Time-cost optimization of high rise building by Genetic Algorithm: A Case Study

2018 ◽  
Vol 7 (2) ◽  
Author(s):  
lalitesh Sinha ◽  
Piyush Kumar Pahadey ◽  
Keerti Chowdhary
Keyword(s):  
Genetic Algorithm ◽  
Cost Optimization ◽  
Time Cost ◽  
High Rise ◽  
High Rise Building

A high rise building fire case study

1992 ◽  
Vol 11 (1) ◽  
pp. 19-23
Author(s):  
Belden Menkus
Keyword(s):  
Building Fire ◽  
High Rise ◽  
High Rise Building

scholarly journals Extremal-Micro Genetic Algorithm Model for Time-Cost Optimization with Optimal Labour Productivity

2021 ◽  
Vol 67 (12) ◽  
pp. 682-691
Author(s):  
Sivakumar A ◽  
Bagath Singh N ◽  
Sathiamurthi P ◽  
Karthi Vinith K.S.
Keyword(s):  
Genetic Algorithm ◽  
Labour Productivity ◽  
Cost Optimization ◽  
Model Performance ◽  
Time Cost ◽  
Production Time ◽  
Proposed Model ◽  
Bus Body ◽  
Micro Genetic Algorithm ◽  
Genetic Algorithm Model

In a highly competitive manufacturing environment, it is critical to balance production time and cost simultaneously. Numerous attempts have been made to provide various solutions to strike a balance between these factors. However, more effort is still required to address these challenges in terms of labour productivity. This study proposes an integrated substitution and management improvement technique for enhancing the effectiveness of labour resources and equipment. Furthermore, in the context of time-cost optimization with optimal labour productivity, an extremal-micro genetic algorithm (Ex-μGA) model has been proposed. A real-world case from the labour-intensive medium-scale bus body fabricating industry is used to validate the proposed model performance. According to the results, the proposed model can optimize production time and cost by 34 % and 19 %, respectively, while maintaining optimal labour productivity. In addition, this study provides an alternative method for dealing with production parameter imbalances and assisting production managers in developing labour schedules more effectively.

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