Improving the performance of manufacturing systems with continuous sampling plans

Cao, Yongxin; Subramaniam, Velusamy

doi:10.1080/0740817x.2012.733485

Cited by 16 publications

(7 citation statements)

References 32 publications

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“…The integrated production, CSP-1 and maintenance models proposed in this paper can be applied for continuous production systems subject to reliability and quality deteriorations, whose inspection is only performed at the end of production, and where both closed-loop productioninventory control and sampling plans are effective such as in the electronics and semiconductor industries (see Antila et al, 2008;Cao and Subramaniam, 2013;Mok, 2009). Managerial implications for implementing those integrated models require a real-time visibility and control of operations, WIP, finished products inventory, products quality and inspection rate.…”

Section: Resultsmentioning

confidence: 99%

Joint economic design of production, continuous sampling inspection and preventive maintenance of a deteriorating production system

Bouslah

Gharbi

Pellerin

2016

International Journal of Production Economics

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Standard continuous sampling procedures and tables are conventionally applicable only to continuous production processes that are statistically 'in-control'. Consequently, these standards cannot be used to control quality in deteriorating production processes. Moreover, existing continuous sampling models do not consider interactions with production, inventory and maintenance aspects. In this paper, we attempt to fill these gaps in the literature. We investigate the joint design and optimization of a type-1 continuous sampling plan (CSP-1), make-to-stock production and preventive maintenance of a stochastic production system subject to both quality and reliability deteriorations. Two models of CSP-1 are considered and compared: the classical CSP-1 as in the standard procedures, and a CSP-1 plan with a stopping rule that is combined with condition-based maintenance. For both models, the optimization problem is to minimize the total incurred cost under a constraint on the outgoing quality. A combination of mathematical formulation, simulation and optimization techniques is used to solve such stochastic and constrained problems. Numerical examples are given to illustrate the resolution approach and to highlight some interesting aspects in the interactions between production, inventory, quality, maintenance and reliability. The results obtained demonstrate that sampling inspection plans realize significant cost savings compared to the 100% inspection which is commonly used in the literature of integrated models, and that using the CSP-1 with an inspection stopping rule for deteriorating processes is more costeffective than the classical CSP-1.

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Section: Resultsmentioning

confidence: 99%

Joint economic design of production, continuous sampling inspection and preventive maintenance of a deteriorating production system

Bouslah

Gharbi

Pellerin

2016

International Journal of Production Economics

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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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“…Dependent mixed plans combine the results of the first and second samples in making a decision if a second sample is necessary. In the past 15 years, the combination of sampling plans by attributes and by variables for the lot sentencing has been widely used to save the cost of the inspection and to offer more information about the product inspection . In some cases, all items from the sample are inspected by variables, but the remainder of rejected lots is inspected only by attributes.…”

Section: Introductionmentioning

confidence: 99%

“…In the past 15 years, the combination of sampling plans by attributes and by variables for the lot sentencing has been widely used to save the cost of the inspection and to offer more information about the product inspection. [10][11][12][13][14][15] In some cases, all items from the sample are inspected by variables, but the remainder of rejected lots is inspected only by attributes. Klufa 16 introduced the LTPD plans for inspection by variables and attributes which is called a single mixed sampling plan.…”

Section: Introductionmentioning

confidence: 99%

Single Mixed Sampling Plan Based on Yield Index for Linear Profiles

Wang

2015

Qual. Reliab. Engng. Int.

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Acceptance sampling plans have been widely used to decide whether an inspection lot from a supplier should be accepted or rejected. According to an economical point of view, a mixed sampling plan is better than the sampling plan by attributes. In some situations, lot sentencing can be determined by sampling plans by attributes and by variables simultaneously on the same product. In this paper, we propose a single mixed acceptance sampling plan based on the yield index for linear profiles for lot sentencing. The plan parameters are determined by minimizing sample size through a nonlinear optimization method such that the producer's risk and the consumer's risk are satisfied simultaneously for given values of acceptable quality level and limiting quality level. The results indicate that our proposed plan outperforms the single attributes sampling plan in terms of the sample size. One real example is used to illustrate the proposed method.

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Improving the performance of manufacturing systems with continuous sampling plans

Cited by 16 publications

References 32 publications

Joint economic design of production, continuous sampling inspection and preventive maintenance of a deteriorating production system

Joint economic design of production, continuous sampling inspection and preventive maintenance of a deteriorating production system

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

Single Mixed Sampling Plan Based on Yield Index for Linear Profiles

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