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Fundamentals of Supply Chain Theory
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Fundamentals of Supply Chain Theory (2019)Fundamentals of Supply Chain TheoryOperational Research: methods and applications (2023)Operational Research: methods…Co-authorship network analysis of AI applications in sustainable supply chains: Key players and themes (2023)Co-authorship network analysi…A Deep Q-Network for the Beer Game: Deep Reinforcement Learning for Inventory Optimization (2021)A Deep Q-Network for the Beer…Risk Management: Rethinking Fashion Supply Chain Management for Multinational Corporations in Light of the COVID-19 Outbreak (2020)Risk Management: Rethinking F…A Practical End-to-End Inventory Management Model with Deep Learning (2020)A Practical End-to-End Invent…Quantile forecasting and data-driven inventory management under nonstationary demand (2019)Quantile forecasting and data…Applying deep learning to the newsvendor problem (2019)Applying deep learning to the…A survey of semiconductor supply chain models Part II: demand planning, inventory management, and capacity planning (2018)A survey of semiconductor sup…A survey of semiconductor supply chain models part I: semiconductor supply chains, strategic network design, and supply chain simulation (2017)A survey of semiconductor sup…The Impact of Inventory Management on Stock-Outs of Essential Drugs in Sub-Saharan Africa: Secondary Analysis of a Field Experiment in Zambia (2016)The Impact of Inventory Manag…Bayesian intermittent demand forecasting for large inventories (2016)Bayesian intermittent demand …Supply chain analytics (2014)Supply chain analyticsPiecewise linear approximations for the static–dynamic uncertainty strategy in stochastic lot-sizing (2014)Piecewise linear approximatio…Design of Resilient Supply Chains with Risk of Facility Disruptions (2014)Design of Resilient Supply Ch…Retail Store Density and the Cost of Greenhouse Gas Emissions (2011)Retail Store Density and the …Centralization versus Decentralization: Risk Pooling, Risk Diversification, and Supply Chain Disruptions (2011)Centralization versus Decentr…Foundations of Inventory Management (2000)Manufacturing Planning and Control for Supply Chain Management (2004)The Theory and Practice of Revenue Management (2004)How data analytics is transforming agriculture (2017)Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities (2020)Tackling the HR digitalization challenge: key factors and barriers to HR analytics adoption (2020)The Economics of Climate Change (2007)The Economics of Climate Change (2010)Triumph of the city: how our greatest invention makes us richer, smarter, greener, healthier, and happier (2011)Emission-dependent supply chain and environment-policy-making in the ‘cap-and-trade’ system (2012)Multi-item production planning with carbon cap and trade mechanism (2013)Optimal production and carbon emission reduction level under cap-and-trade and low carbon subsidy policies (2017)Simulation Modeling and Analysis. (1983)Forecasting methods and applications (1993)Simulation modeling and analysis (1999)A roadmap for higher research quality in humanitarian operations: A methodological perspective (2018)A systematic literature review of simulation models for non-technical skill training in healthcare logistics (2018)Vaccine supply chains in resource-limited settings: Mitigating the impact of rainy season disruptions (2021)Analysis of Inventory Systems. (1964)Time Series Analysis: Forecasting and Control. (1978)Practical Bayesian Optimization of Machine Learning Algorithms (2012)A data-driven newsvendor problem: From data to decision (2019)Inventory – forecasting: Mind the gap (2021)A survey of contextual optimization methods for decision-making under uncertainty (2024)Information Distortion in a Supply Chain: The Bullwhip Effect (1997)Business Dynamics: Systems Thinking and Modeling for a Complex World (2000)Introduction to Stochastic Programming (2011)Deep reinforcement learning for selecting demand forecast models to empower Industry 3.5 and an empirical study for a semiconductor component distributor (2020)The Global Semiconductor Chip Shortage: Causes, Implications, and Potential Remedies (2022)Semiconductor supply chain resilience and disruption: insights, mitigation, and future directions (2024)What is the Right Supply Chain for Your Product (1997)Perspectives in supply chain risk management (2006)Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case (2020)Exploring customers' responses to online service failure and recovery strategies during Covid‐19 pandemic: An actor–network theory perspective (2021)Barriers to sustainable sourcing in the apparel and fashion luxury industry (2022)Workforce and supply chain disruption as a digital and technological innovation opportunity for resilient manufacturing systems in the COVID-19 pandemic (2022)Lot Sizing with Random Yields: A Review (1995)On the Value of Mitigation and Contingency Strategies for Managing Supply Chain Disruption Risks (2006)A quantitative analysis of disruption risk in a multi-echelon supply chain (2012)Robust global supply chain network design under disruption and uncertainty considering resilience strategies: A parallel memetic algorithm for a real-life case study (2016)Simulation-based ripple effect modelling in the supply chain (2017)Optimal Policies for a Multi-Echelon Inventory Problem (1960)Modeling Managerial Behavior: Misperceptions of Feedback in a Dynamic Decision Making Experiment (1989)Deep reinforcement learning for inventory control: A roadmap (2021)The role of artificial intelligence in supply chain management: mapping the territory (2022)Generative artificial intelligence in supply chain and operations management: a capability-based framework for analysis and implementation (2024)The Big Data Newsvendor: Practical Insights from Machine Learning (2018)From Predictive to Prescriptive Analytics (2019)Strengthening supply chain resilience during COVID ‐19: A case study of JD .com (2021)A new key performance indicator model for demand forecasting in inventory management considering supply chain reliability and seasonality (2023)A theory of justice original editionJudgment under Uncertainty: Heuristics and Biases (1974)Measuring the efficiency of decision making units (1978)Location-pricing problem in a two-echelon supply chain: A behavioral game-theoretic approach (2023)The Four Waves of Systems Thinking (2023)50 years of Computers & Operations Research: A bibliometric analysis (2024)
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  • 2011Retail Store Density and the Cost of Greenhouse Gas Emissions289 cited
  • 2014Supply chain analytics246 cited
  • 2021A Deep Q-Network for the Beer Game: Deep Reinforcement Learning for Inventory Optimization242 cited
  • 2020Risk Management: Rethinking Fashion Supply Chain Management for Multinational Corporations in Light of the COVID-19 Outbreak220 cited
  • 2011Centralization versus Decentralization: Risk Pooling, Risk Diversification, and Supply Chain Disruptions217 cited
  • 2020A Practical End-to-End Inventory Management Model with Deep Learning178 cited
  • 2017A survey of semiconductor supply chain models part I: semiconductor supply chains, strategic network design, and supply chain simulation169 cited
  • 2019Applying deep learning to the newsvendor problem163 cited
  • 2023Operational Research: methods and applications124 cited
  • 2016The Impact of Inventory Management on Stock-Outs of Essential Drugs in Sub-Saharan Africa: Secondary Analysis of a Field Experiment in Zambia104 cited
  • 2014Design of Resilient Supply Chains with Risk of Facility Disruptions93 cited
  • 2016Bayesian intermittent demand forecasting for large inventories81 cited
  • 2018A survey of semiconductor supply chain models Part II: demand planning, inventory management, and capacity planning80 cited

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  • 2023Co-authorship network analysis of AI applications in sustainable supply chains: Key players and themes69 cited
  • 2014Piecewise linear approximations for the static–dynamic uncertainty strategy in stochastic lot-sizing59 cited
  • 2019Quantile forecasting and data-driven inventory management under nonstationary demand59 cited