Institution
ParisTech
Education•Paris, France•
About: ParisTech is a education organization based out in Paris, France. It is known for research contribution in the topics: Residual stress & Finite element method. The organization has 1888 authors who have published 1965 publications receiving 55532 citations. The organization is also known as: Paris Institute of Technology & ParisTech Développement.
Papers published on a yearly basis
Papers
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TL;DR: The aim of this research is to integrate time margins, as the mean of control, and human factors under uncertainty into scheduling problem of a multi-product manufacturing system while maintaining performance and workers’ well-being.
13 citations
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TL;DR: In this article, the authors studied the reactions between ammonium nitrate and two sodium salts, namely, sodium nitrates and sodium nitrite, by ab initio calculations with density functional theory and experimental calorimetric methods.
Abstract: Hazards posed by chemical incompatibility, especially in a large-scale industrial environment, warrant a deeper understanding of the mechanisms of the reactions involved in these phenomena. In this study, reactions between ammonium nitrate and two sodium salts, namely, sodium nitrate and sodium nitrite, have been studied by ab initio calculations (with density functional theory, DFT) and experimental calorimetric methods (with differential scanning calorimetry, DSC, and heat flux calorimetry, HFC). The agreement between theoretical and experimental results allows an understanding of the thermal decomposition behaviors of the two sodium salts when exposed to ammonium nitrate. Moreover, this study highlighted the critical role of the water that appears to promote the incompatibility between ammonium nitrate and sodium nitrite.
13 citations
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TL;DR: In this article, the authors illustrate the issues at stake in the beef sector, focusing on Mercosur exports to the EU and derive comparative statics results for changes in various policy variables.
Abstract: The European Union tariff schedule includes a large number of specific and composite tariffs as well as many tariff-rate quotas (TRQs), which affect the composition of imports. By altering price ratios between products with different unit values, both can generate the typical Alchian-Allen 'shipping the good apples out' effect in foreign countries' exports to the EU. Different patterns of trade liberalization, either through tariff reduction or an expansion in preferential-access quotas, might have different consequences for producers and consumers because of changes in the composition of trade. We illustrate the issues at stake in the beef sector, focusing on Mercosur exports to the EU. We model import demand for different qualities in the presence of a TRQ and we derive comparative statics results for changes in various policy variables.
13 citations
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01 Sep 2018
TL;DR: The proposed model is more effective and efficient to schedule and plan surgeries and assign resources than manual scheduling and outperforms the Multi-Objective Particle Swarm Optimization algorithm in most of the utilized metrics.
Abstract: This article formulates the operating rooms considering several constraints of the real world, such as decision-making styles, multiple stages for surgeries, time windows for resources, and specialty and complexity of surgery. Based on planning, surgeries are assigned to the working days. Then, the scheduling part determines the sequence of surgeries per day. Moreover, an integrated fuzzy possibilistic-stochastic mathematical programming approach is applied to consider some sources of uncertainty, simultaneously. Net revenues of operating rooms are maximized through the first objective function. Minimizing a decision-making style inconsistency among human resources and maximizing utilization of operating rooms are considered as the second and third objectives, respectively. Two popular multi-objective meta-heuristic algorithms including Non-dominated Sorting Genetic Algorithm and Multi-Objective Particle Swarm Optimization are utilized for solving the developed model. Moreover, different comparison metrics are applied to compare the two proposed meta-heuristics. Several test problems based on the data obtained from a public hospital located in Iran are used to display the performance of the model. According to the results, Non-dominated Sorting Genetic Algorithm-II outperforms the Multi-Objective Particle Swarm Optimization algorithm in most of the utilized metrics. Moreover, the results indicate that our proposed model is more effective and efficient to schedule and plan surgeries and assign resources than manual scheduling.
13 citations
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TL;DR: A novel bi-objective integer model is presented to integrate reliability and intra-cell layout in designing a cellular manufacturing system (CMS) and it is demonstrated that the performance of the proposed MOICA is superior to the NSGA-II.
Abstract: In this article, a novel bi-objective integer model is presented to integrate reliability and intra-cell layout in designing a cellular manufacturing system CMS. Minimising the total costs e.g. inter and intra-cell material handling, machine overhead and operation, and setting up routes is the first objective with considering operation time, operation sequence, intra-cell layout, alternative process routing, routes selection, machines capacity, parts demand and parts movements in batches. Maximising the processing routes reliability is the second objective. The presented model is capable of modelling different failure characteristics including a decreasing, increasing, or constant value for machine failure rate. An illustrative example is solved to represent the capability of the presented model using the e-constraint method in order to demonstrate the conflict between the maximum value of the system reliability and the total costs of the system. Next, a multi-objective imperialist competitive algorithm MOICA is employed to find near-optimal solutions for medium-and large-sized test problems. Also, the efficiency of the proposed MOICA is revealed by comparison with the performance of a non-dominated sorting genetic algorithm NSGA-II. The computational results demonstrate that the performance of the proposed MOICA is superior to the NSGA-II. Furthermore, a real-world case study is conducted to validate the proposed model.
13 citations
Authors
Showing all 1899 results
Name | H-index | Papers | Citations |
---|---|---|---|
Mathias Fink | 116 | 900 | 51759 |
George G. Malliaras | 94 | 382 | 28533 |
Mickael Tanter | 85 | 583 | 29452 |
Gerard Mourou | 82 | 653 | 34147 |
Catherine Lapierre | 79 | 227 | 18286 |
Carlo Adamo | 75 | 444 | 36092 |
Jean-François Joanny | 72 | 294 | 20700 |
Marie-Paule Lefranc | 72 | 381 | 21087 |
Paul B. Rainey | 70 | 222 | 17930 |
Vincent Lepetit | 70 | 268 | 26207 |
Bernard Asselain | 69 | 409 | 23648 |
Michael J. Baker | 69 | 394 | 20834 |
Jacques Prost | 68 | 198 | 19064 |
Jean-Philippe Vert | 67 | 235 | 17593 |
Jacques Mairesse | 66 | 310 | 20539 |