scholarly journals Adaptation of the Lean 6S Methodology in an Industrial Environment under Sustainability and Industry 4.0 Criteria

2021 ◽  
Vol 13 (22) ◽  
pp. 12449
Author(s):  
Mariano Jiménez ◽  
Mª del Mar Espinosa ◽  
Manuel Domínguez ◽  
María Romero ◽  
Tamar Awad
Keyword(s):  
Lean Manufacturing ◽  
Industry 4.0 ◽  
Positive Influence ◽  
Digital Information ◽  
Industrial Environment ◽  
Lean Principles ◽  
Sustainability Criteria ◽  
Manufacturing Techniques ◽  
Organizational Architecture ◽  
A Current

Industry 4.0 paradigms have a positive influence on standard operating procedures, methodologies used in Lean Manufacturing techniques and management models with sustainability criteria. Interdependencies and correlations have been found between Lean systems and Industry 4.0. The Lean principles of avoiding waste and zero defects are related to the cloud and big data paradigms. In a current workplace, there has been an exponential increase in digital information and the need to generate direct commitments to environmental management. This situation forces us to innovate and improve the management methodologies and models used in the industrial environment. The Lean 6S methodology must adapt and respond to new demands. In this work, an update of the Lean 6S methodology is carried out to guarantee increased productivity in the workplace through the organization of industrial resources, both physical and digital. A revision of the implementation procedure is proposed, which includes activities that generate a direct commitment to sustainability and the organization of digital information, through a proposal for an organizational architecture of Industry 4.0 technologies.

scholarly journals Industrial Case Study on Lean Manufacturing Implemented on Manufacturing Polypropylene Ropes Industry Amravati

2021 ◽  
Vol 9 (12) ◽  
pp. 1318-1323
Author(s):  
Vipul Deshpande
Keyword(s):  
Lean Manufacturing ◽  
Manufacturing Industry ◽  
Service Industry ◽  
Developing Economies ◽  
Labour Productivity ◽  
Shop Floor ◽  
Industrial Case Study ◽  
Lean Principles ◽  
Manufacturing Techniques

Abstract: Lean manufacturing has been one of the most standard method in the manufacturing and service industry for elimination of waste. Every manufacturing industry has to put in continuous effort for its survival in the current impulsive and competitive economy. The purpose of this paper is to investigate the adoption of lean manufacturing tools and techniques in the manufacturing industries. This paper is based on actual implementation of lean manufacturing techniques. It focuses on the execution of flow from the start until the end of the implementation, types of analysis and tools applied, evaluation methods and how the industry benefited from the implementation. In this case study we particularly focused on Shop floor management, Quality Management (QM), Supplier and Customer Management (SCM) and Workforce Management (WM). After going through various testing on implementation of Lean Manufacturing principles in Micro Small medium Enterprise (MSME), researcher studied thoughts of some author where they discussed pragmatic problems they overcome while implementing lean principles in developing economies MSME. At the end, the result shows that there is monthly increment in capital productivity and labour productivity. And decrement in inhouse rejection, breakdown hours and customer complaint from the implementation of lean.

Study of Industry 4.0 and its Impact on Lean Transformation in Aerospace Manufacturing

2019 ◽  
Author(s):  
Sagil James ◽  
Alejandro Cervantes
Keyword(s):  
Lean Manufacturing ◽  
Industry 4.0 ◽  
Manufacturing Sector ◽  
Discrete Event ◽  
Hybrid Approach ◽  
Manufacturing Industries ◽  
Lean Principles ◽  
Aerospace Manufacturing ◽  
Lean Transformation

Abstract Lean manufacturing practices focus on minimizing all forms of waste from the production system. The applicability of lean manufacturing concepts and principles has often been questioned in sectors including aerospace manufacturing primarily due to their high variety - low volume environments. The key challenges include the difficulty in changing the factory layout, lack of plant-specific manufacturing strategies, lack of benchmarking between manufacturing plants and non-existence of learning through experimentation culture. Consequently, the aerospace manufacturing industries have struggled to implement lean principles over the years successfully. Industry 4.0 is a new paradigm that is significantly influencing several manufacturing industries across the globe. Applying the concepts of Industry 4.0 along with the conventional lean transformation technology could potentially address these challenges. The focus of this research is to study the possibilities of integrating Industry 4.0 tools with existing lean manufacturing philosophies within the aerospace manufacturing sector in order to improve various aspects of manufacturing processes in a cyber-physical environment. A case study is performed considering a quality inspection department in a typical aerospace industry. The case study is simulated using discrete event simulation tool — Arena. The study found that a hybrid approach involving the holistic merger of the lean principles along with the Industry 4.0 tools known as Lean Industry 4.0 is the best way forward for the aerospace manufacturing sector. The outcomes of this research provide an understanding of the role of industry 4.0 paradigm and their implementation in several other high-technology and high-risk manufacturing sectors including life sciences, space, and defense industries.

scholarly journals Selection the Basic Lean Manufacturing Techniques in Developing the Model for Industry 4.0 in Kosovo Manufacturing Industry

Proceedings ◽  
2020 ◽  
Vol 63 (1) ◽  
pp. 62
Author(s):  
Fatmir Azemi ◽  
Roberto Lujić ◽  
Goran Šimunović ◽  
Daniel Tokody
Keyword(s):  
Literature Review ◽  
Production System ◽  
Lean Manufacturing ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Manufacturing Industries ◽  
Manufacturing Enterprises ◽  
Lean Tools ◽  
Manufacturing Techniques ◽  
Selection Of

Recently, there have been done numerous investigations related to lean manufacturing techniques. However, very little has been reported about the implementation and selection of lean manufacturing in the Kosovo manufacturing industry. This article presents the application of lean tools through Kosovo manufacturing industries and the selection of the most useful lean techniques for developing a model for an innovative smart Kosovo enterprise which is our initiative in the process of preparing Kosovo enterprises for the new age of industry—Industry 4.0. After several visits through Kosovo enterprises, the literature review has noticed that there is no investigation in the selection and implementation of lean techniques and tools in Kosovo enterprises. The purpose was to understand how Kosovo manufacturing enterprises use lean techniques and which are the most useful techniques. Analyses have been done based on interviews and questionnaires. Seven basic lean techniques are selected based on the response from the questionnaire and representing basic lean tools for developing a model of a production system regarding Industry 4.0.

scholarly journals A Theoretical Framework for Industry 4.0 and Its Implementation with Selected Practical Schedules

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 940
Author(s):  
Bożena Gajdzik ◽  
Sandra Grabowska ◽  
Sebastian Saniuk
Keyword(s):  
Digital Technology ◽  
Industry 4.0 ◽  
Theoretical Framework ◽  
Dynamic Changes ◽  
Industrial Environment ◽  
Basic Stage ◽  
Unexplored Area ◽  
Time Frames ◽  
A Current

In recent years, there has been dynamic changes in the industrial environment as a result of further innovations called Industry 4.0 (I.4.0), especially in the field of digital technology and manufacturing. Despite numerous examples of the implementation of Industry 4.0 in enterprises, there is no general framework for the implementation of Industry 4.0 with a detailed schedule. Researching the ways of implementing Industry 4.0 is still a current and unexplored area of research. The main aim of the paper is to present the concept of the theoretical framework for Industry 4.0 implementation based on selected schedules of the Industry 4.0 implementation. The paper was based on information from literature review and analysis of pilot enterprise projects to Industry 4.0 (case study) that were conducted in selected enterprises. The paper presents the key components of the framework of Industry 4.0 and the basic stage of implementing the concept in the enterprises, paying attention to their sequence and time frames. The proposed approach is dedicated to researchers and practitioners who implement the concept of Industry 4.0 in enterprises.

A multicase study approach in Indian manufacturing SMEs to investigate the effect of Lean manufacturing practices on sustainability performance

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sajan M.P. ◽  
Shalij P.R.
Keyword(s):  
Lean Manufacturing ◽  
Assessment Tool ◽  
Positive Influence ◽  
Academic Community ◽  
Content Type ◽  
Lean Principles ◽  
Sustainability Performance ◽  
Study Approach ◽  
Operational Characteristics ◽  
The Relationship

Purpose The purpose of this study is to investigate whether the adoption of Lean manufacturing (LM) contributes towards the sustainability performance of small and medium-sized enterprises (SMEs) in India. Design/methodology/approach The study is based on a multi-case study approach conducted among five independent Indian manufacturing SMEs. The information from direct observation, structured questionnaire interviews with key persons and archival data are used to analyse and cross-check the relationship. An assessment tool, developed using the variables collected from the previous works, is used to measure the relationship. Findings The study provides a solid basis for the contribution and positive influence of LM towards the sustainability performance in SMEs. The manufacturing SMEs that have adopted Lean principles and practices are benefited more towards their economic, environmental and social sustainability performances, irrespective of their operational characteristics such as firm size and final product. Research limitations/implications This is a limited study conducted in a particular state in India by selecting only five independent case companies with divergent operational characteristics such as size of the firms, product and manufacturing process. Originality/value The study contributes by authorising the contribution of LM towards sustainability performance of SMEs. The findings will inspire academic community and industrial practitioners to expend for the adoption of Lean principles looking forward the sustainable development of the SMEs.

scholarly journals Enabling the Circular Economy transition: a sustainable lean manufacturing recipe for Industry 4.0

2021 ◽  
Author(s):  
Cristina Ciliberto ◽  
Katarzyna Szopik‐Depczyńska ◽  
Małgorzata Tarczyńska‐Łuniewska ◽  
Alessandro Ruggieri ◽  
Giuseppe Ioppolo
Keyword(s):  
Circular Economy ◽  
Lean Manufacturing ◽  
Industry 4.0

scholarly journals Motion Planning for a Mobile Humanoid Manipulator Working in an Industrial Environment

2021 ◽  
Vol 11 (13) ◽  
pp. 6209
Author(s):  
Iwona Pajak ◽  
Grzegorz Pajak
Keyword(s):  
Kinetic Energy ◽  
Collision Avoidance ◽  
Industry 4.0 ◽  
Degrees Of Freedom ◽  
Industrial Environment ◽  
Acceleration Level ◽  
Different Types ◽  
Manipulability Measure ◽  
Robotic Tasks ◽  
Primary Problem

This paper presents the usage of holonomic mobile humanoid manipulators to carry out autonomous tasks in industrial environments, according to the smart factory concept and the Industry 4.0 philosophy. The problem of transporting lengthy objects, taking into account mechanical limitations, the conditions for avoiding collisions, as well as the dexterity of the manipulator arms was considered. The primary problem was divided into three phases, leading to three different types of robotic tasks. In the proposed approach, the pseudoinverse Jacobian method at the acceleration level to solve each of the tasks was used. The redundant degrees of freedom were used to satisfy secondary objectives such as robot kinetic energy, the maximization of the manipulability measure, and the fulfillment mechanical and collision-avoidance limitations. A computer example involving a mobile humanoid manipulator, operating in an industrial environment, illustrated the effectiveness of the proposed method.

scholarly journals Reliable Industry 4.0 Based on Machine Learning and IoT for Analyzing, Monitoring, and Securing Smart Meters

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 487 ◽  
Author(s):  
Mahmoud Elsisi ◽  
Karar Mahmoud ◽  
Matti Lehtonen ◽  
Mohamed M. F. Darwish
Keyword(s):  
Machine Learning ◽  
Smart Grids ◽  
Industry 4.0 ◽  
Learning Algorithm ◽  
Cyber Physical Systems ◽  
The Internet ◽  
Smart Meters ◽  
Industrial Environment ◽  
Physical Systems ◽  
Smart Machines

The modern control infrastructure that manages and monitors the communication between the smart machines represents the most effective way to increase the efficiency of the industrial environment, such as smart grids. The cyber-physical systems utilize the embedded software and internet to connect and control the smart machines that are addressed by the internet of things (IoT). These cyber-physical systems are the basis of the fourth industrial revolution which is indexed by industry 4.0. In particular, industry 4.0 relies heavily on the IoT and smart sensors such as smart energy meters. The reliability and security represent the main challenges that face the industry 4.0 implementation. This paper introduces a new infrastructure based on machine learning to analyze and monitor the output data of the smart meters to investigate if this data is real data or fake. The fake data are due to the hacking and the inefficient meters. The industrial environment affects the efficiency of the meters by temperature, humidity, and noise signals. Furthermore, the proposed infrastructure validates the amount of data loss via communication channels and the internet connection. The decision tree is utilized as an effective machine learning algorithm to carry out both regression and classification for the meters’ data. The data monitoring is carried based on the industrial digital twins’ platform. The proposed infrastructure results provide a reliable and effective industrial decision that enhances the investments in industry 4.0.

scholarly journals Filling the void of family leadership: institutional support to business model changes in the Italian Industry 4.0 experience

2021 ◽  
Author(s):  
Marco Cucculelli ◽  
Ivano Dileo ◽  
Marco Pini
Keyword(s):  
Business Model ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Business Models ◽  
Institutional Support ◽  
Negative Influence ◽  
Positive Influence ◽  
External Support ◽  
Family Management ◽  
Family Leadership

AbstractWe examine whether the probability of innovating a company’s business model towards the Industry 4.0 paradigm is affected by external institutional support and family leadership. Industry 4.0 is the information-intensive transformation of global manufacturing enabled by Internet technologies aimed at reinventing products and services from design and engineering to manufacturing. Using a sample of 3000 firms from a corporate survey on the manufacturing industry in Italy, our results showed that family leadership has a significant positive influence on the adoption of Industry 4.0 business models, but only in terms of family ownership. By contrast, family management has a negative influence on the probability of adopting a new business model. However, this negative influence is almost totally offset by the presence of the Triple Helix, i.e. the external support by public institutions and universities, which counterbalances the lower propensity of family managers to adopt Industry 4.0 business models. This supporting role only occurs when institutions and universities act together.

Application of lean practices in small and medium-sized food enterprises

2013 ◽  
Vol 116 (1) ◽  
pp. 125-141 ◽  
Author(s):  
Manoj Dora ◽  
Dirk Van Goubergen ◽  
Maneesh Kumar ◽  
Adrienn Molnar ◽  
Xavier Gellynck
Keyword(s):  
Food Processing ◽  
Lean Manufacturing ◽  
Raw Materials ◽  
Current Status ◽  
Food Sector ◽  
Statistical Process ◽  
Content Type ◽  
Lean Practices ◽  
The Status ◽  
Manufacturing Techniques

Purpose – Recent literature emphasizes the application of lean manufacturing practices to food processing industries in order to improve operational efficiency and productivity. Only a very limited number of studies have focused on the implementation of lean manufacturing practices within small and medium-sized enterprises (SMEs) operating in the food sector. The majority of these studies used the case study method and concentrated on individual lean manufacturing techniques geared towards resolving efficiency issues. This paper aims to analyze the status of the lean manufacturing practices and their benefits and barriers among European food processing SMEs. Design/methodology/approach – A structured questionnaire was developed to collect data. A total of 35 SMEs' representatives, mostly CEOs and operations managers, participated in the survey. The study investigated the role of two control variables in lean implementation: size of the company and country of origin. Findings – The findings show that lean manufacturing practice deployment in food processing SMEs is generally low and still evolving. However, some lean manufacturing practices are more prevalent than others; e.g. flow, pull and statistical process control are not widely used by the food processing SMEs, whereas total productive maintenance, employee involvement, and customer association are more widespread. The key barriers encountered by food SMEs in the implementation of lean manufacturing practices result from the special characteristics of the food sector, such as highly perishable products, complicated processing, extremely variable raw materials, recipes and unpredictable demand. In addition, lack of knowledge and resources makes it difficult for food processing SMEs to embark on the lean journey. Originality/value – The gap in the literature regarding the application of lean manufacturing in the food sector is identified and addressed in this study. The originality of this paper lies in analyzing the current status of the use of lean manufacturing practices among food SMEs in Europe and identifying potential barriers.

Sign in / Sign up

Export Citation Format

Share Document