Open Access Open Access  Restricted Access Subscription Access

Infraconnect: A Smart Digital Platform for Workforce Allocation and Real Time Job Matching Across Industries

Ranveersinh Rajput, Shravan Jadhav, Kavita Chavan, Vasudha Chavan, Yogesh Aughade, Prof. H.M. Khumbhar

Abstract


Manpower management, workforce coordination, and labour availability are the main issues facing the construction sector. Conventional hiring practices are ineffective, time-consuming, and informal. This project presents "InfraConnect," a digital workforce management tool intended to facilitate organized and structured communication between companies and construction workers. Using contemporary online technologies, the system facilitates job posting, job searching, application administration, and real-time worker tracking. The platform, which was created with React and Firebase, attempts to increase site coordination, decrease project delays, and optimize labour allocation. The suggested solution shows how digital technology and civil engineering expertise can be combined to improve workforce management in the construction industry. Due to its labour intensive nature, the construction sector depends heavily on effective manpower coordination. Communication and talent matching between contractors and employees are made more difficult by the lack of a centralized workforce management system. A technology-driven approach called Infra Connect is put forth with the goal of digitizing and structuring construction labour management. Digital application workflows, categorized skill identification, structured job advertising, and dynamic status monitoring are all made possible by the platform. The platform guarantees transparency, scalability, and safe data handling by utilizing role-based authentication mechanisms and cloud-based real-time database services. A methodical approach to workforce planning and distribution is offered by the combination of web-based architecture and civil engineering project management concepts. The report emphasizes how digital workforce platforms may improve construction productivity, lessen reliance on middlemen, and create an ecosystem for employment that is data-driven. The suggested system is a step in the direction of updating labour management procedures in the building industry.


Full Text:

PDF

References


Hegazy, “Optimization of resource allocation and leveling using genetic algorithms,” Journal of Construction Engineering and Management, vol. 125, no. 3, pp. 167–175, 1999, doi: 10.1061/(ASCE)0733-9364(1999)125:3(167).

H. Li and P. E. D. Love, “Using improved genetic algorithms to facilitate time–cost optimization,” Journal of Construction Engineering and Management, vol. 123, no. 3, pp. 233– 237, 1997, doi: 10.1061/(ASCE)0733-9364(1997)123:3(233).

K. El-Rayes and A. Moselhi, “Resource-driven scheduling of repetitive activities,” Journal of Construction Engineering and Management, vol. 127, no. 1, pp. 68–76, 2001, doi: 10.1061/(ASCE)0733-9364(2001)127:1(68).

S. D. Kim and S. T. Kim, “Hybrid genetic algorithm for construction resource leveling,” Journal of Construction Engineering and Management, vol. 138, no. 5, pp. 666–674, 2012, doi: 10.1061/(ASCE)CO.1943-7862.0000456.

M. A. Al-Bahar and K. C. Crandall, “Systematic risk management approach for construction projects,” Journal of Construction Engineering and Management, vol. 116, no. 3,

pp. 533–546, 1990, doi: 10.1061/(ASCE)0733-9364(1990)116:3(533).

J. Teizer, “Real-time worker location tracking for safety and productivity in construction,” Automation in Construction, vol. 20, no. 4, pp. 435–444, 2011, doi: 10.1016/j.autcon.2010.11.015.

F. Bosché, C. T. Haas and B. Akinci, “Automated recognition of 3D CAD model objects in laser scans and calculation of as-built dimensions,” Automation in Construction, vol. 20, no. 2, pp. 107–118, 2011, doi: 10.1016/j.autcon.2010.09.010.

M. Turkan, F. Bosché, C. T. Haas and R. Haas, “Automated progress tracking using 4D schedule and 3D sensing technologies,” Automation in Construction, vol. 22, pp. 414–421, 2012, doi: 10.1016/j.autcon.2011.09.003.

S. Golparvar-Fard, F. Peña-Mora and S. Savarese, “Automated progress monitoring using unordered daily construction photographs and IFC-based building information models,” Journal of Construction Engineering and Management, vol. 135, no. 10, pp. 1030–1039, 2009, doi: 10.1061/(ASCE)CO.1943-7862.0000079.

Y. Jung and M. Joo, “Building information modeling (BIM) framework for practical implementation,” Automation in Construction, vol. 20, no. 2, pp. 126–133, 2011, doi: 10.1016/j.autcon.2010.09.010.


Refbacks

  • There are currently no refbacks.