Multi-Project Multi-Resource Leveling Using Mixed Integer Programming

Date

2018-11-16

Author

Altun, Murat
Sönmez, Rifat
Akçamete Güngör, Aslı

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In construction projects, resource leveling aims to provide efficient resource planning during project implementation by reducing possible fluctuations in resource usage. Decision makers mostly focus on the single project to optimize its resource usage by applying various objective functions of resource leveling problem. However, in real life, multiple projects may be performed in the same time period. Hence, leveling the resources of each project separately generates sub-optimal solutions since interactions between projects due to common resource usages are ignored. Therefore, the projects with shared resources should be leveled together to reach the global optimum solution. In this study, an optimization model is developed using Mixed Integer Programming (MIP) to minimize peak usage of multiple types of trades in multiple construction projects. Performance of the model is tested with two 300-activity construction projects and three different resource trades. The results show that MIP model offers the optimal solution to the tested multi-project multi-resource leveling problem.

Subject Keywords

Multiple project, Resource leveling, Shared resource optimization, Scheduling, Mixed integer programming

URI

http://pcmc2018.ciu.edu.tr/index.php/ipcmc-2018-proceedings/
https://hdl.handle.net/11511/72458

Conference Name

5th International Project and Construction Management Conference IPCMC2018 (16 - 18 Kasım 2018)

Collections

Department of Civil Engineering, Conference / Seminar

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Citation Formats

M. Altun, R. Sönmez, and A. Akçamete Güngör, “Multi-Project Multi-Resource Leveling Using Mixed Integer Programming,” Lefkoşa, Kıbrıs, 2018, p. 1300, Accessed: 00, 2021. [Online]. Available: http://pcmc2018.ciu.edu.tr/index.php/ipcmc-2018-proceedings/.