The economic order quantity model with inspection policy of zero-defect single sampling

Nakhaeinejad, Mahdi

doi:10.1108/ijqrm-10-2020-0338

Cited by 3 publications

(2 citation statements)

References 23 publications

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“…In this research, variables with a total correlation coefficient of less than 0.3 will be taken out (Clair, 2019;Ligita et al, 2020). Cronbach's alpha coefficient of more than 0.6 means that the scale is reliable (Liu et al, 2020;Nakhaeinejad, 2022;Xie & Xiang, 2022). Exploratory factor analysis is being used to see if the component variables can be used to tell things apart.…”

Section: Research Method Sampling and Questionnaire Designmentioning

confidence: 99%

Crucial Factor Affecting Generation Y’s commitment to the Malaysian IT sector: A Cross-Sectional Study

Sherief

RAMAMOORTHY

2023

IJIRP

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Today, a company's success or failure is determined more by its employees than by any other factor, including natural resources, technology, or economies of scale, all of which can be replicated with rel-ative ease. Generation Y employees are sometimes referred to as the "next generation of workers," yet contrary to popular belief, several sources claim that this group is less devoted to remaining with a single employer than its predecessors. The increasing incidence of staff turnover has become an urgent problem. The purpose of this research is to determine what factors influence Gen Y workers in Malay-sia's IT sector to remain loyal to their employers over time. Organizational justice, managerial support, job satisfaction, and work-life balance were the independent variables examined, and their effects on the dependent variable, job satisfaction, were calculated (organizational commitment). It was easy to choose a sample of 195 responders from among the IT professionals who work for Selangor-based businesses. Having a positive influence on organizational commitment were factors including distribu-tive and procedural justice, job satisfaction, and work-life balance. Understanding the causes of em-ployees' dedication to the company is essential. Organizations may benefit greatly from the study's findings by tailoring their strategy, pay plans, management styles, and human resource procedures to the preferences of Generation Y workers, who are more likely to be committed to their employers as a result. The results, taken as a whole, show that the factors of organizational justice, managerial support, job happiness, and work-life balance are significantly influential in shaping the organizational commit-ment of Generation Y workers in the IT sector of Malaysia.

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Section: Research Method Sampling and Questionnaire Designmentioning

confidence: 99%

Crucial Factor Affecting Generation Y’s commitment to the Malaysian IT sector: A Cross-Sectional Study

Sherief

RAMAMOORTHY

2023

IJIRP

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“…Sampling plans reduce inspection scope by considering acceptable risks (Linβ, 2018, p. 387). Nakhaeinejad (2022) describes a model which includes a single sampling plan whose sample size is adapted according to the order quantity with the aim to optimize inventory management and quality control. Saminathan and Mahalingam (2018) develop a mixed sampling plan which uses the process capability index to reduce the sample size while securing quality.…”

Section: Literature Reviewmentioning

confidence: 99%

Auto-encoder-based algorithm for the selection of key characteristics for products to reduce inspection efforts

Greipel

Frank

Huber

et al. 2022

IJQRM

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PurposeTo ensure product quality within a manufacturing process, inspection processes are indispensable. One task of inspection planning is the selection of inspection characteristics. For optimization of costs and benefits, key characteristics can be defined by which the product quality can be checked with sufficient accuracy. The manual selection of key characteristics requires substantial planning effort and becomes uneconomic if many product variants prevail. This paper, therefore, aims to show a method for the efficient determination of key characteristics.Design/methodology/approachThe authors present a novel Algorithm for the Selection of Key Characteristics (ASKC) based on an auto-encoder and a risk analysis. Given historical measurement data and tolerances, the algorithm clusters characteristics with redundant information and selects key characteristics based on a risk assessment. The authors compare ASKC with the algorithm Principal Feature Analysis (PFA) using artificial and historical measurement data.FindingsThe authors find that ASKC delivers superior results than PFA. Findings show that the algorithms enable the cost-efficient selection of key characteristics while maintaining the informative value of the inspection concerning the quality.Originality/valueThis paper fills an identified gap for simplified inspection planning with the method for the efficient selection of key features via ASKC.

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The economic production quantity model with optimal single sampling inspection

Nakhaeinejad

2023

IMA Journal of Management Mathematics

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This paper derives an inspection policy for an economic production quantity (EPQ) model under the assumption that a process may produce non-conforming (NC) items. In various stages of a production process, a department receiving an order uses a single sampling inspection policy to detect NC items. Under such a policy, a lot is accepted if the number of NC items in the inspected sample is equal to or less than the acceptance number. The proposed model considers both EPQ- and quality-related costs. Moreover, economic production order quantity, sample size, and acceptance number are considered decision variables. A numerical example is presented, and a set of sensitivity analysis are provided to highlight the effectiveness of the proposed model. The results reveal that when the inspection cost is high, the classical EPQ model achieves a lower expected total cost for the production system compared to the EPQ model with the inspection. In contrast, when the NC cost is high, the EPQ model with the inspection policy outperforms the classical EPQ model, which can significantly decrease the expected total cost.

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The economic order quantity model with inspection policy of zero-defect single sampling

Cited by 3 publications

References 23 publications

Crucial Factor Affecting Generation Y’s commitment to the Malaysian IT sector: A Cross-Sectional Study

Crucial Factor Affecting Generation Y’s commitment to the Malaysian IT sector: A Cross-Sectional Study

Auto-encoder-based algorithm for the selection of key characteristics for products to reduce inspection efforts

The economic production quantity model with optimal single sampling inspection

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