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A Computational Model for Determining Levels of Factors in Inventory Management Using Response Surface Methodology
15 references·3 citing·47 second hop
A Computational Model for Determining Levels of Factors in Inventory Management Using Response Surface Methodology (2020)A Computational Model for Determining Lev…Optimizing ( s, S ) policies for multi-period inventory models with demand distribution uncertainty: Robust dynamic programing approaches (2017)Optimizing ( s, S ) policies …An EOQ model for stochastic demand for limited capacity of own warehouse (2013)An EOQ model for stochastic d…Quantifying the impact of a supply chain's design parameters on the bullwhip effect using simulation and Taguchi design of experiments (2012)Quantifying the impact of a s…On the exact calculation of the fill rate in a periodic review inventory policy under discrete demand patterns (2011)On the exact calculation of t…The exact fill rate in a periodic review base stock system under normally distributed demand (2010)The exact fill rate in a peri…Computing the non-stationary replenishment cycle inventory policy under stochastic supplier lead-times (2010)Computing the non-stationary …A single-item continuous review inventory problem with space restriction (2010)A single-item continuous revi…Determining order-up-to levels under periodic review for compound binomial (intermittent) demand (2009)Determining order-up-to level…Response surface methodology (RSM) as a tool for optimization in analytical chemistry (2008)Response surface methodology …Periodic control of intermittent demand items: theory and empirical analysis (2008)Periodic control of intermitt…Calculating order-up-to levels for products with intermittent demand (2008)Calculating order-up-to level…A comparison of simple heuristics for multi-product dynamic demand lot-sizing with limited warehouse capacity (2008)A comparison of simple heuris…Modeling and optimization I: Usability of response surface methodology (2006)Modeling and optimization I: …EOQ and EPQ with linear and fixed backorder costs: Two cases identified and models analyzed without calculus (2004)EOQ and EPQ with linear and f…The Role of Statistical Design of Experiments in Six Sigma: Perspectives of a Practitioner (2002)The Role of Statistical Desig…Inventory Management Optimization of Green Supply Chain Using IPSO‐BPNN Algorithm under the Artificial Intelligence (2022)Inventory Management Optimiza…Systematic Assessment of Product Quality (2021)Systematic Assessment of Prod…Solving Order Planning Problem Using a Heuristic Approach: The Case in a Building Material Distributor (2020)Solving Order Planning Proble…Forecasting and Stock Control for Intermittent Demands (1972)On the categorization of demand patterns (2004)The accuracy of intermittent demand estimates (2004)The Accuracy of Non‐traditional versus Traditional Methods of Forecasting Lumpy Demand (2011)Another look at estimators for intermittent demand (2016)Elucidate structure in intermittent demand series (2020)Dynamic Version of the Economic Lot Size Model (1958)Operations Research in Production Planning, Scheduling and Inventory Control. (1975)Dynamic Version of the Economic Lot Size Model (2004)Solving lot-sizing problem with quantity discount and transportation cost (2011)A novel mathematical model for a multi-period, multi-product optimal ordering problem considering expiry dates in a FEFO system (2016)A systematic literature review on the joint replenishment problem solutions: 2006-2015 (2017)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)A novel hybrid MCDM model combining the SAW, TOPSIS and GRA methods based on experimental design (2016)Applications of Response Surface Methodology in the Food Industry Processes (2017)Experimental design and response surface methodology in energy applications: A tutorial review (2017)Design of Experiments (1936)Statistics for Experimenters (1979)Empirical Model Building and Response Surfaces (1988)Fortification of Six Sigma: expanding the DMAIC toolset (2007)Is design of experiments really used? 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(1964)Forecast combinations for intermittent demand (2014)On intermittent demand model optimisation and selection (2014)Comparison of statistical and machine learning methods for daily SKU demand forecasting (2020)Production and inventory management (1983)Foundations of Inventory Management (2000)An economic production quantity model with stochastic demand in an imperfect production system (2011)An improved algorithm and solution on an integrated production-inventory model in a three-layer supply chain (2011)A synergic economic order quantity model with trade credit, shortages, imperfect quality and inspection errors (2015)Developing a Model of Factors Influencing the Quality of Service for Disabled Customers in the Condition s of Sustainable Development, Illustrated by an Example of the Silesian Voivodeship Public Administration (2018)Sustainable engineering (2022)Functioning of predictive analytics in business (2023)Functioning of real-time analytics in business (2023)Experimental design and multiple response optimization. Using the desirability function in analytical methods development (2014)Design of experiments (DoE) in pharmaceutical development (2017)Improving cash logistics in bank branches by coupling machine learning and robust optimization (2017)Replacement and inventory control for a multi-customer product service system with decreasing replacement costs (2018)Sustainable construction supply chain management with the spotlight of inventory optimization under uncertainty (2020)
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References

  • 2008Response surface methodology (RSM) as a tool for optimization in analytical chemistry6,062 cited
  • 2006Modeling and optimization I: Usability of response surface methodology2,159 cited
  • 2002The Role of Statistical Design of Experiments in Six Sigma: Perspectives of a Practitioner85 cited
  • 2009Determining order-up-to levels under periodic review for compound binomial (intermittent) demand71 cited
  • 2004EOQ and EPQ with linear and fixed backorder costs: Two cases identified and models analyzed without calculus68 cited
  • 2013An EOQ model for stochastic demand for limited capacity of own warehouse52 cited
  • 2017Optimizing ( s, S ) policies for multi-period inventory models with demand distribution uncertainty: Robust dynamic programing approaches52 cited
  • 2008A comparison of simple heuristics for multi-product dynamic demand lot-sizing with limited warehouse capacity51 cited
  • 2008Periodic control of intermittent demand items: theory and empirical analysis49 cited
  • 2010The exact fill rate in a periodic review base stock system under normally distributed demand47 cited
  • 2010A single-item continuous review inventory problem with space restriction42 cited
  • 2010Computing the non-stationary replenishment cycle inventory policy under stochastic supplier lead-times40 cited
  • 2012Quantifying the impact of a supply chain's design parameters on the bullwhip effect using simulation and Taguchi design of experiments

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39 cited
  • 2011On the exact calculation of the fill rate in a periodic review inventory policy under discrete demand patterns37 cited
  • 2008Calculating order-up-to levels for products with intermittent demand29 cited
  • Cited by

    • 2021Systematic Assessment of Product Quality52 cited
    • 2020Solving Order Planning Problem Using a Heuristic Approach: The Case in a Building Material Distributor25 cited
    • 2022Inventory Management Optimization of Green Supply Chain Using IPSO‐BPNN Algorithm under the Artificial Intelligence22 cited