1,949 research outputs found
Soft computing techniques and applications in mechanical engineering/ Mangey Ram and J. Paulo Davim, editors.
No full textIncludes bibliographical references."This book explores the applications of soft computing techniques in mechanical engineering field, conveys the innovative research ideas, the real-world utility of mathematics, and has a prodigious significance in the life of academics, practitioners, researchers and industry leaders"--1 online resource
Building a Semi-automatic Design for a Reliability Survey with Semantic Pattern Recognition
No full textSupply Chain Sustainability: Modeling and Innovative Research Frameworks De Gruyter series on the applications of mathematics in engineering and information sciences ;, v. 2./ Sachin Kumar Mangla and Mangey Ram.
No full textIncludes bibliographical references and index.Supply chains are significant in improving business efficiency. Sustainable supply chains help industries enhance their ecological, monetary, and social performance. Innovative research frameworks as well as the modelling of sustainability issues are significant to different stakeholder's perspectives. This book guides researchers and practitioners through developing effective sustainable supply chains to meet UN Sustainable Development Goals (SDGs).1. Fuzzy inference system in sustainable supplier -- 2. Green and sustainable freight logistics for improving supply chain sustainability: a bibliometric analysis -- 3. Sustainability in urban expansion of a metropolitan city: impacts of urban growth towards the outer fringe of Kolkata -- 4. Assessment of logistics performance in sustainable supply chain: case from emerging economy -- 5. Service designing through Fuzzy Kano analysis in heritage tourism -- 6. Developing a framework to provide technological solutions for implementing green supply chain -- 7. Demand side of the sustainable supply chain (consumers sustainable practices): a conceptual review -- 8. Can sustainability marketing be implemented as a differentiation strategy? -- 9. Agricultural/biomass waste management through "green supply chain way": Indian "brickfield" perspective -- 10. Management of quality in perishable food supply chain by using Internet of things (IOT): a novel approach -- Index.1 online resource (xiv, 196 pages)
Effects of k-out-of-n: G/F and parallel redundancy in an industrial system through reliability approach
No full textA probabilistic approach to reconfigurable interactive manufacturing and coil winding for Industry 4.0
Get PDFThe robotic industry needs new, innovative, ideas to be globally competitive. Conventional industrial robots are not able to adapt to changes in the assembly processes. Flexible assembly applications are actually uncommon and only isolated attempts exploit industrial robots to perform tasks with variability in the parts. Variability aspects are emphasized when developing novel manufacturing applications involving human–robot collaboration which are the foundation of Industry 4.0 systems. In this chapter, we describe how variability can be considered and mathematically described as part of the problem to obtain a flexible robotic solution. The selected approach is based on a probabilistic representation of the task obtained starting from a set of demonstrations collected from humans. The chapter illustrates the different steps leading to the complete learning framework. We start by describing the strategies adopted during the data collection phase. From the raw data, the design of feature extraction procedures is provided alongside a set of preprocessing techniques used to remove noisy and incoherent information. The resulting data set is used to train a model of task by following a probabilistic approach. The output of the model is exploited to actuate an industrial manipulator in the context of significant production scenarios. The robot motion strategies are also analyzed depending on the level of flexibility requested from the specific use case. Two main use cases are introduced: (1) the automatic assembly of a car door with its module, and (2) the robotized manufacturing process of electric machines, in particular winding of coils on stator or rotor cores. Each problem is mathematically formulated by modeling both the robotic platform and the target. The influence of the scenario variability with respect to the computed robotic motion is considered. The system flexibility is evaluated by means of an extensive set of benchmarking tests by recording data and actuating robots in both simulated and real environments. Achievements are compared with respect to state-of-the-art solutions by defining a set of objectives and metrics. The goal is to measure the performance of the system, for example, in minimizing the time and energy needed to move the robot in the working space, in generating an effective human–robot interaction with low reaction time and high accuracy, and in providing an intuitive robot learning technique to easily allow the human to teach the robot new tasks. Dynamic online reconfigurability of the framework is considered by testing its capability to deal with novel situations and new products. The integration of the proposed technologies with current robotic systems is discussed and a solution based on the robot operating system is proposed to provide a good infrastructure for network communication as well as all the tools necessary for a modern distributed and heterogeneous system. The feasibility and cost-effectiveness of the developed solutions are taken into account in order to demonstrate the applicability of the proposed approach in actual industrial settings
Performance improvement of a parallel redundant system with coverage factor
No full textIn this paper we propose a new coverage model which shows improvement in the availability of the system and the reduction in the cost which are important measures for reliability. The present study discusses the effect of coverage factor on the reliability characteristics of a parallel redundant complex system. The system is analysed under Preemptive resume repair policy. Using the concept of coverage factor, the availability and cost analysis of the system have been computed and analysed by graphical illustrations
Overview of the algebraic reliability of binary and multistate k-out-of-n and related systems
No full textIn this chapter, we present an algebraic method, based on monomial ideals, to compute the reliability of coherent systems. The first part of the chapter introduces the basics of the algebraic method and gives some examples of use. The rest of the chapter is devoted to the application of the algebraic method to binary and multistate k-out-of-n systems. We review the different definitions that binary and multistate k-out-of-n and their variant systems have received in the literature and present them in a unified way using the algebra of monomial ideals. We provide algorithms and formulas to compute the reliability of these systems and bounds for them. We include some computer experiments to evaluate the efficiency of the algebraic method showing its strengths and weaknesses
Fuzzy Sumudu transform approach to solving fuzzy differential equations with Z-numbers
No full textUncertain nonlinear systems can be modeled with fuzzy differential equations (FDEs) and the solutions of these equations are applied to analyze many engineering problems. However, it is very difficult to obtain solutions of FDEs. In this book chapter, the solutions of FDEs are approximated by utilizing the fuzzy Sumudu transform (FST) method. Here, the uncertainties are in the sense of fuzzy numbers and Z-numbers. Important theorems are laid down to illustrate the properties of FST. This new technique is compared with Average Euler method and Max-Min Euler method. The theoretical analysis and simulation results show that the FST method is effective in estimating the solutions of FDEs.</p
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