Prediction and Judgmental Adjustments of Supply-Chain Planning in Festive Season

Prediction and Judgmental Adjustments of Supply-Chain Planning in Festive Season

Megha Chhabra

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Deepti Sahu

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Gunjan Agarwal

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α Sharda University

Prediction and Judgmental Adjustments of Supply-Chain Planning in Festive Season

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Abstract

For a robust performance, Shipping costs planning in festive seasons is given the input data as free from trends, season-of-year effects etc. Seasonal forecasting for supply-chain planning with past few years of similar data impact shipping costs. Additionally, during a festive season of the year, unbiased and accurate prediction of shipment load plays a major role in bringing up sales. Time-series forecasting methods can be useful to remove traditional fluctuations due to gap in months-of-year of festivals. We describe exponential smoothing techniques and trend fitting methods and compare the predictive accuracy. The accuracy is compared using root-mean square error and median absolute deviation. The exponential smoothing shows changing behavior with increased data size and data item values. The data is compared with and without tuning the seasonal effects due to festive season.

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Reference Format

Brian Mathews,A Diamantopoulos (1986). Managerial intervention in forecasting. An empirical investigation of forecast manipulation.
Brian Mathews,Adamantios Diamantopoulos (1987). Alternative Indicators of Forecast Revision and Improvement.
Brian Mathews,A Diamantopoulos (1989). Judgemental revision of sales forecasts: A longitudinal eetension.
A Diamantopoulos,B Mathews (1989). McLuhan Watch 14–15 periodicals: À la page 59; L’Actualité macluhanisme 3, 5, 8, 22, 40ff, 104; 6; Arguments 24; Artforum 2; Art & as cyclone 34, 36–7; and écriture Text 3; L’Aurore 5; Beyond 14; Blast 37; as philosophical bomb 105; 56; C Theory 11; CJPST 11, 17, 69; poltergeists of 106 Carrefour 5, 105, 120; Critique 4, M(a)cLuhanites 7, 85, 106 18; Le Devoir 5, 119; Dew-Line Mcreader 61 Newsletter 1, 15, 50, 72; Combat 24, Mcwork 12 120; Economist 3; Elle 24; Esprit masses 3; mass form 94–5; see also 24; Explorations 1, 13, 16, 107, 110; implosion L’Express 5; Le Figaro 4, 24, 50; media: environments 1, 8, 12, 14, 38, 27, Figaro Littéraire 120; Flash Art 2; 29; structure of 19, 38; Forces 6, 99, 100; Fortune 24; technologies 29, 67 Impulse 3; Life 24; Les lettres misnomers: existentialist 25; nouvelles 75; Le Monde 5, 16, 74, phenomenologist 21–2; 25–6; 121; Nouvel Observateur 57, 119; structuralist 25–6 On the Beach 3; Parachute 3; Paris MM 59 Match 24; Partis Pris 5; Playboy M.McL. 62 99, 102; La Presse 5, 100, 119; La Moog synthesizer 10; ambient Quinzaine littéraire 4, 18; Reader’s soundscapes 11–12 Digest 24; Science et Vie 5; Sept-mosaic method 5, 25; and sociology 18 Jours 5; Tel Quel 38; Time 24, 27, multiplexage analogique de 28; TLS 34; Toronto Star 20; composantes (MAC) 48 Toronto Telegram 47; Traverses 82; mythologies 21, 24–5, 30–2; political Utopie 83; Varsity Graduate 16; mythology 29; and sociology 30 Wired 1, 13, 105 Phase Alternative Line (PAL) 48 Narcissus 68 postmodernism 4, 8, 11, 23, 64–67, 111; anti- 38; and late capitalism 10, 111–12; neo-baroque 25; objet petit a 7, 52, 54, 59, 60, 63; little a potlatch 4; triphasic models 99, 54; objet petit tas 52; sublime object 112–13, 116 59 potentialization 8 Office de radiodiffusion-télévision primitivism 106ff; postmodern 70; see française (ORTF) 44, 46, 56, 57 also tribalism Ontario Science Centre (OSC) 10 probe 12, 80 orality 39–41, 43, 49, 50, 63, 100, psychoanalysis 19, 53, 56, 63, 110; 107; as web 39 rationalisation 38 panic 64–6 Québec 1, 99; Concordia University 9; participation 13, 71, 83, 86, 88, 92; French Canadian culture 91–2, 99; referendum mode 89; simulation of Hydro-Québec 6, 100; Montréal 4– 87 5, 104; nationalism 91, 100, 102; pataphysics 55 October Crisis 104; racist.
D Turner (1990). The role of judgement in macroeconomic forecasting.
M Donihue (1993). Evaluating the role judgment plays in forecast accuracy.
Nigel Harvey (1995). Why Are Judgments Less Consistent in Less Predictable Task Situations?.
Joa Lim,Marcus O'connor (1995). Judgemental adjustment of initial forecasts: Its effectiveness and biases.
Joa Lim,Marcus O'connor (1996). Judgmental forecasting with time series and causal information.
Robert Goodrich (2000). The Forecast Pro methodology.
Donald Macgregor (2001). Decomposition for Judgmental Forecasting and Estimation.
Peter Fader,Bruce Hardie (2001). Forecasting Trial Sales of New Consumer Packaged Goods.
(2001). Principles of Forecasting.
Robert Fildes,V Kumar (2002). Telecommunications demand forecasting—a review.
Mark Moon,John Mentzer,Carlo Smith (2003). Conducting a sales forecasting audit.
C Charles,Holt (2004). Author's retrospective on 'Forecasting seasonals and trends by exponentially weighted moving averages.
Ahc Eaves,B Kingsman (2004). Forecasting for the ordering and stock-holding of spare parts.
Ilan Yaniv (2004). Receiving other people’s advice: Influence and benefit.
S Divakar,B Ratchford,V Shankar (2005). CHAN4CAST: A multichannel, multiregion sales forecasting model and decision support system for consumer p.
E Gardner (2006). Exponential smoothing: The state of the art -Part II.
Michael Lawrence,Paul Goodwin,Marcus O'connor,Dilek Önkal (2006). Judgmental forecasting: A review of progress over the last 25years.
Robert Fildes,Paul Goodwin (2007). Against Your Better Judgment? How Organizations Can Improve Their Use of Management Judgment in Forecasting.
P Goodwin,W Lee,R Fildes,K Nikolopoulos,M Lawrence (2007). Understanding the use of forecasting systems: An interpretive study in a supply-chain company.
Robert Fildes,Paul Goodwin,Michael Lawrence,Konstantinos Nikolopoulos (2008). Effective forecasting and judgmental adjustments: an empirical evaluation and strategies for improvement in supply-chain planning.
R Fildes,P Goodwin,M Lawrence,K Nikolopoulos (2009). Effective forecasting and judgmental adjustments: An empirical evaluation and strategies for improvement in supply-chain planning.
S Sharma,M Bhatia (2012). Short-Term transaction forecasting using time series analysis: A case study for India.

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No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

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How to Cite This Article

Megha Chhabra. 2018. \u201cPrediction and Judgmental Adjustments of Supply-Chain Planning in Festive Season\u201d. Global Journal of Computer Science and Technology - G: Interdisciplinary GJCST-G Volume 17 (GJCST Volume 17 Issue G3): .

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GJCST Volume 17 Issue G3
Pg. 23- 31

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST-G Classification: D.4.8

Submission ReceivedDecember 14, 2016
Peer Review Double Blind
Handling Editor
Accepted January 1, 2017
Published January 15, 2017

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January 22, 2018

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Article Matrices

Total Score: 103

Country: India

Subject: Global Journal of Computer Science and Technology - G: Interdisciplinary

Authors: Megha Chhabra, Deepti Sahu, Gunjan Agarwal (PhD/Dr. count: 0)

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