Call for papers – Special issue on “Collaborative Logistics”

This special issue aims to contribute to the discussion on how collaborative logistics can catalyze the transition towards a new, more sustainable organization of our logistical system. Authors are cordially invited to submit original research papers, review articles, empirical studies, and case studies for this special issue to Logistics until 1 October 2021.

For more information and paper submission: https://www.mdpi.com/journal/logistics/special_issues/collaborative_logistics

Vacancy – Assistant Professor (tenure-track) in Operations Research

The Department of Quantitative Economics (QE) of the School of Business and Economics (SBE) is looking for an (tenure-track) Assistant Professor in Operations Research. We are particularly interested in candidates with an academic record in Combinatorial Optimization, Mathematical Programming, Approximation Algorithms, Data Analytics and/or Logistics. Deadline for application is 21 May 2021. More information here.

PhD position – Department of Quantitative Economics

The Department of Quantitative Economics of the School of Business and Economics (Maastricht University) has a vacancy for a 4-year PhD position. As a PhD you are expected to write a PhD thesis in one of the fields of expertise of the department. Topics include econometrics, operations research, actuarial sciences, and economic theory, with a strong focus on quantitative and analytical methods. Both fundamental research as well as applied topics are possible, depending on your interests. Deadline for application is 29 April 2021. More information here.  

Joint route planning with customer priorities

We consider a less-than-truckload, last-mile delivery problem for a group of collaborating companies that operate in the same geographical region. Due to what is called “geographical overlap” in the distribution area, the total number of kilometres driven can be reduced if shipments of different suppliers are redistributed over the available vehicles such that each vehicle serves a part of the area.

By means of a set of computational experiments, we study the relationship between the following problem-specific elements: the individual partner’s strategy when setting the customer priorities, the route planning and the allocation of operational costs among the collaborating partners.