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Jacques Lamothe

Directeur recherche et innovation, Professeur
Présent : OUI
05 63 49 31 50
Bureau 0A12
Mots-clés : 
Gestion de production | Logistique
Axes : 
  • Axe 1 : IO

Publications significatives

  • 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
  • A supply chain performance analysis of a pull inspired supply strategy faced to demand uncertainties

    Références :
    Guillaume Marques, Jacques Lamothe, Caroline Thierry et Didier Gourc. « A supply chain performance analysis of a pull inspired supply strategy faced to demand uncertainties ». In : Journal of Intelligent Manufacturing 23.1 (févr. 2012). P. 91--108. ISSN : 0956-5515. DOI : 10.1007/s10845-009-0337-z.
    Vendor Managed Inventory (VMI) is currently seen as a short-term replenishment pull system. Moreover, VMI is usually synonymous with a distribution context and stable demand. However, industrial partners are faced with uncertainty in the context of a B to B relationship. Thus, an adaptation of the actors' planning processes is needed and the question is posed of the interest of VMI in a context of uncertain demand. The purpose of this paper is firstly to analyze the link between VMI and pull logic. Secondly, we explore the extension of VMI notions to the relationship between industrial partners and we confront VMI with uncertain demand in terms of trend, vision of the trend and variability in order to verify the usual stable demand assumption. We also present an integration of VMI into a simulation tool called LogiRisk that we have developed for the evaluation of risks of in supply chain collaboration policies, and a small case study.
    Keywords: conwip, determinants, integration, mrp, outcomes, Pull, replenishment, Risk, Simulation, system, Uncertainty, Vendor Managed Inventory, vendor-managed inventory, vmi
  • A review of Vendor Managed Inventory (VMI): from concept to processes

    Références :
    Guillaume Marques, Caroline Thierry, Jacques Lamothe et Didier Gourc. « A review of Vendor Managed Inventory (VMI): from concept to processes ». In : Production Planning & Control 21.6 (2010). P. 547--561. ISSN : 0953-7287. DOI : 10.1080/09537287.2010.488937.
    In the modern supplier-customer relationship, Vendor Managed Inventory (VMI) is used to monitor the customer's inventory replenishment. Despite the large amount of literature on the subject, it is difficult to clearly define VMI and the main associated processes. Beyond the short-term pull system inventory replenishment often studied in academic works, partners have to share their vision of the demand, their requirements and their constraints in order to fix shared objectives for the medium/long-term. In other words, the integration of VMI implies consequences for the collaborative process that links each partner's different planning processes. In this article we propose a literature review of VMI. Based on the conceptual elements extracted from this analysis, we suggest a VMI macro-process that summarises both operational and collaborative elements of VMI.
    Keywords: collaboration, determinants, impact, information, model, operating parameters, optimization, replenishment, Risk, supply chain, supply chain management, system, Vendor Managed Inventory
  • An optimization model for selecting a product family and designing its supply chain

    Références :
    Jacques Lamothe, Khaled Hadj-Hamou et Michel Aldanondo. « An optimization model for selecting a product family and designing its supply chain ». In : European Journal of Operational Research 169.3 (16 mars 2006). P. 1030--1047. ISSN : 0377-2217. DOI : 10.1016/j.ejor.2005.02.007.
    When designing a new family of products, designers and manufacturers must define the product family and its supply chain simultaneously. At the very first step of the design process, designers propose various solutions for the set of variants of a product family and their bill-of-materials. The second step is to select some of these variants while choosing the architecture of the supply chain. A mixed integer linear programming model is investigated that optimizes the operating cost of the resulting supply chain while choosing the product variants. This work is applied to the problem of an automotive supplier. (c) 2005 Elsevier B.V. All rights reserved.
    Keywords: management, mixed integer linear programming (MILP), product family design, supply chain design, supply chain management, system
  • Re-planning support system for make-to-order production with reserved resources

    Références :
    Caroline Thierry, Jacques Lamothe et Vincent Galvagnon. « Re-planning support system for make-to-order production with reserved resources ». In : International Journal of Production Research 42.23 (1er déc. 2004). P. 4993--5008. ISSN : 0020-7543. DOI : 10.1080/00207540412331282042.
    Make-to-order production is often organized into projects with their own objectives. Such projects use strategic and critical resources that must be reserved at a strategic or a tactical planning level. When external resources need to be taken into consideration, they must be reserved based on their set of free time windows. A medium-term planning support system for the manager of a project where external resources are critical is proposed. By providing explanations for project inconsistencies, this system enables the decision-maker to restore consistency. After creating the initial medium-term plan, planning activity essentially consists in updating the existing schedule of a project when unexpected events arise. These may be due to internal or external disturbances. Indicators are proposed to help the manager follow the dynamic impact the disturbances will have on the project.
    Keywords: constraints, critical-path, models
  • Mass customization and configuration: Requirement analysis and constraint based modeling propositions

    Références :
    The purpose of this paper is, on the one hand, to identify to define and classify customization requirements and, on the other hand, to evaluate how generic modeling and configuration assistance within the Constraint Satisfaction Problem (CSP) framework can fulfil the requirements. The aim is to provide commercial configurator knowledge base designers with constraint based generic modeling elements for customizable industrial product. A first part recalls the main trends of the configuration problem. In a second part divided in four sections corresponding with different requirement set; each section proposes a definition of the requirement set, some CSP based modeling elements and a discussion about adequacy of relevant configuration assistance techniques.
  • Handling soft constraints in hoist scheduling problems: the fuzzy approach

    Références :
    Hélène Fargier et Jacques Lamothe. « Handling soft constraints in hoist scheduling problems: the fuzzy approach ». In : Engineering Applications of Artificial Intelligence 14.3 (juin 2001). P. 387--399. ISSN : 0952-1976. DOI : 10.1016/S0952-1976(01)00008-2.
    The Hoist Scheduling Problem (HSP) deals with the scheduling of hoists that move products between tanks in electroplating facilities that perform chemical surface treatments. In HSP, the gradual effect of soaking times (operation duration in tanks) on the quality of treatment can be represented by means of fuzzy sets: the satisfaction degree in a fuzzy interval models a quality evaluation of the chemical treatment. When temporal bounds are required, an implicit relaxation of these flexible constraints can thus be performed so as to meet the due-date. When the objective is rather a minimization of the makespan, a bi-criteria decision problem has to be dealt with that involves both the quality and the line throughput optimization. Rather than an aggregation of the two evaluations under the form of a single criterion, we propose a decision-support approach that quickly converges to a good trade-off between the two criteria. (C) 2001 Elsevier Science Ltd. All rights reserved.
    Keywords: due-dates, fuzzy constraints, fuzzy logic, Heuristics, Hoist scheduling, line, search algorithms, systems

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