A Fuzzy Design of Single and Double Acceptance Sampling Plans

Kahraman, Cengiz; Bekar, Ebru Turanoglu; Şenvar, Özlem

doi:10.1007/978-3-319-24499-0_7

Cited by 12 publications

(3 citation statements)

References 25 publications

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“…A fuzzy SSP is developed by [32] where the plan parameters were considered as fuzzy numbers. Further, developments in fuzzy acceptance sampling plans for attributes can be seen in [34], [28] and [27]. Consequently, the uncertainty in the fraction of defectives in the MDS sampling plan for attributes is addressed in [1] and [3].…”

Section: Introductionmentioning

confidence: 99%

Design of generalized fuzzy multiple deferred state (GFMDS) sampling plan for attributes

Thomas¹,

Kumar²

2023

Preprint

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A sampling plan is a pilot tool for a supply and demand chain quality check strategy. These plans proved to be economically viable for the quality inspection processes but the uncertainty in the plan parameters challenged the reliability of the application of traditional acceptance sampling plans. This study proposes a generalized fuzzy multiple deferred state (GFMDS) sampling plan for attributes that consider the ambiguity in determining the exact value of the percentage of defectives in a batch. The performance measures have been derived and the plan is designed in terms of a minimum average sample number. A comparison study is done over the existing fuzzy acceptance sampling plans for attributes and a pertinent observation is made regarding the efficiency of the GFMDS scheme. The effect of inspection errors on the sampling procedure is analyzed and the drop in the acceptance criteria of the plan is observed corresponding to the intensified inspection errors. Several numerical examples are presented to validate the results.

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Section: Introductionmentioning

confidence: 99%

Design of generalized fuzzy multiple deferred state (GFMDS) sampling plan for attributes

Thomas¹,

Kumar²

2023

Preprint

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“…A note on FASP and characteristic curves were given by Turano glu et al (2012). FASP was further studied by Kahraman et al (2016). Later Chukhrova and Johannssen (2018) developed inspection tables for SSP where the quality limits are considered as crisp and fuzzy in nature.…”

Section: Introductionmentioning

confidence: 99%

Cost optimization of acceptance sampling plan in a fuzzy supply chain environment

Thomas,

Kumar

2023

IJQRM

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PurposeThe purpose of the paper is set to minimize the total cost of a manufacturing system when an acceptance sampling plan (ASP) is carried out in a fuzzy environment.Design/methodology/approachA fuzzy acceptance sampling plan (FASP) is employed for the inspection of the batch of products and a fuzzy cost optimization problem is formulated.FindingsThe extent of uncertainty determines an interval for the total cost function with upper and lower bounds. The effect of variation in the ambiguity of the proportion of defectives in the probability of acceptance is determined.Practical implicationsThe proposed model is specifically designed for production and supply units with ASP for attributes. Still, the proportion of defectives in the inspection process is fuzzy.Originality/valueFuzzy probability distribution is used to model an optimal inspection plan for a general supply chain. Economic design of supply chain under fuzzy proportion of defectives is discussed for the first time.

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“…Sadeghpour Gildeh et al [19] designed a single sampling plan using fuzzy parameters. Kahraman et al [21] designed single and double sampling plans using fuzzy approach. The PCIs using fuzzy logic can be seen in [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Inspection Plan Based on the Process Capability Index Using the Neutrosophic Statistical Method

Aslam

Albassam

2019

Mathematics

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The Process Capability Index (PCI) has been widely used in industry to advance the quality of a product. Neutrosophic statistics is the more generalized form of classical statistics and is applied when the data from the production process or a product lot is incomplete, incredible, and indeterminate. In this paper, we will originally propose a variable sampling plan for the PCI using neutrosophic statistics. The neutrosophic operating function will be given. The neutrosophic plan parameters will be determined using the neutrosophic optimization solution. A comparison between plans based on neutrosophic statistics and classical statistics is given. The application of the proposed neutrosophic sampling plan will be given using company data.

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A Fuzzy Design of Single and Double Acceptance Sampling Plans

Cited by 12 publications

References 25 publications

Design of generalized fuzzy multiple deferred state (GFMDS) sampling plan for attributes

Design of generalized fuzzy multiple deferred state (GFMDS) sampling plan for attributes

Cost optimization of acceptance sampling plan in a fuzzy supply chain environment

Inspection Plan Based on the Process Capability Index Using the Neutrosophic Statistical Method

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