Operating room planning and scheduling: A literature review

Driven by new laws and regulations concerning the emission of greenhouse gases, carriers are starting to use electric vehicles for last-mile deliveries. The limited battery capacities of these vehicles necessitate visits to recharging stations during delivery tours of industry-typical length, which have to be considered in the route planning to avoid inefficient vehicle routes with long detours. We introduce the electric vehicle-routing problem with time windows and recharging stations E-VRPTW, which incorporates the possibility of recharging at any of the available stations using an appropriate recharging scheme. Furthermore, we consider limited vehicle freight capacities as well as customer time windows, which are the most important constraints in real-world logistics applications. As a solution method, we present a hybrid heuristic that combines a variable neighborhood search algorithm with a tabu search heuristic. Tests performed on newly designed instances for the E-VRPTW as well as on benchmark instances of related problems demonstrate the high performance of the heuristic proposed as well as the positive effect of the hybridization.

The Electric Vehicle-Routing Problem with Time Windows and Recharging Stations

The Electric Vehicle Routing Problem with Time Windows and Recharging Stations

A survey of healthcare facility location

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Operations research: applications and algorithms / Wayne L. Winston

Vehicle automation technologies are rapidly developing and will be available soon. Businesses in the logistics industry can develop a competitive advantage when effectively adopting this new technology. However, only limited research exists about the impact of autonomous vehicles on the logistics industry. The aim of this paper is to provide a broad introduction to autonomous vehicles, after which the usage and potential consequences of autonomous vehicles in logistics is discussed. It is clear the adoption of AVs holds the promise of completely innovating the way in which mobility and transportation logistics are dealt with and many research opportunities remain unexplored.

Introducing autonomous vehicles in logistics: a review from a broad perspective

Analytical analysis of a generic assembly system

Organ transplants have always suffered from long waiting lists. This has led to time playing a crucial role in the organ transplant process. Therefore, from the moment a potential donor is notified, it is important to get the organ as quickly as possible to its recipient. The ultimate goal of this paper is to develop a general model in order to minimize this transport time. This is accomplished by jointly determining which transplant center(s) for which organ(s) to establish in a particular country (given the location of potential transplant centers), and the location of shipping agents for transportation of these organs. The problem is modeled as a mixed integer programming (MIP) problem. We then apply this model to organ transplants in Belgium. Extensive numerical experiments show that considering only the components influencing the cold ischemia time in the objective function, as well as a budget constraint or non binding time covering constraint, leads to the centralization of transplant centers. The MIP model performs well in terms of computation times except for the case involving a huge number of potential shipping agents.

Optimizing the supply chain design for organ transplants

HDR brachytherapy is a form of internal radiotherapy, in which a tumor receives a temporary high dose of radiation. The treatment is commonly used in clinical practice. We discuss the literature based on the following criteria: scope (interstitial or intracavitary), planning method (forward or inverse planning), objectives (in order to guarantee the right dose for the target area, critical organs and normal tissue), decision process (a priori, a posteriori or interactive), optimization techniques (exact, deterministic heuristic or stochastic heuristic method) and evaluation criteria (to measure the performance of the model results). The review serves three goals. First, we provide an overview of recent developments in the literature regarding the application of quantitative models for HDR dose optimization. Second, the classification allows to indicate recent developments in relation to each criterion and as such, provides an effective overview for researchers who are interested in a particular perspective. Finally, we want to explore opportunities for these quantitative models. We end the paper by revealing the main shortcomings in the current models: a better adaptation of clinical requirements to the mathematical model formulation, and a focus on probabilistic planning.

Dose optimization in HDR brachytherapy: A literature review of quantitative models

The coordination of joint material flows is a key element in supply chain management. Although analytical models for the coordination of materials are of great practical value, literature analyzing them remains scarce. This article contributes to this gap by studying a generic supply chain model. The supply chain is assumed to have a single production facility that is supplied by two independent suppliers. The field of combinatorics serves as a means to derive exact results for important performance measures, and the results suggest insights related to several supply chain management principles.

Liesje De Boeck

Papers

Introducing autonomous vehicles in logistics: a review from a broad perspective

Analytical analysis of a generic assembly system

Optimizing the supply chain design for organ transplants

Dose optimization in HDR brachytherapy: A literature review of quantitative models

Proofs for ’Coordination and synchronization of material flows in supply chains: an analytical approach