An analysis of Demand Forecasting in Supply Chain Management

ABSTRACT The paper shows forecasting practice in supply chain management (SCM) at different locations, viz. Life science, Retail Chain, and FMCG. Authors illustrates the scenario of forecasting practices based on secondary data and presents SCM role, demand management, coordination in coordination, etc. Moreover, the paper exhibits the limitation and less practical solution of forecasting to be effective in business organization. Consequently, the authors describe recommendation and proposes a model on forecasting management model. Though this paper highlights in intensive analysis, however, it unlocks further frontiers for the prospective researchers as well as practitioners in order to apply forecasting techniques. Keywords— Forecasting, Supply Chain Management, Life Science

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Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-04-25
DOI
https://doi.org/10.55041/ijsrem45988
Primary Topic
Big Data and Business Intelligence
Type
article
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article

An analysis of Demand Forecasting in Supply Chain Management

PEDDIREDDY DHARANI
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Big Data and Business Intelligence
article

An analysis of Demand Forecasting in Supply Chain Management

PEDDIREDDY DHARANI
article en

Abstract

ABSTRACT The paper shows forecasting practice in supply chain management (SCM) at different locations, viz. Life science, Retail Chain, and FMCG. Authors illustrates the scenario of forecasting practices based on secondary data and presents SCM role, demand management, coordination in coordination, etc. Moreover, the paper exhibits the limitation and less practical solution of forecasting to be effective in business organization. Consequently, the authors describe recommendation and proposes a model on forecasting management model. Though this paper highlights in intensive analysis, however, it unlocks further frontiers for the prospective researchers as well as practitioners in order to apply forecasting techniques. Keywords— Forecasting, Supply Chain Management, Life Science

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(04)
Openalex Percentile: Top 86%
Big Data and Business Intelligence
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