A mathematical job allocation model to maximize career development opportunities for construction workers

Shahbazi, B; Akbarnezhad, A; Rey, D; Ahmadian Fard Fini, A

A mathematical job allocation model to maximize career development opportunities for construction workers

Shahbazi, B Akbarnezhad, A Rey, D Ahmadian Fard Fini, A

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Publication Type:: Conference Proceeding
Citation:: ISARC 2018 - 35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things, 2018
Issue Date:: 2018-01-01

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Field	Value	Language
dc.contributor.author	Shahbazi, B	en_US
dc.contributor.author	Akbarnezhad, A	en_US
dc.contributor.author	Rey, D	en_US
dc.contributor.author	Ahmadian Fard Fini, A https://orcid.org/0000-0001-7681-1270	en_US
dc.date.issued	2018-01-01	en_US
dc.identifier.citation	ISARC 2018 - 35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things, 2018	en_US
dc.identifier.uri	http://hdl.handle.net/10453/133020
dc.description.abstract	© ISARC 2018 - 35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things. All rights reserved. The job allocation models used in construction projects have been designed mainly to meet the objectives of the employers such as maximizing productivity and tended to pay inadequate attention to meet the needs and objectives of construction workers. Meeting the objectives of workers, however, is a basic component of corporate social responsibility and vital to improve job satisfaction among construction workers. Among various items on wish-list of workers, availability of career development opportunities in projects stands out as a key factor affected considerably by job allocation decisions. This paper presents an innovative mathematical model for optimization of task allocation in construction projects to maximize the availability of career development opportunities to individual construction workers, paving the way for their career development. A Euclidean distance function in n-space is specified as objective function of career development which measures and compares the distance between ideal skill levels of employees to initial skill levels and developed ones after job allocation. The proposed model is applied to an illustrative case project involving the allocation of tasks to workers with different skill levels in a construction contractor company. Results show a successful task allocation which has contributed to workers’ occupational development and made them closer to their ideal skill level.	en_US
dc.relation.ispartof	ISARC 2018 - 35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things	en_US
dc.title	A mathematical job allocation model to maximize career development opportunities for construction workers	en_US
dc.type	Conference Proceeding
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building/School of Built Environment
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

© ISARC 2018 - 35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things. All rights reserved. The job allocation models used in construction projects have been designed mainly to meet the objectives of the employers such as maximizing productivity and tended to pay inadequate attention to meet the needs and objectives of construction workers. Meeting the objectives of workers, however, is a basic component of corporate social responsibility and vital to improve job satisfaction among construction workers. Among various items on wish-list of workers, availability of career development opportunities in projects stands out as a key factor affected considerably by job allocation decisions. This paper presents an innovative mathematical model for optimization of task allocation in construction projects to maximize the availability of career development opportunities to individual construction workers, paving the way for their career development. A Euclidean distance function in n-space is specified as objective function of career development which measures and compares the distance between ideal skill levels of employees to initial skill levels and developed ones after job allocation. The proposed model is applied to an illustrative case project involving the allocation of tasks to workers with different skill levels in a construction contractor company. Results show a successful task allocation which has contributed to workers’ occupational development and made them closer to their ideal skill level.

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http://hdl.handle.net/10453/133020