SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
From Data to Decisions: Optimizing Supply Chain Management with Machine Learning-Infused Dashboards
13 references·0 citing·48 second hop
From Data to Decisions: Optimizing Supply Chain Management with Machine Learning-Infused Dashboards (2024)From Data to Decisions: Optimizing Supply…Predictive Analytics for Demand Forecasting – A Comparison of SARIMA and LSTM in Retail SCM (2022)Predictive Analytics for Dema…Modelling Supply Chain Dynamics (2021)Modelling Supply Chain Dynami…Dynamic pricing under competition using reinforcement learning (2021)Dynamic pricing under competi…Dynamic Churn Prediction using Machine Learning Algorithms - Predict your customer through customer behaviour (2021)Dynamic Churn Prediction usin…Dimensions of Data Analytics in Supply Chain Management: Objectives, Indicators and Data Questions (2021)Dimensions of Data Analytics …Customer behaviour analysis based on buying-data sparsity for multi-category products in pork industry: A hybrid approach (2021)Customer behaviour analysis b…Artificial intelligence applications in supply chain: A descriptive bibliometric analysis and future research directions (2021)Artificial intelligence appli…Applications of Big Data Analytics in Supply Chain Management: Findings from Expert Interviews (2021)Applications of Big Data Anal…Big Data Analytics and Its Applications in Supply Chain Management (2020)Big Data Analytics and Its Ap…A decision support system for strategic supply chain capacity planning under uncertainty: conceptual framework and experiment (2020)A decision support system for…RFM ranking – An effective approach to customer segmentation (2018)RFM ranking – An effective ap…Supply-Chain Management: Logistics Catches up with Strategy (2012)Supply-Chain Management: Logi…Case Study Research: Design and Methods (1991)Case Study Research: Design a…Axiomatic Design: Advances And Applications (2001)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Big data analytics in logistics and supply chain management: Certain investigations for research and applications (2016)Drivers of implementing Big Data Analytics in food supply chains for transition to a circular economy and sustainable operations management (2021)Pandemic, War, Natural Calamities, and Sustainability: Industry 4.0 Technologies to Overcome Traditional and Contemporary Supply Chain Challenges (2022)Big data analytics in supply chain decarbonisation: a systematic literature review and future research directions (2023)Qualitative Data Analysis: A Methods Sourcebook (1988)Qualitative Research Design: An Interactive Approach (1996)International Organization for Standardization (2011)Analysis of supply chain vulnerability factors in manufacturing enterprises: a fuzzy DEMATEL approach (2022)Blockchain sharding for e-commerce supply chain performance analytics towards Industry 5.0 (2024)Resilient Supply Chains in Industry 5.0: Leveraging AI for Predictive Maintenance and Risk Mitigation (2024)From a literature review to a conceptual framework for sustainable supply chain management (2008)Bibliometric Methods in Management and Organization (2014)bibliometrix : An R-tool for comprehensive science mapping analysis (2017)Artificial intelligence in supply chain and operations management: a multiple case study research (2023)Influences of artificial intelligence and blockchain technology on financial resilience of supply chains (2023)Artificial intelligence in supply chain management: A systematic literature review of empirical studies and research directions (2024)Inventory management in supply chains: a reinforcement learning approach (2002)Dynamic pricing and learning: Historical origins, current research, and new directions (2015)Artificial Intelligence, Algorithmic Pricing, and Collusion (2020)Competitive pricing on online markets: a literature review (2022)Deep reinforcement learning algorithms for dynamic pricing and inventory management of perishable products (2024)What Is Quantitative Research? An Overview and Guidelines (2024)DEFINING SUPPLY CHAIN MANAGEMENT (2001)Five Misunderstandings About Case-Study Research (2004)Defining digital transformation: Results from expert interviews (2019)Data-Driven Digital Services in the Automotive Industry (2022)Methods to Authenticate Luxury Products: Identifying Key Features and Most Recognized Deficits (2023)Data Analytics in Supply Chain Management: A State-of-the-Art Literature Review (2024)Industrial and business forecasting methods : a practical guide to exponential smoothing and curve fitting (1982)A novel hybridization of artificial neural networks and ARIMA models for time series forecasting (2010)An optimized model using LSTM network for demand forecasting (2020)A hybrid deep learning framework with CNN and Bi-directional LSTM for store item demand forecasting (2022)Forecasting seasonal demand for retail: A Fourier time-varying grey model (2024)Machine Learning and Deep Learning Models for Demand Forecasting in Supply Chain Management: A Critical Review (2024)Theory Building From Cases: Opportunities And Challenges (2007)Document Analysis as a Qualitative Research Method (2009)Qualitative Case Study Methodology: Study Design and Implementation for Novice Researchers (2015)Building the Resilient Supply Chain (2004)Toward the Theory of the Supply Chain (2015)Supply chain network design under uncertainty: A comprehensive review and future research directions (2017)RFM model for customer purchase behavior using K-Means algorithm (2019)B2C E-Commerce Customer Churn Prediction Based on K-Means and SVM (2022)A review on customer segmentation methods for personalized customer targeting in e-commerce use cases (2023)A new data-driven framework to select the optimal replenishment strategy in complex supply chains (2022)Adaptive production control of two-product closed-loop supply chain dynamics under disruptions (2023)Closed-loop supply chains: How do production capacity and production control policies impact the performance? (2024)
this work references cited by second hop

References

  • 1991Case Study Research: Design and Methods39,535 cited
  • 2012Supply-Chain Management: Logistics Catches up with Strategy664 cited
  • 2021Artificial intelligence applications in supply chain: A descriptive bibliometric analysis and future research directions369 cited
  • 2018RFM ranking – An effective approach to customer segmentation214 cited
  • 2022Predictive Analytics for Demand Forecasting – A Comparison of SARIMA and LSTM in Retail SCM147 cited
  • 2021Dynamic pricing under competition using reinforcement learning92 cited
  • 2020Big Data Analytics and Its Applications in Supply Chain Management64 cited
  • 2020A decision support system for strategic supply chain capacity planning under uncertainty: conceptual framework and experiment34 cited
  • 2021Modelling Supply Chain Dynamics23 cited
  • 2021Applications of Big Data Analytics in Supply Chain Management: Findings from Expert Interviews21 cited
  • 2021Dimensions of Data Analytics in Supply Chain Management: Objectives, Indicators and Data Questions18 cited
  • 2021Dynamic Churn Prediction using Machine Learning Algorithms - Predict your customer through customer behaviour17 cited
  • 2021Customer behaviour analysis based on buying-data sparsity for multi-category products in pork industry: A hybrid approach13 cited

Cited by

No citing works inside the corpus for this window.

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work