The Evaluation of Forecasting Methods for Sales of Sterilized Flavoured Milk in Chhattisgarh

Sahu, Pradeep Kumar; Kumar, Raj; Shivaji, Chhatrapati

doi:10.14445/22315381/ijett-v8p219

Cited by 4 publications

(1 citation statement)

References 24 publications

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“…[6] Maine-Chun-Yu discussed about astudy that compared artificial intelligence-based classification techniques against traditional classification techniques. [7] PradeeKumarSahu et al, discussed the importance of various forecastingmodels and their application for sales forecasting ofsterilized flavored milk in Chhattisgarh. [8] Rachel J. C. Chen described, are readily transferable torecreation use data sets with seasonal patterns.…”

Section: B Lean Scmmentioning

confidence: 99%

Improving supplychain performance in an online store using Lean tools

Sadesh¹,

Senthilkumar²

2021

Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, In

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In today's scenario severe Competitive pressure for Shorter lead time and lower cost in Supply chain Management, So Lean manufacturing have been incorporated into Supply chain approaches. This Paper deals with Reduction of Customer lead time and Transportation cost in an online store. The Customer lead time reduced from 2.5 days to 1.5 days and transportation cost reduced from 1216 to 1136 for 11 orders with 63.9 km through lean supply chain network with vehicle routing (Travelling sales man approach), Inventory classification and Forecasting techniques.

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Section: B Lean Scmmentioning

confidence: 99%

Improving supplychain performance in an online store using Lean tools

Sadesh¹,

Senthilkumar²

2021

Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, In

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show abstract

For Better or Worse? Revenue Forecasting with Machine Learning Approaches

Chung

Williams

Rok

2022

Public Performance & Management Review

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Local government revenue forecasting methods: competition and comparison

Williams

Kavanagh

2016

Journal of Public Budgeting, Accounting &Amp; Financial Management

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This study examines forecast accuracy associated with the forecast of 55 revenue data series of 18 local governments. The last 18 months (6 quarters; or 2 years) of the data are held-out for accuracy evaluation. Results show that forecast software, damped trend methods, and simple exponential smoothing methods perform best with monthly and quarterly data; and use of monthly or quarterly data is marginally better than annualized data. For monthly data, there is no advantage to converting dollar values to real dollars before forecasting and reconverting using a forecasted index. With annual data, naïve methods can outperform exponential smoothing methods for some types of data; and real dollar conversion generally outperforms nominal dollars. The study suggests benchmark forecast errors and recommends a process for selecting a forecast method.

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The Evaluation of Forecasting Methods for Sales of Sterilized Flavoured Milk in Chhattisgarh

Cited by 4 publications

References 24 publications

Improving supplychain performance in an online store using Lean tools

Improving supplychain performance in an online store using Lean tools

For Better or Worse? Revenue Forecasting with Machine Learning Approaches

Local government revenue forecasting methods: competition and comparison

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