Search results

The purpose of this paper is to present a road map to implement Lean-Kaizen concept using value stream mapping (VSM) to identify hidden continuous improvement opportunities in a small and medium-sized enterprise (SME) located at the non-capital region of India.

From the collected data, a current state map was prepared that indicated the current operating situation of selected SME. The takt time was calculated and those processes which attained higher cycle time (C/T) than takt time were identified. The continuous flow processing was achieved by adjusting C/T of each process and supermarket pull system was developed to control the production at the workstations. Finally, a future state map was developed that served as a guide for future lean activities. Few problems were identified to realize the future state. The “5-why” analysis was used for identifying root causes of these problems and Kaizen events were proposed as solutions. In this case study, one Kaizen event was identified in which brainstorming technique was used to control the variation caused by unorthodox fixture design for clamping and de-clamping of case product and thus eliminated non-value-added activities performed by the operator on a milling machine.

Before and after implementation of value stream map, the data obtained were analyzed and eliminated rework time, reduced inventory level, reduced lead time and C/T, improved productivity and product quality are presented as finding. Lean-Kaizen provides a better chance for every individual of the industry to have a hand in achieving organization’s goals to attain continuous progress in productivity and quality of the product. Even good understanding of the concept of lean tools and techniques by SMEs, the employee willingness and motivation to identify and eliminate wastes are found feeble.

This study is among best practices to identify hidden improvement opportunities in the regular production of the product to increase productivity and improve quality using value stream map. The research paper gives useful understandings to the lean implementers, Kaizen identifiers, consultants and researchers.

Lean production has been proved to be a cost-effective and efficient means of production that reduces non-valve added activities. Industry 4.0 (I4.0) is a technology-driven platform that allows machines to interact with other systems through artificial intelligence, machine learning, industrial Internet of Things (IoT), etc. that improve the production system with flexibility, quality and customization throughout the whole value chain. New approaches to digitization of lean production have recently been emerged and they are transforming the industry and increasing productivity throughout the value chain. Through this article, an effort has been made to review the research published in this field.

This paper reviews the literature published in various journals, the databases Web of science (WoS), ScienceDirect, Scopus, Emerald etc. were referred with a focus on lean concepts and tools and I4.0 technologies; it has been noticed that the integration of the lean tools with I4.0 technologies is a very effective tool for the industry.

It has been found in the literature published earlier in various journals that lean manufacturing (LM) is commonly acknowledged and considered a best practice to improve the productivity. It is concerned with the tight integration of people into the industrial process through continuous improvement which leads to value addition throughout the whole value chain by eliminating non vale added activities. The findings show that organizations can improve their productivity and flexibility with speed and accuracy by integrating I4.0 technologies with LM, which is foremost need of any industry across the world.

This article accentuates the connections between the principles and tools developed under the umbrella of I4.0 and those developed by the LM techniques, with a specific emphasis on how some of the principles and tools of I4.0 improve the implementation of lean principles dependent on the competence levels of the technology. Very few articles have been published in this area, and this paper is an original piece of research covering a review of extant research published in various journals.

This study aims to measure the research landscape of the solar energy literature published in India during the years 1989–2022, indexed in the Web of Science (WoS) database. The study examines the performance analysis and social network analysis of the literature.

The literature on solar energy published in India and indexed in the WoS between 1989 and 2022 was retrieved using a string of 13 related and synonymous terms as per the Dewey Decimal Classification Scheme and Sears list of Subject Headings. Excluding all other document types, a total of 16,623 journal articles were retrieved. Quantitative and visualization techniques were applied to analyze the data. VOSViewer was used to map the collaborative patterns among different entities.

India has published 16,623 journal articles over 33 years, spanning from 1989 to 2022, with an average annual growth rate of 19.64 and a compound annual growth rate of 16.06. The Department of Science and Technology emerges as the prominent funding agency, while Indian Institute of Delhi (IIT Delhi) is the most productive institute. More than 125 countries collaborate with India in the field, with the USA being the topmost collaborator. Prof. Bhim Singh from IIT Delhi is the most prolific author, while Solar Energy published from the United Kingdom by Elsevier is the most preferred journal.

The study is limited to the WoS’s Core Collection database. Hence, the results cannot be generalized across other databases.

The results of the study will be of extreme importance to the Indian scientific community, policymakers and policy planners, as it may help them in the reorientation of future research directions and the judicious allocation of resources.

The study demonstrates the essentiality of the field by tracking the research progress in the field over time and the importance of collaboration. The study is a valuable tool for identifying trends and assessing the impact of the research.

The purpose of this paper is to discuss the lean implementation process and its quantified benefits for the production industry with the help of value stream mapping (VSM). Both current and future state maps of the organization's shop floor scenarios are discussed using VSM techniques in order to highlight improvement areas and to bridge the gap between the existing state and the proposed state of shop floor of the selected industry.

VSM process symbols are used to discuss lean implementation process in the production industry. The existing status of the selected manufacturing industry is prepared with the help of VSM symbols and improvement areas are identified. Some modifications in current state map are suggested and with these modifications a future state map is prepared.

After comparison of the current and future state of shop floor of the selected industry it is found that reduction in lead time was 83.14 percent, reduction in processing time was 12.62 percent, reduction in work‐in‐process inventory was 89.47 percent, and reduction in manpower requirement was 30 percent. The rise in productivity per operator was 42.86 percent.

The findings are limited due to the focused nature of the case study and further cost‐benefit analysis can be carried out.

This paper will be very useful for the researchers and practitioners for understanding lean implementations and its derived benefits.

The paper is a real case study showing lean implementation and its benefits for the production industry.

The extant literature fails to provide an efficient method to measure leanness of any manufacturing firm. The purpose of this paper is to discuss the concept of leanness and to provide an efficient measurement method for measuring leanness.

Measurement method is based on the judgment and evaluation given by leanness measurement team (LMT) on various leanness parameters such as supplier's issues, investment priorities, Lean practices, and various waste addressed by lean and customers' issues. Further fuzzy set theory is introduced to remove the bias of human judgment and finally defuzzification is done and results are presented in the form of leanness index.

Leanness indices have been developed and presented separately on 100 points scale for all parameters of leanness i.e. LI_Suppliers = 47.98, LI_Investment = 50.66, LI_practices = 58.38, LI_Waste = 60.01, LI_Customers = 47.1.

This leanness measurement method used the views of experts and may contain human judgment error.

It will be helpful to both academician and practitioners as an assessment tool for evaluation of lean status of any industry utilized.

Leanness measurement method based on judgment of experts is used first time for evaluation of leanness.

The purpose of this paper is to explain how value stream mapping (VSM) is helpful in lean implementation and to develop the road map to tackle improvement areas to bridge the gap between the existing state and the proposed state of a manufacturing firm.

Through this case study, the existing stage of manufacturing is mapped with the help of VSM process symbols and the biggest improvement areas like excessive WIP, lead time, cycle time, are identified. Some modifications in current state map are suggested and with these modifications future state map is prepared. Further TAKT time is calculated to set the pace of production processes.

Current state and future state of manufacturing of a firm are compared and witnessed: 92.58 percent reduction in lead time, 2.17 percent reduction in processing time, 97.1 percent reduction in WIP and 26.08 percent reduction in manpower requirement.

The findings are limited due to the focused nature of the case study. VSM can also be applied to the process industry as well as to the service sector.

This case study shows that VSM is a powerful tool for lean implementation and allows every industry to understand and continuously improve its understanding towards lean manufacturing.

This paper is a real case study showing VSM applications for lean implementation.

The purpose of this paper is to discuss a survival strategy for industry in recessionary time by means of lean principles and philosophies.

The paper presents the views of the authors regarding the application of lean principles and philosophies to overcome recession, followed by interaction with industrial personnel about recession, its effects and prevention.

Recessionary time is the time for industries to follow lean guidelines and to look in to their business chain from raw material to end customer in order to remove all types of waste.

The paper provides some real help as to how to survive in recession as there is little published research on this topic.

Value stream mapping (VSM) is a visualization tool to identify and eliminate waste and widely applied in manufacturing, transportation, construction, service and other industries, especially in the Industrial 4.0 technology era. The purpose of this paper is to review and analyze the VSM literature to identify the advances and hotspots of VSM literature.

Taking the VSM literature collected from the Web of Science Core Collection database as the research samples, this research used the bibliometric and keyword co-occurrence analysis to analyze the publication trend, research topics and their contents of VSM from concept integration, application sectors and technology expansion.

With the development of research, the latest research integrates conceptual integration, application departments and technology expansion to develop more complex research designs. It can be integrated with simulation, six sigma, big data, Internet of Things and other technologies to expand the analysis and design ability of VSM, which enhances the adaptability of VSM to various scenarios.

This research contributes to VSM literature by conducting a systematic review based on the citation structure within VSM research and identifies the established and emerging areas of research on VSM.

To identify the factors that need to be addressed by Indian industry to steeply ramp up its production and productivity in the coming years, so as to achieve the goal of the country becoming a 5 trillion dollar economy by 2025.

Lean Management Leaders in Indian Industry (LMLII), i.e. those companies in India who are well known for having adopted TQM, BE and Lean methods for many years, and achieved success in their business) in Indian industry were selected and surveys were done between 2013 and 2017, to assess the status of LM adoption, by using the LESAT (version 2.0) survey tool. A longitudinal empirical study has been done, over a period of five years, so that the identification of factors is based on a few years’ data rather than a one year, spot-check or snapshot view. A new method, titled the ‘Three Step Reverse Exploratory Factor Analysis Procedure (TSREP)’, has been attempted to identify the ‘root causes’.

LMLII's have improved in their adoption of LM over these years by about 10%. The root causes that can help in further advancement in adoption have been identified and classified under six component factors.

The identification of LMLII's has been done based on the experience and views of experts in TQM/ BE/ Lean in India. Since this is a first of such study (viz., the term LMLII is being defined and used for the first time), this methodology has been adopted. However, in future, a systematic way to assess the criteria for LMLII's could be designed. Secondly, the sample size of LMLII's needs to be fully representative of the industry.

By using the results of this study, Indian companies can accelerate their LM adoption programmes, leading to quantum jumps in production and productivity, so as to achieve the 5 trillion USD economy by 2025. The practical implications are immense.

Since LM is a bundle of Lean, TQM and BE, companies adopting LM will, due to the inclusion of waste reduction through 5S, JIT, kaizens and continuous improvement, address the Triple Bottom Line (TBL) protocol of the UN. TBL has comprehensive implications on society and environment, climate change and sustainability of business.

This work is original, at least in three ways. First, in the use of the concept of ‘LML’. Second, there is no previous longitudinal study done on Indian industry in LM. Third, the TSREP is being used for the first time. The value of this research is in its findings, in the identification of key factors for future growth and the use of a novel technique for improving upon the accuracy, analytical rigour and legitimacy of the results.