lean tools
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2022 ◽  
Vol 3 (2) ◽  
pp. 247-252
Author(s):  
Pravin Ukey ◽  
Akash Deshmukh ◽  
Alokik Arora
Keyword(s):  

2021 ◽  
Vol 3 (5) ◽  
pp. 4151-4156
Author(s):  
Lucio Garcia Veraldo Junior ◽  
Theresa Cristina Gonçalves Venuto ◽  
Ramon Oliveira Borges dos Santos
Keyword(s):  

A Indústria 4.0 representa a nova Revolução Industrial em desenvolvimento. Apresenta como um dos principais pilares a melhoria contínua, redução do tempo e maior flexibilidade nos processos de produção. Nesse contexto, é possível identificar que as tecnologias habilitadoras estão transformando os processos industriais e a forma como os produtos são produzidos, colaborando para a criação de uma nova cadeia de valor. Nesse contexto, a Filosofia Lean está no aperfeiçoamento da qualidade nos processos de produção, redução de problemas e em consequência a redução dos custos. A investigação do trabalho foi desenvolvida com o objetivo de atender as necessidades de conhecimento acadêmico sobre as ferramentas Lean e as ferramentas que compõem a Indústria 4.0. Analisando como ambas a ferramentas podem integrar-se e contribuir para a indústria 4.0 como um todo.


2021 ◽  
Vol 12 (9) ◽  
pp. s856-s864
Author(s):  
Ingrid Teixeira do Nascimento ◽  
Maria Eduarda Alves da Silva ◽  
Gabriel Rodrigo de Souza Gama ◽  
Ana Carla de Souza Gomes dos Santos ◽  
Genildo Nonato Santos

The concept of Industry 4.0 is very recent and has not been fully consolidated, and, for this reason, comprehensive implementations by the industrial sector may not be prudent. Studies show that only fundamentals of Industry 4.0 do not guarantee characteristics such as quality, for example, in production processes. Thus, lean production concepts are probably being used together to cover deficiencies in Industry 4.0. In this work, a literature review is proposed that points out where lean production tools are being used in the production processes of Industry 4.0. Using the results of this search, an analysis of the most important lean production tools, which appear in the works, has been made. The analysis has shown what is being used, in terms of the lean tools, in the production processes of Industry 4.0, and what improvements are provided from these tools.


Author(s):  
Teuku Mirwan Saputra ◽  
◽  
Zulfa Fitri Ikatrinasari ◽  
Andira Taslim ◽  
◽  
...  

Reducing direct labor costs can be used to create a low operation cost as the way for winning future markets including injected automotive components. This paper aims to provide an overview of direct labor costs reduction in injected automotive components through a U-shaped cellular layout as part of the lean concept. Over a decade, many types of research had already used the lean concept to solve problems in production activity through lean tools. In this paper, several lean tools such as Takt time, value stream mapping, and U-shaped cellular will be used for reducing direct labor costs that have increased yearly in Indonesia since 2015. Those lean tools will be performed in a job-shop of injected automotive components. After performing the U-shaped cellular layout, the direct labor costs were reduced to 25 % by combining the job held by two operators to become one operator.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahesh Babu Purushothaman ◽  
Jeff Seadon ◽  
Dave Moore

Purpose This study aims to highlight the system-wide potential relationships between forms of human bias, selected Lean tools and types of waste in a manufacturing process. Design/methodology/approach A longitudinal single-site ethnographic case study using digital processing to make a material receiving process Lean was adopted. An inherent knowledge process with internal stakeholders in a stimulated situation alongside process requirements was performed to achieve quality data collection. The results of the narrative analysis and process observation, combined with a literature review identified widely used Lean tools, wastes and biases that produced a model for the relationships. Findings The study established the relationships between bias, Lean tools and wastes which enabled 97.6% error reduction, improved on-time accounting and eliminated three working hours per day. These savings resulted in seven employees being redeployed to new areas with delivery time for products reduced by seven days. Research limitations/implications The single site case study with a supporting literature survey underpinning the model would benefit from testing the model in application to different industries and locations. Practical implications Application of the model can identify potential relationships between a group of human biases, 25 Lean tools and 10 types of wastes in Lean manufacturing processes that support decision makers and line managers in productivity improvement. The model can be used to identify potential relationships between forms of human biases, Lean tools and types of wastes in Lean manufacturing processes and take suitable remedial actions. The influence of biases and the model could be used as a basis to counter implementation barriers and reduce system-wide wastes. Originality/value To the best of the authors’ knowledge, this is the first study that connects the cognitive perspectives of Lean business processes with waste production and human biases. As part of the process, a relationship model is derived.


2021 ◽  
Vol 10 (4) ◽  
pp. e001432
Author(s):  
Wade A Weigel ◽  
Andrew B Lyons ◽  
Justin S Liberman ◽  
C Craig Blackmore

BackgroundAwake fibreoptic intubation is a complex advanced airway technique used by anaesthesiologists in the management of a difficult airway. The time to setup this important procedure can be significant which may dissuade its use by some providers. In our institution, the awake intubation setup process was highly variable and error prone.MethodsWe deployed Lean methods to improve the efficiency and accuracy of the awake fibreoptic intubation setup process. A 2-day improvement event with a multidisciplinary team addressed the setup process, tested solutions and created standard work documents. Twenty awake fibreoptic intubation simulations were conducted before and after the intervention to quantify gains in setup efficiency and error reduction.ResultsVariability in the setup process, including clinical locations visited, was reduced through creating a standardised process. The average time to for an awake fibreoptic intubation setup was reduced by approximately 50%, from 23 min to 11 min (p<0.001). In addition, awake fibreoptic intubation equipment set out without error increased in the postintervention simulations from 59% to 85% (p=0.003).ConclusionUsing Lean tools, we were able to make the setup of awake fibreoptic intubation not only more efficient, but also more accurate. A similar methodological approach may have value for other complex anaesthesia procedures.


2021 ◽  
Vol 5 (2) ◽  
pp. 63-73
Author(s):  
Kukhan S ◽  
Bhuvanesh Kumar M

Lean manufacturing (LM) is established as a best practice to improve the performance of manufacturing industries. Not all the manufacturing industries realize the benefits of LM practices specifically continuous process industries. The present research work is intended to study the advantages of implementing LM practices in an ethical paper industry which is a continuous production industry. Presently, the industry suffers with the problems such as lack of productivity, raw material wastes, underutilized resources, and lack of standard practices in the production. Gemba technique is adapted to record the information related to the present manufacturing environment. Based on the current state analysis, the feasible lean tools are selected and implemented such as 5S, Kaizen, and Total Productive Maintenance (TPM). The improvements have been noted as reduced tool change over time, reduced material wastes, effective utilization of resources and provide safety guidelines to workers and operations. The implications of these improvements increased the productivity also.


2021 ◽  
Author(s):  
Syed Abreez Gillani ◽  
Charanjot Singh ◽  
Nilesh Raj ◽  
Hamdan Al-Musaibeli ◽  
Pramod Panta ◽  
...  

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ali Jaber Naeemah ◽  
Kuan Yew Wong

PurposeThe purpose of this paper is (1) to review, analyze and assess the existing literature on lean tools selection studies published from 2005 to 2021; (2) to identify the limitations faced by previous studies; and (3) to suggest future works that are necessary to facilitate the selection of lean tools.Design/methodology/approachA systematic approach was used in order to identify, collect and select the articles. Several keywords related to the selection of lean tools were used to collect articles from different Scopus indexed journals. Next, the study systematically reviewed and analyzed the selected papers to identify the lean tools' selection method and discussed its features and limitations.FindingsAn analysis of the results showed that previous studies have adopted two types of methods for selecting lean tools. First, there are various traditional methods being used. Second, multi-criteria decision-making (MCDM) methods were commonly used in previous studies, such as the multi-objective decision-making method (MODM), single multi-attribute decision-making (MADM) methods and hybrid (MCDM). Moreover, the study revealed that the lean tools' selection methods in previous studies were based on evaluating the relationship between either lean tools and performance metrics or lean tools and waste, or both.Research limitations/implicationsIn terms of its theoretical value, the study is considered as an extension of the previous researches performed on this topic by determining and analyzing the features of the most selection methods of lean tools. Unlike previous review papers, this review had considered discussing and analyzing the characteristics and limitations of these methods. Section 2.2 of this paper reviewed some of the categories of MCDM methods as well as some of the traditional methods used in the selected previous studies. Section 2.1 of this paper explained the concept of lean management and its application benefits. Further, only three sectors were covered by the previous studies in this review paper. This study also provided recommendations for future research. Therefore, it provided researchers with a good conception of how to conduct the studies on lean tools selection. Besides, knowing the methods used in previous studies can help researchers develop new methods to select the best set of lean tools. That is, this study provided and advanced the existing knowledge base for researchers concerning lean tools selection, especially there is limited availability of review papers on this topic. Moreover, the study showed researchers the importance of the relationship between lean tools and indicators or/and performance indicators to determine the appropriate set of lean tools so that the results of future studies will be more realistic and acceptable.Practical implicationsPractically, manufacturers face a significant challenge when selecting proper lean tools. This study may enhance managers, manufacturers and company's knowledge to identify most of the methods used to choose the best set of lean tools and what are the advantages, disadvantages and limitations of these methods as well as the latest studies that have been adopted in this topic. That means this study can direct companies to prioritize the application of lean tools depending on either the manufacturing performance metrics or/and manufacturing wastes so that they avoid incorrect application of lean tools, which will add more non-value added activities to operations. Therefore companies can decrease the time and cost losses and enhancing the quality and efficiency of the performance. Correctly implementing the best set of lean tools in companies will lead in general to correctly applying lean management in corporations. Therefore, these lean tools can boost the economic aspect of companies and society through reducing waste, improving performance indicators, preserving time and cost, achieving quality, efficiency, competitiveness, boosting employee income and improving the gross domestic product. The correct lean tool selection reduces customer complaints and employee stress and improves work conditions, health, safety and labor wellbeing. Besides, the correct lean tools selection improves materials usage, energy usage, water usage and decreases liquid wastes, solid wastes and air emissions. As a result, the right selection of lean tools will have positive effects on both the environment and society. The study may also encourage manufacturers and researchers to adopt studies on lean tools selection in small- and medium-sized companies because the study referred to the importance and participation of these kinds of companies in a large proportion of the economy of developing countries. Further, the study may encourage some countries that have not previously adopted this type of study, academically and industrially to conduct lean tools selection studies.Social implicationsAs mentioned previously, the correct lean tool selection reduces customer complaints and employee stress and improves work conditions, health, safety and labor wellbeing. The proper lean tools selection improves materials usage, energy usage, water usage and decreases liquid wastes, solid wastes and air emissions. As a result, the right choice of lean tools will positively affect both the environment and society.Originality/valueThe study expanded the efforts of previous studies concerning lean management features. It provided an accurate review of most lean tools selection studies published from 2005 to 2021 and was not limited to the manufacturing sector. It further identified and briefly described the selection methods concerning lean tools adopted in each paper.


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