Based Approach to Waste Identification and Recommendations with BIM and Lean Construction
Abstract
1. Introduction
Literature Review
2. Materials and Methods
3. Results and Discussion
3.1. Waste Factors from Literature Review
3.2. Waste at the Construction Site: Survey Study
3.2.1. Profiles of Respondents
3.2.2. Waste Factors and Types
3.2.3. External Factors
3.2.4. Construction Management
3.2.5. Production
3.2.6. Resources, Communication with Suppliers
3.2.7. Selected Waste from Literature Review
3.2.8. New Wastes
3.2.9. Variability of Results over the Years
3.2.10. The Most Important and Common Waste Factors
3.2.11. Summarising Section 3.2—Survey on Construction Site Waste
3.3. Recommended Methods from the Literature for Reducing Waste
3.3.1. Lean Construction
3.3.2. Building Information Modelling
3.3.3. Summarising Section 3.3—Solutions for Waste Reduction
3.4. Recommended Solution to Reduce Waste
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Koskela, L. Application of the New Production Philosophy to Construction; Stanford University: Stanford, CA, USA, 1992. [Google Scholar]
- Ogundipe, O.B.; Okwandu, A.C.; Abdulwaheed, S.A. Optimizing construction supply chains through AI: Streamlining material procurement and logistics for project success. GSC Adv. Res. Rev. 2024, 20, 147–158. [Google Scholar] [CrossRef]
- Liu, J.; Yi, Y.; Wang, X. Exploring factors influencing construction waste reduction: A structural equation modeling approach. J. Clean. Prod. 2020, 276, 123185. [Google Scholar] [CrossRef]
- Carvalho, A.B.; Maués, L.M.F.; Moreira Fde, S.; Reis, C.J.L. Study on the factors of delay in construction works. Ambiente Construído 2021, 21, 27–46. [Google Scholar] [CrossRef]
- Bajjou, M.S.; Chafi, A. Exploring the critical waste factors affecting construction projects. Eng. Constr. Archit. Manag. 2022, 29, 2268–2299. [Google Scholar] [CrossRef]
- Luxiang, W.; Zhende, Z.; Xinghua, X.; Junyu, W. Research trends in the treatment and recycling of construction and demolition waste based on literature data-driven visualization. J. Environ. Manag. 2024, 371, 123018. [Google Scholar]
- Asdrubali, F.; Fronzetti Colladon, A.; Segneri, L.; Gandola, D.M. LCA and energy efficiency in buildings: Mapping more than twenty years of research. Energy Build 2024, 321, 114684. [Google Scholar] [CrossRef]
- Ohno, T. Toyota Production System; Beyond Large-Scale Production; Productivity Press: New York, NY, USA, 1988. [Google Scholar]
- Womack, J.P.; Jones, D.T.; Roos, D. The Machine That Changed the World; Macmillan: New York, NY, USA, 1990. [Google Scholar]
- Daoud, A.O.; Omar, H.; Othman, A.A.E.; Ebohon, O.J. Integrated Framework Towards Construction Waste Reduction: The Case of Egypt. Int. J. Civ. Eng. 2023, 21, 695–709. [Google Scholar] [CrossRef]
- Waqar, A.; Othman, I.; Saad, N.; Azab, M.; Khan, A.M. BIM in green building: Enhancing sustainability in the small construction project. Clean. Environ. Syst. 2023, 11, 100149. [Google Scholar] [CrossRef]
- Borkowski, A.S. Propedeutyka BIM—Filozofia Modelowania Informacji o Obiekcie Budowlanym, 1st ed.; Oficyna Wydawnicza Politechniki Warszawskiej: Warsaw, Poland, 2024. [Google Scholar]
- Barth, L.; Schweiger, L.; Benedech, R.; Ehrat, M. From data to value in smart waste management: Optimizing solid waste collection with a digital twin-based decision support system. Decis. Anal. J. 2023, 9, 100347. [Google Scholar] [CrossRef]
- Hasselsteen, L.; Lindhard, S.M.; Kanafani, K. Resource management at modern construction sites: Bridging the gap between scientific knowledge and industry practice and needs. J. Environ. Manag. 2024, 366, 121835. [Google Scholar] [CrossRef]
- Ismail, N.A.A.; Hasbullah, I.S.; Mohamed, M.A.; Marhani, M.A.; Rooshdi, R.R.R.M.; Sahamir, S.R.; Golizadeh, H. Lean-BIM Collaborative Approach for Sustainable Construction Projects in Malaysia. J. Adv. Res. Appl. Sci. Eng. Technol. 2023, 33, 356–366. [Google Scholar] [CrossRef]
- Hadi, A.; Cheung, F.; Adjei, S.; Dulaimi, A. Evaluation of Lean Off-Site Construction Literature through the Lens of Industry 4.0 and 5.0. J. Constr. Eng. Manag. 2023, 149, 03123007. [Google Scholar] [CrossRef]
- Karatas, I.; Budak, A. Influence on construction waste of the lean–building information modelling interaction. Proc. Inst. Civ. Eng.–Eng. Sustain. 2023, 177, 242–255. [Google Scholar] [CrossRef]
- Lam, E.W.M.; Chan, A.P.C.; Olawumi, T.O.; Wong, I.; Kazeem, K.O. Facilitators and benefits of implementing lean premise design: A case of Hong Kong high-rise buildings. J. Build. Eng. 2023, 80, 108013. [Google Scholar] [CrossRef]
- Bang, S.; Andersen, B. Utilising Artificial Intelligence in Construction Site Waste Reduction. J. Eng. Proj. Prod. Manag. 2022, 12, 239–249. [Google Scholar] [CrossRef]
- European Commission, Directorate-General for Research and Innovation. Industry 5.0, a Transformative Vision for Europe—Governing Systemic Transformations Towards a Sustainable Industry; European Commission, Directorate-General for Research and Innovation: Brussels, Belgium, 2021.
- Horman, M.J.; Kenley, R. Quantifying Levels of Wasted Time in Construction with Meta-Analysis. J. Constr. Eng. Manag. 2005, 131, 52–61. [Google Scholar] [CrossRef]
- Sixpoints Interankiety. Available online: https://www.interankiety.pl/ (accessed on 2 January 2025).
- Berawi, M.A.; Sari, M.; Miraj, P.; Mardiansyah, M.; Saroji, G.; Susantono, B. Lean Construction Practice on Toll Road Project Improvement: A Case Study in Developing Country. Civ. Eng. J. 2023, 9, 3186–3201. [Google Scholar] [CrossRef]
- Shin, M.-H.; Kim, H.-Y.; Liao, J.-F. Performance Measurement and Analysis of Building Information Modeling (BIM) Applications in the Railway Infrastructure Construction Phase. Appl. Sci. 2024, 14, 502. [Google Scholar] [CrossRef]
- Shingo, S. A Study of the Toyota Production System; Productivity Press: New York, NY, USA, 2005. [Google Scholar]
- Serpell, A.; Venturi, A.; Contreras, J. Characterization of Waste in Building Construction Projects. In Proceedings of the 3rd Annual Conference International Group for Lean Construction, Albuquerque, NM, USA, 1995. [Google Scholar]
- Alarcón, L.F. Tools for the identification and reduction of waste in construction projects. In Lean Construction; A.A. Balkema: Rotterdam, The Netherlands, 1997; pp. 365–378. [Google Scholar]
- Formoso, C.; Isatto, E.; Hirota, E. Method for Waste Control in the Building Industry. In Proceedings of the IGLC-7, Berkeley, CA, USA, 26–28 July 1999; pp. 325–334. [Google Scholar]
- Birek, S.; Jaśkowski, P.; Sobotka, A. Zarządzanie W Budownictwie; Wydawnictwo Politechniki Lubelskiej: Lublin, Poland, 2003. [Google Scholar]
- Koskela, L. Making-Do—The Eighth Category of Waste. In Proceedings of the 12th Conference of the International Group for Lean Construction, Helsingør, Denmark, 3–5 August 2004. [Google Scholar]
- Patton, J. Task Diminishment: Construction value loss through sub-optimal task execution. In Proceedings of the IAJC-IJME 2008 Conference, Nashville, TN, USA, 17–19 November 2008; Volume 10. [Google Scholar]
- Leśniak, A. Przyczyny opóźnień budowy w opiniach wykonawców. Czas. Tech. Bud. 2012, 109, 57–68. [Google Scholar]
- Bølviken, T.; Rooke, J.; Koskela, L. The wastes of production in construction—A TRV based taxonomy. In Proceedings of the IGLC22, Oslo, Norway, 25–27 June 2014. [Google Scholar]
- Czaczkowski, W. The implementation of the Kaizen philosophy to quality management in construction enterprise. In Philosophy and Practice of Subjectivity; Zakład Filozofii SGGW Warszawa: Warsaw, Poland, 2014; pp. 144–157. [Google Scholar]
- Ankomah, E.; Baiden, B.; Ofori-Kuragu, J. Lean Techniques Approaches to Managing Ghanaian Contractor Supply Chains. Int. J. Constr. Eng. Manag. 2015, 4, 87–94. [Google Scholar]
- Fireman, M.C.T.; Formoso, C.T.; Isatto, E.L. Integrating production and quality control: Monitoring making-do and unfinished work. In Proceedings of the 21th Annual Conference of the International Group for Lean Construction, Fortaleza, Brazil, 29 July –2 August 2013. [Google Scholar]
- Act of 21 November 2024 Amending the Waste Act and the Act Amending the Waste Act and Certain other Acts; Journal of Laws: Warsaw, Poland, 2024.
- Act of 14 December 2012 on Waste, as Amended; Journal of Laws: Warsaw, Poland, 2013.
- Directive (EU) 2018/851 of the European Parliament and of the Council of 30 May 2018 Amending Directive 2008/98/EC on Waste (Text with EEA Relevance); Official Journal of the European Union: Belgium, Brussels, 2018.
- Zima, K.; Mitera-Kiełbasa, E. Level of Information Need for BIM Models: Australia, New Zealand and ISO 19650. Civ. Environ. Eng. Rep. 2022, 32, 1–3. [Google Scholar] [CrossRef]
- European Commission. Digitalisation in the Construction Sector; European Commission: Belgium, Brussels, 2021.
- Nowotarski, P.; Paslawski, J.; Skwarek, J. Waste Reduction by Lean Construction—Office Building Case Study. IOP. Conf. Ser. Mater. Sci. Eng. 2019, 603, 042061. [Google Scholar] [CrossRef]
- Leite, K.P.; Neto Jde, P.B. Value Stream in Housing Design. In Proceedings of the 21th Annual Conference of the International Group for Lean Construction IGLC, Fortaleza, Brazil, 29 July–2 August 2013; pp. 419–428. [Google Scholar]
- Szóstak, M. Requirements of Ordering Procurers regarding the use of BIM technology in public procurement. Przegląd Bud. 2023, 94, 43–47. [Google Scholar] [CrossRef]
- Eze, E.C.; Aghimien, D.O.; Aigbavboa, C.O.; Sofolahan, O. Building information modelling adoption for construction waste reduction in the construction industry of a developing country. Eng. Constr. Archit. Manag. 2022, 31, 2205–2223. [Google Scholar] [CrossRef]
- Pakhale, P.D.; Pal, A. Digital project management in infrastructure project: A case study of Nagpur Metro Rail Project. Asian J. Civ. Eng. 2020, 21, 639–647. [Google Scholar] [CrossRef]
- Lee, J.H.; Park, J.J.; Yoon, H. Automatic Bridge Design Parameter Extraction for Scan-to-BIM. Appl. Sci. 2020, 10, 7346. [Google Scholar] [CrossRef]
- Jin, M.; Li, B. Dual-Level Framework for OpenBIM-Enabled Design Collaboration. Buildings 2023, 13, 3031. [Google Scholar] [CrossRef]
- Koo, H.J.; O’Connor, J.T. A Strategy for Building Design Quality Improvement through BIM Capability Analysis. J. Constr. Eng. Manag. 2022, 148, 04022066. [Google Scholar] [CrossRef]
- Doukari, O.; Seck, B.; Greenwood, D. The efficient generation of 4D BIM construction schedules: A case study of the Nanterre 2 CESI project in France. Front. Built Environ. 2022, 8, 998309. [Google Scholar] [CrossRef]
- Alnaser, A.A.; Alsanabani, N.M.; Al-Gahtani, K.S. BIM Impact on Construction Project Time Using System Dynamics in Saudi Arabia’s Construction. Buildings 2023, 13, 2267. [Google Scholar] [CrossRef]
- Almusaiabi, H.; Naimi, S. Total Quality Management’s Critical Role in Resolving Delay Issue of Construction Projects Submission. Math. Model. Eng. Probl. 2023, 10, 1419–1426. [Google Scholar] [CrossRef]
- Singh, A.K.; Krishnaraj, L.; Kumar, V.R.P. Design and Energy Analysis of Green Villa Compared with Conventional Villa Using Virtual Design Modelling. In Sustainable Construction Materials; Springer: Singapore, 2022; pp. 257–268. [Google Scholar]
- Choi, J.; Lee, S.; Kim, I. Development of Quality Control Requirements for Improving the Quality of Architectural Design Based on BIM. Appl. Sci. 2020, 10, 7074. [Google Scholar] [CrossRef]
- Li, Y.; Wu, Y.; Gao, X. Measures for the optimization and management of construction safety based on BIM technology. IOP Conf. Ser. Earth. Environ. Sci. 2020, 552, 012018. [Google Scholar] [CrossRef]
- Biswas, H.K.; Sim, T.Y.; Lau, S.L. Impact of Building Information Modelling and Advanced Technologies in the AEC Industry: A Contemporary Review and Future Directions. J. Build. Eng. 2024, 82, 108165. [Google Scholar] [CrossRef]
- Salleh, H.; Ahmad, A.A.; Abdul-Samad, Z.; Alaloul, W.S.; Ismail, A.S. BIM Application in Construction Projects: Quantifying Intangible Benefits. Buildings 2023, 13, 1469. [Google Scholar] [CrossRef]
- Zima, K.; Mitera-Kiełbasa, E. ICT in the AEC industry in Poland. Inżynieria I Budownictwo 2024, 80, 83–87. [Google Scholar] [CrossRef]
- Mitera-Kiełbasa, E.; Zima, K. BIM Policy Trends in Europe: Insights from a Multi-Stage Analysis. Appl. Sci. 2024, 14, 4363. [Google Scholar] [CrossRef]
- Department for Business, Innovation and Skills. A Report for the Government Construction Client Group. Building Information Modelling (BIM) Working Party Strategy Paper; Department for Business, Innovation and Skills: London, UK, 2011.
According: Author(s) (Year of Publication) | Selected Waste Factor/Type | Notes |
---|---|---|
Ohno T. (1988) [8] | Waste of overproduction | Waste from the Toyota production system |
Waste of time on hand (waiting) | Waste from the Toyota production system | |
Waste in transportation | Waste from the Toyota production system | |
Waste of processing itself | Waste from the Toyota production system | |
Waste of stock on hand (inventory) | Waste from the Toyota production system | |
Waste of movement | Waste from the Toyota production system | |
Waste of making defective products | Waste from the Toyota production system | |
Koskela L. (1992) [1] | Lack of constructability | |
Lack of safety | ||
Serpell A., Venturi A., Contreras J. (1995) [26] | Caused by conversion: inappropriate method, poor planning, poor quality | Controllable |
Caused by management: ineffective control, decision making—bad allocation, poor distribution | Controllable | |
Caused by failures in external flows | Non-controllable | |
Caused by environmental causes | Non-controllable | |
Alarcón L. (1997) [27] | Poorly planned workplaces: lack of places, too many people working in a limited space, poor working conditions | |
Damages to work already finished | ||
Ineffective supervision/control: Poor or no supervision | ||
Storage of materials in inappropriate places | ||
Formoso C.T., Isatto E.L., Hirota E. (1999) [28] | Substitution | e.g., inadequate or overly expensive materials, overly skilled employees, highly sophisticated equipment |
Burglary, vandalism | ||
Birek S., Jaśkowski P., Sobotka A. (2003) [29] | Location-related waste: excessive rental or purchase price, suboptimal use of space, inefficient location | |
Koskela L. (2004) [30] | Making-do | Refers to reducing productivity by starting or continuing work without sufficient assets to complete; Inspired by Ronen, B. (1992) The Complete Kit Concept. International Journal of Production 30 (10) |
Patton J.R. (2009) [31] | Task diminishment | Informal acceptance of non-compliance from the point of view of quality management |
Leśniak A. (2012) [32] | Mistakes and inconsistencies in the design documentation | |
Delays in payments from the investor or to subcontractors | ||
Bad relations between the investor and the contractor | ||
Difficulties in obtaining the necessary permits to implement the works | ||
Contractor’s lack of access to modern technologies | ||
Bølviken T., Rooke J., Koskela L. (2014) [33] | Buffering | A strategy in which one type of waste is used to reduce others |
Inefficient work | ||
Czaczkowski W. (2014) [34] | Irregularity (Jap. mura) | |
Excessive workload of employees (Jap. muri) | ||
Unused potential of the employee | ||
Ankomah E.N., Baiden B.K., Ofori-Kuragu J.K. (2015) [35] | Bad relationships between contractors and suppliers | |
Bad handling leading to materials waste | ||
Lack of trust between contractors and suppliers | ||
Fireman M.C.T., Formoso C.T., Isatto E.L. (2013) [36] | Lack/insufficient/inadequate water and electricity infrastructure needed to carry out the works | |
Unfinished work—rework, small finishing works that are left behind when the crew leaves the workstation—made at a later date, not necessarily by the same crew |
2016 | 2021 | 2024 | |
---|---|---|---|
Experience | |||
Less than 2 years | 8% | 11% | 18% |
3–5 years | 19% | 0% | 9% |
6–10 years | 23% | 44% | 27% |
11–20 years | 31% | 33% | 27% |
Over 20 years | 19% | 11% | 18% |
Company size | |||
up to 9 permanent employees | 8% | 0% | 9% |
10 to 49 permanent employees | 12% | 0% | 27% |
50 to 249 permanent employees | 19% | 0% | 9% |
more than 250 permanent employees | 62% | 100% | 55% |
Work position | |||
Contract Manager/Site Manager /Founder/Director/ | 44% | 78% | 36% |
Works Manager | 20% | 11% | 18% |
Site engineer | 16% | 11% | 36% |
Manager/Engineer for bidding, contracting, documentation | 12% | 0% | 9% |
Administrative Position | 0% | 0% | 0% |
Manual worker | 0% | 0% | 0% |
Other | 8% | 0% | 0% |
Industry | |||
General Contractor | 85% | 100% | 100% |
Subcontractor in the construction industry | 8% | 0% | 0% |
Subcontractor in the sanitary industry | 8% | 0% | 0% |
Subcontractor in the electrical industry | 0% | 0% | 0% |
Investor’s team | 0% | 0% | 0% |
Workplace (multiple choice question) | |||
Poland | 100% | 100% | 100% |
Other | 28% | 11% | 9% |
Waste Factor/Type | The Degree of Occurrence * 1–4 | The Importance/Impact of Factors/ Types of Waste, e.g., on Cost, Time, Quality * 1–4 | |||||
---|---|---|---|---|---|---|---|
2016 | 2021 | 2024 | 2016 | 2021 | 2024 ↓ | ||
Mistakes and inconsistencies in the design documentation | 2.85 | 2.89 | 3.4 | 3.35 | 3.67 | 3.6 | The degree of occurrence, where: 1 means—Does not occur or occurs very rarely 2 means—Occurs sometimes 3 means—Occurs often 4 means—Always present |
Mistakes and quality defects in the performed works, non-compliance with the intended use | 1.77 | 1.67 | 1.90 | 2.96 | 3 | 3.5 | |
Ineffective/not fast enough/too fast/unprofitable introduction of changes | 1.92 | 1.44 | 2.18 | 2.31 | 2.89 | 3.4 | |
Improper handling leading to materials waste | 2.19 | 2.11 | 2.4 | 2.62 | 3.11 | 3.3 | |
Delays in execution of construction works | 2.19 | 2.33 | 3.1 | 3.07 | 3.33 | 3.2 | |
Excessive workload of employees | 2.65 | 2.56 | 3 | 2.69 | 2.67 | 3.1 | |
Damages to already completed work | 2.85 | 2.56 | 2.8 | 2.73 | 3.22 | 3.1 | |
Waste in steering—ineffective supervision/control: poor or no supervision | 2.23 | 1.89 | 2 | 2.62 | 3.11 | 3 | |
Unfinished work—rework, small finishing works that are left behind when the crew leaves the workstation—made at a later date, not necessarily by the same crew | 2.35 | 1.44 | 2.5 | 2.62 | 3.11 | 3 | |
Waste in management, such as poor decision-making, ineffective planning, and unclear strategies and procedures | 2.19 | 1.56 | 2.11 | 2.81 | 3.22 | 2.9 | |
Negligence in preparation to obtain the necessary arrangements/permits | 1.81 | 1.56 | 2.3 | 2.69 | 3.11 | 2.9 | |
Task diminishment (task reduction, loss, diminution)—refers to the failure to perform the work in accordance with the specification | 1.88 | 1.56 | 2.1 | 2.35 | 2.78 | 2.8 | |
Bad relations between the investor and the contractor | 2.19 | 178 | 2.1 | 2.35 | 2.44 | 2.8 | The importance/impact of factors/types of waste, e.g., on cost, time, quality, where: 1 means—No impact or its negligible dimension (does not matter) 2 means—Low impact (unimportant) 3 means—Occurs often 4 means—Always present |
Storage of materials in inappropriate places | 2.23 | 2.22 | 2.18 | 2.52 | 2.78 | 2.7 | |
Substitution: inadequately, poorly selected construction equipment | 1.62 | 1.33 | 2 | 2.5 | 2.78 | 2.7 | |
Poorly planned workplaces: lack of places, too many people working in a limited space, poor working conditions; lack of safety | 2.19 | 1.67 | 2.09 | 2.65 | 2.89 | 2.7 | |
Waste caused by over-processing—any activity that is not necessary to produce a product or service with the parameters and quality level required by the customer, for example non-optimal use of material, machine, energy and labour, waste of material | 1.96 | 1.33 | 1.8 | 2.31 | 2.67 | 2.7 | |
Making-do refers to starting or continuing work before the required conditions for completion are met, e.g., sufficient supplies | 2.08 | 2.22 | 2.2 | 2.46 | 2.67 | 2.7 | |
Delays in payments from the Investor or to subcontractors | 2.12 | 1.89 | 2.1 | 2.63 | 2.44 | 2.7 | |
Waste from external factors, e.g., mistakes in external flows; environmental factors | 1.73 | 1.89 | 1.8 | 1.96 | 2.44 | 2.7 | |
Waste of inventory—more than the necessary minimum quantity of materials, semi-finished products, work in progress and finished products | 1.96 | 2.11 | 2.09 | 2.44 | 2.67 | 2.6 | |
Poor communication between contractor and supplier, lack of mutual trust | 2.04 | 1.89 | 2.1 | 2.23 | 2.67 | 2.6 | |
Unused potential of the employee | 2.08 | 2.11 | 2.30 | 2.31 | 3.33 | 2.6 | |
Inefficient work of the employee | 2.23 | 2.33 | 2.50 | 2.73 | 3 | 2.6 | |
Unnecessary transport—unnecessary movement of products or materials | 2 | 1.89 | 1.73 | 2.15 | 2.78 | 2.5 | |
Lack/insufficient/inadequate water and electricity infrastructure needed to carry out the works | 1.69 | 1.22 | 2.1 | 2.04 | 2.78 | 2.5 | |
Waste caused by waiting— concerns machines, people waiting for the materials, tools, instructions or information needed to get the job done | 2.12 | 1.67 | 2 | 2.31 | 2.67 | 2.5 | |
Irregularity, for example, intensive work, then stoppage | 1.96 | 1.56 | 2.09 | 2.23 | 2.78 | 2.5 | |
Contractor’s lack of access to modern technologies | 1.92 | 1.44 | 2 | 2.35 | 2.67 | 2.3 | |
Waste from movement—any unnecessary physical efforts performed by worker | 2.08 | 1.56 | 1.9 | 2 | 2.33 | 2.3 | |
Overproduction—producing products and services in advance or in greater quantity than is necessary at the moment | 1.73 | 1.44 | 1.3 | 2.15 | 2.11 | 2.2 | |
Location-related waste: excessive rental or purchase price, suboptimal use of space, inefficient location (for example too far from suppliers) | 1.69 | 2 | 2.1 | 2.15 | 2.67 | 2.2 | |
Burglary, vandalism | 1.85 | 1.56 | 1.7 | 2.12 | 2.22 | 2.11 | |
Buffering: a strategy in which one type of waste is used to reduce others | 1.69 | 1.44 | 1.5 | 2.08 | 2.56 | 1.8 | |
Others | O for occurrence, I for importance 2016: The bid included erroneous assumptions. O4, I4 2016: Heating a building insufficiently “adapted” for winter conditions O4, I4 2016: Investor expectations were imprecisely defined. O2; I4 2016: Equipment failures and flooding during startup phases. O3, I3 2016: The time allocated for execution, as imposed by the Investor, was insufficient. O3, I3 2016: Overdesign—occurs as designers frequently oversize elements to protect against liability for errors. Optimising these elements can lead to cost reductions of up to 50% in most projects. |
Waste Factor/Type | The Importance/Impact of Factors/Types of Waste, e.g., on Cost, Time, Quality 1–4 | |||||
---|---|---|---|---|---|---|
Pos. | 2016 | Pos. | 2021 | Pos. | 2024 | |
Mistakes and inconsistencies in the design documentation | 1 | 3.35 | 1 | 3.67 | 1 | 3.6 |
Mistakes and quality defects of the works performed, non-compliance with the intended use | 3 | 2.96 | 5 | 3 | 2 | 3.5 |
Ineffective/not fast enough/too fast/unprofitable introduction of changes | 15 | 2.31 | 6 | 2.89 | 3 | 3.4 |
Bad handling leading to materials waste | 9 | 2.62 | 4 | 3.11 | 4 | 3.3 |
Delays in execution of construction works | 2 | 3.07 | 2 | 3.33 | 5 | 3.2 |
Mistakes and inconsistencies in the design documentation | 1 | 3.35 | 1 | 3.67 | 1 | 3.6 |
Delays in execution of construction works | 2 | 3.07 | 2 | 3.33 | 5 | 3.2 |
Unused potential of the employee | 15 | 2.31 | 2 | 3.33 | 11 | 2.6 |
Waste in management, for example bad decision allocation, ineffective planning, unclear strategies and procedures | 4 | 2.81 | 3 | 3.22 | 8 | 2.9 |
Damages to work already finished | 5 | 2.73 | 3 | 3.22 | 6 | 3.1 |
Mistakes and inconsistencies in the design documentation | 1 | 3.35 | 1 | 3.67 | 1 | 3.6 |
Delays in execution of construction works | 2 | 3.07 | 2 | 3.33 | 5 | 3.2 |
Mistakes and quality defects of the works performed, non-compliance with the intended use | 3 | 2.96 | 5 | 3 | 2 | 3.5 |
Waste in management, for example bad decision allocation, ineffective planning, unclear strategies and procedures | 4 | 2.81 | 3 | 3.22 | 8 | 2.9 |
Damages to work already finished | 5 | 2.73 | 3 | 3.22 | 6 | 3.1 |
Waste Factor/Type | The Degree of Occurrence 1–4 | |||||
---|---|---|---|---|---|---|
Pos. | 2016 | Pos. | 2021 | Pos. | 2024 | |
Mistakes and inconsistencies in the design documentation | 1 | 2.85 | 1 | 2.89 | 1 | 3.4 |
Delays in execution of construction works | 5 | 2.19 | 3 | 2.33 | 2 | 3.1 |
Excessive workload of employees | 2 | 2.65 | 2 | 2.56 | 3 | 3 |
Damages to work already finished | 1 | 2.85 | 2 | 2.56 | 4 | 2.8 |
Inefficient work by the employee | 4 | 2.23 | 3 | 2.33 | 5 | 2.5 |
Mistakes and inconsistencies in the design documentation | 1 | 2.85 | 1 | 2.89 | 1 | 3.4 |
Excessive workload of employees | 2 | 2.65 | 2 | 2.56 | 3 | 3 |
Damages to work already finished | 1 | 2.85 | 2 | 2.56 | 4 | 2.8 |
Delays in execution of construction works | 5 | 2.19 | 3 | 2.33 | 2 | 3.1 |
Inefficient work by the employee | 4 | 2.33 | 3 | 2.33 | 5 | 2.5 |
Mistakes and inconsistencies in the design documentation | 1 | 2.85 | 1 | 2.89 | 1 | 3.4 |
Damages to work already finished | 1 | 2.85 | 2 | 2.56 | 4 | 2.8 |
Excessive workload of employees | 2 | 2.65 | 2 | 2.56 | 3 | 3 |
Unfinished work—rework, small finishing works that are left behind when the crew leaves the workstation—made at a later date, not necessarily by the same crew | 3 | 2.35 | 11 | 1.44 | 5 | 2.5 |
Inefficient work by the employee | 4 | 2.23 | 3 | 2.33 | 5 | 2.5 |
Especially Important | Especially Frequent |
---|---|
Mistakes and inconsistencies in the design documentation | Mistakes and inconsistencies in the design documentation |
Delays in execution of construction works | Damages to work already finished |
Mistakes and quality defects of the works performed, non-compliance with the intended use | Excessive workload of employees |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Mitera-Kiełbasa, E.; Zima, K. Optimising Construction Efficiency: A Comprehensive Survey-Based Approach to Waste Identification and Recommendations with BIM and Lean Construction. Sustainability 2025, 17, 4027. https://doi.org/10.3390/su17094027
Mitera-Kiełbasa E, Zima K. Optimising Construction Efficiency: A Comprehensive Survey-Based Approach to Waste Identification and Recommendations with BIM and Lean Construction. Sustainability. 2025; 17(9):4027. https://doi.org/10.3390/su17094027
Chicago/Turabian StyleMitera-Kiełbasa, Ewelina, and Krzysztof Zima. 2025. "Optimising Construction Efficiency: A Comprehensive Survey-Based Approach to Waste Identification and Recommendations with BIM and Lean Construction" Sustainability 17, no. 9: 4027. https://doi.org/10.3390/su17094027
APA StyleMitera-Kiełbasa, E., & Zima, K. (2025). Optimising Construction Efficiency: A Comprehensive Survey-Based Approach to Waste Identification and Recommendations with BIM and Lean Construction. Sustainability, 17(9), 4027. https://doi.org/10.3390/su17094027