Application of Lean Techniques, Enterprise Resource Planning and Artificial Intelligence in Construction Project Management
Velagapalli Vickranth1, Sesha Sai Ratnamala Bommareddy2, V. Premalatha3
1Velagapalli Vickranth, Department of Civil Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur (A.P), India.
2Sesha Sai Ratnamala Bommareddy, Department of Civil Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur (A.P), India.
3V. Premalatha, Department of Computer Science & Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur (A.P), India.
Manuscript received on 29 April 2019 | Revised Manuscript received on 13 May 2019 | Manuscript Published on 28 May 2019 | PP: 147-153 | Volume-7 Issue-6C2 April 2019 | Retrieval Number: F10270476C219/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A construction project is a temporary production system which is designed and delivered within a specified time and budget. The traditional system has approximately 50% of non-value-added efforts and waste. As the traditional ways cannot handle complex and uncertain activities, there is a need for innovative and advanced systems that will help the project teams’ deal with the issues in projects. Lean techniques, Enterprise Resource Planning and Artificial Intelligence are such innovative techniques which have a good impact in the construction industry. As each system has the impact only in the implemented stage of construction, there is scope for loss of resources in the other construction phases. This paper proposes a contagious loop system comprising of Lean techniques, Enterprise Resource Planning and Artificial Intelligence as the robust approach for construction project management to improve the productivity, reduce the cost, time, resources and discuss the importance of implementing the contagious loop system. This paper uses exploratory method for evaluating the individual gains of Lean techniques, Enterprise Resource Planning and Artificial Intelligence by exploring and understanding the available literature, case studies and tries to propose an advanced implementation system to the construction industry for achieving minimization of resources, improving the productivity within the built environment.
Keywords: Artificial Intelligence (AI), Construction Project, Enterprise Resource Planning (ERP), Lean Techniques (LT).
Scope of the Article: Construction Engineering