5th European International Conference on Industrial Engineering and Operations Management

Optimization of the Cost and Duration in the Tower Crane Installation Using Goal Programming (GP) Model

Neil Awit & JOEL DE GOMA
Publisher: IEOM Society International
0 Paper Citations
Track: Operations Research

This study utilized the pre-emptive Goal Programming (GP) model in the optimization problem in the Tower Crane Installation process. Secondary data was collected from an anonymous tower crane installer covering operations in the Philippines. The preemptive GP model contains 4 variables and 12 constraints which and this study showed the preemptive GP results where only 3 out of 12 goals were achieved. The other 9 goals were not satisfied. Priority 1 and Priority 2 were not attained with positive deviations, suggesting that the total tower crane installation hours exceeded beyond 30 hours as well as incurring rental cost reserve of not more than P105,000. Priority 3, meanwhile, was attained with no positive deviation, suggesting that the mast can be installed in around 10 hours. Priority 4,5,6,7,8, and 9 were not attained with slight positive deviations observed, represented in hours, indicating that the goals established by the organization are not attainable. Priority 10 was attained with no deviations observed and Priority 12 was attained with negative deviation, suggesting that the organization can extend the total headcount and deploy additional headcount whenever necessary to ease the cost and duration of the tower crane installation. The results of the preemptive GP model were anchored in the formulation Risk Management Plan, reinforced by Cost-Benefit Analysis (CBA), helping the small to middle-market tower crane operators in the Philippines to mitigate the risk of installation delays and potential wastage in the cost and budget, as induced by this delay.

Cost-Benefit Analysis (CBA), Goal Programming (GP), Risk Management Plan, Tower Crane Installation,

Published in: 5th European International Conference on Industrial Engineering and Operations Management, Rome, Italy

Publisher: IEOM Society International
Date of Conference: July 26-28, 2022

ISBN: 978-1-7923-9161-3
ISSN/E-ISSN: 2169-8767