izpis_h1_title_alt

Extremal-micro genetic algorithm model for time-cost optimization with optimal labour productivity
ID Sivakumar, A. (Author), ID Bagath Singh, N. (Author), ID Sathiamurthi, P (Author), ID Karthi Vinith, K. S. (Author)

.pdfPDF - Presentation file, Download (720,87 KB)
MD5: B1B734643A158C554FF3AD2C60E7A1EB
URLURL - Source URL, Visit https://www.sv-jme.eu/sl/article/extremal-micro-genetic-algorithm-model-for-time-cost-optimization-with-optimal-labour-productivity/ This link opens in a new window

Abstract
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.

Language:English
Keywords:labour productivity, equipment effectiveness, time-cost optimization, extremal optimization, micro genetic algorithm
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Publication status:Published
Publication version:Version of Record
Year:2021
Number of pages:Str. 682-691
Numbering:Vol. 67, no. 12
PID:20.500.12556/RUL-134601 This link opens in a new window
UDC:658.5
ISSN on article:0039-2480
DOI:10.5545/sv-jme.2021.7406 This link opens in a new window
COBISS.SI-ID:94202371 This link opens in a new window
Publication date in RUL:20.01.2022
Views:626
Downloads:105
Metadata:XML RDF-CHPDL DC-XML DC-RDF
:
Copy citation
Share:Bookmark and Share

Record is a part of a journal

Title:Strojniški vestnik
Shortened title:Stroj. vestn.
Publisher:Zveza strojnih inženirjev in tehnikov Slovenije [etc.], = Association of Mechanical Engineers and Technicians of Slovenia [etc.
ISSN:0039-2480
COBISS.SI-ID:762116 This link opens in a new window

Secondary language

Language:Slovenian
Title:Časovno-stroškovna optimizacija produktivnosti dela z modelom na osnovi ekstremalnega – mikrogenetskega algoritma
Keywords:nadgradnje antobusov, produktivnost dela, učinkovitost opreme, optimizacija časa, optimizacija stroškov, ekstremalna optimizacija, mikrogenetski algoritem

Similar documents

Similar works from RUL:
Similar works from other Slovenian collections:

Back