Automated System for forecasting and capacity management in BPO

Authors

DOI:

https://doi.org/10.4108/ew.4460

Keywords:

Data models, capacity modelling, extrapolation, knowledge models, prediction intervals, predictive validity, regression analysis, time series data

Abstract

In the virtual world, every decision made by executives today need forecasting. Sound forecasting of demand and variations are no longer an extravagance but a necessity, since Operations in the organizations have to deal with the seasonality, sudden changes in capacity management, cost-cutting strategies of the competition, and enormous dynamics of the economy.

This paper details the development of a Forecasting and Capacity Planning model to empower operations to consistently forecast incoming volume for scheduling/rostering. A combination of past process-specific data, algorithmic forecasting, Subject Matter Expert (SME) inputs, and modelling results in a forecast with a daily accuracy of up to 85% per month out and approximately 95%-98% per week. The tool leverages the generated forecast to envisage capacity and resource planning. This Capacity Planning tool gives the capacity requirement for the forecasted volume, scheduling, and staffing. The tool has been deployed across 150+ client area. POC (Proof of Concepts) was done across all domains to test the tool and as expected the tools is generating the forecast and schedule with the accuracy of 96.77%.

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References

H. B. Review, "how-to-choose-the-right-forecasting-technique," July 1971. [Online]. Available: https://hbr.org/1971/07/how-to-choose-the-right-forecasting-technique.

E. J. K. S. L. B. C. Jessica Lin, "A Symbolic Representation of Time Series, with Implications for Streaming Algorithms," 10.1145/882082.882086, 2003.

V. Kumar, "Predictive Analytics: A Review of Trends and Techniques," International Journal of Computer Applications 182(1):31-37, 2018. DOI: https://doi.org/10.5120/ijca2018917434

N. A. T. A. C. Patrick Courtney, "Algorithmic modelling for performance evaluation," 1997. Paper-1312018.pdf

S. Ansari, "Pattern Recognition | Introduction," 23 august 2022. [Online]. Available: https://www.geeksforgeeks.org/pattern-recognition-introduction/.

E. Webster, "Scenario Modeling: 4 Best Practices for Preparing for the Future—Whatever it Might Be," 9 April 2020. [Online]. Available: https://www.venasolutions.com/blog/integrated-business-planning/scenario-modeling-future.

J. Briggs, "Management Reports & Dashboard Best Practice Chapters," [Online]. Available: https://www.targetdashboard.com/site/Dashboard-Best-Practice/Management-Report-and-Dashboard-best-practice-index.aspx.

X.Huang, "https://www.researchgate.net/publication/38004626_Capacity_planning_in_a_general_supply_chain_with_multiple_contract_types," Capacity planning in a general supply chain with multiple contract types, 2008.

D. B. H. Urmila Shrikant Pawar, "https://www.researchgate.net/publication/268817556_LITERATURE_REVIEW_ON_PERSONNEL_SCHEDULING," LITERATURE REVIEW ON PERSONNEL SCHEDULING, 2013.

P. M. A. d. S. L. d. C. Professor Jos´e Fernando da Costa Oliveira, "https://core.ac.uk/download/pdf/302955726.pdf," 2013. [Online]. Available: https://core.ac.uk/download/pdf/302955726.pdf.

A.M.D.D.S.A.W.ElaineFarndale, "https://onlinelibrary.wiley.com/doi/10.1111/1748-8583.12275," Human Resource Management Journal: A look to the past, present, and future of the journal and HRM scholarship, 2019.

A. Malik, "Managing Human Resources During Major Crises, Strategic Human Resource Management and Employment Relations," 10.1007/978-3-030-90955-0_15, 2022. DOI: https://doi.org/10.1007/978-3-030-90955-0_15

Simplilearn, "Simplilearn.com/Capacity-Planning-Article," 2022. [Online]. Available: Simplilearn.com/Capacity-Planning.

L.F.S.AndréaN.Carvalho, "https://www.researchgate.net/publication/320022564_An_optimisation_approach_for_capacity_planning_Modelling_insights_and_empirical_findings_from_a_tactical_perspective," An optimisation approach for capacity planning: Modelling insights and empirical findings from a tactical perspective, 2017. DOI: https://doi.org/10.1590/0103-6513.001417

N. R. Vikram Arjun Wadkar, "Capturing Tool Availability in the Capacity Model based on Actual Utilization," in Conference: 2019 30th Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC), 2019. DOI: https://doi.org/10.1109/ASMC.2019.8791774

Upwork, "capacity-planning-tools," [Online]. Available: https://www.upwork.com/resources/capacity-planning-tools.

"what-is-an-erlang," [Online]. Available: https://www.erlang.com/what-is-an-erlang/.

datascience-pm.com, 2022. [Online]. Available: https://www.datascience-pm.com/crisp-dm-2/.

L. D. G. I. W. Zahraa Said Abdallah, "Data Preparation," 10.1007/978-1-4899-7687-1_62, 2017. L. D. G. I. W. Zahraa Said Abdallah, "Data Preparation," 10.1007/978-1-4899-7687-1_62, 2017.

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Published

23-11-2023

How to Cite

1.
Anand A, Simha J, Abhi S. Automated System for forecasting and capacity management in BPO. EAI Endorsed Trans Energy Web [Internet]. 2023 Nov. 23 [cited 2024 Jun. 18];10. Available from: https://publications.eai.eu/index.php/ew/article/view/4460