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Deniaud I.,University of Strasbourg | Marmier F.,University ulouse | Gourc D.,University ulouse
22nd International Conference on Production Research, ICPR 2013 | Year: 2013

This paper outlines how to make strategic decisions in NPD project according to risk. The complexity of the problems to be solved in NPD depends on both the nature of design problem solving and the difficulty of managing the project (activities, risks). The interactions between product subsystems in NPD often lead to conflicts requiring arbitration between alternative solutions. To give an overview of the links between activities to the Project Manager, we propose a joint process of design, project management and risk management. It takes into consideration the design activities and risk activities to generate a design project planning. During the project design, if different strategies can be used only for solving design problems, different others can help deal with the project risks. All of them lead to different possible scenarios. We present a decision tree to show the decisions steps and possible project scenarios. A generic decision support system is proposed. A case study of a satellite design project is developed to demonstrate the effectiveness of the proposition.

Ebihara Y.,Kyoto University | Peaucelle D.,Hoffmann-La Roche | Peaucelle D.,University ulouse | Arzelier D.,Hoffmann-La Roche | And 3 more authors.
IET Control Theory and Applications | Year: 2014

This study is concerned with the dominant pole analysis of asymptotically stable time-delay positive systems (TDPSs). It is known that a TDPS is asymptotically stable if and only if its corresponding delay-free system is asymptotically stable, and this property holds irrespective of the length of delays. However, convergence performance (decay rate) should degrade according to the increase of delays and this intuition motivates us to analyse the dominant pole of TDPSs. As a preliminary result, in this study, the authors show that the dominant pole of a TDPS is always real. They also construct a bisection search algorithm for the dominant pole computation, which readily follows from recent results on á-exponential stability of asymptotically stable TDPSs. Then, they next characterise a lower bound of the dominant pole as an explicit function of delays. On the basis of the lower bound characterisation, they finally show that the dominant pole of an asymptotically stable TDPS is affected by delays if and only if associated coefficient matrices satisfy eigenvalue-sensitivity condition to be defined in this study. Moreover, they clarify that the dominant pole goes to zero (from negative side) as time-delay goes to infinity if and only if the coefficient matrices are eigenvalue-sensitive. © 2014 The Institution of Engineering and Technology.

Malavaud B.,French Institute of Health and Medical Research | Malavaud B.,University ulouse | Malavaud B.,Toulouse University Hospital Center | Malavaud B.,CNRS Institute of Pharmacology and Structural Biology | And 18 more authors.
European Journal of Cancer | Year: 2010

Purpose: Sphingosine kinase-1 (SphK1) was shown in preclinical models and non-genitourinary cancers to be instrumental in cancer progression, adaptation to hypoxia and in tumour angiogenesis. No data were available in human prostate cancer. The present study was designed to assess SphK1 expression and activity in radical prostatectomy specimens and to research correlations with clinical features. Materials and methods: Transverse section of fresh tissue was obtained from 30 consecutive patients undergoing laparoscopic prostatectomy. SphK1 enzymatic activities of tumour and normal counterpart were determined. Relationships with PSA, Gleason sum, pathological stage, resection margin status and treatment failure were researched. SphK1 pattern of expression was then assessed on tissue microarray. Results: A significant 2-fold increase in SphK1 enzymatic activity(11.1 ± 8.4 versus 5.9 ± 3.2 (P < 0.04)) was observed in cancer. The upper quartile of SphK1 activity was associated with higher PSA (16.7 versus 6.4 ng/ml, P = 0.04), higher tumor volumes (20.7 versus 9.8, P = 0.002), higher rates of positive margins (85.7% versus 28.6%, P = 0.01) and surgical failure (71.4% versus 9.5%, P = 0.003) than the lower three quartiles. Odds ratios (OR) for treatment failure showed a strong relationship with SphK1 activity (OR: 23.7, P = 0.001), positive resection margins (OR: 15.0, P = 0.007) and Gleason sum (≥4 + 3, OR: 8.0, P = 0.003). Tissue microarrays showed discrete epithelial expression that varied with Gleason sum with significant relationship between SphK1 expression and higher Gleason sum. Conclusion: In complement to preclinical literature, the demonstrated relationships between SphK1-increased activity in cancer and relevant clinical features confirm a central role for SphK1 in prostate cancer that herald promising avenues in risk-assessment and treatment. © 2010 Elsevier Ltd. All rights reserved.

Marmier F.,University ulouse | Gourc D.,University ulouse | Robin V.,University of Bordeaux 1 | Sperandio S.,University of Bordeaux 1
22nd International Conference on Production Research, ICPR 2013 | Year: 2013

The companies are faced with a more and more demanding market. Their ability to win contracts and bring in innovative projects is often based on some specific resources. However, several similar projects calling on the same actors or equipments, can be run in parallel within the organization. Resources are usually limited in quantity. If the needs are simultaneous, arbitration becomes necessary to prioritize projects. Therefore, the project managers must reliably know the resource requirements over the project timeline. However, few guides, books or studies on project management deal with these aspects in risky projects. The aim of this article consist in presenting the decision support system we have implemented to help project managers. The various feasible solutions are generated and modeled in a decision tree, which is connected with a model for scenario evalution. The manager is then able to evaluate, compare and choose the best way to control the level of project risk and feasibility of the planning. He will also have the information needed to negotiate the availability of resources with the various resource managers. Finally, this study discusses the case of a building project for a weather-forecasting station. It illustrates the complexity of the decision making problem and validates our approach.

Vareilles E.,University ulouse | Aldanondo M.,University ulouse | Codet De Boisse A.,University ulouse | Codet De Boisse A.,Toulouse 1 University Capitole | And 3 more authors.
Engineering Applications of Artificial Intelligence | Year: 2012

The goal of this paper is to show how it is possible to support design decisions with two different tools relying on two kinds of knowledge: case-based reasoning operating with contextual knowledge embodied in past cases and constraint filtering that operates with general knowledge formalized using constraints. Our goals are, firstly to make an overview of existing works that analyses the various ways to associate these two kinds of aiding tools essentially in a sequential way. Secondly, we propose an approach that allows us to use them simultaneously in order to assist design decisions with these two kinds of knowledge. The paper is organized as follows. In the first section, we define the goal of the paper and recall the background of case-based reasoning and constraint filtering. In the second section, the industrial problem which led us to consider these two kinds of knowledge is presented. In the third section, an overview of the various possibilities of using these two aiding decision tools in a sequential way is drawn up. In the fourth section, we propose an approach that allows us to use both aiding decision tools in a simultaneous and iterative way according to the availability of knowledge. An example dealing with helicopter maintenance illustrates our proposals. © 2011 Elsevier Ltd. All rights reserved.

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