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A new methodology to optimize target stock level for unpredictable demand of spare parts: A Case Study in Business Aircrafts’ Industry
10 references·0 citing·47 second hop
A new methodology to optimize target stock level for unpredictable demand of spare parts: A Case Study in Business Aircrafts’ Industry (2018)A new methodology to optimize target stoc…Inventory optimization for a customer airline in a Performance Based Contract (2016)Inventory optimization for a …Efficient aircraft spare parts inventory management under demand uncertainty (2014)Efficient aircraft spare part…Demand forecasting and inventory control: A simulation study on automotive spare parts (2014)Demand forecasting and invent…Multi-objective optimization for inventory control in two-level assembly systems under uncertainty of lead times (2009)Multi-objective optimization …Forecasting intermittent demand: a comparative study (2008)Forecasting intermittent dema…An inventory control system for spare parts at a refinery: An empirical comparison of different re-order point methods (2007)An inventory control system f…Supply Chain Management: Strategy, Planning and Operations (2000)Supply Chain Management: Stra…Mixture inventory model involving variable lead time with a service level constraint (1997)Mixture inventory model invol…An Inventory Policy for Slow and Fast Movers in a Petrochemical Plant: A Case Study (1978)An Inventory Policy for Slow …Metric: A Multi-Echelon Technique for Recoverable Item Control (1968)Metric: A Multi-Echelon Techn…Forecasting and Stock Control for Intermittent Demands (1972)Forecasting: Methods and Applications (1984)Forecasting methods and applications (1993)Forecasting the intermittent demand for slow-moving inventories: A modelling approach (2011)Evaluating predictive count data distributions in retail sales forecasting (2016)Single-hidden layer neural networks for forecasting intermittent demand (2016)Assembly-like queues (1973)Setting Planned Leadtimes in Serial Production Systems with Tardiness Costs (1987)Multiple Criteria Optimization: State of the Art Annotated Bibliographic Surveys (2002)A simulation-based multi-objective optimization framework: A case study on inventory management (2016)Impact of lead time variability in supply chain risk management (2016)Genetic algorithm and Monte Carlo simulation for a stochastic capacitated disassembly lot-sizing problem under random lead times (2021)Sources of intermittent demand for aircraft spare parts within airline operations (2002)Evaluation of forecasting methods for intermittent parts demand in the field of aviation: a predictive model (2003)Failure replacement and preventive maintenance spare parts ordering policy (2003)Spare parts management for irregular demand items (2017)Forecasting spare part demand with installed base information: A review (2018)Testing an AHP model for aircraft spare parts (2019)Computer Simulation Techniques. (1967)Time Series Analysis: Forecasting and Control (1977)FORECASTING OF INTERMITTENT DEMAND (2001)An applied model for improving inventory management in ERP systems (2003)Ensemble learning for demand forecast of After-Market spare parts to empower data-driven value chain and an empirical study (2023)Inventory management and production planning and scheduling (1999)Spare parts inventory management: New evidence from distribution fitting (2017)Intermittent demand forecasting for spare parts: A Critical review (2021)Applications of Artificial Intelligence in Inventory Management: A Systematic Review of the Literature (2023)Decision Systems for Inventory Management and Production Planning (1979)Principles of inventory and materials management (1982)The Distribution Free Newsboy Problem: Review and Extensions (1993)Improved quality, setup cost reduction, and variable backorder costs in an imperfect production process (2013)Manufacturing setup cost reduction and quality improvement for the distribution free continuous-review inventory model with a service level constraint (2014)Quality improvement and backorder price discount under controllable lead time in an inventory model (2014)A Multi-Echelon Inventory Model for a Repairable Item with One-for-One Replenishment (1985)Inventory models with lateral transshipments: A review (2010)A Two-Echelon Inventory System with a Minimum Order Quantity Requirement (2019)Modelling, analysis and improvement of an integrated chance-constrained model for level of repair analysis and spare parts supply control (2019)Product–service system negotiation in aircraft lease contracts with option of disagreement (2022)Managing Disruption Risks in Supply Chains (2005)Supply chain collaboration: Impact on collaborative advantage and firm performance (2010)Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future (2014)Intermittent demand: Linking forecasting to inventory obsolescence (2011)Supply chain forecasting: Theory, practice, their gap and the future (2015)OR in spare parts management: A review (2017)Material Management in Decentralized Supply Chains (1993)Inventory Management with Asset-Based Financing (2004)Performance Contracting in After-Sales Service Supply Chains (2007)
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References

  • 2000Supply Chain Management: Strategy, Planning and Operations2,583 cited
  • 1968Metric: A Multi-Echelon Technique for Recoverable Item Control960 cited
  • 2007An inventory control system for spare parts at a refinery: An empirical comparison of different re-order point methods188 cited
  • 2008Forecasting intermittent demand: a comparative study183 cited
  • 1997Mixture inventory model involving variable lead time with a service level constraint129 cited
  • 2014Demand forecasting and inventory control: A simulation study on automotive spare parts101 cited
  • 2014Efficient aircraft spare parts inventory management under demand uncertainty87 cited
  • 2009Multi-objective optimization for inventory control in two-level assembly systems under uncertainty of lead times61 cited
  • 1978An Inventory Policy for Slow and Fast Movers in a Petrochemical Plant: A Case Study42 cited
  • 2016Inventory optimization for a customer airline in a Performance Based Contract28 cited

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