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Compressing Effort a nd Schedule i n ERP Implementations w ith Iterative Methodologies : Few Industrial Cases
Author(s) -
D. Kaushik,
Akashdeep Bhardwaj
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.e2244.039520
Subject(s) - enterprise resource planning , implementation , agile software development , schedule , computer science , process management , productivity , resource (disambiguation) , operations management , engineering management , business , software engineering , knowledge management , engineering , operating system , economics , macroeconomics , computer network
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.

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