Quality improvement by variance reduction of component using learning investment allocation model

Rosyidi, Cucuk Nur; Nugroho, Aris Wahyu; Jauhari, Wakhid Ahmad; Suhardi, Bambang; Hamada, Koichi

doi:10.1109/ieem.2016.7797903

Cited by 5 publications

(6 citation statements)

References 15 publications

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“…The difference between both total costs are IDR.77,925,275 and IDR. 51,923,693 for SSM and Rosyidi, Nugroho et al (2016) respectively. The costs show that the SSM performs better in quality improvement than Rosyidi, Nugroho et al (2016).…”

Section: Numerical Examplementioning

confidence: 99%

“…51,923,693 for SSM and Rosyidi, Nugroho et al (2016) respectively. The costs show that the SSM performs better in quality improvement than Rosyidi, Nugroho et al (2016). The better improvement in quality loss of the SSM needs 77.4% higher learning investment than Rosyidi, Nugroho et al (2016).…”

Section: Numerical Examplementioning

confidence: 99%

“…developed a variation reduction model for quality improvement to minimize investment and quality costs by considering suppliers' learning curve. Later, Rosyidi, Nugroho, Jauhari, Suhardi and Hamada (2016) developed an optimization model about quality improvement through variance reduction of component by investment allocation in learning.…”

Section: Previous Research On Quality Improvement With Learning and Fmentioning

confidence: 99%

“…The allocation of funds must be managed so that it can be used to make learning investments until the end of the cycle. Tables 17-19 show We also compare the SSM in this paper with the model of Rosyidi, Nugroho et al (2016). The main difference between those two models is the existence of forgetting curve in SSM which was not considered yet in Rosyidi, Nugroho et al (2016).…”

Section: Numerical Examplementioning

confidence: 99%

“…Tables 17-19 show We also compare the SSM in this paper with the model of Rosyidi, Nugroho et al (2016). The main difference between those two models is the existence of forgetting curve in SSM which was not considered yet in Rosyidi, Nugroho et al (2016). The results of the optimization in term of quality loss and learning investment are shown in Table 23.…”

Section: Numerical Examplementioning

confidence: 99%

See 4 more Smart Citations

Two stages optimization model on make or buy analysis and quality improvement considering learning and forgetting curve

Pratama

Rosyidi

Pujiyanto

2018

JIEM

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Purpose:The aim of this research is to develop two stages optimization model on make or buy analysis and quality improvement considering learning and forgetting curve. The first stage model is developed to determine the optimal selection of process/suppliers and the component allocation to the selected process/suppliers. The second stage model deals with quality improvement efforts to determine the optimal investment to maximize Return on Investment (ROI) by taking into consideration the learning and forgetting curve.Design/methodology/approach: The research used system modeling approach by mathematically modeling a system which consists of a manufacturer with multi suppliers where the manufacturer tries to determine the best combination of their own processes and suppliers to minimize certain costs and provides funding for quality improvement efforts for their own processes and suppliers. Findings:This research provides better decisions in make or buy analysis and to improve the components by quality investment considering learning and forgetting curve. Research limitations/implications:This research has limitations concerning investment fund that assumed to be provided by the manufacturer which in the real system the fund may be provided by the suppliers. In this model, we also do not differentiate between two types of learning, namely autonomous and induced learning.Practical implications: This model can be used by a manufacturer to gain deeper insight in making decisions concerning process/suppliers selection along with component allocation and how to improve the component by investment allocation to maximize ROI.Originality/value: This paper combines two models, which in previous research both models are discussed separately. The inclusion of learning and forgetting also gives a new perspective in quality investment decision.

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Section: Numerical Examplementioning

confidence: 99%

Section: Numerical Examplementioning

confidence: 99%

Section: Previous Research On Quality Improvement With Learning and Fmentioning

confidence: 99%

Section: Numerical Examplementioning

confidence: 99%

Section: Numerical Examplementioning

confidence: 99%

See 3 more Smart Citations

Two stages optimization model on make or buy analysis and quality improvement considering learning and forgetting curve

Pratama

Rosyidi

Pujiyanto

2018

JIEM

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Product quality improvement model considering quality investment in rework policies and supply chain profit sharing

2019

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The aim of this paper is to develop an optimization model for quality improvement by considering quality investment in rework policies and supply chain profit sharing. To improve product's quality, the decision of process target and its tolerance is important since it directly affects the defective rate, manufacturing cost, and loss to customer due to the deviation of product from its specification. In this research, two rework policies are considered. In the first policy, the rework is done by using the same manufacturing facility, while in the second policy a new process facility was added for rework. Quality improvement in the supply chain environment is also necessary. Hence, profit sharing system is added in the model to strengthen the commitment of the suppliers in improving component quality. In the system, the manufacturer shares the profits to the supplier if the supplier can meet or exceed the quality target specified by the manufacturer. A comparison is given to determine the best quality improvement policy between those two policies considering profit sharing system. From the results of the optimization, the managers can make economic investment decision economically to correct a defective product through cost optimization model and to choose the best option toward the goal of least unit production cost. By using this model, the decision-maker can evaluate any quality investment in order to achieve significant financial return.

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Two-stage optimization model for process/supplier selection, component allocation, and quality improvement

Rosyidi

Pratama

2018

Cogent Engineering

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Quality improvement by variance reduction of component using learning investment allocation model

Cited by 5 publications

References 15 publications

Two stages optimization model on make or buy analysis and quality improvement considering learning and forgetting curve

Two stages optimization model on make or buy analysis and quality improvement considering learning and forgetting curve

Product quality improvement model considering quality investment in rework policies and supply chain profit sharing

Two-stage optimization model for process/supplier selection, component allocation, and quality improvement

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