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Marcon E.,CNRS Laboratory of Decision and Information for Production Systems | Chaabane S.,University of Valenciennes and Hainaut‑Cambresis | Sallez Y.,University of Valenciennes and Hainaut‑Cambresis | Bonte T.,University of Valenciennes and Hainaut‑Cambresis | Trentesaux D.,University of Valenciennes and Hainaut‑Cambresis
Simulation Modelling Practice and Theory | Year: 2017

Home Health Care (HHC) services are growing worldwide. HHC providers that employ their caregivers have to manage operational decisions such as assigning patients to caregivers and planning the caregivers’ routes. Centralized “off-line” approaches are generally used to deal with both these problems. In this paper, we solved the caregiver routing problem in a dynamic and distributed way using a Multi-agent system (MAS) to simulate caregiver behavior. Four decision rules were developed for the caregivers: NPR (Nearest Patient Rule), NRR (No-wait Route Rule), SRR (Shortest Route Rule), and BRR (Balanced Route Rule). These decision rules were implemented and tested on a multi-agent platform to assess their performances. We designed an experimental plan based on case studies that represent different sizes of HHC provider inspired from real-world examples. The results obtained show the relevance of using local decision rules to plan the caregiver's route. © 2017 Elsevier B.V.

Ladier A.-L.,CNRS Laboratory of Decision and Information for Production Systems | Alpan G.,University Grenoble Alpes | Alpan G.,French National Center for Scientific Research
Computers and Industrial Engineering | Year: 2016

Cross-docking is a logistic technique that helps to accelerate the goods flow and to reduce inventory costs; but it requires a perfect coordination of the inbound and outbound trucks. The truck scheduling problem has been studied by many authors, but mainly in a deterministic case. And yet, many uncertainties can arise in the process: if a truck is delayed, or the process times change, does the truck schedule remain feasible and stable? This article proposes robust models for the truck scheduling model with time windows. The reformulations of the original model are based on classical techniques in robust optimization (minimax and minimization of the expected regret) but also on techniques from robust project scheduling (resource redundancy and time redundancy). The numerical study carried out to compare the nine different models shows that the methods based on resource redundancy give good results in the cross-docking case. Minimizing the average number of trucks docked at a given door is a good way to ensure robustness in the schedule, but it also increases storage. © 2016 Elsevier Ltd

Baboli A.,CNRS Laboratory of Decision and Information for Production Systems | Okamoto J.,University of Sao Paulo | Tsuzuki M.S.G.,University of Sao Paulo | Martins T.C.,University of Sao Paulo | And 2 more authors.
IFAC Proceedings Volumes (IFAC-PapersOnline) | Year: 2015

The combination of multi-functional machines and mobile robots supports the emergence of highly flexible intelligent manufacturing systems (IMS). In this kind of manufacturing system, some machines must stay fixed at previously established positions (heavy equipment) but some types of multi-functional machines (small flexible equipment and mobile robots) can stay in one position for one or several periods and change their position for others periods, or change permanently their position in the shop floor. Moreover, using mobile robots allows performing transportation and operation simultaneously. This possibility may change the decision processes and manufacturing system configuration, calling into question the existing decision methods in strategic, tactical and operational levels. This paper concerns the spécifie production systems in which mobile robots operate in the same shop floor and at the same time with conventional and multi-functional machines and humans. This kind of production system is more sophisticated than conventional manufacturing chain (as cellular manufacturing system) and can decrease the reactivity time and new products can be quickly introduced (as for dynamic cellular manufacturing system). However, the configuration and optimization of this kind of system is very different from conventional production systems. In this paper, in one hand, the advantages of this kind of system and then several difficulties and challenges from operation management and industrial engineering point of view in configuration, organization, planning and optimization of IMS is discussed and developed. As a first step it is considered that localization is a key issue in the highly flexible intelligent manufacturing. Several approaches exist for outdoor localization, but indoor localization is an open problem. In this work, it is presented and discussed the highly flexible intelligent manufacturing system and the indoor localization. © 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

Sefiani N.,CNRS Laboratory of Decision and Information for Production Systems | Sefiani N.,Laboratoire Qualite Securite Maintenance LQSM | Boumane A.,CNRS Laboratory of Technology and Innovation | Campagne J.-P.,CNRS Laboratory of Decision and Information for Production Systems | Bouami D.,Laboratoire Qualite Securite Maintenance LQSM
21st International Conference on Production Research: Innovation in Product and Production, ICPR 2011 - Conference Proceedings | Year: 2011

In a turbulent and increasingly complex environment, the agility of the Supply Chain Management (SCM) is clearly identified as a key factor for success and a strategic essential lever. The objective of this work is to identify which human competencies are the most important factors of agility in Supply Chain Management (SCM). To do this, firstly, our proposal is based on a process approach and on the analysis of the real work situation. This analysis assumes that competence is a dynamic construction that can be grasped only by reference to an actor in a professional situation. Given the complexity of supply chain Management, we're limited to the identification of the competences required by the inbound logistics (planning and procurement) that occupy a prominent place in the chain. Finally, we present our approach of identifying the competences applied particularly to inbound logistics.

Boukherroub T.,CNRS Laboratory of Decision and Information for Production Systems | Ruiz A.,Laval University | Guinet A.,CNRS Laboratory of Decision and Information for Production Systems | Fondrevelle J.,CNRS Laboratory of Decision and Information for Production Systems
IFAC Proceedings Volumes (IFAC-PapersOnline) | Year: 2013

This paper proposes an integrated approach that embeds the economic, environmental and social performances in the planning activities of the supply chain (SC). The approach is applied on a realistic case study inspired by the lumber industry where divergent manufacturing processes and various cutting patterns are involved. We first identify the sustainability objectives to be measured. Then, we link these objectives to the SC decision planning. Next, we define performance measures to assess the achievement of each objective. This triptych-based approach is transposed to a multi-objective mathematical programming (MOP) that serves as a performance optimizing and assessing tool. The MOP models a tactical planning problem where the SC is represented as a network of activities. The problem is resolved using the weighted sum method. © IFAC.

Khader S.-A.,CNRS Laboratory of Decision and Information for Production Systems | Rekik Y.,CNRS Laboratory of Decision and Information for Production Systems | Botta-Genoulaz V.,CNRS Laboratory of Decision and Information for Production Systems | Campagne J.-P.,CNRS Laboratory of Decision and Information for Production Systems
Journal Europeen des Systemes Automatises | Year: 2014

Most inventory models studied in the scientific literature assume implicitly that the inventory position shown in the information system is equal to the actual physical stock used to satisfy the clients' demands. But empirical studies highlighted that errors and inventory perturbations may occur in the inventory system. Such errors influence directly the demand satisfaction in an e-retailer context. In this paper, we propose a replenishment model for two selling periods in order to optimize the e-retailer profit considering inventory inaccuracy, with a multiplicative modeling of inventory errors. We also deduce managerial insights for sharing the risks related to inaccuracies. © 2014 Lavoisier.

Chardine-Baumann E.,CNRS Laboratory of Decision and Information for Production Systems | Botta-Genoulaz V.,CNRS Laboratory of Decision and Information for Production Systems
Computers and Industrial Engineering | Year: 2014

The introduction of the concept of sustainable development in supply chain management has been identified not only as a constraint but also as a way to improve performance, impacting the competitiveness of a company and of its supply chain organization. To evaluate and analyze the potential relationships between traditional supply chain management practices and their impact on performance, we propose a framework for sustainable performance characterization and an analytical model for sustainable performance assessment. The framework is used to characterize a company's sustainable performance in the economic, environmental and social fields. The analytical assessment model, based on the relationships between a supply chain management practice and the three fields of sustainable development, serves to produce the sustainable performance profile of a practice, identified by a triad. An application of this profile to two well-known best practices of supply chain management allows us to identify their performance from a sustainable development point of view. Practitioners can easily use the proposed framework for highlighting SCM practices that impact sustainable performance more positively, depending on their objectives. © 2014 Elsevier Ltd. All rights reserved.

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