Rationalized Scrumban Based Methodology for Improving the Slackening Pension Scheme of Employee Sectors in India
Athulya Mohan1, Devisree A S2, C V Prasanna Kumar3
1Athulya Mohan, Department of Computer Science and IT, Amrita Vishwa Vidyapeetham/ Amrita School of Arts and Sciences Kochi, Ernakulam, India.
2Devisree A S, Department of Computer Science and IT, Amrita Vishwa Vidyapeetham/ Amrita School of Arts and Sciences Kochi, Ernakulam, India.
3C V Prasanna Kumar, Department of Computer Science and IT, Amrita Vishwa Vidyapeetham/Amrita School of Arts and Sciences Kochi, Ernakulam, India.

Manuscript received on 01 April 2019 | Revised Manuscript received on 04 May 2019 | Manuscript published on 30 May 2019 | PP: 1525-1530 | Volume-8 Issue-1, May 2019 | Retrieval Number: A9236058119/19©BEIESP
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Abstract: In India, subsistence of the bulk number of government servants depend upon the pension paid to them on the basis of policies and procedures laid down by the egalitarian government. Procedure for determination and authorization of the amounts of pension and gratuity is a tedious task which is governed by the Accounts Department. Procedures and policies for sanctioning pension process, keeping track of the advancements of the case as well as the paperworks involved in this task are prodigious for both the pensioner and the departments. This prodigious task can result in unpredictable delays in initiation of pension. The intention of this research is to conduct a case study on the pension procedures for a small employee sector and propose a methodology which collaborates agile methodology known as Scrumban to facilitate and guide the accreditation of pension process. The approach can be used to increase the pace of completion of pension accreditation process. This can in turn help the vast majority of pensioners to lead a marvelous life after retirement.
Index Terms: A&G (Accounts General), Agile, CDM (Centralized Department Monitor), Scrumban.

Scope of the Article: Health Monitoring and Life Prediction of Structures