Intelligent monitoring and diagnosis of manufacturing processes using an integrated approach of KBANN and GA

2008 ◽  
Vol 59 (5) ◽  
pp. 489-501 ◽  
Author(s):  
Jianbo Yu ◽  
Lifeng Xi ◽  
Xiaojun Zhou
Keyword(s):  
Integrated Approach ◽  
Manufacturing Processes ◽  
Intelligent Monitoring ◽  
Monitoring And Diagnosis

An Integrated Product-Process Design Approach Considering Material Selection and Product Assembly

2020 ◽  
Vol 19 (04) ◽  
pp. 675-699
Author(s):  
Abadi Chaimae ◽  
Abadi Asmae ◽  
Manssouri Imad
Keyword(s):  
Process Design ◽  
Material Selection ◽  
Minimum Cost ◽  
Integrated Approach ◽  
Design Approach ◽  
Manufacturing Processes ◽  
Design Requirements ◽  
Product Assembly ◽  
Manufacturing Parameters

Nowadays, industries face very strong challenges because of the high competitiveness between them. In fact, they are required to offer products with high quality and minimum cost in the minimum time. Since most of the characteristics and costs of the product and its manufacturing process are fixed in the design phase, this paper is focused on this strategic phase. Indeed, a new integrated product design approach is presented. It considers at the same time design requirements, materials characteristics, manufacturing parameters and the assembly process specifications. The developed approach is quantitative. Actually, the decision making is based on all its steps on objective and subjective indicators. To validate the integrated approach, a case study on the Schrader Robot is developed. This application allows to choose the most appropriate materials, manufacturing processes and assembly solution of its different components.

scholarly journals Improving Motion Safety and Efficiency of Intelligent Autonomous Swarm of Drones

Drones ◽  
2020 ◽  
Vol 4 (3) ◽  
pp. 48
Author(s):  
Amin Majd ◽  
Mohammad Loni ◽  
Golnaz Sahebi ◽  
Masoud Daneshtalab
Keyword(s):  
State Of The Art ◽  
Holistic Approach ◽  
Integrated Approach ◽  
Mission Planning ◽  
Operating Environment ◽  
Intelligent Monitoring ◽  
Planning Algorithm ◽  
Definition Of ◽  
Formal Requirements ◽  
Swarm Mission

Interest is growing in the use of autonomous swarms of drones in various mission-physical applications such as surveillance, intelligent monitoring, and rescue operations. Swarm systems should fulfill safety and efficiency constraints in order to guarantee dependable operations. To maximize motion safety, we should design the swarm system in such a way that drones do not collide with each other and/or other objects in the operating environment. On other hand, to ensure that the drones have sufficient resources to complete the required task reliably, we should also achieve efficiency while implementing the mission, by minimizing the travelling distance of the drones. In this paper, we propose a novel integrated approach that maximizes motion safety and efficiency while planning and controlling the operation of the swarm of drones. To achieve this goal, we propose a novel parallel evolutionary-based swarm mission planning algorithm. The evolutionary computing allows us to plan and optimize the routes of the drones at the run-time to maximize safety while minimizing travelling distance as the efficiency objective. In order to fulfill the defined constraints efficiently, our solution promotes a holistic approach that considers the whole design process from the definition of formal requirements through the software development. The results of benchmarking demonstrate that our approach improves the route efficiency by up to 10% route efficiency without any crashes in controlling swarms compared to state-of-the-art solutions.

Supply Chain Design of Manufacturing Processes with Blending Technologies

2017 ◽  
Vol 261 ◽  
pp. 509-515 ◽  
Author(s):  
Ágota Bányainé Tóth ◽  
Béla Illés ◽  
Fabian Schenk
Keyword(s):  
Mathematical Model ◽  
Linear Programming ◽  
Supply Chain ◽  
Literature Review ◽  
Linear Programming Problem ◽  
Integrated Approach ◽  
Integrated Model ◽  
Supply Chain Design ◽  
Manufacturing Processes ◽  
Proposed Model

Blending technologies play an important role in manufacturing. The design and operation of manufacturing processes using blending technologies represent a special range of manufacturing related logistics because the integrated approach of technological and logistic parameters is very significant. This research proposes an integrated model of supply of manufacturing processes using blending technologies. After a careful literature review, this paper introduces a mathematical model to formulate the problem of supply chain design for blending technologies. The integrated model includes the optimal purchasing strategy depending on the characteristics of components to be mixed in the desired proportion and the costs of supply. The integrated model will be described as a linear programming problem. Numerical results with different datasets demonstrate how the proposed model takes technological and logistic aspects into consideration.

An integrated framework using VSM, AHP and TOPSIS for simplifying the sustainability improvement process in a complex manufacturing process

2019 ◽  
Vol 18 (1) ◽  
pp. 211-229 ◽  
Author(s):  
Mohyiddine Soltani ◽  
Hichem Aouag ◽  
Mohamed Djamel Mouss
Keyword(s):  
Manufacturing Process ◽  
Integrated Approach ◽  
Basic Structure ◽  
Sustainability Indicators ◽  
Value Stream Mapping ◽  
Manufacturing Processes ◽  
Improvement Strategy ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Improvement Process

Purpose The purpose of this paper is to propose an integrated approach for assessing the sustainability of production and simplifying the improvement tasks in complex manufacturing processes. Design/methodology/approach The proposed approach has been investigated the integration of value stream mapping (VSM), analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS). VSM is used as a basic structure for assessing and improving the sustainability of the manufacturing process. AHP is used for weighting the sustainability indicators and TOPSIS for prioritizing the operations of a manufacturing process regarding the improvement side. Findings The results carried out from this study help the managers’ staff in organizing the improvement phase in the complex manufacturing processes through computing the importance degree of each indicator and determining the most influential operations on the production. Research limitations/implications The major limitations of this paper are that one case study was considered. In addition, to an average set of sustainability indicators that have been treated. Originality/value The novelty of this research is expressed by the development of an extended VSM in complex manufacturing processes. In addition, the proposed approach contributes with a new improvement strategy through integrating the multi-criteria decision approaches with VSM method to solve the complexity of the improvement process from sustainability viewpoints.

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