Value chain analysis of total quality control, quality performance and competitive advantage of agricultural SMEs

Kahar, A.; A., Muh. Ikbal; Tampang, Tampang; Masdar, Rahma; Masrudin, Masrudin

doi:10.5267/j.uscm.2021.11.008

Cited by 3 publications

(2 citation statements)

References 1 publication

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“…Dutta et al [25] investigated the digitization priorities of quality control processes for SMEs, a conceptual study in the context of Industry 4.0 adoption. For more detail, we refer interested readers to [26][27][28][29][30]. There are two types of control charts used in statistical quality control processes: control charts for attributes and control charts for variables.…”

Section: The Attribute Control Chartsmentioning

confidence: 99%

A New Sine-Based Distributional Method with Symmetrical and Asymmetrical Natures: Control Chart with Industrial Implication

Alshanbari,

Rao,

Seong

et al. 2023

Symmetry

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Control charts are widely used in quality control and industrial sectors. Because of their important role, researchers are focusing on the development of new control charts. According to our study, there is no significant amount of published work on control charts using trigonometrically generated distribution methods. In this paper, we contribute to this interesting research gap by developing a new control chart using a sine-based distributional method. The proposed distributional method (or family of probability distributions) may be called a new modified sine-G family of distributions. Based on the new modified sine-G method, a novel modification of the Weibull distribution, namely, a new modified sine-Weibull distribution, is introduced. The new modified sine-Weibull distribution is flexible enough to capture symmetrical and asymmetrical behaviors of its density function. An industrial application is considered to show the importance and implacability of the proposed distribution in quality control. Based on the proposed model, an attribute control chart is developed under a truncated life test. The control chart limits (ARLs) are also computed for the proposed model. The ARLs of the proposed control chart are compared with the attribute control chart of the Weibull distribution. The results show that the developed chart is more efficient than the existing attribute control chart for the Weibull distribution.

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Section: The Attribute Control Chartsmentioning

confidence: 99%

A New Sine-Based Distributional Method with Symmetrical and Asymmetrical Natures: Control Chart with Industrial Implication

Alshanbari,

Rao,

Seong

et al. 2023

Symmetry

View full text Add to dashboard Cite

show abstract

“…The researchers estimated system reliability regarding the expected number of failures and their occurring probabilities, time, and distances between failures. Other research (Youssef & ElMaraghy, 2008;Iqbal, 2020;Mabrouk, 2020;Chiu et al, 2021a,b;Dewi et al, 2021;Di Nardo et al, 2021;Patil et al, 2021;Rouhani et al, 2021;Gupta et al, 2022;Kahar et al, 2022;Kaviyarasu and Sivakumar, 2022) studied diverse characteristics of equipment failures' impact and their corresponding actions of product defects on the controlling and managing fabrication systems.…”

Section: Introductionmentioning

confidence: 99%

Minimizing operating expenditures for a manufacturing system featuring quality reassurances, probabilistic failures, overtime, and outsourcing

Chiu¹,

Chiu²,

Pai³

et al. 2023

10.5267/j.ijiec

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Production management operating in recent competitive marketplaces must satisfy the client desired quality and shorter order lead-time and avoid internal fabricating disruption caused by inevitable defects and stochastic equipment failures. Achieving these operational tasks without undesirable quality goods, missing due dates, and fabrication interruption help the management minimize operating expenditures. Motivated by assisting manufacturing firms in the situations mentioned this study explores a manufacturing system that features quality reassurances through reworking or removal of defectives, correction of probabilistic failures, and partial overtime and outsourcing options for reducing uptime. This study finds the function of system operating expenditures through model building, mathematical formulations, optimization approaches, and algorithm proposition, shows its convexity, and derives the optimal batch time for the studied manufacturing model. Finally, this study offers numerical illustrations to confirm our work’s applicability and disclose its capability to provide various profound crucial system information that helps the management make strategic operating decisions.

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Value chain analysis of total quality control, quality performance and competitive advantage of agricultural SMEs

Kahar¹,

A.²,

Tampang³

et al. 2022

10.5267/j.uscm

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This study aims to examine the contribution of the application of total quality control in improving quality performance and its consequences for the creation of competitive advantage. The research method used is a verification survey method to describe the empirical conditions of the production process activities at SMEs producing cocoa in Central Sulawesi Province. The analytical tool used is path analysis with a two-stage regression approach to examine the structural relationship between variables. The results show that total quality control consisting of employee empowerment, employee training and teamwork culture had a significant effect on improving the quality performance of cocoa SMEs. The consequences of improving quality performance are proven to mediate employee empowerment, employee training, and a culture of teamwork in creating a competitive advantage for cocoa SMEs in Central Sulawesi Province.

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Value chain analysis of total quality control, quality performance and competitive advantage of agricultural SMEs

Cited by 3 publications

References 1 publication

A New Sine-Based Distributional Method with Symmetrical and Asymmetrical Natures: Control Chart with Industrial Implication

A New Sine-Based Distributional Method with Symmetrical and Asymmetrical Natures: Control Chart with Industrial Implication

Minimizing operating expenditures for a manufacturing system featuring quality reassurances, probabilistic failures, overtime, and outsourcing

Value chain analysis of total quality control, quality performance and competitive advantage of agricultural SMEs

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