Improve Productivity and Quality Using Lean Six Sigma: A Case Study

Anh, Vo Ngoc Mai; Anh, Hoang Kim Ngoc; Huy, Vo Nhat; Huy, Huynh Gia; Ly, Minh Huong Phu

doi:10.47392/irjash.2023.016

Cited by 26 publications

(2 citation statements)

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“…The technology products of this Industry 4.0 system are applied directly in the induction heat treatment process and the operators of this Industry 4.0 system are the induction heat treatment machine operator, maintenance technicians, and technical staff. production technicians and managers at the company [55][56]. These industry 4.0 operators and users have varying degrees and experience in operating induction heat treatment machines.…”

Section: 𝐵𝐻𝑁 =mentioning

confidence: 99%

Reduce Power Energy Cost Using Hybrid Six Sigma Based on Fuzzy MADM: A Case Study in Mechanical Factory

Duc,

Bilik,

Martinek

2024

IEEE Access

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Production costs are always the top concern of company managers in improving production and business efficiency. The cost of energy is one of the major costs that manufacturing companies must pay. This research paper proposes a Hybrid Six Sigma method based on fuzzy Multi-Attribute Decision Making (MADM), Industry 4.0, and digital numerical control (DNC). A fuzzy MADM method to select problems to improve and build an Industry 4.0 system with Internet of Things (IoT) devices, calling for automatic machining programs using Radio Frequency Identification (RFID) systems and management. Manage production equipment maintenance system using a digital numerical control (DNC) system. Measuring industry 4.0 system user satisfaction in manufacturing using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results of research on applying industry 4.0 techniques to the induction heat treatment process eliminate the dependence on worker skills and simplify the operation of the induction heat treatment process. Improve employee satisfaction with process operating conditions. Reduce the cost of electrical energy arising due to the coil maintenance system by applying the Industry 4.0 system. The result after the improvement is that the defect rate decreased from 47.2% to 4.9%. In terms of money, the reduction in losses due to defects is reduced from 6,593 USD per year to 549 USD per year. This research paper builds a sample continuous improvement model to apply to other production processes at other manufacturing companies in terms of applying industry 4.0 systems with IoT devices such as RFID and barcode readers in operations. automatically call the machining program of the machining machine and build an autonomous and preventive maintenance system using the industry 4.0 system to make improvements in process automation, smart data management, and analytics, using Internet of Things (IoT) to connect devices in the production process create a flexible production process.

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Section: 𝐵𝐻𝑁 =mentioning

confidence: 99%

Reduce Power Energy Cost Using Hybrid Six Sigma Based on Fuzzy MADM: A Case Study in Mechanical Factory

Duc,

Bilik,

Martinek

2024

IEEE Access

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“…Initially, the Kaizen term was only used within Japanese companies gradually. Kaizen is disseminated globally and exported to continuous improvement standards in ISO 9001: 2015 [1]. Continuous improvement activities are active that mechanical production companies always love the top.…”

Section: Introductionmentioning

confidence: 99%

Quality Improvement for Sleeve Shirt X Using Lean Six Sigma Approach at PT X

Sutrisno

2023

ijcsrr

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PT X, a key player in the garment industry, faces operational challenges, including inefficient motion in packing and product defects. Current state analysis reveals a lead time of 3,424.90 seconds, with a value-added time of 3,054.90 seconds. Direct observations attribute motion wastage during packing to suboptimal hand movements, stemming from inadequate training in motion time measurement. The future state map proposes packing process improvements through motion time measurement, reducing time from 87.27 to 86.32 seconds, with a lead time of 3,423.95. From January to December 2014, total production reached 239,359 units, with 30,702 defective products. The main defect, stitch breakage in short-sleeved shirts ‘X,’ occurred 15,386 times. Current process capability stands at 3.690 Sigma. Using the 5W+1H method, addressing the root cause of stitch breakage reduced defects to 15,316, with process capability improving to 3.952 Sigma, a 0.262 improvement. Post-improvement analysis estimates an added value in quality costs at Rp1,943,297,372. Lean Six Sigma implementation aims to minimize defects and lead times, enhancing profitability.

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A Study on Awareness of Environmental Accounting and Reporting With Special Reference to Employees of Thrissur District

S¹,

T.S²

2023

IJETMS

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Green Accounting is a popular term for environmental and natural resource accounting. It is an expanding field focused on factors like resource management and environmental impact, in addition to company’s revenue and expenses. An attempt has been made to analyse the importance of Environmental accounting and reporting. The awareness level of Environmental accounting and Reporting was also examined. Green accounting will help organisations to identify the resource utilization and incurred cost. Practically for developing countries like India, it is a twin problem about saving environment and economic development. This method records costs and benefits of a business concern.

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Improve Productivity and Quality Using Lean Six Sigma: A Case Study

Cited by 26 publications

References 0 publications

Reduce Power Energy Cost Using Hybrid Six Sigma Based on Fuzzy MADM: A Case Study in Mechanical Factory

Reduce Power Energy Cost Using Hybrid Six Sigma Based on Fuzzy MADM: A Case Study in Mechanical Factory

Quality Improvement for Sleeve Shirt X Using Lean Six Sigma Approach at PT X

A Study on Awareness of Environmental Accounting and Reporting With Special Reference to Employees of Thrissur District

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