Ruud H. Teunter spends much of his time researching Operations research, Operations management, Remanufacturing, Mathematical optimization and Inventory control. Ruud H. Teunter interconnects Total cost and Total absorption costing in the investigation of issues within Operations research. His Operations management research incorporates elements of Service level, Ranking, Inventory system and Stock keeping unit.
His work deals with themes such as Quality, Microeconomics and Reverse logistics, which intersect with Remanufacturing. His work on Holding cost and Demand rate as part of general Mathematical optimization research is often related to Product recovery, thus linking different fields of science. Inventory control is closely attributed to Actuarial science in his research.
His primary areas of investigation include Operations research, Inventory control, Mathematical optimization, Remanufacturing and Operations management. His Operations research research is multidisciplinary, incorporating elements of Service level, Spare part, Reverse logistics, Order and Product. Ruud H. Teunter has researched Inventory control in several fields, including Lead time, Demand forecasting, Average cost and Actuarial science.
His studies deal with areas such as Marginal cost and Economic order quantity as well as Mathematical optimization. His studies in Remanufacturing integrate themes in fields like Production, Microeconomics, Holding cost and Industrial organization. The Holding cost study combines topics in areas such as Total cost and Heuristics.
His scientific interests lie mostly in Condition-based maintenance, Operations research, Inventory control, Reliability engineering and Production. His study on Condition-based maintenance also encompasses disciplines like
In general Operations management, his work in Spare part is often linked to Variable linking many areas of study. His research integrates issues of Poisson distribution, Estimator, Econometrics and Lead time in his study of Inventory control. Ruud H. Teunter combines subjects such as Cluster analysis and Condition monitoring with his study of Reliability engineering.
His main research concerns Condition-based maintenance, Operations research, Markov decision process, Reliability engineering and Inventory optimization. His Operations research research is multidisciplinary, relying on both Bibliometrics and Data science. His research on Markov decision process also deals with topics like
His Inventory optimization study combines topics from a wide range of disciplines, such as Average cost, Risk analysis and Predictive maintenance. His study in Average cost is interdisciplinary in nature, drawing from both Spare part, Cycle count, Operations management and Inventory theory. His Inventory theory study contributes to a more complete understanding of Inventory control.
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Matching Demand and Supply to Maximize Profits from Remanufacturing
V. Daniel R. Guide;Ruud H. Teunter;Luk N. Van Wassenhove.
Review of inventory systems with deterioration since 2001
Monique Bakker;Jan Riezebos;Ruud H. Teunter.
Inventory models with lateral transshipments: A review
Colin Paterson;Gudrun P. Kiesmüller;Ruud H. Teunter;Kevin D. Glazebrook.
Economic ordering quantities for recoverable item inventory systems
Ruud H. Teunter.
ABC classification: service levels and inventory costs
R.H. Teunter;M.Z. Babai;A.A. Syntetos.
Condition-based maintenance policies for systems with multiple dependent components: a review
Minou C.A. Olde Keizer;Simme Douwe P. Flapper;Ruud H. Teunter.
Optimal core acquisition and remanufacturing policies under uncertain core quality fractions
RH Ruud Teunter;Sdp Simme Douwe Flapper.
Lot-sizing for inventory systems with product recovery
The newsboy problem with resalable returns: a single period model and case study
Julien Mostard;Ruud H. Teunter.
Dynamic lot sizing with product returns and remanufacturing
Ruud H. Teunter;Z. Pelin Bayindir;Wilco Van Den Heuvel.
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