Albert Wagelmans

Last updated

Albert Peter Marie (Albert) Wagelmans (born 1960) is a Dutch economist and Professor of Management Science at the Erasmus School of Economics (ESE) of the Erasmus University Rotterdam working in the fields of mathematical optimization methods [1] [2] for production, public transport and health care planning.

Contents

Biography

Born in 1960 in Rotterdam, Wagelmans received his MSc in econometrics at the Erasmus University Rotterdam in 1985, where in 1990 he received his Phd with the thesis entitled "Sensitivity analysis in combinatorial optimization," under supervision of Alexander Rinnooy Kan and Antoon Kolen. [3]

Wagelmans had started his academic career at the Erasmus University Rotterdam as teaching assistant in 1982, became assistant professor in 1986 and was instructor at the MBA Executive Development program in 1987/88. In 1989 he was visiting researcher at the Université Catholique de Louvain, and in 1990/91 visiting researcher at Massachusetts Institute of Technology. Back in Rotterdam in 2001 Wagelmans was appointed Professor of Operations Research at the Erasmus University Rotterdam, where he held his inauguration speech "Moeilijk doen als het ook makkelijk kan" (Making it hard, when it can be done easily) about the usefulness of mathematical analysis in decision problems. [4] In 2005, he was appointed Professor of Management Science.

From 1999 to 2003 Wagelmans was director of the Rotterdam Institute for Business Economic Studies (RIBES), and associate director of the Erasmus Research Institute of Management (ERIM). From 2001 to 2006 he was Director of the Bachelor-Master Program in Econometrics & Management Science, and from 2005 to 2006 also Director of the Bachelor-Master Program in Informatics & Economics. From 2006 to 2014 Wagelmans was Director of the Econometric Institute as successor of Philip Hans Franses, and is succeeded by Patrick Groenen. He is research fellow of the Tinbergen Institute since 1999, and fellow of ERIM since 2006. [5]

Since 2015 Wagelmans is Chairman of the Dutch Society of Operations Research (NGB), and since 2016 he is Vice President 1 of the Association of European Operational Research Societies (EURO).

Work

A Dynamic Lot-Sizing Model with Demand Time Windows, 2001

In the 2001 article "A Dynamic Lot-Sizing Model with Demand Time Windows" published in Management Science, Lee, Sila & Wagelmans described the dynamic lot-sizing model and "the dynamic lot-sizing problem with demand time windows and provides polynomial time algorithms for computing its solution." [6] They summarized this matter as follows:

One of the basic assumptions of the classical dynamic lot-sizing model is that the aggregate demand of a given period must be satisfied in that period. Under this assumption, if backlogging is not allowed then the demand of a given period cannot be delivered earlier or later than the period. If backlogging is allowed, the demand of a given period cannot be delivered earlier than the period, but can be delivered later at the expense of a backordering cost. Like most mathematical models, the classical dynamic lot-sizing model is a simplified paraphrase of what might actually happen in real life. In most real life applications, the customer offers a grace period - we call it a demand time window - during which a particular demand can be satisfied with no penalty. That is, in association with each demand, the customer specifies an earliest and a latest delivery time. The time interval characterized by the earliest and latest delivery dates of a demand represents the corresponding time window. [6]

Jaruphongsa summarized that "Lee et al. (2001) generalize the classical (single echelon) dynamic lot-sizing model to consider demand time windows, and they provide polynomial time algorithms for two cases—where backorders are allowed and where they are not." [7]

Multiple-Depot Integrated Vehicle and Crew Scheduling, 2004

In the 2005 article "Multiple-Depot Integrated Vehicle and Crew Scheduling," Huisman, Freling and Wagelmans presented two new models and algorithms in the field of the vehicle routing problem, specifically for "integrated vehicle and crew scheduling in the multiple-depot case." [8] they explained:

The algorithms are both based on a combination of column generation and Lagrangian relaxation. Furthermore, we compare those integrated approaches with each other and with the traditional sequential one on random generated as well as real-world data instances for a suburban/extra-urban mass transit system. To simulate such a transit system, we propose a new way of generating randomly data instances such that their properties are the same as for our real-world instances. [8]

Selected publications

Wagelmans has authored and co-authored numerous publications. Book: [9]

Articles, a selection: [10]

Related Research Articles

<span class="mw-page-title-main">Jan Tinbergen</span> Dutch economist (1903–1994)

Jan Tinbergen was a Dutch economist who was awarded the first Nobel Memorial Prize in Economic Sciences in 1969, which he shared with Ragnar Frisch for having developed and applied dynamic models for the analysis of economic processes. He is widely considered to be one of the most influential economists of the 20th century and one of the founding fathers of econometrics.

<span class="mw-page-title-main">Erasmus University Rotterdam</span> Public university in the Netherlands

Erasmus University Rotterdam is a public research university located in Rotterdam, Netherlands. The university is named after Desiderius Erasmus Roterodamus, a 15th-century Christian humanist and theologian.

The economic lot scheduling problem (ELSP) is a problem in operations management and inventory theory that has been studied by many researchers for more than 50 years. The term was first used in 1958 by professor Jack D. Rogers of Berkeley, who extended the economic order quantity model to the case where there are several products to be produced on the same machine, so that one must decide both the lot size for each product and when each lot should be produced. The method illustrated by Jack D. Rogers draws on a 1956 paper from Welch, W. Evert. The ELSP is a mathematical model of a common issue for almost any company or industry: planning what to manufacture, when to manufacture and how much to manufacture.

<span class="mw-page-title-main">Vehicle routing problem</span> Optimization problem

The vehicle routing problem (VRP) is a combinatorial optimization and integer programming problem which asks "What is the optimal set of routes for a fleet of vehicles to traverse in order to deliver to a given set of customers?" It generalises the travelling salesman problem (TSP). It first appeared in a paper by George Dantzig and John Ramser in 1959, in which the first algorithmic approach was written and was applied to petrol deliveries. Often, the context is that of delivering goods located at a central depot to customers who have placed orders for such goods. The objective of the VRP is to minimize the total route cost. In 1964, Clarke and Wright improved on Dantzig and Ramser's approach using an effective greedy algorithm called the savings algorithm.

Material theory is the sub-specialty within operations research and operations management that is concerned with the design of production/inventory systems to minimize costs: it studies the decisions faced by firms and the military in connection with manufacturing, warehousing, supply chains, spare part allocation and so on and provides the mathematical foundation for logistics. The inventory control problem is the problem faced by a firm that must decide how much to order in each time period to meet demand for its products. The problem can be modeled using mathematical techniques of optimal control, dynamic programming and network optimization. The study of such models is part of inventory theory.

The dynamic lot-size model in inventory theory, is a generalization of the economic order quantity model that takes into account that demand for the product varies over time. The model was introduced by Harvey M. Wagner and Thomson M. Whitin in 1958.

<span class="mw-page-title-main">Ravindra K. Ahuja</span> American computer scientist

Ravindra K. Ahuja is an Indian-born American computer scientist and entrepreneur. He is currently Professor of Industrial and Systems Engineering at the University of Florida in Gainesville, Florida, and CEO of the automation and optimization solutions provider Optym, which he founded in 2000 as Innovative Scheduling, Inc.

<span class="mw-page-title-main">Alexander Rinnooy Kan</span> Dutch politician

Alexander Hendrik George Rinnooy Kan is a Dutch politician, businessman and mathematician who served as Chairman of the Social and Economic Council from 2006 to 2012. A member of the Democrats 66 (D66) party, he was a member of the Senate from 2015 to 2019 and is a distinguished professor of Economics and Business Studies at the University of Amsterdam since 1 September 2012. He has also been president of the supervisory board of EYE Film Institute Netherlands since 2008 and of Museum Boerhaave since 2018.

Harvey Maurice Wagner was an American management scientist, consultant, and Professor of Operations Research and Innovation Management at the University of North Carolina, Chapel Hill, known for his books on Operations Research and his seminal work on the dynamic lot-size model with Thomson M. Whitin.

<span class="mw-page-title-main">Thomson M. Whitin</span>

Thomson McLintock Whitin was an American management scientist, and Emeritus Professor of Economics and Social Sciences at Wesleyan University, known for his work on inventory control and inventory management.

Econometric Institute at the Erasmus University Rotterdam is a leading research institute in the fields of econometrics and management science in the Netherlands. The Institute offers advanced education in econometrics. It was founded in 1956 by Henri Theil in cooperation with Jan Tinbergen.

Teunis (Teun) Kloek is a Dutch economist and Emeritus Professor of Econometrics at the Erasmus Universiteit Rotterdam. His research interests centered on econometric methods and their applications, especially nonparametric and robust methods in econometrics.

Herman Koene van Dijk is a Dutch economist Consultant at the Research Department of Norges Bank and Professor Emeritus at the Econometric Institute of the Erasmus University Rotterdam, known for his contributions in the field of Bayesian analysis.

<span class="mw-page-title-main">Philip Hans Franses</span> Dutch economist (born 1963)

Philippus Henricus Benedictus Franciscus "Philip Hans" Franses is a Dutch economist and Professor of Applied Econometrics and Marketing Research at the Erasmus University Rotterdam, and dean of the Erasmus School of Economics, especially known for his 1998 work on "Nonlinear Time Series Models in Empirical Finance."

Patrick John Fitzgerald (Patrick) Groenen is a Dutch economist and Professor of Statistics at the Erasmus School of Economics (ESE) of the Erasmus University Rotterdam, known for his work in the fields of exploratory factor analysis, multidimensional scaling and numerical algorithms in these fields.

Anthonius Wilhelmus Johannes (Antoon) Kolen was a Dutch mathematician and Professor at the Maastricht University, in the Department of Quantitative Economics. He is known for his work on dynamic programming, such as interval scheduling and mathematical optimization.

Constantinus P. M. van Hoesel is a Dutch mathematician, and Professor of Operations Research at the Maastricht University, and head of its Quantitative Economics Group, known for his work on mathematical optimization.

Christiaan Heij is a Dutch mathematician, Assistant Professor in statistics and econometrics at the Econometric Institute at the Erasmus University Rotterdam, known for his work in the field of mathematical systems theory, and econometrics.

Maria Teresa Rocha de Magalhães Melo is a Portuguese mathematician and operations researcher who works as a professor in the business school of the Saarland University of Applied Sciences, a Fachhochschule in Saarbrücken, Germany. Her research interests include facility location, supply chain management, and in-hospital patient transport.

References

  1. ↑ Brahimi, Nadjib, et al. "Single item lot sizing problems." European Journal of Operational Research 168.1 (2006): 1-16.
  2. ↑ Pochet, Yves, and Laurence A. Wolsey. Production planning by mixed integer programming. Springer, 2006.
  3. ↑ Albert P. M. Wagelmans at the Mathematics Genealogy Project OOjs UI icon edit-ltr-progressive.svg
  4. ↑ "Moeilijk doen als het ook makkelijk kan (2002)" (PDF). Archived from the original (PDF) on 2007-07-11. Retrieved 2014-09-24.
  5. ↑ Curriculum vitae Albert Wagelmans Archived 2009-04-24 at the Wayback Machine , sept 2006 at people.few.eur.nl. Accessed Sept. 25, 2014.
  6. 1 2 Lee, Sila & Wagelmans (2001)
  7. ↑ Jaruphongsa, Wikrom, Sila Cetinkaya, and Chung-Yee Lee. "Warehouse space capacity and delivery time window considerations in dynamic lot-sizing for a simple supply chain." International Journal of Production Economics 92.2 (2004): 169-180.
  8. 1 2 Huisman, Freling and Wagelmans (2005, p. 1)
  9. ↑ Albert Wagelmans publications indexed by Google Scholar OOjs UI icon edit-ltr-progressive.svg
  10. ↑ Albert P. M. Wagelmans at DBLP Bibliography Server OOjs UI icon edit-ltr-progressive.svg
This page is based on this Wikipedia article
Text is available under the CC BY-SA 4.0 license; additional terms may apply.
Images, videos and audio are available under their respective licenses.