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Critical Study, Analysis and Suggestion for Labor Productivity Improvement in Construction Industry

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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 10 Issue: 07 | July 2023

www.irjet.net

p-ISSN: 2395-0072

Critical Study, Analysis and Suggestion for Labor Productivity Improvement in Construction Industry Keval Bhosale1, Digvijay Jadhav Patil2, Sagar Savat3, Sourabh Mohite4, Aniruddh Magdum5, S. S. Jamadagni6 12345UG Students Department of Civil Engineering, D. Y. Patil Technical Campus Talsande, Kolhapur 6Assistant Professor of Department of Civil Engineering, D. Y. Patil Technical Campus Talsande, Kolhapur ---------------------------------------------------------------------***--------------------------------------------------------------------ABSTRACT

The construction business relies heavily on productivity. It aids the construction sector's achievement of objectives, competitiveness, and stakeholder satisfaction as well as value claims. Different approaches for gauging labour productivity at various levels have been proposed in prior research investigations, but none of them have been demonstrated to be universally gratifying. The entire productivity of a construction project is affected by labour productivity, thus measuring it both qualitatively and statistically is crucial. As construction projects, which involve many complex elements like time and cost. This study uses a preliminary questionnaire to conduct a critical examination of the factors impacting labour productivity. Through the Relative Important Index, a survey and impact analysis of each factor affecting the project were produced. Moreover, one industrial building is selected for a case study and Using MSP Software, all of the building's data was analysed. After analysing 15 different elements, suggestions and guidelines were offered to boost labour productivity. This study aids project managers in taking into account labor-affecting aspects both throughout the project's planning and execution phases in order to gauge productivity. Key Words: Labor Productivity, Construction Industry, Relative Important Index.

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CHAPTER 1 INTRODUCTION

1.1 Preamble: The largest industry in the world is construction. Construction is the sector that employs the most people, behind agriculture. The 3M Resources business primarily serves the construction sector. Resources used by 3M include people, equipment, and materials. These are the necessities for the sector. Manpower is the most valuable and significant resource in the construction sector. Construction labour productivity is what we would term productivity in the construction industry if we just took into account human capital. Because labour costs account for between 30 and 50 percent of a project's overall cost, this is the most popular research topic. An important criterion used to assess the trends and degree of progress in the construction industry is labour productivity. The fundamental issue in this sector is the availability of unskilled labour. They force us to deal with productivity loss, which has a direct impact on the project's cost and time overrun as well as the work's quality. An efficient framework must be established because construction projects are plagued by several issues and complicated elements like cost and timeline. This will increase the project's overall productivity. Labourers should be knowledgeable about the equipment, materials, and tools they utilise in order to increase production. Existing research studies have recommended many approaches for gauging labour productivity at various levels, but none of them have been consistently successful.The quality and quantity of labour productivity measurements are crucial because they have an impact on the overall productivity of building projects. This study uses a preliminary questionnaire survey to conduct a critical examination of the elements that affect labour productivity. The impact of each component on the project was calculated using the Relative Important Index. The Relative Important Index was used to quantify labour productivity on construction sites across fifteen different variables.

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