Amelioration De La Maturite Des Entreprises En Gestion Des Risques Par La Maintenance

Statistics on accidents at work, particularly in Morocco, remain worryingly high. This situation raised a general awareness in the country and many decisions have been taken and corrective actions have been elaborated in order to enhance enterprise risk management maturity. This maturity is based on several key factors including maintenance.In this paper we propose a methodology to mitigate and control maintenance generated risks which in turn will allow enterprises to enhance their maturity in risk management

How stochasticity and emergencies disrupt the surgical schedule

In health care system, the operating theatre is recognized as having an important role, notably in terms of generated income and cost. Its management, and in particular its scheduling, is thus a critical activity, and has been the sub ject of many studies. However, the stochasticity of the operating theatre environment is rarely considered while it has considerable effect on the actual working of a surgical unit. In practice, the planners keep a safety margin, let’s say 15% of the capacity, in order to absorb the effect of unpredictable events. However, this safety margin is most often chosen sub jectively, from experience. In this paper, our goal is to rationalize this process. We want to give insights to managers in order to deal with the stochasticity of their environment, at a tactical–strategic decision level. For this, we propose an analytical approach that takes account of the stochastic operating times as well as the disruptions caused by emergency arrivals. From our model, various performance measures can be computed: the emergency disruption rate, the waiting time for an emergency, the distribution of the working time, the probability of overtime, the average overtime, etc. In particular, our tool is able to tell how many operations can be scheduled per day in order to keep the overtime limited.health care, surgical schedule, emergencies, Markov chain.

La mutualisation des ressources dans les supply chains.

Cycle de Séminaires Ecole Centrale Casablanca. La mutualisation des ressources dans les supply chains. Partie 1: La mutualisation des ressources pour la gestion de la logistique urbaine. Partie 2: Optimisation des tournées de véhicules et gestion intégrée des stocks partagé

A Matheuristic for Solving Inventory Sharing Problems : A corrigendum to experimental results

This document provides a correction of some of values reported in the appendix of our article entitled “A Matheuristic for Solving Inventory Sharing Problems” (Computers & Opera- tions Research, Volume 138, 2022, 105605, ISSN 0305-0548, https://doi.org/10.1016/j.cor.2021. 105605). The correction only concerns the results of the experiments performed on the bench- mark of large instances generated for the single and multi-vehicle inventory routing problem. All tables are presented along with the corrected values

Tailoring hyper-heuristics to specific instances of a scheduling problem using affinity and competence functions

Hyper-heuristics are high level heuristics which coordinate lower level ones to solve a given problem. Low level heuristics, however, are not all as competent/good as each other at solving the given problem and some do not work together as well as others. Hence the idea of measuring how good they are (competence) at solving the problem and how well they work together (their affinity). Models of the affinity and competence properties are suggested and evaluated using previous information on the performance of the simple low level heuristics. The resulting model values are used to improve the performance of the hyper-heuristic by tailoring it not only to the specific problem but the specific instance being solved. The test case is a hard combinatorial problem, namely the Hybrid Flow Shop scheduling problem. Numerical results on randomly generated as well as real-world instances are included

The inventory-routing problem of returnable transport items with time windows and simultaneous pickup and delivery in closed-loop supply chains

Reducing environmental impact, related regulations and potential for operational benefits are the main reasons why companies share their returnable transport items (RTIs) among the different partners of a closed-loop supply chain. In this paper, we consider a producer, located at a depot, who has to distribute his products packed in RTIs to a set of customers. Customers define a time window wherein the service can begin. The producer is also in charge of the collection of empty RTIs for reuse in the next production cycle. Each partner has a storage area composed of both empty and loaded RTI stock, as characterized by initial levels and maximum storage capacity. As deliveries and returns are performed by a homogeneous fleet of vehicles that can carry simultaneously empty and loaded RTIs, this research addresses a pickup and delivery inventory-routing problem within time windows (PDIRPTW) over a planning horizon. A mixed-integer linear program is developed and tested on small-scale instances. To handle more realistic large-scale problems, a cluster first-route second matheuristic is proposed

Supply chain issues and opportunities

Advances in the development of new information and communication technologies coupled with the fierce competition have a deep impact on the development and positioning of current companies on international market places. To respond to the market changing conditions, firms have to rethink the layout of their supply chain, the management of their logistic systems and the development of partnership relations with their suppliers and customers. A firm can thus no longer be considered as an isolated entity but as a component of a wider supply network. Both academics and industrialists have been interested by different issues of this thematic. The International conference on Industrial Engineering and Production Management IEPM03, May 2003, Porto, focused on specific issues of the global supply chain with a special emphasis on logistics management and optimization. Participants had the possibility to identify emerging industrial issues and research opportunities in the area of Supply Chain Management. The papers presented in this special edition of the journal were selected among the best contributions discussed at the IEPM conference. They present substantial advances in the research on the supply chain in a wide variety of contexts and applications

Integrating surgeons' preferences in the operating theatre planning

In healthcare systems, the operating theatre is recognised as having an important role, notably in terms of generated income and cost. Its management, and in particular its scheduling, is thus a critical activity. A less costly organisation of the operating rooms needs a more rational use of the resources, which requires optimising the surgical schedule. As we are concerned in the medical staff well-being, we integrate the surgeons' preferences when setting up such schedules. This planning process is usually decomposed in two sequential phases: a planning stage followed by a scheduling stage. Due to this decomposition the resulting solutions may turn out to be sub-optimal. This paper describes a mixed-integer programming that completely covers the planning and scheduling of the surgical operations. The pursued objective is twofold: minimising the operating cost and maximising the surgeons' welfare

Integrating surgeons' preferences in the operating theatre planning

In healthcare systems, the operating theatre is recognised as having an important role, notably in terms of generated income and cost. Its management, and in particular its scheduling, is thus a critical activity. A less costly organisation of the operating rooms needs a more rational use of the resources, which requires optimising the surgical schedule. As we are concerned in the medical staff well-being, we integrate the surgeons' preferences when setting up such schedules. This planning process is usually decomposed in two sequential phases: a planning stage followed by a scheduling stage. Due to this decomposition the resulting solutions may turn out to be sub-optimal. This paper describes a mixed-integer programming that completely covers the planning and scheduling of the surgical operations. The pursued objective is twofold: minimising the operating cost and maximising the surgeons' welfare. [Received 30 September 2008; Revised 29 May 2009; Revised 18 March 2010; Accepted 2 June 2010]scheduling; healthcare management; operating theatre planning; mixed-integer programming; actor preferences; operating theatres; surgery; surgical schedules; surgeon preferences; operating costs; surgeon welfare.