Convergence and Contradiction Between Lean and Industry 4.0 for Inventive Design of Smart Production Systems

Slim, Rabih; Houssin, Rémy; Coulibaly, Amadou

doi:10.1007/978-3-030-02456-7_12

Cited by 12 publications

(7 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Analyzing the available literature on LI4, interest in this topic has been increasing in recent years. Despite the growing interest of scientists, there is a research gap regarding the assessment of the combination of I4.0 and LM (Slim et al, 2018). The current state of knowledge in the area of Lean Industry 4.0 is presented in the Figure 10.…”

Section: Discussion and Further Researchmentioning

confidence: 99%

“…This is due to the fact that sometimes the authors cite papers that practically do not relate to the topic discussed in the article or the main theme of the cluster (Rauch et al, 2016;Synnes & Welo, 2016). This may also be the case in literature review articles (Cattaneo et al, 2017;Ciano et al, 2019;Slim et al, 2018). Therefore, when using modern bibliometric tools, the traditional review of papers should not be overlooked.…”

Section: Citation Network Analysis (Cna)mentioning

confidence: 99%

“…An assessment of the relationship between Lean Manufacturing, Industry 4.0 and sustainability is available in the paper (Varela et al, 2019). Study (Slim et al, 2018) presents an analysis of convergence and contradictions occurring between Lean and Industry 4.0 for the innovative design of smart manufacturing within the smart factory. It is also worth paying attention to two very extensive reviews of the literature on: the concept of smart factory (Strozzi et al, 2017) and smart factory in combination with sustainable development and green growth concepts (Odważny et al, 2018).…”

Section: Cluster 3 Author's Abstract: Lean Manufacturing Smart Factory Sustainabilitymentioning

confidence: 99%

See 2 more Smart Citations

Towards ‘Lean Industry 4.0ʹ – Current trends and future perspectives

Ejsmont

Gładysz

Corti

et al. 2020

Cogent Business & Management

View full text Add to dashboard Cite

The enterprises to be competitive are constantly looking for continuous increase of productivity, quality and level of services. With the development of Industry 4.0 concept, manufacturers are more confident about new advantages of automation and systems integration. Lean management is well developed and empirically proven effective managerial approach. Combining Lean and Industry 4.0 practices seems to be necessary evolutionary step for further raise the level of operational excellence (exploitation of finance, workload, materials, machines/ devices). There is an increasing number of Industry 4.0 solutions used to reduce waste (as known from Lean Management). Therefore, the main objective of this article aims at presenting the results of a literature review on the concept of 'Lean Industry 4.0ʹ. Dynamic methodology called "Systematic Literature Network Analysis (SLNA)" was used. It combines the Systematic Literature Review approach with the quantitative analysis of bibliographic networks to detect emerging topics and the dynamic evolution of the topics. The paper is a comprehensive systematization and rationalization of knowledge about the integration of LM and I4.0 concepts, identifies the most important research trends and defines directions for future research. The article contains a framework that presents the current state of knowledge in the area of Lean Industry 4.0.

show abstract

Section: Discussion and Further Researchmentioning

confidence: 99%

Section: Citation Network Analysis (Cna)mentioning

confidence: 99%

Section: Cluster 3 Author's Abstract: Lean Manufacturing Smart Factory Sustainabilitymentioning

confidence: 99%

See 1 more Smart Citation

Towards ‘Lean Industry 4.0ʹ – Current trends and future perspectives

Ejsmont

Gładysz

Corti

et al. 2020

Cogent Business & Management

View full text Add to dashboard Cite

show abstract

“…Lean 4.0, which uses state-of-the-art equipment, tools, data and analytics, is a new technology that can bring automation into everyday use. This production style is made up of efficiencies in processes, a smaller environmental imprint and smarter time management (Slim et al , 2018; Valamede and Akkari, 2019; De Giovanni and Cariola, 2020). Therefore, it reduces waste and increases output by just using the essential resources.…”

Section: Classical Strategies Of Lean 40 For Overall Enhancing the Ma...mentioning

confidence: 99%

Exploring relationships between Lean 4.0 and manufacturing industry

Javaid

Haleem

Singh

et al. 2021

View full text Add to dashboard Cite

Purpose Over the past few decades, lean manufacturing has focussed on being customer-centred and now Lean 4.0 technologies have made it possible for manufacturers to have a deeper view of waste reduction. Technologies such as the internet of things, artificial intelligence, three-dimensional printing, robotics, real-time data, cloud computing, predictive analytics and augmented reality, are helpful to achieve Lean 4.0. This study aims to develop the conceptual understanding of Lean 4.0, related tools and linkage with Industry 4.0. Further, it provides the strategies for implementing Lean 4.0, developing lean culture and highlights the Lean 4.0 application in the manufacturing context. Design/methodology/approach This study relates to Lean 4.0 and its technologies. Prominent research is identified through Scopus, Web of Science, ScienceDirect and Google Scholar and studied as per the objective of this study. This lean revolution provides customers desire for personalisation, connectedness, high-quality and valuable products. Lean 4.0 provides valuable information on the value chain and production process. This revolution has significantly impacted refining production processes for a greater level of adaptability and cost reduction. Findings This paper is brief about Lean 4.0 and its capabilities for the reduction of waste. The authors discussed different tools used in Lean 4.0 and its relationship with Industry 4.0. The classical strategies and progressive features of Lean 4.0 for overall enhancing the manufacturing sphere are discussed diagrammatically. Finally, it identified and discussed 14 significant applications of Lean 4.0 for manufacturing industries. Originality/value This study provides a comprehensive understanding of Lean 4.0 and related tools and strategies that help the upcoming manufacturing industries.

show abstract

“…While developing the concept of contradiction finding and classification, in order to improve the quality of marketing communication, the contradiction toolkit (Gadd, 2011) and the ENV model were adopted, taking into account the need to classify contradictions regarding their importance (Cavallucci et al, 2011) to positive qualitative changes in marketing communication. Contradiction modeling has been applied to identify or solve, e.g., engineering, education, managing, knowledge management, sociological problems (Messaoudene, 2018; Nakagawa; 2018; Slim et al, 2018;Livotov et al, 2019). As a result of the analysis of current research work, it can be concluded that selected TRIZ methods and tools are used to solve problems in the area of marketing (Semenova, 2004), the need to consider the role of marketing in engineering creativity, especially relationship marketing, which supports integration of different sources of information (Belski et al, 2019) is indicated.…”

Section: Theory Of Inventive Problem Solvingmentioning

confidence: 99%

The Concept of Contradiction Finding and Classification in the Field of Marketing Communication Quality Management

Majchrzak

Chuda

Kalemba

et al. 2019

IFIP Advances in Information and Communication Technology

View full text Add to dashboard Cite

This article presents new concept of a systematic approach to quality management of marketing communication. The major research objective was to develop a method which facilitates efficient quality management of marketing communication in a holistic manner. The elements of marketing communication are defined, and the subsystem of marketing information is distinguished. A qualitative model of marketing communication was developed referring to the basics of Qualitology and the principles of qualitative modeling, valuation and systemic approach. Using the ENV and OTSM model of TRIZ contradiction, the problem of qualitative contradictions in the marketing communication system was indicated. Grey Incidence Analysis and Theory of Correlation and Regression are used to identify the structure of marketing communication and to find contradictions within its structure. The inventive principles for solving contradictions in the field of marketing are indicated. The innovative aspect of the research consists of an application of qualitative modeling, methods of Grey System Theory and Theory of Correlation and Regression, and methods of Theory of Inventive Problem Solving. The method introduced enables the recognition and classification of contradictions on its impact for marketing communication quality. In the last section, the direction for further research in the field of systematic thinking application for marketing communication quality management is indicated.

show abstract

Convergence and Contradiction Between Lean and Industry 4.0 for Inventive Design of Smart Production Systems

Cited by 12 publications

References 26 publications

Towards ‘Lean Industry 4.0ʹ – Current trends and future perspectives

Towards ‘Lean Industry 4.0ʹ – Current trends and future perspectives

Exploring relationships between Lean 4.0 and manufacturing industry

The Concept of Contradiction Finding and Classification in the Field of Marketing Communication Quality Management

Contact Info

Product

Resources

About