Browsing by Author "Su, R. H."

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An effective powerful test for one-sided supplier selection problem
(2011)
Pearn, W. L.
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Hung, H. N.
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Chuang, Y. S.
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Su, R. H.
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統計學研究所
In this paper, we consider the supplier selection problem, which deals with comparing two one-sided processes and selecting a better one that has a higher capability. We first review two existing approximation approaches, and an exact approach proposed which we refer to as the division method. We then develop a new exact approach called the subtraction method. We compare the two exact methods on the selection power. The results show that the proposed subtraction method is indeed more powerful than the division method. A two-phase selecting procedure is then developed based on the subtraction method for practical applications. Some computational results are tabulated for practitioners' convenience.
Optimal production run time for two-stage production system with imperfect processes and allowable shortages
(2011-12-01)
Pearn, W. L.
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Su, R. H.
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Weng, M. W.
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Hsu, C. H.
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工業工程與管理學系
This paper considers a two-stage production system with imperfect processes. Shortages are allowed, and the unsatisfied demand is completely backlogged. In addition, the capital investment in process quality improvement is adopted. Under these assumptions, we first formulate the proposed problem as a cost minimization model where the production run time and process quality are decision variables. Then we develop the criterion for judging whether the optimal solution not only exists but also is unique. If the criterion is not satisfied, the production system should not be opened. An algorithm for the computations of the optimal solutions is also provided. Finally, a numerical example and sensitivity analysis are carried out to illustrate the model.
Profitability evaluation for newsboy-type product with normally distributed demand
(2013)
Su, R. H.
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Pearn, W. L.
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工業工程與管理學系
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Department of Industrial Engineering and Management
This paper considered newsboy-type products with a normally distributed demand, and defined a product's profitability as the probability of achieving the target profit under optimal ordering condition. In order to determine whether the product is already unworthy of being ordered (or manufactured) in a competitive market, we conducted a profitability evaluation which examines whether the profitability meets a designated requirement. As the parameters mu and sigma are unknown, we introduced a new index (achievable capacity index; I-A) which has a simple form expression of the product's profitability, and found an unbiased and effective estimator of I-A to estimate the actual I-A. In addition, we utilised a statistical hypothesis testing methodology. The critical value of the test was calculated to determine the evaluation results. The sample size required for the designated power and confidence level was also investigated. An application example for a fresh food product was provided to illustrate the utilisation of the proposed approach. [Received 24 July 2010; Revised 13 February 2011; Accepted 02 May 2011]
Profitability evaluation for newsboy-type product with normally distributed demand
(2013)
Su, R. H.
;
Pearn, W. L.
;
工業工程與管理學系
;
Department of Industrial Engineering and Management
This paper considered newsboy-type products with a normally distributed demand, and defined a product's profitability as the probability of achieving the target profit under optimal ordering condition. In order to determine whether the product is already unworthy of being ordered (or manufactured) in a competitive market, we conducted a profitability evaluation which examines whether the profitability meets a designated requirement. As the parameters mu and sigma are unknown, we introduced a new index (achievable capacity index; I-A) which has a simple form expression of the product's profitability, and found an unbiased and effective estimator of I-A to estimate the actual I-A. In addition, we utilised a statistical hypothesis testing methodology. The critical value of the test was calculated to determine the evaluation results. The sample size required for the designated power and confidence level was also investigated. An application example for a fresh food product was provided to illustrate the utilisation of the proposed approach. [Received 24 July 2010; Revised 13 February 2011; Accepted 02 May 2011]