The Impact of the Learning and Forgetting Effect on the Cost of a Multi-Unit Construction Project with the Use of the Simulated Annealing Algorithm
Construction projects are often delayed. Their budgets are being exceeded. This is partly because construction project models rarely take human factors into account. The article focuses on the repetitive multi-unit projects that are often found in construction practices. They are an excellent exampl...
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Format: | Article |
Language: | English |
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MDPI AG
2022-12-01
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Series: | Applied Sciences |
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Online Access: | https://www.mdpi.com/2076-3417/12/24/12667 |
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author | Michał Podolski Jerzy Rosłon Bartłomiej Sroka |
author_facet | Michał Podolski Jerzy Rosłon Bartłomiej Sroka |
author_sort | Michał Podolski |
collection | DOAJ |
description | Construction projects are often delayed. Their budgets are being exceeded. This is partly because construction project models rarely take human factors into account. The article focuses on the repetitive multi-unit projects that are often found in construction practices. They are an excellent example of construction works for which the optimization of certain processes can bring measurable financial benefits. In particular, the focus was on improving the key investment success indicator, the total cost of a project. This article presents the use of learning and forgetting phenomenon to improve construction schedules. The authors proposed an innovative model of the construction phase and optimized the schedule using a proprietary calculation algorithm using the simulated annealing phenomenon. The method was verified by a series of experiments and showcased by a case study. The results show that the presented methods can improve the construction planning process and better reflect the current construction conditions. The findings may impact residential, infrastructure, industrial, and commercial construction branches. |
first_indexed | 2024-03-09T17:22:34Z |
format | Article |
id | doaj.art-e3431e2eecad410a8bb2fd4a9622a7e0 |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-03-09T17:22:34Z |
publishDate | 2022-12-01 |
publisher | MDPI AG |
record_format | Article |
series | Applied Sciences |
spelling | doaj.art-e3431e2eecad410a8bb2fd4a9622a7e02023-11-24T13:02:41ZengMDPI AGApplied Sciences2076-34172022-12-0112241266710.3390/app122412667The Impact of the Learning and Forgetting Effect on the Cost of a Multi-Unit Construction Project with the Use of the Simulated Annealing AlgorithmMichał Podolski0Jerzy Rosłon1Bartłomiej Sroka2Faculty of Civil Engineering, Wrocław University of Science and Technology, 50-370 Wrocław, PolandFaculty of Civil Engineering, Warsaw University of Technology, Armii Ludowej 16, 00-637 Warszawa, PolandFaculty of Civil Engineering, Cracow University of Technology, 31-155 Kraków, PolandConstruction projects are often delayed. Their budgets are being exceeded. This is partly because construction project models rarely take human factors into account. The article focuses on the repetitive multi-unit projects that are often found in construction practices. They are an excellent example of construction works for which the optimization of certain processes can bring measurable financial benefits. In particular, the focus was on improving the key investment success indicator, the total cost of a project. This article presents the use of learning and forgetting phenomenon to improve construction schedules. The authors proposed an innovative model of the construction phase and optimized the schedule using a proprietary calculation algorithm using the simulated annealing phenomenon. The method was verified by a series of experiments and showcased by a case study. The results show that the presented methods can improve the construction planning process and better reflect the current construction conditions. The findings may impact residential, infrastructure, industrial, and commercial construction branches.https://www.mdpi.com/2076-3417/12/24/12667learning and forgettingconstructionoptimizationmulti-unit projectsimulated annealingschedule |
spellingShingle | Michał Podolski Jerzy Rosłon Bartłomiej Sroka The Impact of the Learning and Forgetting Effect on the Cost of a Multi-Unit Construction Project with the Use of the Simulated Annealing Algorithm Applied Sciences learning and forgetting construction optimization multi-unit project simulated annealing schedule |
title | The Impact of the Learning and Forgetting Effect on the Cost of a Multi-Unit Construction Project with the Use of the Simulated Annealing Algorithm |
title_full | The Impact of the Learning and Forgetting Effect on the Cost of a Multi-Unit Construction Project with the Use of the Simulated Annealing Algorithm |
title_fullStr | The Impact of the Learning and Forgetting Effect on the Cost of a Multi-Unit Construction Project with the Use of the Simulated Annealing Algorithm |
title_full_unstemmed | The Impact of the Learning and Forgetting Effect on the Cost of a Multi-Unit Construction Project with the Use of the Simulated Annealing Algorithm |
title_short | The Impact of the Learning and Forgetting Effect on the Cost of a Multi-Unit Construction Project with the Use of the Simulated Annealing Algorithm |
title_sort | impact of the learning and forgetting effect on the cost of a multi unit construction project with the use of the simulated annealing algorithm |
topic | learning and forgetting construction optimization multi-unit project simulated annealing schedule |
url | https://www.mdpi.com/2076-3417/12/24/12667 |
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