1,720,976 research outputs found
Analytical models for cycle time and throughput evaluation of multi-shuttle deep-lane AVS/RS
Full text linkThe Value Stream Hierarchical Model: A Practical Tool to Apply the Lean Thinking Concepts at All the Firms’ Levels
Full text linkThe increasing competition in the global markets is pushing many manufacturers to start the lean transformation with the final goal of being a Lean Enterprise, which applies the Lean thinking concepts at all its levels, from production to management. The biggest problem in this transition is to have a tool that consistently measures the undergoing evolution in the value stream selected, regardless of its extent, in order to take the subsequent actions needed. The main objective of this paper is to provide such a tool, the Value Stream Hierarchical Model (VSH Model), which could fit with every kind of manufacturing enterprise taking into account also the recent shift to industry 4.0 and the related new technologies available. In addition, another purpose of the model is to provide a scalable point of view that allows to “zoom in” on the company entity, based on the desired level of detail and the related information required. The VSH Model has born as a mix of the architectures existent in literature (ARIS, CIMOSA, PERA), which describe the enterprise from different point of views and levels, and the Lean Thinking concepts, starting from the Lean production tools and variables, passing through the Lean Accounting variables and ending with the Lean Management KPIs. The VSH model has already been applied to practical cases, consisting of a group of companies, as part of the industrial research carried out in Italy by the Politecnico di Torino
A Digital Twin Framework for Industry 4.0/5.0 Technologies
No full textIndustry 4.0 Paradigm unleashed tremendous opportunities to boost economical and societal transitions for the business and improved living standards of society, while Industry 5.0 is extending previous technological breakthrough in steering transformation, stimulating industry and society to be human-centric, sustainable, resilient, and green. Digital Twins, in turn, play a key role as enabler in such transformation. Heterogeneity of manufacturing technologies imposes specific challenges in developing and adopting Digital Twins. The main goal of this paper is to propose, assess and justify a robust and open framework of Digital Twins for manufacturing technologies, such as collaborative and mobile robots, as well as subtractive manufacturing machines. A framework eventually can be used by SME, while also in Educational and Research Institutions
Prediction and estimation model of energy demand of the AMR with cobot for the designed path in automated logistics systems
Full text linkThe ecosystem of the Industry 4.0 involves many new technologies, such as autonomous mobile robots (AMR) and cobots (collaborative robots), these are characterized with higher flexibility and cost effectiveness which makes them more suitable for automated internal logistics systems. The evaluation of energy consumption of AMRs for a designed path in a real case scenario using analytical tools are challenging. This paper proposes a method of evaluation of the sustainability of new technologies of Industry 4.0 in internal logistics. The proposed framework demonstrates data management technique of the industrial robots. Since, the AMR with manipulator perform different tasks as a single system in logistics there is big demand to develop model of cyber physical system. During task execution measured robots' physical parameters used as input data to perform analytics. Moreover, acquired data from different condition use cases have been used to monitor the battery behaviour of the AMR and preliminary results of the linear regression model is presented
Development of IoT Solutions According to the PLM Approach
No full textThe Industrial Internet of Things (IIoT) is one of the nine enabling technologies of Industry 4.0, which in recent years has seen an exponential increase in its applications. New production devices that are naturally equipped with this technology and the retrofitting solutions for industrial devices already installed in our industries, promote the demand of IIoT solutions. The Internet of Thing is often associated with Product Lifecycle Management (PLM) due to its ability to provide data which, when appropriately analyzed, feed the PLM system allowing for the tracking of the product along its life cycle. In this paper, the point of view is reversed: the IIoT solution, which is designed, implemented and maintained in an industrial system, is the product that must be managed with a PLM approach. IIoT solutions have characteristics that require the use of a PLM approach: they must meet complex requirements, they must adhere to standards and be compatible with the company's existing IT infrastructure, they are complex systems that interface many other systems and have a long lifecycle during which they are subject to innumerable modifications and extensions. It is therefore justified, from a research point of view, to investigate the characteristics that a PLM approach must have to support the development of an IIoT solution. This paper, based on the theory and evidences from industries and academies, traces a reference framework for the development of an IIoT solution supported by the PLM approach. To test the validity of the proposed guidelines, the paper illustrates their application in the development of a simple IoT solution dedicated to teaching and training
Open-Source IoT Lab for Fully Remote Teaching
No full textIn the era of Industry 4.0, the concept of IoT has pervaded every sector of manufacturing, promoting hyperconnectivity as an enabling status for effective communication between company departments, as well as real-time monitoring of the status of manufacturing resources. The Coronavirus pandemic, due to the SARS-CoV-2 virus (COVID-19), confirmed the advantages provided by an IoT ecosystem in the worldwide economy. The role of universities in the development and use of this technology is twofold: on the one hand, the research activity supports the digital transformation of enterprises, and on the other hand the teaching activity trains the new managers of the future. Therefore, this work proposes a didactical activity in which students are guided to the creation of an IoT system that has several advantages: it is easy to develop, it uses only open-source components, and it includes all the necessary modules for the development of a real Industrial IoT (IIoT) system. Thanks to this experience, the students acquire different skills: (1) they operate on the hardware part of the system using sensors and actuators connected to a Raspberry Pi; (2) they develop and connect PostgreSQL database; (3) they generate an automation algorithm with for intelligent data management; finally, (4) they design a Human-Machine Interface using dashboards and social chat. The scope of this lab is not focused to university teams only. It is also accessible to high school students thanks to drag and drop programming (Node-Red) and tools (Telegram) close to the students everyday life. A further contribution of this project is to provide a method of managing a course that can be conducted entirely remotely as demonstrated during the current pandemic period
Investigation on Additive Manufacturing Processes Performed by Collaborative Robot
No full textThe additive manufacturing (AM) applications using collaborative robots (cobot) are rapidly increasing in the manufacturing field. The integration of AM with a cobot abilities can help prototyping and manufacturing custom-made parts in a more efficient way. This paper relies on manufacturing cell that combines a fused deposition modeling (FDM) extruder with a 6-axis cobot controlled by IoT edge computing devices. The production processes are designed in a robot simulation software, where digital twin (DT) of the manufacturing cell is available. Direct and reverse communication between the simulation software and the physical manufacturing cell allows for implementing the real industrial cases. The manufacturing cell has been tested to demonstrate the viability of replacing traditional 3D printers in the industrial sector while taking advantage of working in a complex and dynamic environment. According to this approach this paper promotes the enlargement of the set of robot-abilities by adding additive manufacturing capabilities
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Lean Six Sigma in manufacturing process: a bibliometric study and research agenda
No full textPurpose: The purpose of this paper is to develop a bibliometric study about Lean Six Sigma (LSS) in the manufacturing process and to conduct an analysis of sources of publication, authorship, citations and other bibliometric indicators. This paper also identifies the research agenda for future research related to the LSS approach in manufacturing processes. Design/methodology/approach: A total of 508 articles published during the period 2002 to 2017 were collected through an automated process from the Scopus and Web of Science databases and later analyzed using techniques such as data mining, bibliometric indicators analysis, cluster analysis, network analysis and word cloud. The boundaries of the study cover studies directed to the manufacturing processes. Findings: The research identified 1,110 authors from 54 countries and 15 most prolific journals among the 162 journals investigated. The study unveils relevant articles, authors and journals that have discussed LSS initiatives in the manufacturing process. Practical implications: The study findings can make practitioners aware of the state of the art and the specificities of the most prolific studies. Furthermore, this paper also intends to clarify the project themes and tools most used in these works. Originality/value: The geographical locations of influential articles and authors are revealed. Additionally, frequently used words are listed and helped to develop a research agenda that highlights relevant themes, methods and industries
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