Titlebook: Artificial Intelligence and Industrial Applications; Smart Operation Mana Tawfik Masrour,Anass Cherrafi,Ibtissam El Hassani Conference proc

Harrowing

Methodology for Implementation of Industry 4.0 Technologies in Supply Chain for SMEs,n China, future industry in France. Different nominations with an only objective, which is to make the company smarter: transformation in the organization and management of production as well as the entire logistics chain. Even the importance of this industrial revolution, there is a lack of researc

JUST

北极人

协奏曲

SmartDFRelevance: A Holonic Agent Based System for Engineering Industrial Projects in Concurrent Enntentional action and it cannot emerge out of complexity. In fact, to achieve the common ‘cost/quality/delay’ targets, engineers must work together to create the best overall solution from their individual components, and exploit and regenerate the required intellectual capital (Knowledge). Therefor

Lament

Hyaluronic-Acid

镇压

Production Systems Simulation Considering Non-productive Times and Human Factors,the operator’s working conditions. With the help of simulation, these approaches can be tested in a much cheaper, faster and easier manner before real-life implementation. In this paper, new strategies have been tested to improve working conditions for the operator while maintaining high performance

nocturnal

Guaff豪情痛饮

,The Emergence and Decision Support in Complex System with Fuzzy Logic Control, differential equations is used in simple system but when the complexity increases, these concepts become less effective. The processing of complex systems such as crowd navigation requires the manipulation of vague, imprecise, uncertain, or both imprecise and uncertain information. The proposed app

Estimable

Markov Decision Processes with Discounted Costs over a Finite Horizon: Action Elimination,rchers are interesting to find methods and technical tools in order to solve the proposed problem. In this paper, we develop the backward induction algorithm to calculate optimal policies and value functions for solving finite horizon discrete-time MDPs in the discounted case. Firstly, we present th