Jacques Lamothe

Dr. Jacques Lamothe


Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2010 in Production Planning & Control
Verified
Journal Article
Closed access
GMGuillaume Marquès
Guillaume Marquès
CTCaroline Thierry
Caroline Thierry
JLJacques Lamothe
Jacques Lamothe
DGDidier Gourc
Didier Gourc
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.

1 March 2006 in European Journal of Operational Research
Verified
Journal Article
Closed access
JLJacques Lamothe
Jacques Lamothe
KHKhaled Hadj-Hamou
Khaled Hadj-Hamou
MAMichel Aldanondo
Michel Aldanondo

21 May 2003 in Integrated Computer-Aided Engineering
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Journal Article
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MAMichel Aldanondo
Michel Aldanondo
KHKhaled Hadj-Hamou
Khaled Hadj-Hamou
GMGuillaume Moynard
Guillaume Moynard
JLJacques Lamothe
Jacques Lamothe
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) framew

1 June 2012 in Computers & Operations Research
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Journal Article
Closed access
JLJacques Lamothe
Jacques Lamothe
FMFrancois Marmier
Francois Marmier
MDMatthieu Dupuy
Matthieu Dupuy
PGPaul Gaborit
Paul Gaborit
LDLionel Dupont
Lionel Dupont

1 June 2012
Verified
Conference Paper
Closed access
GRG. Mace Ramete
G. Mace Ramete
JLJacques Lamothe
Jacques Lamothe
MLM. Lauras
M. Lauras
FBFrédérick Benaben
Frédérick Benaben
During the winter, snowfalls may occur, producing potential problems for traffic management. These road crises might be reduced setting up a collaborative network of heterogeneous actors aiming to solve this critical situation. Because crises deal with a lot of information, an Information Decision Support System might be deployed. Our point of view is to design it through a Model-Driven Engineering (MDE). Thus, an unavoidable issue for designing such an IDSS concerns knowledge management. This paper aims at presenting and defining a Metamodel dealing with specific road crisis situations. This is the first result of the French project SIM-PeTra.

1 October 2015
Verified
Conference Paper
Closed access
RMRomain Miclo
Romain Miclo
FFFranck Fontanili
Franck Fontanili
MLMatthieu Lauras
Matthieu Lauras
JLJacques Lamothe
Jacques Lamothe
BMBernard Milian
Bernard Milian
The Demand-Driven MRP (DDMRP) is a recent method focusing on manufacturing and distribution flows that is supposed to manage uncertainties better than traditional Manufacturing Resources Planning (MRP). Nevertheless, this assertion has never been scientifically demonstrated. In this paper, a case study is investigated in order to objectively and quantitatively compare these two systems. A Discrete-Event Simulation (DES) approach is used to evaluate the impacts on systems behaviours regarding both management methods. The final goal of our work research is to objectivise the reality of the DDMRP benefits.