Browsing by Author "Su, Rung-Hung"

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An EPQ Model for Deteriorating Items with Allowable Shortage and Price Difference-dependent Demand
(2017-01-01)
Huang, Yung-Fu
;
Weng, Ming-Wei
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Su, Rung-Hung
;
Lai, Kuei Kuei
;
工業工程與管理學系
In this paper, we develop a deterministic inventory model for deteriorating items with allowable shortage. In addition, we consider that the selling price is set based on the inventory level and the demand rate is a function of difference price. In light of these concerns, this paper has two purposes: (a) provide a profit maximization model (b) to find optimal the production run time and the shortage period are allowed. Then a proof of model was concerned for the existence and uniqueness of the optimal solution. An algorithm is provided to find the optimal solution. Finally, a numerical example is used to illustrate the algorithm and the sensitivity analysis of the optimal solution with respect to major parameters is also carried out.
Assessing Profitability of a Newsboy-Type Product with Normally Distributed Demand Based on Multiple Samples
(2013-09-17)
Su, Rung-Hung
;
Yang, Dong-Yuh
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Pearn, W. L.
;
工業工程與管理學系
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Department of Industrial Engineering and Management
This article develops a new index Achievable Capacity Index, I-A, which can accurately measure the profitability of newsboy-type product with normally distributed demand. An unbiased and effective estimator of I-A is derived to estimate actual I-A as the parameters of distribution are unknown. Practically, the market information regarding demand is obtained from multiple samples rather than single sample. Therefore, we estimate and test I-A based on multiple samples. A hypothesis testing for examining whether the profitability meets designated requirement is presented. Critical values of the test are calculated to determine the evaluation results. Finally, a real case on the sales of donuts is presented to illustrate the applicability of our approach.
Decision-making in a single-period inventory environment with fuzzy demand
(2011-03-01)
Su, Rung-Hung
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Yang, Dong-Yuh
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Pearn, W. L.
;
工業工程與管理學系
;
Department of Industrial Engineering and Management
This paper first defines the profitability to be the probability of achieving a target profit under the optimal ordering policy, and introduces a new index (achievable capacity index; I(A)) which can briefly analyze the profitability for newsboy-type product with normally distributed demand. Note that since the level of profitability depends on the demand mean mu and the demand standard deviation sigma if the related casts, selling price, and target profit are given, the index I(A) is a function of mu and sigma. Then, we assess level performance which examines if the profitability meets designated requirement. The results can determine whether the product is still desirable to order/manufacture. However, mu and sigma are always unknown, and the demand quantity is common to be imprecise, especially for new product. To tackle these problems, a constructive approach combining the vector of fuzzy numbers is introduced to establish the membership function of the fuzzy estimator of I(A). Furthermore, a three-decision testing rule and step-by-step procedure are developed to assess level performance based on fuzzy critical values and fuzzy p-values. (C) 2010 Elsevier Ltd. All rights reserved.
Estimating Achievable Capacity Index based on Multiple Samples
(2011-01-01)
Wang, Tsung-Yin
;
Liou, Cheng-Hwai
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Su, Rung-Hung
;
Yang, Dong-Yuh
;
工業工程與管理學系
This paper investigates the profitability which measures for the newsboy-type product and develops a new index "Achievable Capacity Index", denoted by I-A. It can accurately measure the profitability of newsboy-type product with normally distributed demand. Furthermore, the interrelationship between profitability and I-A is also performed. An unbiased and effective estimator is derived to estimate I-A. Practically, market information regarding demand is obtained from multiple samples rather than single sample. Then we estimate I-A based on multiple samples. Finally, a numerical result is presented to show the probability density function of the unbiased estimator of (I) over cap (A) under different groups and sample sizes. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Asia Pacific Business Innovation and Technology Management Society
Estimating and Testing Achievable Capacity Index with Exponentially Distributed Demand
(2015-06-01)
Su, Rung-Hung
;
Yang, Dong-Yuh
;
Pearn, W. L.
;
工業工程與管理學系
;
Department of Industrial Engineering and Management
Achievable Capacity Index proposed by Su and Pearn [12-13] is a new evaluation tool, which can accurately measure the profitability of newsboy-type product with normally distributed demand. However, in practical situations, the demand variable is non-normal distributed. In this paper, we attempt to investigate a probable case that the demand is exponentially distributed. The corresponding index denoted by is developed and the statistical properties of its estimator are derived. Based on this index, we implement a hypothesis testing for examining whether the profitability reaches a specified level. The critical values of the test are tabulated for some commonly used profitability requirements. We also carry out the sample size determination by means of designated Type I error and Type II error. Finally, a real example taken from a retail store in Taiwan is presented to illustrate the applicability of our approach.