Author
Frédéric Grimaud
Other affiliations: Mines ParisTech, Mines Saint-Etienne, Ecole nationale supérieure des mines de Saint-Étienne ...read more
Bio: Frédéric Grimaud is an academic researcher from Centre national de la recherche scientifique. The author has contributed to research in topics: Multi-agent system & Integer programming. The author has an hindex of 7, co-authored 40 publications receiving 609 citations. Previous affiliations of Frédéric Grimaud include Mines ParisTech & Mines Saint-Etienne.
Papers
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TL;DR: Numerical results show that important gains can be realized by using a stochastic OR planning model and a Monte Carlo optimization method combining Monte Carlo simulation and Mixed Integer Programming is proposed.
348 citations
TL;DR: Several heuristic and meta-heuristic methods for elective surgery planning when operating room capacity is shared by elective and emergency surgery are proposed and compared.
154 citations
TL;DR: This article proposes a methodological approach based on the systemic and on the multi-agent concepts that authorizes the data-processing and modeling distributions of industrial system simulation.
34 citations
TL;DR: In this paper, a multi-product lot-sizing problem for a job shop controlled with a heijunka box is discussed, where demand is considered as a random variable with constant variation which must be absorbed by the manufacturing system, either by increased inventory or by flexi-bility in the production.
Abstract: Here we discuss a multi-product lot-sizing problem for a job shop controlled with a heijunka box. Demand is considered as a random variable with constant variation which must be absorbed somehow by the manufacturing system, either by increased inventory or by flexi- bility in the production. When a heijunka concept (production leveling) is used, fluctuations in customer orders are not transferred directly to the manufacturing system allowing for a smoother production and better production capacity utilization. The problem rather is to determine a tradeoff between the variability in the production line capacity requirement and the inventory level.
24 citations
TL;DR: A memetic algorithm is proposed for this second sub-problem of stochastic multi-product sequencing and lot-sizing and can be efficiently used for large scale industrial instances.
19 citations
Cited by
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TL;DR: A diversified and detailed overview of recent operational research on operating room planning and scheduling is obtained that facilitates the identification of manuscripts related to the reader's specific interests.
1,099 citations
TL;DR: A stochastic optimization approach for the storage and distribution problem of medical supplies to be used for disaster management under a wide variety of possible disaster types and magnitudes and can aid interdisciplinary agencies to both prepare and respond to disasters by considering the risk in an efficient manner.
623 citations
TL;DR: An update review on the recent achievements in implementing agent-based manufacturing systems such as agent encapsulation, agent organization, agent coordination and negotiation, system dynamics, learning, optimization, security and privacy, tools and standards is provided.
560 citations
TL;DR: The main aim of this paper is to provide a structured literature review on how Operational Research can be applied to the surgical planning and scheduling processes, with particular attention on the published papers that present the most interesting mathematical models and solution approaches developed to address the problems arising in operating theatres.
Abstract: Operating theatre represents one of the most critical and expensive hospital resources since a high percentage of the hospital admissions is due to surgical interventions. The main objectives are to guarantee the optimal utilization of medical resources, the delivery of surgery at the right time, the maximisation of profitability (i.e., patient flow) without incurring additional costs or excessive patient waiting time. The operating theatre management is a process very complex: the use of mathematical and simulation models, and quantitative techniques plays, thus a crucial role. The main aim of this paper is to provide a structured literature review on how Operational Research can be applied to the surgical planning and scheduling processes. A particular attention is on the published papers that present the most interesting mathematical (optimization and simulation) models and solution approaches developed to address the problems arising in operating theatres. Directions for future researches are also highlighted.
480 citations
TL;DR: A comprehensive overview of the typical decisions to be made in resource capacity planning and control in health care, and a structured review of relevant articles from the field of Operations Research and Management Sciences (OR/MS) for each planning decision.
Abstract: We provide a comprehensive overview of the typical decisions to be made in resource capacity planning and control in health care, and a structured review of relevant articles from the field of Operations Research and Management Sciences (OR/MS) for each planning decision. The contribution of this paper is twofold. First, to position the planning decisions, a taxonomy is presented. This taxonomy provides health care managers and OR/MS researchers with a method to identify, break down and classify planning and control decisions. Second, following the taxonomy, for six health care services, we provide an exhaustive specification of planning and control decisions in resource capacity planning and control. For each planning and control decision, we structurally review the key OR/MS articles and the OR/MS methods and techniques that are applied in the literature to support decision making.
357 citations