Technical Papers
Feb 8, 2021

Developing an Optimum Material Procurement Schedule by Integrating Construction Program and Budget Using NSGA-II

Publication: Journal of Construction Engineering and Management
Volume 147, Issue 4

Abstract

Procuring the correct materials at the right time and for the lowest cost is essential in construction. This fact underlines the importance of an optimized material procurement schedule integrated with the construction schedule/program. However, few studies examine the development of a material procurement schedule by integrating the construction schedule and optimizing material costs as well as any material shortage impact. In addition, budget constraints and maximum storage capacity are rarely captured in existing models for material procurement optimization. To address these shortcomings, an optimization model is developed using the nondominated sorting genetic algorithm II (NSGA-II) and executed in MATLAB R2017a. This model was implemented in a construction project that developed a material delivery schedule based on the budget constraints and maximum storage capacity for five majorly used building materials, resulting in a costs saving of 31.17% and a reduction in shortage impact of 83.47% compared with the actual delivery schedule. The developed model also incorporates the minimum order quantity and standard shipping size as well as avoiding surplus materials, leading to sustainable procurement of materials. Construction practitioners can use this model for procuring materials when facing budget constraints in a construction project with the lowest cost and least shortage and without excess or insufficient purchasing. The model will aid in completing the project within the stipulated time and budgeted cost.

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Data Availability Statement

Some or all data, models, or codes that support the findings of this study are available from the corresponding author upon reasonable request.

References

Ala-Risku, T., and M. Kärkkäinen. 2006. “Material delivery problems in construction projects: A possible solution.” Int. J. Prod. Econ. 104 (1): 19–29. https://doi.org/10.1016/j.ijpe.2004.12.027.
Barriga, E. M., J. G. Jeong, M. Hastak, and M. Syal. 2005. “Material requirements planning for a manufactured housing facility.” J. Archit. Eng. 11 (3): 91–98. https://doi.org/10.1061/(ASCE)1076-0431(2005)11:3(91).
Caldas, C. H., C. L. Menches, P. M. Reyes, L. Navarro, and D. M. Vargas. 2014. “Materials management practices in the construction industry.” Pract. Period. Struct. Des. Constr. 20 (3): 1–8. https://doi.org/10.1061/(ASCE)SC.1943-5576.0000238.
CII (Construction Industry Institute). 2020. “Material management: Best practice definition.” Accessed March 5, 2020. https://www.construction-institute.org/resources/knowledgebase/best-practices/materials-management.
Deb, K., A. Pratap, S. Agarwal, and T. Meyarivan. 2002. “A fast and elitist multiobjective genetic algorithm: NSGA-II.” IEEE Trans. Evol. Comput. 6 (2): 182–197. https://doi.org/10.1109/4235.996017.
Dixit, V., R. K. Srivastava, and A. Chaudhuri. 2013. “Integrating materials management with project management of complex projects.” J. Adv. Manage. Res. 10 (2): 230–278. https://doi.org/10.1108/JAMR-05-2013-0031.
Dixit, V., R. K. Srivastava, and A. Chaudhuri. 2014. “Procurement scheduling for complex projects with fuzzy activity durations and lead times.” Comput. Ind. Eng. 76 (Oct): 401–414. https://doi.org/10.1016/j.cie.2013.12.009.
Dodin, B., and A. A. Elimam. 2001. “Integrated project scheduling and material planning with variable activity duration and rewards.” IIE Trans. 33 (11): 1005–1018. https://doi.org/10.1023/A:1010994519405.
Doloi, H., A. Sawhney, K. C. Iyer, and S. Rentala. 2012. “Analysing factors affecting delays in Indian construction projects.” Int. J. Project Manage. 30 (4): 479–489. https://doi.org/10.1016/j.ijproman.2011.10.004.
Georgy, M., and S. Y. Basily. 2008. “Using genetic algorithms in optimizing construction material delivery schedules.” Constr. Innovation 8 (1): 23–45. https://doi.org/10.1108/14714170810846503.
Guo, C., J. Guo, L. Ji, M. Chen, and L. Tian. 2017. “Development of bulk material management system and research on material balance applications based on business intelligence.” In Proc., 2017 IEEE 14th Int. Conf. on e-Business Engineering, 31–37. Beijing: China Nuclear Power Engineering Company. https://doi.org/10.1109/ICEBE.2017.15.
Gurmu, A. T. 2020. “Construction materials management practices enhancing labour productivity in multi-storey building projects.” Int. J. Constr. Manage. 20 (1): 77–86. https://doi.org/10.1080/15623599.2018.1462447.
Habibi, F., F. Barzinpour, and S. J. Sadjadi. 2019. “A mathematical model for project scheduling and material ordering problem with sustainability considerations: A case study in Iran.” Comput. Ind. Eng. 128 (Feb): 690–710. https://doi.org/10.1016/j.cie.2019.01.007.
Ibn-Homaid, N. T. 2002. “A comparative evaluation of construction and manufacturing material management.” Int. J. Project Manage. 20 (4): 263–270. https://doi.org/10.1016/S0263-7863(01)00013-8.
Jha, K. N. 2015. “Construction material management.” In Construction project management: Theory and practices. 2nd ed. London: Pearson.
Jusoh, Z. M., and N. Kasim. 2017. “Influential factors affecting materials management in construction projects.” Manage. Prod. Eng. Rev. 8 (4): 82–90. https://doi.org/10.1515/mper-2017-0039.
Kar, S., and K. N. Jha. 2020a. “Assessing criticality of construction materials for prioritizing their procurement using ANP-TOPSIS.” Int. J. Constr. Manage. 1–11. https://doi.org/10.1080/15623599.2020.1742637.
Kar, S., and K. N. Jha. 2020b. “Examining the effect of material management issues on the schedule and cost performance of construction projects based on a structural equation model: A survey of Indian experiences.” J. Constr. Eng. Manage. 146 (9): 05020011. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001906.
Kim, S. B. 2014. “Assessment of CII best practices usage in the construction industry.” KSCE J. Civ. Eng. 18 (5): 1228–1238. https://doi.org/10.1007/s12205-014-0221-z.
Kulkarni, V., R. Sharma, and M. Hote. 2017. “Factors affecting material management on construction site.” Int. Res. J. Eng. Technol. 4 (1): 474–478.
Navon, R., and O. Berkovich. 2006. “An automated model for materials management and control.” Constr. Manage. Econ. 24 (6): 635–646. https://doi.org/10.1080/01446190500435671.
Paquete, L., and T. Stützle. 2018. “Stochastic local search algorithms for multiobjective combinatorial optimization: A.” In Handbook of approximation algorithms and metaheuristics: Methodologies and traditional applications, 1. Boca Raton, FL: CRC Press.
Polat, G., and D. Arditi. 2005. “The JIT materials management system in developing countries.” Constr. Manage. Econ. 23 (7): 697–712. https://doi.org/10.1080/01446190500041388.
Said, H., and K. El-Rayes. 2011. “Optimizing material procurement and storage on construction sites.” J. Constr. Eng. Manage. 137 (6): 421–431. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000307.
Shtub, A. 1988. “The integration of CPM and material management in project management.” Constr. Manage. Econ. 6 (4): 261–272. https://doi.org/10.1080/01446198800000023.
Tabrizi, B. H., and S. F. Ghaderi. 2016a. “A robust bi-objective model for concurrent planning of project scheduling and material procurement.” Comput. Ind. Eng. 98 (Aug): 11–29. https://doi.org/10.1016/j.cie.2016.05.017.
Tabrizi, B. H., and S. F. Ghaderi. 2016b. “Simultaneous planning of the project scheduling and material procurement problem under the presence of multiple suppliers.” Eng. Optim. 48 (9): 1474–1490. https://doi.org/10.1080/0305215X.2015.1114772.
Zahraie, B., and M. Tavakolan. 2009. “Stochastic time-cost resource utilization optimization using nondominated sorting genetic algorithm and discrete fuzzy sets.” J. Constr. Eng. Manage. 135 (11): 1162–1171. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000092.
Zoraghi, N., A. Shahsavar, and S. T. A. Niaki. 2017. “A hybrid project scheduling and material ordering problem: Modeling and solution algorithms.” Appl. Soft Comput. 58 (Sep): 700–713. https://doi.org/10.1016/j.asoc.2017.05.030.

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 147Issue 4April 2021

History

Received: May 18, 2020
Accepted: Nov 9, 2020
Published online: Feb 8, 2021
Published in print: Apr 1, 2021
Discussion open until: Jul 8, 2021

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Authors

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Ph.D. Research Scholar, Dept. of Civil Engineering, Indian Institute of Technology Delhi, New Delhi, Delhi 110016, India (corresponding author). ORCID: https://orcid.org/0000-0002-9618-227X. Email: [email protected]
Ph.D. Candidate, Dept. of Civil, Architectural, and Environmental Engineering, Univ. of Texas at Austin, 301 E. Dean Keeton St., ECJ 5.412, Austin, TX 78712. ORCID: https://orcid.org/0000-0002-5824-6527. Email: [email protected]
Kumar Neeraj Jha, Ph.D. [email protected]
Professor, Dept. of Civil Engineering, Indian Institute of Technology Delhi, New Delhi, Delhi 110016, India. Email: [email protected]

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