Kaizen implementation context and performance

Spasojević-Brkić, Vesna; Tomić, Branislav; Perišić, Martina; Brkić, Aleksandar

doi:10.5937/jemc2001031s

Cited by 4 publications

(2 citation statements)

References 12 publications

(7 reference statements)

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“…to their usage pattern by means of factor analysis and reliability testing: quality tools for reviewing current conditions, for analysing current conditions and for production planning and control, according to [9]. Regrettably, there are a lot of examples of inadequately thought out quality improvement initiatives that fell short of expectations [10], [11].…”

Section: Introductionmentioning

confidence: 99%

"Improve" and "Control" tools in assembly of micro components: A case study

Janev,

Spasojević-Brkić,

Misita

et al. 2023

Tehnika

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The process of assembling micro components requires careful planning where precise and reliable data collecting is necessary due to a short production cycle time. After determining the shortages of the current data monitoring system, in this paper, by using the "Improve" and "Control" phases of DMAIC cycle, the development and later testing of a new tool for automatic capture and analysis of data obtained from the machine was done. SWOT analysis was used to establish the production site's and current manufacturing execution system strengths and weaknesses, opportunities and threats, which were then utilized to create the newly developed solution accurate and feasible. A tool calibration data was obtained on 9 machines in automotive company's micro component assembly unit. To confirm the accuracy of the data, a RunAtRate test was done on the machines, and by using hypothesis testing, the initial reliability of the new solution was determined. Further testing and comparison revealed that the newly proposed tool recorded 73-80% greater downtime and 40-50% more defective parts than the previously installed system. Accordingly, the usefulness of the proposed Lean Six SIGMA tool is confirmed, and for periodic accuracy checks and further improvement, it is necessary to apply the PDCA cycle.

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Section: Introductionmentioning

confidence: 99%

"Improve" and "Control" tools in assembly of micro components: A case study

Janev,

Spasojević-Brkić,

Misita

et al. 2023

Tehnika

Self Cite

View full text Add to dashboard Cite

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“…As a required base for support systems, data and information can be considered the primary assets of a firm, and most organizations strive to collect and process as much data as possible (Bendoly, 2016;Demirkan et al, 2013). In order to increase the quality of the collected data as a result of increased business performance, it is necessary to have a desire for constant process improvement (Spasojević et al, 2020). When better quality of data about production elements and processes is available, it should be used to improve the system performance, by a constant cycle of improvement (Lee, 2018).…”

Section: Introductionmentioning

confidence: 99%

Production Planning and “Define, Measure and Analysis“ Tools in Automotive Industry as Prerequisite of Automation: A Case Study

Janev,

Spasojević Brkić,

Misita

et al. 2023

19th International Scientific Conference on Industrial Systems

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For the production planning process to be successful, an enterprise's internal business processes must be effective and efficient, while the DMAIC cycle is important aspect of practice-based continuous improvement. In accordance to those facts, this preliminary research includes the first part of the DMAIC methodology -"define" and "measure" tools, applied to a case study in automotive industry, with the aim of improving production planning processes. Analysis in "define" phase starts with SIPOC, continues with calculation of critical indicators in "measure" phase and is followed by Pareto charts. Research shows that the existing method of manual collection of production data is not precise enough, and during two months observation period, between 14 and 52 percent of planned production time on 9 observed machines, passed as unnoticed downtime. Further data analysis showed that this time is 1.5 to 9 times higher than the total reported downtime on individual machines. Results show that the further development of data collection tools is crucial, and the recommendation is to move in the direction of automation of that process in order to make the most of available technical resources, in "improve" phase and to "control" it by statistical comparison of previous and new state indicators.

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Differences in Kaizen implementation between countries and industry types in multinational supply chain

Spasojević-Brkić,

Tomić,

Perišić

et al. 2023

FME Transactions

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Previous research shows that Kaizen's benefits are multiple and evident, but its practices in the supply chain have been sufficiently examined now. Conversely, we are witnessing numerous issues in contemporary global supply networks. In this survey, after conducting a literature review, three research questions regarding Kaizen modes of usage were formulated and tested on the sample of 195 enterprises that are part of the global supply chain, located in 31 countries, and active in two different types of industries - aircraft, and transportation. A combined approach containing descriptive statistics, reliability, factor analysis, and statistical hypothesis testing by Kruskal-Wallis one-way ANOVA and Mann-Whitney U tests were used. Results show significant differences between Kaizen practices applied in countries such as Italy, the United Kingdom, Canada, the USA, Japan, and China, where national and corporate cultures differ. Kaizen implementation significantly differs between companies operating in the aircraft and transportation sectors, which is unsurprising since aircraft industry has a higher formalization level. The goal to determine the differences in Kaizen practices around the globe was fulfilled since statistically significant differences indicate the importance of the contextual factors and connect adverse and Kaizen events.

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Kaizen implementation context and performance

Cited by 4 publications

References 12 publications

"Improve" and "Control" tools in assembly of micro components: A case study

"Improve" and "Control" tools in assembly of micro components: A case study

Production Planning and “Define, Measure and Analysis“ Tools in Automotive Industry as Prerequisite of Automation: A Case Study

Differences in Kaizen implementation between countries and industry types in multinational supply chain

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