Nacima Labadie

• Phd
• Professor (Full) at University of Technology of Troyes

The blood supply chain is complex and subject to uncertain supply and demand. This paper proposes a system dynamics model that considers the correlation between the supply of different blood products. The model evaluates the long-term effect of disturbances on the shortage and wastage levels of blood. The real case of Bogota (Colombia) is used for...

This study addresses the two-echelon vehicle routing problem with grey zones and Customer-to-Parcel (C2P) stations. This problem arises in the search for new sustainable delivery schemes for e-commerce and last-mile distribution in urban areas and aims at reducing last-mile transportation costs. This study proposes a literature review on the subjec...

Some research claims that the cultural features of people may have a major impact on driving behavior and can play a serious role in the driving safety. Indeed, unlike machines that follow the instructions strictly, drivers have their own will and may disobey; they sometimes do things completely opposite to the instructions given by the central veh...

This paper studies a multi-trip routing problem of a shuttle fleet to transport blood units from collection sites to a blood center. In this problem, the blood units intended to produce platelets and cryoprecipitate must be processed within eight hours from their donation and arrive at the blood center at a time less than its closing time to guaran...

Home Healthcare (HHC) is an emerging and fast-expanding service sector that gives rise to challenging vehicle routing and scheduling problems. Each day, HHC structures must schedule the visits of caregivers to patients requiring specific medical and paramedical services at home. These operations have the potential to be unsuitable if the visits are...

The management of the blood supply chain is considered of vital importance. The unavailability of blood may cause deaths and complications for patients. Conversely, wastage of blood generates high costs. Optimal decision making in the supply chain of blood products is required to minimize the levels of shortage and wastage. Due to the complexity an...

Collaboration in transportation activities is becoming more and more important in urban last-mile logistics. This growing interest is not only motivated by transportation cost reduction and load capability improvements, but also by customer service level and stakeholder coordination enhancement. In this paper we tackle the Shared Customer Collabora...

This paper focuses on coupling of simulation and optimization techniques, both representing an integrated part of modern design and decision-making support tools in management sciences, industry, and engineering. After revealing the different possible connotations of the concept of simulation optimization coupling, we explicitly describe the integr...

Purpose From temporary need of help for household chores after a short stay at the hospital to complex healthcare due to chronic conditions, an important number of professional caregivers belonging to different organizations are involved in providing help and healthcare services at home. Despite the well-defined role of each professional, these org...

The vehicle routing problem with stochastic travel and service times is a variant of vehicle routing problem where travel and service times are modeled as random variables. This paper addresses a version with hard time windows which is tackled by a mixed stochastic program with recourse and chance constraints. The recourse policy aims to deal with...

The mobile collection system of blood products is considered in this study. Blood centers often use bloodmobiles that park near crowded places where donors can donate blood directly. We propose the use of additional vehicles, called shuttles, that pick up the collected blood by the bloodmobiles. Hence, bloodmobiles can continue their tours without...

This article deals with the Vehicle Routing Problem with Stochastic Demands. To solve this problem, a hybrid metaheuristic combining a Memetic Algorithm and Greedy Randomized Adaptive Search Procedure is designed. The developed approach is tested on a 40 instances benchmark. The results are validated by comparing them to state of the art metaheuris...

Given a weighted undirected graph, this paper focuses on the sampling problem of uniquely recovering Paley–Wiener functions from a sampled set of vertices. In accordance with the measures of connectivity introduced by Pesenson [30], we address two optimization problems related to discrete sampling on graphs via the so-called uniqueness sets, namely...

Wind energy has become an important source of energy in the last years, proven to be an alternative to fossil power production. The advances in technology have allowed to exploit this resource in new environments. While offshore wind farms projects are growing at important rates, onshore farms are still the main contributors of this energy source....

Biofuels derived from biomass can play a crucial role as one of the main sources of renewable energies. As logistics may represent up to 50% of biomass cost, it is necessary to design efficient biomass supply chains to provide bio-refineries with adequate quantities of biomass at reasonable prices and appropriate times. The task is challenging sinc...

A growing number of researchers are attracted by the domain of bioenergies, due to the problems induced by greenhouse gas emissions and increasing energy demand. One possible way of producing biofuels in a renewable way is to use biomass, however the economic viability of a biorefinery system depends critically on the cost of its supplies. As bioma...

This paper presents a new model to solve the Vehicle Routing Problem with Time Windows and Stochastic Travel and Service Times. The model allows ensuring service levels at the solution, on depot’s time window, and at each client. The problem is solved via a Multi Population Memetic Algorithm where each population tackles the problem using a differe...

Due to the effect of greenhouse gas emissions and increasing energy demand, consumption of more sustainable and renewable energies has increased. Biofuels derived from biomass can play a key-role nowadays as one of the main sources of renewable energies. Therefore, more and more researchers have been involved in modeling and optimizing biomass supp...

Efficient use of resources while ensuring quality services points the attention of Home Health Care structures (HHC). HHC structures propose keeping at home patients who do not necessarily need full hospitalization, and enabling people who suffered serious illnesses to follow the care from their own home. Habitually, asked services have to be perfo...

Given the evolution in the agricultural sector and the new challenges it faces, managing agricultural supply chains efficiently has become an attractive topic for researchers and practitioners. Against this background, the integration of uncertain aspects has continuously gained importance for managerial decision making since it can lead to an incr...

In practice, production planning and inventory control, both managed in the assembly systems framework, are often subject to various sources of exogenous uncertainty. In this regard, the present paper focuses on a single-level multi-component inventory control problem for the assembly systems replenishment under stochastic component procurement lea...

This book is dedicated to metaheuristics as applied to vehicle routing problems. Several implementations are given as illustrative examples, along with applications to several typical vehicle routing problems. As a first step, a general presentation intends to make the reader more familiar with the related field of logistics and combinatorial optim...

Simple heuristics and local search procedures are important components of metaheuristics for vehicle routing problems (VRP). This chapter presents a few classical heuristics before explaining the principles of local search, taking the capacitated VRP (CVRP) as the main example. Many constructive methods for the CVRP are obtained by modifying a trav...

This chapter introduces what the logistics management and the combinatorial optimization are, before giving a formal definition of the capacitated vehicle routing problems (CVRP). Metaheuristics are mainly developed for real-world problems, which often attain notably high levels of complexity, although they are not able to certify the optimality of...

This chapter describes metaheuristics evolving a set of solutions and generating new solutions by either combining existing ones or by making them cooperate through a learning process for vehicle routing problems. It presents distinguished population-based approaches, which combine solutions selected from a population stored in memory from swarm me...

Research in metaheuristics for combinatorial optimization problems, and thus for vehicle routing problems (VRP), significantly shifts toward a trend of hybridization. This chapter illustrates the main approaches that can be used to design hybrid metaheuristics either by combining only heuristics methods or by associating exact and heuristic paradig...

This chapter presents the main metaheuristics working on a sequence of solutions, and their applications on vehicle routing problems (VRP). Eight metaheuristics generating a sequence of solutions include simulated annealing (SA), greedy randomized adaptive search procedure (GRASP), Tabu search (TS), variable neighborhood search (VNS), iterated loca...

For many environmental monitoring applications, a faithful mapping of a spatio-temporal phenomena expanded over a physical limited location represents a primordial task. Recent years have witnessed a remarkable expansion of signal processing on graphs. Researches in this emerging domain attracts more and more interest, especially when Operations Re...

In the field of Home Health Care (HHC), the vehicle routing problem with time windows, synchronization, and precedence constraints (VRPTW-SP) involves finding the lowest-cost set of routes to visit patients requesting one or more services in a specific time window and during a fixed time service. Each patient has preference weights associated to th...

This work focuses on the problem of planning and scheduling maintenance operations for a set of geographically distributed machines, subject to non-deterministic failures with a set of technicians that perform preventive maintenance and repair operations on the machines at the customer sites within a specific time window. This study presents a two-...

This paper investigates a harvest-season level unbalanced panel data (PD) of farmers crop delivery for monitoring the gathering activity and for aiding to support reception and storage decisions making of an agricultural cooperative. To achieve these purposes, the fitting and the prediction of the daily farmers crop delivery quantities were realise...