The Experts below are selected from a list of 13359 Experts worldwide ranked by ideXlab platform

Chungho Chen - One of the best experts on this subject based on the ideXlab platform.

  • process quality improvement based on the application of rectifying sampling Inspection Plan
    Journal of Industrial and Production Engineering, 2019
    Co-Authors: Chungho Chen, Chaoyu Chou
    Abstract:

    In 1996, Pulak and Al-Sultan provided a rectifying sampling Inspection Plan for determining the optimal process mean, by assuming that the quality characteristic is larger-the-better and is normall...

  • optimal process mean and standard deviation settings for rectifying sampling Inspection Plan with quality investment
    Journal of Statistics and Management Systems, 2019
    Co-Authors: Chungho Chen
    Abstract:

    AbstractIn this paper, the rectifying sampling Inspection Plan with quality investment for the product lot is used in the determination of optimal process mean and standard deviation. Consider the ...

  • optimum process mean setting based on variable sampling Plan with producer s and consumer s risks
    Journal of Statistics and Management Systems, 2016
    Co-Authors: Chungho Chen
    Abstract:

    AbstractIn this paper, the author applies a variable sampling Inspection Plan with the producer’s and consumer’s risks on the operational characteristic curve for setting the optimum process mean. Assume that the quality characteristic of a one-sided lower specification limit product is normally distributed. The process standard deviation is known but the process mean is unknown. The rectifying Inspection Plan is adopted when the lot of product is rejected. The optimum process mean and the parameters of single variable sampling Inspection Plan are simultaneously determined by maximizing the expected total profit per unit under the specified producer’s and consumer’s risks. The numerical results show that (1) the unit price of product for the accepted lot, the production cost per unit, and the specification limit have a major effect on the expected total profit per unit; (2) the process standard deviation and the lot tolerance percent defective have a moderate effect on the expected total profit per unit

  • simultaneous settings of order quantity wholesale price production run length process mean and warranty period
    Journal of Management Analytics, 2016
    Co-Authors: Chungho Chen, Chaochin Kan
    Abstract:

    In this article, the authors propose a modified version of S.L. Chen and Liu's model with a two-stage production system. Assume that the retailer's order quantity is concerned with the manufacturer's selling price and the warranty period of product. The used cost of the customer is measured under the Taguchi's quadratic quality loss function and concluded in the retailer's profit function. The quality of the lot for the manufacturer is determined by adopting a two-stage single sampling rectifying Inspection Plan. The modified economic manufacturing quantity (EMQ) model is addressed in formulating the manufacturer's expected profit. The retailer's order quantity, manufacturer's wholesale price, production run length, process mean, and warranty period of product will be jointly determined by maximizing the total expected profit of the supply chain system including the manufacturer and the retailer. Finally, the quality investment policy is introduced to illustrate the profit improvement for the supply chain...

  • simultaneous determination of manufacturer s process mean and production run length and retailer s order quantity
    Journal of Management Analytics, 2016
    Co-Authors: Chungho Chen, Chaoyu Chou, Chaochin Kan
    Abstract:

    In Chen and Liu's optimum profit model with a traditional production system, they did not consider the effect of product quality on the customer's demand order quantity, and also ignored the used cost of customers for product. In fact, the customer's demand quantity is always seriously related to product quality. Hence, in the present paper, we modify Chen and Liu's model to address the determination of the optimal process parameters by employing the idea of quality loss and single sampling rectifying Inspection Plan. Assuming that the quality characteristic of the product is normally distributed, Taguchi's symmetric quadratic quality loss function is applied in evaluating the product quality. Three decision variables, i.e., the mean of the process characteristic, the production run length of the product and the retailer's order quantity, are jointly determined in our modified model to maximize the expected total profit of society, which includes both the manufacturer and the retailer. A heuristic solutio...

Salih O Duffuaa - One of the best experts on this subject based on the ideXlab platform.

  • determining economic manufacturing quantity the optimum process parameters based on taguchi quadratic quality loss function under rectifying Inspection Plan
    Industrial Engineering and Engineering Management, 2011
    Co-Authors: Ismail Almeraj, Yahya Cinar, Salih O Duffuaa
    Abstract:

    The problem of determining the optimal economic manufacturing quantity and the optimal process parameters is an important problem in production and quality control. This problem has been addressed by Chen and Lai using profit maximization as a criterion to obtain the optimal manufacturing quantity and the mean of the process. In this paper Chen and Lai has been extended to determine the optimal manufacturing quantity, the mean and the variance of the process and the specification limits using rectifying Inspection. The simulated annealing approach has been applied to obtain the optimal solution. The utility of the model is demonstrated via a realistic example. The model developed can be utilized to determine the optimal economic manufacturing quantity and process target simultaneously and is expected to provide more insights in managing this important problem.

  • a general repeat Inspection Plan for dependent multicharacteristic critical components
    European Journal of Operational Research, 2008
    Co-Authors: Salih O Duffuaa, Mehmood Khan
    Abstract:

    Abstract A component is critical if it causes disaster or a very high cost upon failure. Multicharacteristic critical components exist in many systems. Such components could be a part of an aircraft, space shuttle, a special weapon system or a gas ignition system. In many situations, characteristics’ failures of these components are statistically dependent. In this paper, a new Inspection Plan for such components is proposed. A mathematical model that depicts the Plan is developed and an example demonstrating the results of the model is given. The advantage of this model over the other model where independence of the characteristics’ failure is assumed for the case of dependency is illustrated. The model resulted in an average of 32.4% reduction in cost compared to the situation where the dependency case is solved assuming statistical independence.

  • impact of Inspection errors on the performance measures of a general repeat Inspection Plan
    International Journal of Production Research, 2005
    Co-Authors: Salih O Duffuaa, Mehmood Khan
    Abstract:

    Multi-characteristic critical components exist in many systems. Such components may be a part of an aircraft, space shuttle or a gas ignition system. An Inspection Plan for such components has been proposed in quality control that deals with several types of classification errors made by the inspector. In this paper, performance measures for this Plan are defined and the statistical and economic impact of the several types of Inspection errors on these measures is investigated. The impact of the errors is studied by conducting sensitivity analysis on the errors utilizing computer software which implements an algorithm that determines the optimal parameters of the model of the Plan. The behaviour of the performance measures upon variation in the levels of errors is investigated. The results indicate that these errors have a considerable effect on the performance measures of the Inspection Plan.

  • an optimal repeat Inspection Plan with several classifications
    Journal of the Operational Research Society, 2002
    Co-Authors: Salih O Duffuaa, Mehmood Khan
    Abstract:

    Multicharacteristic critical components exist in many systems. Such components could be a part of an aircraft, space shuttle or a gas ignition system. A component is critical if it causes disaster or a very high cost upon failure. In this paper, a new Inspection Plan for critical multicharacteristic components is presented. A mathematical model that depicts the Plan is developed. An algorithm is proposed for finding the optimal number of repeat Inspections and the sequence of characteristics for Inspection that minimizes expected total cost per accepted component. The expected cost consists of the cost of Inspection and the cost of misclassifications. The Inspection Plan and the model developed generalize existing models in the literature and provide a more realistic formulation. An example is given to demonstrate the Plan and the model.

  • impact of Inspection errors on performance measures of a complete repeat Inspection Plan
    International Journal of Production Research, 1996
    Co-Authors: Salih O Duffuaa
    Abstract:

    In quality assurance of critical multicharacteristic components complete repeat Inspection Plans have been proposed to guard against Inspection errors. The optimal number of repeat Inspections is determined using a model for the Plan which minimizes the total expected cost, which consists of the cost of false acceptance, cost of false rejection and cost of Inspection. In this paper performance measures for such Plans are defined and then the statistical and economic impact of Inspection errors on these measures is investigated. The impact of the errors is studied by conducting sensitivity analysis on the errors utilizing a computer software which implements an algorithm that determines the optimal parameters of the model of the Plan. Then the levels of the errors are varied and the behaviour of the performance measured are observed. Results indicate that the impact of type I and type II errors are significant and have considerable effect on the performance measures of complete repeat Inspection Plans. Als...

Mehmood Khan - One of the best experts on this subject based on the ideXlab platform.

  • a general repeat Inspection Plan for dependent multicharacteristic critical components
    European Journal of Operational Research, 2008
    Co-Authors: Salih O Duffuaa, Mehmood Khan
    Abstract:

    Abstract A component is critical if it causes disaster or a very high cost upon failure. Multicharacteristic critical components exist in many systems. Such components could be a part of an aircraft, space shuttle, a special weapon system or a gas ignition system. In many situations, characteristics’ failures of these components are statistically dependent. In this paper, a new Inspection Plan for such components is proposed. A mathematical model that depicts the Plan is developed and an example demonstrating the results of the model is given. The advantage of this model over the other model where independence of the characteristics’ failure is assumed for the case of dependency is illustrated. The model resulted in an average of 32.4% reduction in cost compared to the situation where the dependency case is solved assuming statistical independence.

  • impact of Inspection errors on the performance measures of a general repeat Inspection Plan
    International Journal of Production Research, 2005
    Co-Authors: Salih O Duffuaa, Mehmood Khan
    Abstract:

    Multi-characteristic critical components exist in many systems. Such components may be a part of an aircraft, space shuttle or a gas ignition system. An Inspection Plan for such components has been proposed in quality control that deals with several types of classification errors made by the inspector. In this paper, performance measures for this Plan are defined and the statistical and economic impact of the several types of Inspection errors on these measures is investigated. The impact of the errors is studied by conducting sensitivity analysis on the errors utilizing computer software which implements an algorithm that determines the optimal parameters of the model of the Plan. The behaviour of the performance measures upon variation in the levels of errors is investigated. The results indicate that these errors have a considerable effect on the performance measures of the Inspection Plan.

  • an optimal repeat Inspection Plan with several classifications
    Journal of the Operational Research Society, 2002
    Co-Authors: Salih O Duffuaa, Mehmood Khan
    Abstract:

    Multicharacteristic critical components exist in many systems. Such components could be a part of an aircraft, space shuttle or a gas ignition system. A component is critical if it causes disaster or a very high cost upon failure. In this paper, a new Inspection Plan for critical multicharacteristic components is presented. A mathematical model that depicts the Plan is developed. An algorithm is proposed for finding the optimal number of repeat Inspections and the sequence of characteristics for Inspection that minimizes expected total cost per accepted component. The expected cost consists of the cost of Inspection and the cost of misclassifications. The Inspection Plan and the model developed generalize existing models in the literature and provide a more realistic formulation. An example is given to demonstrate the Plan and the model.

Dan M Frangopol - One of the best experts on this subject based on the ideXlab platform.

  • Inspection and monitoring Planning for rc structures based on minimization of expected damage detection delay
    Probabilistic Engineering Mechanics, 2011
    Co-Authors: Sunyong Kim, Dan M Frangopol
    Abstract:

    Abstract The deterioration mechanism of reinforced concrete (RC) structures under corrosion is highly dependent on environment and material properties. Uncertainties in structural damage occurrence and propagation due to corrosion should be considered in a rational way using a probabilistic approach. In this study, such an approach is proposed to establish a life-cycle optimum Inspection Plan under uncertainty. This Plan leads to cost-effective maintenance interventions, considering uncertainties associated with damage occurrence/propagation and Inspection methods. Uncertainties associated with prediction of damage occurrence time are considered by using the Monte Carlo simulation. A damage detectability function is used to assess the quality of Inspection method according to damage intensity. The Inspection Planning is formulated as an optimization problem with the objective of minimizing the expected damage detection delay. This formulation is further used for optimum monitoring Planning. Effects of number of Inspections and/or monitoring actions, quality of Inspection, monitoring duration, and uncertainties associated with damage occurrence/propagation are investigated. The proposed approach is applied to an existing highway bridge. This approach can be used to develop cost-effective management strategies by considering effects of damage detection delay on life-cycle cost and performance of deteriorating structures.

  • optimum Inspection Planning for minimizing fatigue damage detection delay of ship hull structures
    International Journal of Fatigue, 2011
    Co-Authors: Sunyong Kim, Dan M Frangopol
    Abstract:

    Fatigue is one of the main factors which can produce cracks, and lead to failure of ships. For these structures, damage occurrence and propagation due to fatigue are affected by the action of sea water waves and the sea environment as well as operation, fabrication, and modeling of ship structures under uncertainties. In order to efficiently maintain the safety of ship structures, an optimum Inspection Plan should be made by considering these uncertainties using a probabilistic approach. In this paper, such an approach is presented and applied to ship hull structures subjected to fatigue. The resulting Inspection Plan is the solution of an optimization problem based on the minimization of expected fatigue damage detection delay. Damage detection delay will produce the maintenance delay which, in turn, is likely to endanger the serviceability and even the survival of the structure. The formulation of the expected damage detection delay includes uncertainties associated with damage occurrence, propagation, and detection. The effects of the quality and number of Inspections on the optimum Inspection Planning are investigated. A well-balanced Inspection Planning is considered as a solution of an optimization problem with two conflicting criteria. This well-balanced Inspection Planning provides optimum Inspection types and times. Furthermore, the cost-effective Inspection Plans are designed to provide the optimum strategy either by considering a single type or multiple types of Inspections.

Yer Van Hui - One of the best experts on this subject based on the ideXlab platform.

  • economic design of a complete Inspection Plan with interactive quality improvement
    European Journal of Operational Research, 1997
    Co-Authors: Yer Van Hui
    Abstract:

    Abstract Consider the monitoring of an ongoing production process subject to complete Inspection. Inferior quality products are either reworked or scrapped to assure good outgoing quality. Whenever the quality characteristic of a product exceeds a predetermined action limit, remedial action is taken to restore the process to an in-control state. In addition, the decision maker has a learning opportunity to improve the process by investing in resources to identify and eliminate the causes of deviation from the target quality. Taking a learning action would improve the mean value of the quality characteristic of items produced in an out-of-control state. This paper proposes a cost model to determine the optimal number of learning actions to be taken and the optimal action limit. The model considers the trade-off between quality cost and process improvement cost.

  • economic design of a complete Inspection Plan with feedback control
    International Journal of Production Research, 1991
    Co-Authors: Yer Van Hui
    Abstract:

    This paper studies production control with complete Inspection where every finished product is subject to variable Inspection. Two process states, in-control and out-of-control, are assumed. If the Inspection signals that the process is out of control, remedial action is taken to restore the process to the in-control state. Inspected items are either accepted with a quality cost or reworked according to the observed quality characteristic. Specification limits and action limits are derived from an economic model.