USO DE TÉCNICAS COMPUTACIONAIS NO APRIMORAMENTO DA TOMADA DE DICISÕES NO SETOR DE CONSTRUÇÃO: REVISÃO SISTEMÁTICA DA LITERATURA
DOI:
https://doi.org/10.46421/entac.v18i.1181Palavras-chave:
Pesquisa Operacional, Algoritmos, Simulação, Planejamento, Tomada de DecisõesResumo
No mercado de construção, o uso de técnicas computacionais, oriundas da área de Pesquisa Operacional, como forma de subsidiar a tomada de decisões tanto em fases de pré-construção, como durante a execução, se torna cada vez mais relevante. Assim, o presente estudo busca avaliar quais ferramentas tem chamado mais atenção de pesquisadores, e em quais processos elas têm sido utilizadas. Para isso, optou-se pelo método de Revisão Sistemática da Literatura. Foi realizado, assim, um extenso processo de busca em três bases de dados de publicações, tendo sido possível selecionar 41 trabalhos recentes que se relacionam com o tema em questão. Os trabalhos foram analisados de acordo com o tipo de técnica utilizada, destacando-se o uso algoritmos meta-heurísticos e de simulação. Por sua vez, foi possível observar a aplicação dessas técnicas em diversos tipos de processo, como planejamento de atividades, dos custos, utilização de recursos, layout de canteiro e desempenho da segurança.
Referências
AGDAS, Duzgun et al. Utility of genetic algorithms for solving large-scale construction time-cost trade-off problems. Journal of Computing in Civil Engineering, v. 32, n. 1, 2018.
AHMADIAN FARD FINI, Alireza et al. Dynamic programming approach toward optimization of workforce planning decisions. Journal of Construction Engineering and Management, v. 144, n. 2, 2018.
ALTAF, Mohammed Sadiq et al. Integrated production planning and control system for a panelized home prefabrication facility using simulation and RFID. Automation in construction, v. 85, p. 369-383, 2018.
AMIRI, Mohammad Javad Taheri et al. Multi-project time-cost optimization in critical chain with resource constraints. KSCE Journal of Civil Engineering, v. 22, n. 10, p. 3738-3752, 2018.
ARAÚJO, C. Bibliometria: evolução histórica e questões atuais. redalyc.org, 2006.
BEZERRA, P. H. P., SCHEER, S. Uso de Building Information Modeling para o aprimoramento e automatização do planejamento de obras: revisão sistemática da literatura. In: ENCONTRO NACIONAL DE TECNOLOGIA DO AMBIENTE CONSTRUÍDO, 18., 2018, Foz do Iguaçu. Anais... Porto Alegre: ANTAC, 2018.
BOZEJKO, Wojciech; HEJDUCKI, Zdzislaw; WODECKI, Mieczyslaw. Flowshop scheduling of construction processes with uncertain parameters. Archives of Civil and Mechanical Engineering, v. 19, n. 1, p. 194-204, 2019.
CHEN et al. Optimal facility layout planning for AGV-based modular prefabricated manufacturing system. Automation in Construction, v. 98, p. 310-321, 2019.
CHENG, Min-Yuan; PRAYOGO, Doddy; TRAN, Duc-Hoc. Optimizing multiple-resources leveling in multiple projects using discrete symbiotic organisms search. Journal of Computing in Civil Engineering, v. 30, n. 3, 2016.
CHENG, Min-Yuan; TRAN, Duc-Hoc. An efficient hybrid differential evolution based serial method for multimode resource-constrained project scheduling. KSCE Journal of Civil Engineering, v. 20, n. 1, p. 90-100, 2016.
DAMCI, Atilla; ARDITI, David; POLAT, Gul. Impacts of different objective functions on resource leveling in line-of-balance scheduling. KSCE journal of civil engineering, v. 20, n. 1, p. 58-67, 2016.
DRESCH, Aline; LACERDA, Daniel Pacheco; JÚNIOR, José Antonio Valle Antunes. Design science research: método de pesquisa para avanço da ciência e tecnologia. Bookman Editora, 2020.
DU, Jing; KIM, Byung-Cheol; ZHAO, Dong. Cost performance as a stochastic process: EAC projection by Markov Chain simulation. Journal of Construction Engineering and Management, v. 142, n. 6, 2016.
EL-ABBASY, Mohammed S.; ELAZOUNI, Ashraf; ZAYED, Tarek. Generic scheduling optimization model for multiple construction projects. Journal of computing in civil engineering, v. 31, n. 4,2017.
FAGHIHI, V. et al. Automation in construction scheduling: a review of the literature. The International Journal of Advanced Manufacturing Technology, v. 81, n. 9–12, p. 1845–1856,2015.
GARCÍA-NIEVES, Juan Diego et al. Multipurpose linear programming optimization model for repetitive activities scheduling in construction projects. Automation in construction, v. 105, 2019.
GIRAN, Omer; TEMUR, Rasim; BEKDAŞ, Gebrail. Resource constrained project scheduling by harmony search algorithm. KSCE Journal of Civil Engineering, v. 21, n. 2, p. 479-487, 2017.
GOLZARPOOR, Hamed et al. A non-queue-based paradigm in Discrete-Event-Simulation modelling for construction operations. Simulation Modelling Practice and Theory, v. 77, p. 49-67, 2017.
HAMMAD, A. W. A.; AKBARNEZHAD, A.; REY, D. A multi-objective mixed integer nonlinear programming model for construction site layout planning to minimise noise pollution and transport costs. Automation in construction, v. 61, p. 73-85, 2016.
HERAVI, Gholamreza; MORIDI, Saeed. Resource-Constrained Time-Cost Tradeoff for Repetitive Construction Projects. KSCE Journal of Civil Engineering, v. 23, n. 8, 2019.
HILLIER, F. S; LIEBERMAN, G. J. Introdução à pesquisa operacional. Porto Alegre: AMGH, 2010.
HUANG, Yuansheng; ZOU, Xin; ZHANG, Lihui. Genetic algorithm–based method for the deadline problem in repetitive construction projects considering soft logic. Journal of Management in Engineering, v. 32, n. 4, 2016.
KARATAS, Aslihan; EL-RAYES, Khaled. Optimal trade-offs between housing cost and environmental performance. Journal of Architectural Engineering, v. 22, n. 2, 2016.
KAVEH, Ali; ESLAMLOU, Armin Dadras. Multi-objective Optimization of Construction Site Layout.
In: Metaheuristic Optimization Algorithms in Civil Engineering: New Applications. Springer, Cham, 2020. p. 309-330.
KAVEH, Ali; ESLAMLOU, Armin Dadras. Optimization of Tower Crane Location and Material Quantity Between Supply and Demand Points. In: Metaheuristic Optimization Algorithms in Civil Engineering: New Applications. Springer, Cham, 2020. p. 259-288.
KAVEH, Ali; VAZIRINIA, Yasin. Construction site layout planning problem using metaheuristic algorithms: a comparative study. Iranian Journal of Science and Technology, Transactions of Civil Engineering, v. 43, n. 2, p. 105-115, 2019.
KÖNIG, M. et al. Intelligent BIM-based construction scheduling using discrete event simulation. dl.acm.org, 2012.
KWON, Nahyun et al. Compensation Cost Estimation Model for Construction Noise Claims Using Case-Based Reasoning. Journal of Construction Engineering and Management, v. 145, n. 8,2019.
LEE, Jeonghoon; HYUN, Hosang. Multiple Modular Building Construction Project Scheduling Using Genetic Algorithms. Journal of Construction Engineering and Management, v. 145, n. 1, 2019.
LIU, Jia et al. Solving Resource-Constrained Project Scheduling Problem via Genetic Algorithm. Journal of Computing in Civil Engineering, v. 34, n. 2, 2020.
MANGAL, Mohit; CHENG, Jack CP. Automated optimization of steel reinforcement in RC building frames using building information modeling and hybrid genetic algorithm. Automation in Construction, v. 90, p. 39-57, 2018.
MORENO, Francisco et al. A Fixed Start Scheduling Approach for Repetitive Construction Projects. KSCE Journal of Civil Engineering. 2020.
PEREIRA, Estacio et al. Case-based reasoning approach for assessing safety performance using safety-related measures. Journal of Construction Engineering and Management, v. 144, n. 9,2018.
PEREIRA, Estacio; HAN, SangUk; ABOURIZK, Simaan. Integrating case-based reasoning and simulation modeling for testing strategies to control safety performance. Journal of Computing in Civil Engineering, v. 32, n. 6, 2018.
PINHA, Denis C.; AHLUWALIA, Rashpal S. Flexible resource management and its effect on project cost and duration. Journal of Industrial Engineering International, v. 15, n. 1, p. 119-133, 2019.
PIRYONESI, Sayed Madeh; TAVAKOLAN, Mehdi. A mathematical programming model for solving cost-safety optimization (CSO) problems in the maintenance of structures. KSCE Journal of Civil Engineering, v. 21, n. 6, p. 2226-2234, 2017.
PRAYOGO, Doddy et al. Optimization model for construction project resource leveling using a novel modified symbiotic organisms search. Asian Journal of Civil Engineering, v. 19, n. 5, p. 625-638, 2018.
RAOUFI, Mohammad; FAYEK, Aminah Robinson. Fuzzy Monte Carlo Agent-Based Simulation of Construction Crew Performance. Journal of Construction Engineering and Management, v. 146, n. 5, 2020.
RAUSCH, Christopher et al. Monte Carlo simulation for tolerance analysis in prefabrication and offsite construction. Automation in Construction, v. 103, p. 300-314, 2019.
ROBERTSON, Brian; SRINIVASAN, Raj; MCFARLANE, Duncan. Dynamic Postponement in OffSite/On-Site Construction Operations in the Face of On-Site Disruptions. In: International Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing. Springer, Cham, 2018. p. 261-272.
SHAHBAZI, Babak et al. Optimization of Job Allocation in Construction Organizations to Maximize Workers’ Career Development Opportunities. Journal of Construction Engineering and Management, v. 145, n. 6, 2019.
SHRESTHA, Prabhat; BEHZADAN, Amir H. Chaos theory–inspired evolutionary method to refine imperfect sensor data for data-driven construction simulation. Journal of Construction Engineering and Management, v. 144, n. 3, 2018.
SIU, Ming-Fung Francis; LU, Ming; ABOURIZK, Simaan. Resource supply-demand matching scheduling approach for construction workface planning. Journal of construction engineering and management, v. 142, n. 1, 2016.
SONG, Xiaoling et al. A decision making system for construction temporary facilities layout planning in large-scale construction projects. International Journal of Civil Engineering, v. 15, n. 2, p. 333-353, 2017.
TAO, Sha et al. Space-time repetitive project scheduling considering location and congestion. Journal of Computing in Civil Engineering, v. 32, n. 3, 2018.
VOTTO, Rodrigo; LEE HO, Linda; BERSSANETI, Fernando. Applying and Assessing Performance of Earned Duration Management Control Charts for EPC Project Duration Monitoring. Journal of Construction Engineering and Management, v. 146, n. 3, 2020.
ZOU, Xin; ZHANG, Qian; ZHANG, Lihui. Modeling and solving the deadline satisfaction problem in line-of-balance scheduling. Journal of Management in Engineering, v. 34, n. 1, 2018.
