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Lejeune A.,FEMTO ST Institute | Bechet F.,University of Valenciennes and Hainaut‑Cambresis | Boudaoud H.,CNRS Research team on Innovative Processes | Mathieu N.,CNRS Study of Microstructures, Mechanics and Material Sciences lab | Potier-Ferry M.,CNRS Study of Microstructures, Mechanics and Material Sciences lab
Advances in Engineering Software | Year: 2012

The Manitoo library is devoted to the resolution of analytical non-linear problems using a high order method called asymptotic numerical method. We describe here the Object Oriented design of this library and especially the choices made to obtain a quite generic and flexible numerical solver. Through classical examples, we present a comparison with some existing tools implemented in Matlab and Fortran 77. © 2012 Elsevier Ltd. All rights reserved.


Belkadi F.,Compiègne University of Technology | Bonjour E.,CNRS Research team on Innovative Processes | Camargo M.,CNRS Research team on Innovative Processes | Troussier N.,Compiègne University of Technology | Eynard B.,Compiègne University of Technology
International Journal of Human Computer Studies | Year: 2013

The concept of awareness was introduced to underline the importance of shared knowledge and enhance collaborative work. Actors require much knowledge about their work situation and their collaborators activities in order to complete their own activities successfully. This paper first contributes to a detailed literature review about the concept of awareness. This review helps to identify key awareness-related requirements for the development of collaborative systems. The second contribution is related to the proposal of a generic situation model that is based on the concept of entities, interactions and specific roles. This new conceptual framework intends to favor situation awareness and support shared representations. It concerns both technical and organizational design activities and describes the collaborative situations from multiple views and at different organizational levels (project, team and individual). The proposal's interest and its feasibility for use in the development of collaborative systems are demonstrated by instances related to a case study and by analyzing the potential satisfaction of the identified awareness-related requirements. To sum up, the paper offers a synthesis of key context-related concepts and a generic model for the representation of collaborative situations to increase awareness. © 2012 Elsevier Ltd.


Garces G.A.,CNRS Research team on Innovative Processes | Bonjour E.,CNRS Research team on Innovative Processes | Rakotondranaivo A.,CNRS Research team on Innovative Processes
IFAC-PapersOnLine | Year: 2016

Evaluating and improving product acceptability is an important step to minimize the risk of a new product not being accepted. Existing approaches do not integrate any acceptability evaluation during the New Product Development process (NPD). They do not make it possible to evaluate different improvement scenarios built from experts knowledge or past projects experiences. This paper proposes a method that evaluates and improves product acceptability by allowing the project manager to find out an improvement scenario. The proposed method is based on the evaluation of the users’ concept perception. It exploits the inference properties of Bayesian networks (BN) allowing to make useful estimations of improvement scenarios. Furthermore, those scenarios are composed of actions that enable to improve different dimensions of users’ acceptability. The modeled actions are stocked in a knowledge base allowing this knowledge to be reused in other projects. The method is applied to the design case of a medical-stocking threading device in order to illustrate its interest. © 2016


Galvez D.,CNRS Research team on Innovative Processes | Rakotondranaivo A.,CNRS Research team on Innovative Processes | Morel L.,CNRS Research team on Innovative Processes | Camargo M.,CNRS Research team on Innovative Processes | Fick M.,University of Lorraine
Journal of Manufacturing Systems | Year: 2015

Among sustainable energy production processes, methanation (anaerobic co-digestion) has a high potential to valorize organic residual waste by exploiting its energetic capacities in the form of biogas. Nevertheless, at the early stage of the project, decisions must be made concerning the network used to supply biomass to the anaerobic co-digestion facility. However, these decisions involve complex hierarchical processes, taking into account the best compromise to be found among diverse factors and actors (economic, social, environmental, etc.). In this article a systematic approach integrating Mixed Integer Linear Programming (MILP) optimization and Analytical Hierarchical Process is proposed. It will allow project managers to evaluate possible scenarios for the implementation of an anaerobic co-digestion logistics network in order to facilitate the integration of the preferences of the stakeholders involved in the project. The approach proposed is then illustrated by the design of a municipal biogas facility in Nancy, France. © 2015 The Society of Manufacturing Engineers.


Arbelaez Garces G.,CNRS Research team on Innovative Processes | Rakotondranaivo A.,CNRS Research team on Innovative Processes | Bonjour E.,CNRS Research team on Innovative Processes
International Journal of Production Research | Year: 2016

Developing products that are properly suited to users’ needs and preferences in order to be accepted is one of the main challenges designers and engineers face constantly. Evaluating and improving users’ product acceptability has become an important research question. Many approaches leave the acceptability evaluation question for the last phases of the New Product Development process (NPD), when an almost finished prototype is available and when there is no time left for important modifications. In the early phase of the NPD process, the project managers need models and methods to evaluate the potential acceptability of the new concept and if required, to define actions to improve this concept. In this paper, a method with two main goals is proposed to tackle this problem. Its first goal consists in evaluating an index of users’ product acceptability. When this index is too low, the second goal concerns the optimal selection of the most appropriate actions (improvement scenario) to increase this previously assessed index and to optimise the supplementary cost. As information collected from users in the early phase is subject to uncertainty, the proposed method exploits the inference properties of Bayesian networks making it possible to make useful estimations of the acceptability index. Furthermore, the improvement scenarios are composed of actions that make it possible to improve different criteria composing the users’ acceptability index. The improvement problem is formulated as an optimisation problem to be solved by a simulated annealing algorithm. In order to illustrate its interest, the proposed method is applied to a real case concerning the design of a medical-stocking threading device. © 2016 Taylor & Francis


Arbelaez Garces G.,CNRS Research team on Innovative Processes | Rakotondranaivo A.,CNRS Research team on Innovative Processes | Bonjour E.,CNRS Research team on Innovative Processes
International Journal of Industrial Ergonomics | Year: 2016

As companies are forced to conceive innovative products to stay competitive, designers face the challenge of developing products more suited to users' needs and perceptions in order to be accepted, thus reducing project risk failure. Evaluating users' acceptability has become an important research problem. Current approaches leave the acceptance evaluation question to be answered in the last stages of product development process (NPD), when an almost finished prototype is available and when there is no time left for important modifications. Acceptability evaluation methods suitable for use from the early stages of the NPD process are thus needed. This paper proposes a method for acceptability evaluation and analysis that can be used in the early stages of the development cycle. It is based on the evaluation of the solution concept by the users. The relationships among the factors (or criteria) are made explicit, thus helping designers to identify the key factors for acceptance. As the users' tests and the maturity of the concept prototype are limited in this stage, the proposed method exploits the inference properties of Bayesian networks making it possible to make useful estimations and allowing the exploration of actions that could improve the product acceptability level. Two case studies are presented in order to illustrate the method, the first related to a technological product design for a home-health care service provider and the second to a work-related musculoskeletal disorder prevention software design. Relevance to industry: The article describes an acceptability assessment and an analysis approach to be used by industrial engineers, designers and ergonomists in the early phases of design projects. The method can help the design team to identify the levers (key factors) for enhancing product acceptance and to identify different actions (e.g. product modification, deployment strategy, and training). © 2016 Elsevier B.V.


Boly V.,CNRS Research team on Innovative Processes | Morel L.,CNRS Research team on Innovative Processes | Assielou N.G.,Nangui Abrogoua University | Camargo M.,CNRS Research team on Innovative Processes
Research Policy | Year: 2014

Measuring innovation processes is a major concern for academics and firm managers. This study proposes an innovation capacity (IC) measure framework based on a set of 15 innovation management practices. Every practice is subdivided into multiple criteria which are directly observable phenomena or facts. The statistical method of value test and a multi-criteria approach are adopted to propose a typology of four groups of innovative firms (proactive, preactive, reactive, passive). The features observed on these groups of firms allow the determination of the firms' innovation capacity and are useful for providing recommendations and practical actions for them, with a view to reinforcing it. Data from a sample group of 39 small and medium sized enterprises (SMEs) in the manufacturing industry in Lorraine, France were collected via a field survey and were fed into the model to determine the innovation capacity of the companies. © 2013 Elsevier B.V. All rights reserved.


Armaghan N.,CNRS Research team on Innovative Processes | Renaud J.,Laboratoire Of Genie Of La Conception
Information Sciences | Year: 2012

Industrial decision-makers often try to develop new products by reusing their past experience. Methods for obtaining feedback are available in knowledge management and produce tangible results in the industrial world. Nowadays, companies often consider employees' knowledge as an asset. This approach is a potential answer for reusing knowledge acquired through experience. The Case-Based Reasoning (CBR) methodology, based on cognitive sciences, consists in solving new problems by reusing past experience. Case-Based Reasoning is an approach to solving a new problem by remembering and adapting a previous successful similar situation to the problem at hand. Of the four activities comprising CBR - Retrieve, Reuse, Revise, and Retain-this paper deals with the "Retrieve" phase. Consequently, we suggest using the Multi-Criteria Decisions concept in problem description to search for the solution in a case-based scenario. We show that Multi-Criteria Decisions and Case-Based Reasoning are complementary. This paper proposes using knowledge acquisition as a basis for seeking solutions from non-compensatory multi-criteria decision aids such as the ELECTRE-I and ELECTRE-II methods. We also carry out a robustness analysis at the end of this paper. We describe an industrial application with wire forming machines as an illustration of our recommendation. © 2012 Elsevier Inc. All rights reserved.


Perrard C.,University of Franche Comte | Bonjour E.,CNRS Research team on Innovative Processes
International Journal of Advanced Manufacturing Technology | Year: 2012

This paper is related to the field of assembly plan generation. It describes a new approach to a priori check the consistency of an assembly strategy that is given by the assembly system designers before running an assembly plan generation algorithm. The aim of this work is to improve the assembly plan designer's efficiency by reducing the research space while proving the existence of acceptable solutions. The assembly strategy combined with the product's model implies a set of constraints on the assembly processes. The proposed method determines whether the given assembly strategy produces possible assembly processes. In case of inconsistencies among the strategic constraints, the method will help the designer to identify the contradictory constraints. The set of constraints can be expressed by a Boolean equation. First we present the key concepts and models related to the product, processes, and added values in the field of assembly plan generation. Second we define existing strategic constraints, and propose three new ones and a classification of strategic assembly constraints. The originality of the proposed method consists in defining an elementary strategic constraint that is used to describe every other constraint. The proposed method leads to model an assembly strategy by a single Boolean equation that is used to check the inconsistencies. An industrial case study is provided to highlight and to demonstrate the interests of this approach. © Springer-Verlag London Limited 2012.


Perrard C.,University of Franche Comte | Bonjour E.,CNRS Research team on Innovative Processes
International Journal of Advanced Manufacturing Technology | Year: 2013

Sequence planning generation is an important problem in assembly line design. A good assembly sequence can help to reduce the cost and time of the manufacturing process. This paper focuses on assembly sequence planning (ASP) known as a hard combinatorial optimization problem. Although the ASP problem has been tackled via even more sophisticated optimization techniques, these techniques are often inefficient for proposing feasible assembly sequences that satisfy the assembly planners' preferences. This paper presents an approach that makes easier to check the validity of operations in assembly process. It is based on a model of the assembly planners' preferences by means of strategic constraints. It helps to check a priori the consistency of the assembly constraints (strategic and operative constraints) given by the assembly system designers before and while running an assembly plan generation algorithm. This approach reduces the solution space significantly. A case study is presented to demonstrate the relevance of the proposed approach. © 2013 Springer-Verlag London.

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