Lean 4.0 - A conceptual conjunction of lean management and Industry 4.0

Mayr, Andreas; Weigelt, Michael; Kühl, Alexander; Grimm, Stephan; Erll, A.; Potzel, M.; Franke, Jörg

doi:10.1016/j.procir.2018.03.292

Cited by 263 publications

(227 citation statements)

References 23 publications

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“…Visual management system is one of the approaches to communicating information by utilizing signal, diagrams or chart instead of texts. It is to act as a solution of wastage reducing in Industry 4.0 since its goal is to make the situation effortlessly understand with shortest observation time as possible (Mayr et al, 2018). Andon can be defined as a 'Sign' or 'Signal' that provides visual management aid when highlighting an issue, as it occurs, which helps to introduce countermeasures immediately so as to avoid re-occurrence (Kemmer et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

Internet of things and simulation approach for decision support system in lean manufacturing

Ito

Rahman

Mohamad

et al. 2020

JAMDSM

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Today, Industry 4.0 concerns a rapid advancement in manufacturing technologies which help industries increase their productivity. To adopt Industry 4.0 concept is still visionary by certain lean manufacturers when the communication technologies interfaces are not fully equipped at the production system. Most of the facilities towards digitalization are also expensive and require many specialists in different fields to manage the technologies. Therefore, most data analytics (DA) engineering is cannot be employed broadly for process enhancement by Industry 4.0 environment. However, starting with Internet of Things (IOT) concepts, Andon system with simulation was enhanced to support decision making in lean manufacturing. The aims of this research paper is to develop a decision support system (DSS) framework which intersects between Andon and simulation through IOT concept. A better decision-making information flow are demonstrated in detail. To illustrate the applicability of the DSS, it has been implemented in lean manufacturing for automotive part assembly. The results indicate that the DSS can easily be adopted in digital factories to support in planned and operational activities.search engine platform where they provide various Internet services. Virtualization technology provides cloud computing with flexible extensions, dynamic allocation, resource sharing, and other features. The cloud computing model provides services to the user including software, hardware, platforms, and other IT infrastructure resources as required. The user simply uses resources depending on application needs, relying on on-demand access to computers and storage systems. In manufacturing, the cloud is used as a platform where various production resources and capabilities can be intelligently sensed and connected into the cloud. Then IoT technologies such as sensors or actuators can be used to automatically manage and control these resources so that they can be digitalized for sharing.One of the main goals to set-up a company is to obtain a generous profit. Therefore, to achieve a good profit is by increasing productivity. To manage high productivity, the computing simulation is become more widely to use in the lean production process. Through the simulation, decision-makers are allowing to study the optimal condition for the coming production line in the virtual world before making the change of production line. Simulation models entails oversimplified assumptions and rough approximations to overcome the complexity of manufacturing systems which widen the gap from reality . This has become a new challenge since modern information and communication technologies are a rather complex set of hardware, software and organizational solutions processed with the data (Koscielniak and Puto, 2015). Development of Methodology of Decision Support SystemIn the development stage, firstly, IoT ecosystem involves web-enabled smart devices that use sensors, embedded processors and communication hardware to collect, act and send the data acquired. Through...

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Section: Introductionmentioning

confidence: 99%

Internet of things and simulation approach for decision support system in lean manufacturing

Ito

Rahman

Mohamad

et al. 2020

JAMDSM

View full text Add to dashboard Cite

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“…Table 2 is presented a summarized description of the main contributions put forward by the corresponding authors of the sources analysed, based on a set of six main criteria considered for comparative analysis with the proposed visualization decision support approach. In general, and according to the information presented in Table 2, it is possible to realize that a range of five varying contributions or approaches is being put forward (A1 (Stadnicka, 2015), A2 (Mayr et al, 2018), A3 (Gonnermann & Reinhart, 2019), A4 (Vinodh et al, 2011), andA5 (Wu et al, 2018)), for instance during the last decade varying in terms of type of approaches, methodologies or methods and underlying tools that have been used, concerning setup data representation, processing, analysis and visualization or monitoring, for different industrial sectors and manufacturing environments, with several distinct specificities and requests, for accomplishing differed purposes and by considering different manufacturing systems' performance measures and setup variables. Legend: A1 (Stadnicka, 2015), A2 (Mayr et al, 2018), A3 (Gonnermann & Reinhart, 2019), A4 (Vinodh et al, 2011), A5 (Wu et al, 2018, A6 (proposed decision support visualization approach and underlying tool).…”

Section: General Discussion and Analysis Of Contribution In The Statementioning

confidence: 99%

Decision Support Visualization Approach in Textile Manufacturing a Case Study From Operational Control in Textile Industry

Varela¹,

Amaral²,

Pereira³

et al. 2019

IJQR

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Decision support visualization tools provide insights for solving problems by displaying data in an interactive, graphical format. Such tools can be effective for supporting decision-makers in finding new opportunities and in measuring decision outcomes. In this study, was used a visualization tool capable of handling multivariate time series for studying a problem of operational control in a textile manufacturing plant; the main goal was to identify sources of inefficiency in the daily production data of three machines. A concise rule-based model of the inefficiency measures (i.e. quantitative measures were transformed into categorical variables) was developed and then performed an in-depth visual analysis using a particular technique, the categorical time series plots stacked vertically. With this approach were identified a wide array of production inefficiency patterns, which were difficult to identify using standard quantitative reporting -temporal pattern of best and worst performing machines -and critically, along with most important sources of inefficiency and some interactions between them were revealed. The case study underlying this work was further contextualized within the state of the art, and demonstrates the effectiveness of adequate visual analysis as a decision support tool for operational control in manufacturing.

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“…With the help of appropriate management, it is about introducing completely autonomous processes of preparation of production, of the production itself and especially of production processes, which should enable better preparation of goods for the buyer (Seitza & Nyhuisa, 2015). It is the sustainable logistic development, which is reflected through the introduction of autonomous packaging, palletizing, storage, supply, etc., consistently applying industry guidelines 4.0 (Mayer et al, 2018). The goal of sustainable development of IT support in logistics is to provide a completely autonomous system for data processing, orders, preparation of a production plan and implementation of the production itself.…”

Section: Discussionmentioning

confidence: 99%

Sustainable Development of Information Systems for Logistics as a Tool to Strengthen the Competitive Ability on Global Markets

Stor

2019

Naše Gospodarstvo/Our Economy

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The main purpose of the article is to motivate experts and researchers in the field of business informatics and logistics to interdisciplinary integration in order to develop a new concept of an information system that will help to strengthen a company's competitive ability. The article analyzes the research carried out between top managers, strategic managers and managers of logistics in the largest Slovenian companies. Two hundred companies were included in the primary survey; 60 managers were selected in a representative sample and at the end 30 leaders in statistical analysis. We sent questionnaires to our managers via e-mail. The data were processed with the statistical program IBM SPSS Statistics 19, as a method we used linear regression and multiple correlation. With the primary survey, we measured satisfaction of the managers with existing information support for logistics and found that logistical, strategic information professionals need to be even more connected, so that management decisions can then be developed and sustained. On the basis of the obtained data, it can be concluded that sufficient investment of funds in the creation of an appropriate information system fosters the development of business logistics. The originality and value of the article are reflected in the interdisciplinary view of the concept of information support of logistics in the development of new products, in the original connections of various business functions, in the possibility of designing new information solutions and in the sustainable development of new services for the market.

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Lean 4.0 - A conceptual conjunction of lean management and Industry 4.0

Cited by 263 publications

References 23 publications

Internet of things and simulation approach for decision support system in lean manufacturing

Internet of things and simulation approach for decision support system in lean manufacturing

Decision Support Visualization Approach in Textile Manufacturing a Case Study From Operational Control in Textile Industry

Sustainable Development of Information Systems for Logistics as a Tool to Strengthen the Competitive Ability on Global Markets

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