Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
March 8, 2026Open Access

Time-Series Forecasting Model Evaluation for Yield Improvement in Senegalese Manufacturing Plants Systems

View Full Paper
Ask AI
Bookmark
Share

Authors

TDToure DiopMBMamadou Sarifou BaSSSarra Sow

Discussion

Loading...

Member takes

Overview

Empirical evaluation shows improved yield forecasting in Senegalese manufacturing systems, suggesting enhanced operational efficiency.

Key Points

  • The research evaluates methods for improving yield forecasting in Senegal's manufacturing plants.
  • Conducted a comprehensive evaluation of manufacturing systems
  • Employed ARIMA models for predictive analysis
  • Identified patterns and trends in yield data over multiple periods
  • Compared ARIMA models to traditional methods
  • Emphasized the need for continuous monitoring and adaptation
  • Achieved a 20% improvement in forecasting accuracy with ARIMA models
  • Significant enhancement in understanding seasonal fluctuations in output yields
  • Validated the effectiveness of ARIMA for yield stability in manufacturing systems
  • Provided a framework for future research and policy development

Cite This Study

Diop et al. (2010) studied this question.

synapsesocial.com/papers/69ada8b2bc08abd80d5bbef0https://doi.org/10.5281/zenodo.18905454
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Methodological Evaluation of Process-Control Systems for Yield Improvement in Senegal Using Time-Series Forecasting Models2008
  2. 2Time-Series Forecasting Model for Yield Improvement in Senegalese Manufacturing Plants Systems: A Methodological Evaluation2004
  3. 3Methodological Evaluation of Manufacturing Systems in Senegal Using Time-Series Forecasting Models for Risk Reduction Analysis2008
  4. 4Time-Series Forecasting Model for Evaluating System Reliability in Senegalese Manufacturing Plants: An Engineering Approach2005
  5. 5Time-Series Forecasting Model Evaluation within Senegal's Regional Monitoring Networks System for Yield Improvement Measurement2002