Chapter
Mar 7, 2022

Determination of Optimal Rolling Planning Period for the Management of BIM-Based Construction Supply Chain Processes

Publication: Construction Research Congress 2022

ABSTRACT

Current construction projects often suffer from a lack of synchronization between on-site material requirements and supply. This is at least partially because of the use of a fixed rolling planning period and the length of material lead times. The length of the rolling planning period matters because it affects when materials are ordered. The later the materials are ordered, the higher the chance of having material shortages that will cause progress delays. The earlier the materials are ordered, the higher the chance of having them delivered too early and having to organize storage and keeping track of inventory. This study proposes a methodology to determine the optimal rolling planning period for construction projects, that is, the period that provides the lowest total cost considering unexpected delays in construction progress and the unexpected need to store materials on site. The optimal period was determined using data extracted from a regularly updated building information model (BIM) and a heuristic search algorithm. The methodology is used to plan the raw materials for site-mix concrete for an office building project to be completed in four weeks. It is shown that the methodology can reduce costs related to materials arriving too early or too late on site.

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REFERENCES

Chen, Q., Adey, B. T., Haas, C., and Hall, D. M. 2020. “Using look-ahead plans to improve material flow processes on construction projects when using BIM and RFID technologies”. CI, 20(3):471–508.
Chen, Q., Garcia de Soto, B., and Adey, B. T. 2018. “Construction automation: Research areas, industry concerns and suggestions for advancement”. Autom Constr, 94:22–38.
Chen, Q., Garcia de Soto, B., and Adey, B. T. 2021. “Supplier-contractor coordination approach to managing demand fluctuations of ready-mix concrete”. Autom Constr, 121:1–18. Article No. 103423.
Consilvio, A., Febbraro, A. D., and Sacco, N. 2020. “A Rolling-Horizon Approach for Predictive Maintenance Planning to Reduce the Risk of Rail Service Disruptions”. IEEE Trans. on Reliability, 1–13.
Dallasega, P., Rauch, E., and Frosolini, M. 2018. “A Lean Approach for Real-Time Planning and Monitoring in Engineer-to-Order Construction Projects”. Buildings, 8(3):1–22.
Eastman, C. M., Teicholz, P. M., Sacks, R., and Lee, G. 2018. BIM handbook: a guide to building information modeling for owners, managers, designers, engineers and contractors. Hoboken, NJ: Wiley.
Heigermoser, D., Garcia de Soto, B., Abbott, E. L. S., and Chua, D. K. H. 2019. “BIM-based Last Planner System tool for improving construction project management”, Autom Constr, 104: 246–254.
Sahin, F., Narayanan, A., and Robinson, E. P. 2013, “Rolling horizon planning in supply chains: review, implications and directions for future research”, Int. J. of Prod Res, 51(18): 5413–5436.
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Go to Construction Research Congress 2022
Construction Research Congress 2022
Pages: 263 - 273

History

Published online: Mar 7, 2022

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Authors

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Qian Chen, Ph.D. [email protected]
1Postdoctoral Researcher, Institute of Construction and Infrastructure Management, ETH Zurich, Zurich, Switzerland. ORCID: https://orcid.org/0000-0002-5899-9342. Email: [email protected]
Borja Garcia de Soto, Ph.D., M.ASCE [email protected]
2Assistant Professor, S.M.A.R.T. Construction Research Group, Division of Engineering, New York Univ. Abu Dhabi (NYUAD), Abu Dhabi, United Arab Emirates. ORCID: https://orcid.org/0000-0002-9613-8105. Email: [email protected]
Bryan T. Adey, Ph.D., M.ASCE [email protected]
3Professor, Institute of Construction and Infrastructure Management, ETH Zurich, Zurich, Switzerland. ORCID: https://orcid.org/0000-0002-4932-5901. Email: [email protected]

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