Peterson Julian

Prof. Dr. Peterson Julian

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Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2012 in Pattern Recognition Letters
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Journal Article
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PJPeterson Julian
Peterson Julian
KHKuo-Chen Hung
Kuo-Chen Hung
SLShu-Jen Lin
Shu-Jen Lin

1 January 2010 in Expert Systems with Applications
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Journal Article
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KHKuo-Chen Hung
Kuo-Chen Hung
PJPeterson Julian
Peterson Julian
TCTerence Chien
Terence Chien
WJWarren Tsu-Huei Jin
Warren Tsu-Huei Jin

1 August 2007 in Journal of Interdisciplinary Mathematics
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Journal Article
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RLRobert Lin
Robert Lin
JLJennifer Shu-Jen Lin
Jennifer Shu-Jen Lin
KCKevin Chen
Kevin Chen
PJPeterson Julian
Peterson Julian
We study the paper of Hadley to compare the order quantities for inventory models using the average annual cost and the discounted cost. The purpose of this note is threefold. First, we show that the solution for the discounted cost inventory model is exist and unique. Second, we provide a formulated approximation for the discounted cost inventory model. Third, we use our approximation to explain why two solutions by the average annual cost and the discounted cost are close each other such that the numerical analysis in Hadley’s examples to demonstrate a negligible difference between them is explained. Our findings will undoubtedly improve the theoretical base for inventory models and develop new practical application for operational research.

1 November 2009 in Applied Mathematical Modelling
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Journal Article
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SCShuo-Yan Chou
Shuo-Yan Chou
PJPeterson Julian
Peterson Julian
KHKuo-Chen Hung
Kuo-Chen Hung


1 January 2017 in Mathematical Problems in Engineering
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Journal Article
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HTHan-Wen Tuan
Han-Wen Tuan
SLShu-Cheng Lin
Shu-Cheng Lin
PJPeterson Julian
Peterson Julian
Most inventory models dealt with deteriorated items. On the contrary, just a few papers considered inventory systems under amelioration environment. We study an amelioration inventory model with Weibull distribution. However, there are some questionable results in the amelioration paper. We will first point out those questionable results in the previous paper that did not derive the optimal solution and then provide some improvements. We will provide a rigorous analytical work for different cases dependent on the size of the shape parameter. We present a detailed numerical example for different ranges of the sharp parameter to illustrate that our solution method attains the optimal solution. We developed a new amelioration model and then provided a detailed analyzed procedure to find the optimal solution. Our findings will help researchers develop their new inventory models.