This research is concerned with attribute sampling inspection procedures in which the decision criterion for each lot dictates one of three dispositions; (1) accept the lot, (2) reject the lot, or (3) conditionally accept or reject the lot based on the disposition of other related lots. These sampling procedures will supplement several types of dependent state sampling procedures developed within research years. The primary objective of most dependent state sampling procedures was to give consideration to the quality of previously inspected lots in the judgement criterion of a current lot, with respect to acceptance or rejection of this lot. Deferred state sampling procedures, on the other hand, give consideration to the quality of future l...
Acceptance sampling plans are practical tools for quality control applications, which involve qualit...
The most significant advancement in the field of quality control have occurred since the 1920\u27s w...
A methodology for determining optimal sampling plans for Bayesian multiattribute acceptance sampling...
The major objective of this research is the development of attribute acceptance sampling plans invol...
This paper proposes a multiple dependent (or deferred) state sampling plan by variables for the insp...
The purpose of acceptance sampling is to develop decision rules to accept or reject production lots ...
Lot-by-Lot acceptance sampling plans provide the practitioner with decision rules for acceptance or ...
This paper refers to the rectifying sampling inspection plans with given lot tolerance percent defec...
We propose a new multiple dependent state sampling plan which comprises the features of existing mul...
In this study, performance of single acceptance sampling plans by attribute is investigated by using...
In this paper, a mixed multiple dependent state sampling plan based on the process capability index ...
This paper extends the idea of multiple dependent state sampling plans to the case of using process ...
In this research, multiple dependent state and repetitive group sampling are used to design a variab...
Background: Acceptance sampling is a statistical tool of quality control. Sampling plans and operati...
In this paper, the modification of multiple dependent state sampling plan is proposed and designed f...
Acceptance sampling plans are practical tools for quality control applications, which involve qualit...
The most significant advancement in the field of quality control have occurred since the 1920\u27s w...
A methodology for determining optimal sampling plans for Bayesian multiattribute acceptance sampling...
The major objective of this research is the development of attribute acceptance sampling plans invol...
This paper proposes a multiple dependent (or deferred) state sampling plan by variables for the insp...
The purpose of acceptance sampling is to develop decision rules to accept or reject production lots ...
Lot-by-Lot acceptance sampling plans provide the practitioner with decision rules for acceptance or ...
This paper refers to the rectifying sampling inspection plans with given lot tolerance percent defec...
We propose a new multiple dependent state sampling plan which comprises the features of existing mul...
In this study, performance of single acceptance sampling plans by attribute is investigated by using...
In this paper, a mixed multiple dependent state sampling plan based on the process capability index ...
This paper extends the idea of multiple dependent state sampling plans to the case of using process ...
In this research, multiple dependent state and repetitive group sampling are used to design a variab...
Background: Acceptance sampling is a statistical tool of quality control. Sampling plans and operati...
In this paper, the modification of multiple dependent state sampling plan is proposed and designed f...
Acceptance sampling plans are practical tools for quality control applications, which involve qualit...
The most significant advancement in the field of quality control have occurred since the 1920\u27s w...
A methodology for determining optimal sampling plans for Bayesian multiattribute acceptance sampling...