Process-targeting model for a product with two dependent quality characteristics using acceptance sampling plans

Duffuaa, Salih O.; Al‐Turki, Umar M.; Kolus, Ahmet

doi:10.1080/00207540701644243

Cited by 18 publications

(4 citation statements)

References 43 publications

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“…Duffuaa, et al [33] proposed another PTM to increase the profit by assuming the independent characteristics of quality for a two-stage process. This PTM was also modified using acceptance sampling by Duffuaa, et al [34] to achieve the same objectives. Recently, Multi-Objective Optimization (MOO) problem has been explored to find out the value of process parameters: income, profit and product uniformity [35][36][37].…”

Section: Literature Reviewmentioning

confidence: 99%

Effect of Time-Varying Factors on Optimal Combination of Quality Inspectors for Offline Inspection Station

et al. 2019

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With advanced manufacturing technology, organizations like to cut their operational cost and improve product quality, yet the importance of human labor is still alive in some manufacturing industries. The performance of human-based systems depends much on the skill of labor that varies person to person within available manpower. Much work has been done on human resource and management, however, allocation of manpower based on their skill yet not investigated. For this purpose, this study considered offline inspection system where inspection is performed by the human labor of varying skill levels. A multi-objective optimization model is proposed based on Time-Varying factors; inspection skill, operation time and learning behavior. Min-max goal programming technique was used to determine the efficient combination of inspectors of each skill level at different time intervals of a running order. The optimized results ensured the achievement of all objectives of inspection station: the cost associated with inspectors, outgoing quality and inspected quantity. The obtained results proved that inspection performance of inspectors improves significantly with learning and revision of allocation of inspectors with the proposed model ensure better utilization of available manpower, maintain good quality and reduce cost as well.

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Section: Literature Reviewmentioning

confidence: 99%

Effect of Time-Varying Factors on Optimal Combination of Quality Inspectors for Offline Inspection Station

et al. 2019

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“…But, in the industry, there are many situations where manufacturing of the product is based on several production stages or processes. For example, in fire extinguisher manufacturing, cylinders pass through various processes before they are finally produced, as described in Duffuaa et al 18 According to Duffuaa et al, 18 products are processed through several stages and more than one process impacts on product quality characteristics.…”

Section: Introductionmentioning

confidence: 99%

Designing of an attribute control chart for two-stage process

Aslam

Azam

Kim

2018

Measurement and Control

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In practice, the products can be manufactured through several stages. In this manuscript, we will propose an attribute control chart plotting the number of defectives for a two-stage process. The in-control average run length is derived and the out-of-control average run lengths are also analyzed according to the process shifts in the first and/or the second stage process. The tables of the average run lengths are given for various specified parameters. An example is given with synthetic data for the illustration of the proposed control chart.

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“…On the other hand, the probabilities of the variable and attribute sampling schemes in the dependent mixed sampling plans are dependent each other. The combination of sampling plans by attributes and variables for the lot sentencing has been widely used to save the cost of product inspection and to offer more information about the product inspection . To reduce the average sample number (ASN), Malik recommended a modified mixed sampling plan where resampling decision is based on the concept of marginal quality.…”

Section: Introductionmentioning

confidence: 99%

Two New Independent Mixed Sampling Plans for Inspecting a Product with Linear Profiles

Wang

Tamirat

2016

Quality & Reliability Eng

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Acceptance-sampling plans have been widely used to decide whether an inspection lot should be accepted or rejected. From an economical point of view, a mixed sampling plan is better than the attribute sampling plan. In this paper, we present two new independent mixed sampling plans based on the yield index for linear profiles. The first plan is based on the traditional mixed sampling scheme, and the second plan is based on the modified mixed sampling scheme with marginal quality. A nonlinear optimization model determines the plan parameters that the criterion is to meet the specification of two points on the operating characteristic curve. We found that the number of profiles required in the first stage is smaller than in the second stage. The results confirm that the independent plan with marginal quality is superior to the independent plan and the single and double sampling plans by attributes in terms of average sample number. Two real examples are used to illustrate the proposed plans.

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Process-targeting model for a product with two dependent quality characteristics using acceptance sampling plans

Cited by 18 publications

References 43 publications

Effect of Time-Varying Factors on Optimal Combination of Quality Inspectors for Offline Inspection Station

Effect of Time-Varying Factors on Optimal Combination of Quality Inspectors for Offline Inspection Station

Designing of an attribute control chart for two-stage process

Two New Independent Mixed Sampling Plans for Inspecting a Product with Linear Profiles

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