What is he best known for?
The fields of study he is best known for:
- Statistics
- Microeconomics
- Operations management
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 most cited work include:
- Matching Demand and Supply to Maximize Profits from Remanufacturing (394 citations)
- Review of inventory systems with deterioration since 2001 (391 citations)
- Inventory models with lateral transshipments: A review (277 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Operations research (33.53%)
- Inventory control (28.24%)
- Mathematical optimization (22.35%)
What were the highlights of his more recent work (between 2015-2021)?
- Condition-based maintenance (8.82%)
- Operations research (33.53%)
- Inventory control (28.24%)
In recent papers he was focusing on the following fields of study:
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
- Process that connect with fields like Planned maintenance,
- Predictive maintenance and related Resource dependence theory, Lagging and Data mining,
- Inventory optimization which connect with Average cost.
His work carried out in the field of Operations research brings together such families of science as Build to order, Service level, Operations management, Two-sided market and Rush hour.
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.
Between 2015 and 2021, his most popular works were:
- Forty years of the European Journal of Operational Research: A bibliometric overview (150 citations)
- Condition-based maintenance policies for systems with multiple dependent components: a review (136 citations)
- The influence of practical factors on the benefits of condition-based maintenance over time-based maintenance (70 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Microeconomics
- Marketing
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
- Hybrid system, which have a strong connection to Build to stock, Batch production and Mathematical optimization,
- Production planning which intersects with area such as Lead time.
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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