Compressing Effort and Schedule in ERP Implementations with Iterative Methodologies : Few Industrial Cases
Sunil Kaushik1, Akashdeep Bhardwaj2
1Dr Sunil Kaushik*, Head, ERP , Analytics and Billing, Department of Information Technology, India and APAC American Towers Corporation, Gurugram India
2Dr. Akashdeep Bhardwaj, Professor, Department of School of Comp Science, University of Petroleum and Energy Studies, Dehradun, India
Manuscript received on February 10, 2020. | Revised Manuscript received on February 23, 2020. | Manuscript published on March 10, 2020. | PP: 1061-1067 | Volume-9 Issue-5, March 2020. | Retrieval Number: E2244039520/2020©BEIESP | DOI: 10.35940/ijitee.E2244.039520
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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: Tough competition in the Enterprise Resource Planning or the ERP marketplace has led to the need for optimizing resources to improve productivity, cost effectiveness and smooth operations to provide immediate support and response. This ensures the customers are kept satisfied. Selecting an ERP solution that can satisfy specific business requirements enable smooth implementation. However, ERP failures indicate that 1/3 of the companies fail to realize even half the benefits of an ERP, while 3/4 implementations over run the allocated budget and 1/2 end up exceeding the planned and scheduled duration. This research focuses on Agile Methodologies and Lean Thinking. The authors implemented effort and schedule comparison their research that prove and outshines the traditional ERP implementation methodologies.
Keywords: About Agile Methodologies, Effort Compression, Lean Thinking , Schedule Compression.
Scope of the Article: Industrial Internet of Things (IIoT)