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Lionel Dupont

Présent : NON
05 63 49 32 62
Bureau 0A12
Mots-clés : 
Optimisation | Localisation | Logistique
Axes : 
  • Axe 1 : IO

Publications significatives

  • A decision support system for robust humanitarian facility location

    Références :
    Jorge Vargas Florez, Matthieu Lauras, Uche Okongwu et Lionel Dupont. « A decision support system for robust humanitarian facility location ». In : Engineering Applications of Artificial Intelligence 46, Part B (nov. 2015). P. 326--335. ISSN : 0952-1976. DOI : 10.1016/j.engappai.2015.06.020.
    Each year, more than 400 natural disasters hit the world. To be more responsive, humanitarians organize stocks of relief items. It is an issue to know the quantity of items to be stored and where they should be positioned. Many authors have tried to address this issue both in industrial and humanitarian environments. However, humanitarian supply chains today do not perform correctly, particularly as regards resilience and efficiency. This is mainly due to the fact that when a disaster occurs, some hazards can strongly impact the network by destroying some resources or collapsing infrastructure. The expected performance of the relief response is consequently strongly decreased. The problem statement of our research work consists in proposing a decision-making support model in artificial intelligence dedicated to the humanitarian world and capable of designing a coherent network that is still able to adequately manage the response to a disaster despite failures or inadequacies of infrastructure and potential resources. This contribution is defined through a Stochastic Multi-Scenarios Program as a core and a set of extensions. A real-life application case based on the design of a humanitarian supply chain in Peru is developed in order to highlight the benefits and limits of the proposition.
    Keywords: efficiency, Facility location, Humanitarian supply chain, Pre-positioning, Resilience, Stochastic Multi-Scenarios Program
  • Optimization of a supply portfolio in the context of supply chain risk management: literature review

    Références :
    Faiza Hamdi, Ahmed Ghorbel, Faouzi Masmoudi et Lionel Dupont. « Optimization of a supply portfolio in the context of supply chain risk management: literature review ». In : Journal of Intelligent Manufacturing (31 juil. 2015). P. 1--26. ISSN : 0956-5515, 1572-8145. DOI : 10.1007/s10845-015-1128-3.
    The aim of this paper is to review the literature in the field of supplier selection under supply chain risk management. Collected papers from 2003 to 2014 are analyzed and classified, first, according to the characteristics of the problem they deal with, secondly, according to the approach they propose, and thirdly, according to the techniques they use. The papers have been grouped into five categories: the first group relates to quantitative approaches to supplier selection, the second concerns qualitative approaches, the third consists of hybrid approaches that blend two or more different approaches together, the fourth relates to simulation approaches and the last group to artificial intelligence. The techniques used in each category are outlined. The different approaches and their associated techniques are analyzed and some recommendations are made on improving their efficiency and performance. This paper is thus a systematic scope review of journal articles and conference papers issued during this period. It brings together a collection of 124 papers on the topic of supplier selection under supply chain risk management.
    Keywords: Control, Robotics, Mechatronics, Hybrid approach, Manufacturing, Machines, Tools, Optimization of a supply portfolio, Production/Logistics/Supply Chain, Qualitative approaches, Quantitaive approaches, Simulation approach, Supply chain risk management
  • A decision support system for optimising the order fulfilment process

    Références :
    Uche Okongwu, Matthieu Lauras, Lionel Dupont et Vérane Humez. « A decision support system for optimising the order fulfilment process ». In : Production Planning & Control 23.8 (2012). P. 581--598. ISSN : 0953-7287. DOI : 10.1080/09537287.2011.566230.
    Many authors have highlighted gaps at the interfaces between supply chains (SCs) and demand chains. Generally, the latter tends primarily to be 'agile' by maximising effectiveness and responsiveness while the former tends to be 'lean' by maximising efficiency. When, in the SC, disruptions (that lead to stock-out situations) occur after customer orders have been accepted, managers are faced with the problem of maximising customer satisfaction while taking into consideration the conflicting objectives of the supply and demand sides of the order fulfilment process. This article proposes a cross-functional multi-criteria decision-making (advanced available-to-promise) tool that provides different strategic options from which a solution can be chosen. It also proposes a performance measurement system to support the decision-making and improvement process. The results of some experimental tests show that the model enables to make strategic decisions on the degree of flexibility required to achieve the desired level of customer service.
    Keywords: Advanced available-to-promise, agility, Demand chain, Lean, Order fulfilment process, Supply chain
  • Scheduling rules to minimize total tardiness in a parallel machine problem with setup and calendar constraints

    Références :
    Jacques Lamothe, François Marmier, Matthieu Dupuy, Paul Gaborit et Lionel Dupont. « Scheduling rules to minimize total tardiness in a parallel machine problem with setup and calendar constraints ». In : Computers & Operations Research 39.6 (juin 2012). P. 1236--1244. ISSN : 0305-0548. DOI : 10.1016/j.cor.2010.07.007.
    Quality control lead times are one of most significant causes of loss of time in the pharmaceutical and cosmetics industries. This is partly due to the organization of laboratories that feature parallel multipurpose machines for chromatographic analyses. The testing process requires long setup times and operators are needed to launch the process. The various controls are non-preemptive and are characterized by a release date, a due date and available routings. These quality processes lead to significant delays, and we therefore evaluate the total tardiness criterion. Previous heuristics were defined for the total tardiness criterion, parallel machines, and setup such as apparent tardiness cost (ATC) and ATC with setups (ATCS). We propose new rules and a simulated annealing procedure in order to minimize total tardiness. (C) 2010 Elsevier Ltd. All rights reserved.
    Keywords: algorithms, costs, Heuristics, jobs, Parallel machine, Scheduling, sequence, Simulated annealing, times, total weighted tardiness
  • Branch and bound algorithm for a facility location problem with concave site dependent costs

    Références :
    Lionel Dupont. « Branch and bound algorithm for a facility location problem with concave site dependent costs ». In : International Journal of Production Economics 112.1 (mars 2008). P. 245--254. ISSN : 0925-5273. DOI : 10.1016/j.ijpe.2007.04.001.
    The purpose of facility location models is to select a set of facilities (warehouses, plants, public facilities, antennas, etc.) to be implanted over a given area in order to satisfy the needs of all or part of the customers within this area. In this paper, the objective is to minimize the sum of the costs of investment, production and distribution while satisfying all customers' demands. We introduce a new type of facility location model, in which the global cost incurred for each established facility is a concave function of the quantity q delivered by this facility. We introduce some properties of an optimal solution and derive heuristic algorithms and a branch and bound method from these properties. Numerical examples illustrate this approach. (c) 2007 Elsevier B.V. All rights reserved.
    Keywords: branch and bound, concave cost, dual-based procedure, facility location problem, Heuristics, neural networks, plant, tabu search, warehouse location

Projets associés


    Débuté le : 01/01/2013 Fini le : 31/07/2016
    L'objectif du projet C.R.I.B.A., déposé avec le centre Rapsodee, vise à démontrer la faisabilité d’une solution industrielle globale pour la rénovation de bâtiments d’habitation collectifs datant des années 1960/1970, à très haute performance énergétique (BEPOS) dans des coûts maîtrisés. L’idée est d’isoler ces bâtiments par l’extérieur afin d’améliorer de manière significative leur performance énergétique. De nombreuses entreprises sont déjà sur ce créneau, mais le plus souvent de manière très artisanale.