Evaluation of Lean Manufacturing Tools and Digital Technologies Effectiveness for Increasing Labour Productivity in Construction
Abstract
:1. Introduction
2. Literature Review
2.1. Time and Measurement of Construction Labour Productivity
2.2. Construction Labour Productivity and Its Impact on the Efficiency of Projects
2.3. Factors Affecting Construction Labour Productivity
2.4. Approaches to Increasing Construction Labour Productivity
3. Materials and Methods: Proposed Approach to the Implementation of Lean 4.0 and Assessment of Its Impact on Labor Productivity and Efficiency of Development Projects
3.1. Approach to the Implementation of Lean 4.0 in Development Projects
3.2. Approach to Assessing the Effects of Lean 4.0 Implementation in Construction
4. Results
4.1. Project No. 1—“Enhancement of Masonry Works on the Example of a Housing Development Project”
4.2. Project No. 2—“Increasing the Efficiency of Installation of a Heating System on the Example of a Housing Development Project”
4.3. Project No. 3—“Enhancement of Project Equipment during the Implementation of Project for the Provision of Mechanical and Electrical and Telecommunication and Warning Systems”
4.4. Project No. 4—“Optimization of Deadlines in Business Processes of Procurement Procedures through Digitalization”
4.5. Project No. 5—“Implementation of Online Checklists for Operational Quality Control and Organization of Reference Areas during Construction and Installation Works”
4.6. Project No. 6—“Improved of Design Solutions for the Arrangement of the Pit Sheeting System”
4.7. Project No. 7—“INTERACTION and Work with International Architectural Bureaus”
5. Discussion of the Results of Using the Proposed Approach
6. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A. (Objectives of Lean Manufacturing Projects)
No. | Objectives of Lean Manufacturing Projects |
1 | Increasing the productivity of work performed |
2 | Improving the quality of structures/services provided/works performed |
3 | Improving business processes |
4 | Improving working conditions and safety, environmental standards |
5 | Risk reduction |
6 | Improving the safety of work execution/services provision |
7 | Improving the efficiency of the organization of workplaces, production sites |
8 | Reducing the cost of works/services/products |
9 | Reducing all types of production and non-production losses |
10 | Reducing labour intensity (optimizing the number, improving technology) |
11 | Changes in the organizational structure, reduction of unproductive costs |
12 | Eliminating duplication of functions |
13 | Saving material and energy resources |
14 | Reducing unscheduled/scheduled downtime of workers and equipment, improving the quality of equipment repair |
15 | Increasing the lifetime of equipment |
16 | Improving the turnover of in-process inventory, supplies |
17 | Applying new technologies introduced using Lean manufacturing approaches and tools |
18 | Identification of additional income (increase in profitability) |
19 | Development and marketing of new services/products |
Appendix B. The Mechanism of Implementing the Lean 4.0 Project for the Construction Process
Appendix C. The Mechanism of Implementing the Lean 4.0 Project for the Office Process
References
- Hornbeck, R.; Moretti, E. Who Benefits from Productivity Growth? Direct and Indirect Effects of Local TFP Growth on Wages, Rents, and Inequality; No. w24661; National Bureau of Economic Research: Cambridge, MA, USA, 2018. [Google Scholar]
- Blanco, J.L.; Janauskas, M.; Ribeirinho, M.J. Beating the Low-Productivity Trap: How to Transform Construction Operations; McKinsey & Company: 2016. Available online: https://www.mckinsey.com/capabilities/operations/our-insights/beating-the-low-productivity-trap-how-to-transform-construction-operations (accessed on 8 July 2023).
- Lee, T.Y.; Ahmad, F.; Sarijari, M.A. Current Status and Future Research Trends of Construction Labor Productivity Monitoring: A Bibliometric Review. Buildings 2023, 13, 1479. [Google Scholar] [CrossRef]
- Rener, A.; Karatas, A.; Videan, B. Innovative Design and Execution Model for Improving Productivity of Interior Prefabricated Commercial Wall Assemblies. Buildings 2022, 13, 68. [Google Scholar] [CrossRef]
- Business Wire. Global Construction Industry Report 2021: $10.5 Trillion Growth Opportunities by 2023—ResearchAndMar-kets.com. 2021. Available online: https://www.businesswire.com/news/home/20210111005587/en/Global-Construction-Industry-Report-2021-10.5-Trillion-Growth-Opportunities-by-2023---ResearchAndMarkets.com (accessed on 12 June 2023).
- Ahmed, S.M.; Emam, H.H.; Farrell, P.E.T.E.R. Barriers to BIM/4D implementation in Qatar. In Smart Sustainable Healthy Cities, Proceedings of the First International Conference of the CIB Middle East and North Africa Research Network (CIB-MENA 2014), Abu Dhabi, United Arab Emirates, 14–16 December 2014; Abu Dhabi University: Abu Dhabi, United Arab Emirates, 2014; pp. 533–547. [Google Scholar] [CrossRef]
- Koutsogiannis, A. UK Could Save £15 Billion Every Year by Lifting Construction Productivity. 2018. Available online: https://www.letsbuild.com/blog/uk-could-save-15-billion-by-lifting-construction-productivity (accessed on 4 May 2023).
- Barbosa, F.; Parsons, M.; Mischke, J. Improving Construction Productivity, Global Infrastructure Initiative. 2017. Available online: https://www.globalinfrastructureinitiative.com/article/improving-construction-productivity (accessed on 4 May 2023).
- Naoum, S.G. Factors influencing labor productivity on construction sites. Int. J. Prod. Perform. Manag. 2016, 65, 401–421. [Google Scholar] [CrossRef]
- Pheng, L.S.; Gao, S.; Lin, J.L. Converging early contractor involvement (ECI) and lean construction practices for productivity enhancement. Int. J. Prod. Perform. Manag. 2015, 64, 831–852. [Google Scholar] [CrossRef]
- Hewage, K.N.; Ruwanpura, J.Y. Carpentry workers issues and efficiencies related to construction productivity in commercial construction projects in Alberta. Can. J. Civ. Eng. 2006, 33, 1075–1089. [Google Scholar] [CrossRef]
- Stevens, M.; Smoulders, J. Australian Construction Multifactor Productivity Is the Same in 1998 as in 2019: WHY? Construct, No. Four. 2020. Available online: https://www.constructmagazine.com.au/wp-content/uploads/2020/12/Construct-Issue-Four-2020-WEB.pdf (accessed on 3 July 2023).
- Moselhi, O.; Khan, Z. Significance ranking of parameters impacting construction labour productivity. Constr. Innov. 2012, 12, 272–296. [Google Scholar] [CrossRef]
- Thomas, A.V.; Sudhakumar, J. Factors influencing construction labour productivity: An Indian case study. J. Constr. Dev. Ctries. 2015, 20, 53–68. [Google Scholar]
- Liberda, M.; Ruwanpura, J.; Jergeas, G. Construction Productivity Improvement: A Study of Human, Management and External Issues; American Society of Civil Engineers (ASCE): Reston, VA, USA, 2004; pp. 1–8. [Google Scholar]
- Jarkas, A.M.; Al Balushi, R.A.; Raveendranath, P. Determinants of construction labour productivity in Oman. Int. J. Constr. Manag. 2015, 15, 332–344. [Google Scholar] [CrossRef]
- Ramani, P.V.; KSD, L.K.L. Application of lean in construction using value stream mapping. Eng. Constr. Arch. Manag. 2021, 28, 216–228. [Google Scholar] [CrossRef]
- Josephson, P.-E.; Björkman, L. Why do work sampling studies in construction? The case of plumbing work in Scandinavia. Eng. Constr. Arch. Manag. 2013, 20, 589–603. [Google Scholar] [CrossRef]
- Khanh, H.D.; Kim, S.-Y.; Van Khoa, N.; Tu, N.T. The relationship between workers’ experience and productivity: A case study of brick masonry construction. Int. J. Constr. Manag. 2021, 23, 596–605. [Google Scholar] [CrossRef]
- Hamza, M.; Shahid, S.; Bin Hainin, M.R.; Nashwan, M.S. Construction labour productivity: Review of factors identified. Int. J. Constr. Manag. 2019, 22, 413–425. [Google Scholar] [CrossRef]
- Moohialdin, A.S.M.; Lamari, F.; Miska, M.; Trigunarsyah, B. Construction worker productivity in hot and humid weather conditions: A Review of Measurement Methods at Task, Crew and Project Levels. Eng. Constr. Arch. Manag. 2020, 27, 83–108. [Google Scholar] [CrossRef]
- Hiyassat, M.A.; Hiyari, M.A.; Sweis, G.J. Factors affecting construction labour productivity: A case study of Jordan. Int. J. Constr. Manag. 2016, 16, 138–149. [Google Scholar] [CrossRef]
- Lee, J.; Park, Y.-J.; Choi, C.-H.; Han, C.-H. BIM-assisted labor productivity measurement method for structural formwork. Autom. Constr. 2017, 84, 121–132. [Google Scholar] [CrossRef]
- Kumar, Y.; Kumar, G.H.; Myneni, S.B.; Charan, C.S. Productivity Analysis of Small Construction Projects in India. Asian J. Appl. Sci. 2014, 7, 262–267. [Google Scholar] [CrossRef]
- Ghoddousi, P.; Hosseini, M.R. A Survey of the factors affecting the productivity of construction projects in Iran. Technol. Econ. Dev. Econ. 2012, 18, 99–116. [Google Scholar] [CrossRef]
- Goodrum, P.M.; Haas, C.T. Long-Term Impact of Equipment Technology on Labor Productivity in the U.S. Construction Industry at the Activity Level. J. Constr. Eng. Manag. 2004, 130, 124–133. [Google Scholar] [CrossRef]
- Nadi, E. Construction Labor Productivity Benchmarking: A Comparison between On-Site Construction and Prefabrication. Ph.D. Thesis, Marquette University, Milwaukee, WI, USA, 2019. Available online: http://www.proquest.com/docview/2303121245/abstract/6D8E07747E94382PQ/1 (accessed on 4 May 2023).
- El-Gohary, K.M.; Aziz, R.F. Factors Influencing Construction Labor Productivity in Egypt. J. Manag. Eng. 2014, 30, 1–9. [Google Scholar] [CrossRef]
- Mahamid, I. Principal factors impacting labor productivity of public construction projects in Palestine: Contractors’ perspective. Int. J. Archit. Eng. Constr. 2013, 2, 194–202. [Google Scholar]
- Małachowski, B.; Korytkowski, P. Competence-based performance model of multi-skilled workers. Comput. Ind. Eng. 2016, 91, 165–177. [Google Scholar] [CrossRef]
- Hanna, A.S.; Peterson, P.; Lee, M.-J. Benchmarking Productivity Indicators for Electrical/Mechanical Projects. J. Constr. Eng. Manag. 2002, 128, 331–337. [Google Scholar] [CrossRef]
- McTague, B.; Jergeas, G. Productivity Improvements on Alberta Major Construction Projects: Phase I-Back to Basics; Alberta Economic Development: Edmonton, AB, Canada, 2002. [Google Scholar]
- Nasir, M.K.; Hadikusumo, B.H. System dynamics model of contractual relationships between owner and contractor in con-struction projects. J. Manag. Eng. 2019, 35, 04018052. [Google Scholar] [CrossRef]
- Manyika, J.; Lund, S.; Chui, M.; Bughin, J.; Woetzel, J.; Batra, P.; Ko, R.; Sanghvi, S. Jobs Lost, Jobs Gained: What the Future of Work Will Mean for Jobs, Skills, and Wages; McKinsey Global Institute: Atlanta, GA, USA, 2017; Available online: https://www.mckinsey.com/~/media/BAB489A30B724BECB5DEDC41E9BB9FAC.ashx (accessed on 4 May 2023).
- Abdul Kadir, M.R.; Lee, W.P.; Jaafar, M.S.; Sapuan, S.M.; Ali, A.A.A. Factors affecting construction labour productivity for Malaysian residential projects. Struct. Surv. 2005, 23, 42–54. [Google Scholar] [CrossRef]
- Bin Seddeeq, A.; Assaf, S.; Abdallah, A.; Hassanain, M.A. Time and Cost Overrun in the Saudi Arabian Oil and Gas Construction Industry. Buildings 2019, 9, 41. [Google Scholar] [CrossRef]
- Palikhe, S.; Kim, S.; Kim, J.J. Critical Success Factors and Dynamic Modeling of Construction Labour Productivity. Int. J. Civ. Eng. 2019, 17, 427–442. [Google Scholar] [CrossRef]
- Alaghbari, W.; Al-Sakkaf, A.A.; Sultan, B. Factors affecting construction labour productivity in Yemen. Int. J. Constr. Manag. 2019, 19, 79–91. [Google Scholar] [CrossRef]
- Zeng, S.X.X.; Lou, G.X.; Tam, V.W.Y. Managing information flows for quality improvement of projects. Meas. Bus. Excel. 2007, 11, 30–40. [Google Scholar] [CrossRef]
- Al-Kofahi, Z.G.; Mahdavian, A.; Oloufa, A. A dynamic modelling of labor productivity impacts arising from change orders in road projects. Can. J. Civ. Eng. 2022, 49, 159–170. [Google Scholar] [CrossRef]
- Cheng, M.-Y.; Wibowo, D.K.; Prayogo, D.; Roy, A.F.V. Predicting productivity loss caused by change orders using the evolutionary fuzzy support vector machine inference model. J. Civ. Eng. Manag. 2015, 21, 881–892. [Google Scholar] [CrossRef]
- Uvarova, S.S.; Orlov, A.K.; Kankhva, V.S. Ensuring Efficient Implementation of Lean Construction Projects Using Building Information Modeling. Buildings 2023, 13, 770. [Google Scholar] [CrossRef]
- Rafael, S.; Ronen, B.; Biniamin, B.; Ury, G.; Ergo, P. KanBIM Workflow Management System: Prototype Implementation and Field Testing. Lean Constr. J. 2013, 19–35. [Google Scholar]
- Liu, M.; Ballard, G.; Ibbs, W. Work Flow Variation and Labor Productivity: Case Study. J. Manag. Eng. 2011, 27, 236–242. [Google Scholar] [CrossRef]
- Zhang, X.; Azhar, S.; Nadeem, A.; Khalfan, M. Using building information modelling to achieve Lean principles by improving efficiency of work teams. Int. J. Constr. Manag. 2018, 18, 293–300. [Google Scholar] [CrossRef]
- Khan, H.; Jain, K. Study on the Trends & Usage of Prefabrication and Modularization: Increasing Productivity in the Con-struction Industry. Int. J. Civ. Eng. Res. 2017, 8, 81–89. [Google Scholar]
- Gao, Y.; Tian, X.-L. Prefabrication policies and the performance of construction industry in China. J. Clean. Prod. 2020, 253, 120042. [Google Scholar] [CrossRef]
- Shahzad, W.; Mbachu, J.; Domingo, N. Marginal Productivity Gained Through Prefabrication: Case Studies of Building Projects in Auckland. Buildings 2015, 5, 196–208. [Google Scholar] [CrossRef]
- Das, S. Global Research and Analytics Firm. 2020. Available online: https://www.aranca.com/knowledge-library/articles/business-research/construction-technology-trend-prefabrication (accessed on 4 May 2023).
- Davis, K. Prefabrication + the New Frontier Construction Superintendent. 2020. Available online: https://consupt.com/2020/01/prefabrication-the-new-frontier/ (accessed on 4 May 2023).
- Bennett, S.T.; Han, W.; Mahmud, D.; Adamczyk, P.G.; Dai, F.; Wehner, M.; Veeramani, D.; Zhu, Z. Usability and Biomechanical Testing of Passive Exoskeletons for Construction Workers: A Field-Based Pilot Study. Buildings 2023, 13, 822. [Google Scholar] [CrossRef]
- Yang, J.; Shi, Z.; Wu, Z. Vision-based action recognition of construction workers using dense trajectories. Adv. Eng. Inform. 2016, 30, 327–336. [Google Scholar] [CrossRef]
- Konstantinou, E.; Lasenby, J.; Brilakis, I. Adaptive computer vision-based 2D tracking of workers in complex environments. Autom. Constr. 2019, 103, 168–184. [Google Scholar] [CrossRef]
- Shin, M.-H.; Jung, J.-H.; Kim, H.-Y. Quantitative and Qualitative Analysis of Applying Building Information Modeling (BIM) for Infrastructure Design Process. Buildings 2022, 12, 1476. [Google Scholar] [CrossRef]
- Gupta, S.; Jain, S.K. A literature review of lean manufacturing. Int. J. Manag. Sci. Eng. Manag. 2013, 8, 241–249. [Google Scholar] [CrossRef]
- LCI. About Us|Lean Construction Institute (LCI) Lean Construction Institute. 2022. Available online: https://leanconstruction.org/pages/about-us/ (accessed on 6 June 2022).
- Jiang, L.; Zhong, H.; Chen, J.; Cheng, J.; Chen, S.; Gong, Z.; Lun, Z.; Zhang, J.; Su, Z. Study on the construction workforce management based on lean construction in the context of COVID-19. Eng. Constr. Arch. Manag. 2022, 30, 3310–3329. [Google Scholar] [CrossRef]
- Wong, J.H.; Rashidi, A.; Arashpour, M. Evaluating the Impact of Building Information Modeling on the Labor Productivity of Construction Projects in Malaysia. Buildings 2020, 10, 66. [Google Scholar] [CrossRef]
- Rani, H.A.; Farouk, A.M.; Anandh, K.S.; Almutairi, S.; Rahman, R.A. Impact of COVID-19 on Construction Projects: The Case of India. Buildings 2022, 12, 762. [Google Scholar] [CrossRef]
- Orlov, A.K.; Solovieva, E.S. Effectiveness of lean construction methodology application for the implementation of infrastructure projects in tourism clusters. Econ. Entrep. 2021, 129, 446–450. [Google Scholar]
- Francis, A.; Thomas, A. Exploring the relationship between lean construction and environmental sustainability: A review of existing literature to decipher broader dimensions. J. Clean. Prod. 2020, 252, 119913. [Google Scholar] [CrossRef]
- Bryde, D.; Broquetas, M.; Volm, J.M. The project benefits of Building Information Modelling (BIM). Int. J. Proj. Manag. 2013, 31, 971–980. [Google Scholar] [CrossRef]
- Singh, S.; Kumar, K. A study of lean construction and visual management tools through cluster analysis. Ain Shams Eng. J. 2021, 12, 1153–1162. [Google Scholar] [CrossRef]
- Albalkhy, W.; Sweis, R. Barriers to adopting lean construction in the construction industry: A literature review. Int. J. Lean Six Sigma 2021, 12, 210–236. [Google Scholar] [CrossRef]
Activities to Be Carried Out during Lean Manufacturing Project Implementation | ||
---|---|---|
No. | Construction Process | Office Business Process |
1 | Determination of total and actual scopes of work | Defining business process boundaries with the process owner |
2 | Determination of the required pace of work based on the working schedule and the current state | Conducting interviews with business process participants |
3 | The Standardized Work and 1 × 1 Problem Solving tools are used to carry out the analysis | Building a simplified business process diagram using the Structured Flow Chart tool |
4 | Determination of the daily need for materials, resources and methods of their supply | Detailing the business process diagram and agreeing it with the owner |
5 | Determination of the daily need for the number of workers | Analysis of the business process diagram and identification of problems, losses |
6 | Division of the work site into work zones of the same labour intensity sufficient for the work of one team during the shift | Development of a business process improvement plan |
7 | Drawing up a daily work schedule | Implementing improvements using the Kaizen tool |
8 | Development and implementation of improvements using the Kaizen tool | Ensuring control over the implementation of measures taken |
9 | Ensuring control over the implementation of measures taken | Development of regulations for this business process |
10 | Development of a standard for this type of work |
No. | Criteria | Score | Weight | Offer Rating |
---|---|---|---|---|
1 | Significance | 1–5 | 20% | Score × Weight |
2 | Novelty | 1–5 | 10% | Score × Weight |
3 | Efficiency | 1–5 | 40% | Score × Weight |
4 | Scale | 1–5 | 30% | Score × Weight |
Total score | Summarized score |
Type and Sequence of Effect Formation | Formula for Calculating the Effect | Legend, Notes |
---|---|---|
Downtime reduction | T2, T1—time spent on execution with and without Lean 4.0. It is determined by time measurement [18,34] or expertly based on duration of work before and after Lean 4.0 implementation [42] | |
Labour costs reduction | C—the cost of a unit of labour (payment per man-hour) | |
Reduced turnaround time | —reduction of the period for performance (days, months, etc.) Z—costs per unit of time (day, month) For example, the cost of heating the site of the process operation, lighting, etc. can be considered as Z. | |
Reduction of material costs | —the amount of material savings, the amount of material losses prevented S—the cost of a unit of material [42]. It can be achieved through the formation of stocks for a longer period | |
Reducing the cost of machinery | A—the cost of renting the mechanism per month; O—salary of the driver; N—the number of days by which the period of work performance has been reduced. | |
Reducing the cost of correcting comments, collisions, RFI | —reduction in the number of comments, changes, collisions Zr—costs for correcting comments, changes, collisions | |
Reduction of semi-fixed costs | Usp—semi-fixed costs for the maintenance of the construction site; Ua—semi-permanent administrative and management expenses; N—the number of months by which the construction period has been reduced | |
Management costs reduction | Zg—costs for the general contractor; Zh—costs for the customer; N—the number of days by which the period of work performance has been reduced | |
Increased turnover | Volume of released working capital, including credit (acceleration of loan repayment, reduction of overpayment) [42] | |
Total costs reduction | q—the number of detected effects; Ei—the sum of the effect of the i-th type | |
Increased project efficiency | NPV2, NPV1—NPV of the project with and without Lean 4.0. |
Before | After | |
---|---|---|
Work progress rate | 17 days/floor | 6 days/floor |
Number of comments from the technical customer | 15 | 0 |
Productivity of works on laying cinder blocks | 8 m3/day | 14.5 m3/day |
Period of delivery of floors to the technical customer | 30 days | 2 days |
Work completion date | 28 May 2022 | 10 May 2022 |
Before | After | |
---|---|---|
Pipeline installation productivity | 85 l.m./shift | 270 l.m./shift |
Console manufacturing productivity | 28 pcs/shift | 70 pcs/shift |
Pipe fabrication productivity | 200 l.m./shift | 270 l.m./shift |
Existing stock of materials to ensure installation | 2 days | 21 days |
Downtime of workers waiting for the material | 1–3 days | 0 sec |
Number of comments made in the course of structures acceptance | 8 | 2 |
Work continuous production system | No | Yes |
Uninterrupted system for supplying blanks from the workshop to the installation level | No | Yes |
Before | After |
---|---|
Fire protection engineering equipment (Manufacturer A) | Fire protection engineering equipment (Manufacturer B) |
Analogue—additional equipment is required to interface with the facility fire protection system | Addressable—direct interfacing with the facility fire protection system |
Production time of the fire protection engineering equipment is 6–8 weeks | 90% of fire protection engineering equipment is available in stock (10% of complex fire protection engineering equipment is manufactured in 4–6 weeks). |
The fire protection engineering equipment of this manufacturer has not been used before and is not used at other facilities of the company | The fire protection engineering equipment of this manufacturer has already been used at other facilities of the company. |
Different manufacturers produce automatic fire alarm system for the facilities | A single manufacturer produces the automatic fire alarm system for the facilities |
The cost of fire protection engineering equipment and additional equipment —102, 955 rubles | The cost of the fire protection engineering equipment—49, 490 rubles (50–60% lower than the cost of fire protection engineering equipment offered by the manufacturer A) |
Difficulties with technical support due to different manufacturers | A flexible technical support service. |
Parameter | Before | After |
---|---|---|
Tender duration | 48 working days | 25 working days |
Time of technical project documentation approval with minor changes | 10 working days | 4 working days |
Time for the correction of errors in the tender initiation request | 3 working days | 1 working day |
Time spent on the review of the offer by an employee of the Procurement Procedure Organization Directorate | 3 h | 1 h |
Working documentation reference validity period | 2 weeks | 5 years |
Time spent by an employee of the Procurement Procedure Organization Directorate to check the operability of the working documentation reference | 0.5 working days | 0 working days |
Parameter | Before | After |
---|---|---|
Number of comments from the technical customer | 12 pcs/section | 0 pcs/section |
The planned position of the structures corresponds to the design | No | Yes |
The deviation of the wall surface from the vertical exceeds 10 mm | Yes | No |
The thickness of horizontal and vertical joints exceeds permissible values | Yes | No |
Period of structures delivery to the technical customer | 30 days | 3 days |
Number of attempts to deliver the structures to the technical customer | 6 times | 1 time |
Method of operational control | Visual | Check list |
Saving the history and analytics of comments | No | Yes |
Before | After |
---|---|
The duration of work is 152 calendar days | The duration of work is 100 calendar days |
Struts supported by a concrete insert in the foundation plate are included in the pit sheeting system | Struts supported by a concrete insert in the foundation plate are excluded from the pit sheeting system; |
Installation of the sheeting system and earthworks are carried out in three stages—work zones; | Installation of the sheeting system and earthworks are carried out in a single work zone, without division into stages; |
Benching is developed as a separate type of work; | Benching development is not a separate type of work; |
The specific quantity of metal per sheeting system structure is 256,026 tons. | The specific quantity of metal per sheeting system structure is 115,098 tons. |
Parameter | Before | After |
---|---|---|
Conclusion of a contract with a foreign architectural bureau | 30 calendar days | 30 calendar days |
Repeated conclusion of the contract in case of impossibility to implement the project | 30 calendar days | 0 calendar days |
Suspension of the project for making a decision in connection with the start of the Special Military Operation | 30 calendar days | 30 calendar days |
Concept design development | 90 calendar days | 113 calendar days |
Confirmation of the possibility to transfer money to the foreign architectural bureau | 47 calendar days | 47 calendar days |
Restriction of the Central Bank on advances to foreign companies | 114 calendar days | 114 calendar days |
Additional adjustment of main design solutions due to increased requirements of Russian design standards | 30 calendar days | 0 calendar days |
Suspension of the project due to sanctions imposed on currency transfer | 64 calendar days | 64 calendar days |
Conversion of the model from foreign to Russian software | 30 calendar days | 0 calendar days |
Architectural general concept adaptation by the General Designer | 183 calendar days | 0 calendar days |
Additional meetings to clarify the boundaries and scope of responsibilities of the design participants | 30 calendar days | 0 calendar days |
Schematic design development | 120 calendar days | 122 calendar days |
Design supervision by the foreign architectural bureau | 45 calendar days | 45 calendar days |
Lean 4.0 Project According to the Practical Approach | Results | ||
---|---|---|---|
Duration | Quality | Cost | |
Project No. 1 | -58 days | The number of comments reduced from 15 to 0 | decreased by 431,562.5 USD |
Project No. 2 | -68 days | The number of comments reduced from 8 to 2 | decreased by 647,187.5 USD |
Project No. 3 | -53 days | - | decreased by 49,270.8 USD |
Project No. 4 | -92 days | The number of contractor’s comments reduced from 26 to 2 | - |
Project No. 5 | -18 days | The number of comments reduced from 12 to 0 | decreased by 14,687.5 USD |
Project No. 6 | -52 days | - | decreased by 118,750 USD |
Project No. 7 | -113 days | - | decreased by 668,750 USD |
Total | -454 days | The number of comments reduced from 61 to 4 | decreased by 1,930,208.3 USD |
Design Stage | Construction Stage | |
---|---|---|
Reduction by days | 113 | 341 |
Number of staff | 20 | 300 |
Average salary per month | 1875 USD | 1250 USD |
Average wages per day | 84 USD | 57 USD |
Amount of savings | 189,840 USD | 5,831,100 USD |
Cost of Design | Design Duration | |
---|---|---|
without taking into account the practical approach of Lean 4.0 | 3,939,166 USD | 16.8 months |
taking into account the practical approach of Lean 4.0 | 3,077,375 USD | 13.1 months |
Cost of Construction | Construction Period | |
---|---|---|
without taking into account the Lean manufacturing methodology | 190,210,458 USD | 51 months |
taking into account the methodology of Lean manufacturing | 183,046,812 USD | 39.6 months |
NPV, USD | IRR, % | Payback Period (Downtime), Years | Payback Period (Discounted), Years | |
---|---|---|---|---|
before implementation | 78,132,968.7 | 26,587 | 7.3 | 8.8 |
after implementation | 86,158,406.3 | 32,070 | 6.2 | 7.7 |
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Kulakov, K.Y.; Orlov, A.K.; Kankhva, V.S. Evaluation of Lean Manufacturing Tools and Digital Technologies Effectiveness for Increasing Labour Productivity in Construction. Systems 2023, 11, 570. https://doi.org/10.3390/systems11120570
Kulakov KY, Orlov AK, Kankhva VS. Evaluation of Lean Manufacturing Tools and Digital Technologies Effectiveness for Increasing Labour Productivity in Construction. Systems. 2023; 11(12):570. https://doi.org/10.3390/systems11120570
Chicago/Turabian StyleKulakov, Kirill Y., Alexandr K. Orlov, and Vadim S. Kankhva. 2023. "Evaluation of Lean Manufacturing Tools and Digital Technologies Effectiveness for Increasing Labour Productivity in Construction" Systems 11, no. 12: 570. https://doi.org/10.3390/systems11120570
APA StyleKulakov, K. Y., Orlov, A. K., & Kankhva, V. S. (2023). Evaluation of Lean Manufacturing Tools and Digital Technologies Effectiveness for Increasing Labour Productivity in Construction. Systems, 11(12), 570. https://doi.org/10.3390/systems11120570