Optimal Lot-sizing and Pricing with Markdown for a Newsvendor Problem

Chen, Jen-Ming,Chen, Yi-Shen,Chien, Mei-Chen Korean Institute of Industrial Engineers 2008 Industrial Engineeering & Management Systems Vol.7 No.3

This paper deals with the joint decisions on pricing and ordering for a monopolistic retailer who sells perishable goods with a fixed lifetime or demand period. The newsvendor-typed problem is formulated as a two-period inventory system where the first period represents the inventory of fresh or new-arrival items and the second period represents the inventory of items that are older but still usable. Demand may be for either fresh items or for somewhat older items that exhibit physical decay or deterioration. The retailer is allowed to adjust the selling price of the deteriorated items in the second period, which stimulates demand and reduces excess season-end or stale inventory. This paper develops a stochastic dynamic programming model that solves the problem of preseason decisions on ordering-pricing and a within-season decision on markdown pricing. We also develop a fixed-price model as a benchmark against the dual-price dynamic model. To illustrate the effect of the dual-price policy on expected profit, we conduct a comparative study between the two models. Extension to a generalized multi-period model is also discussed.

Characterization of Protein Arginine Methyltransferases in Porcine Brain

( Chien Jen Hung ),( Da Huang Chen ),( Yi Ting Shen ),( Yi Chen Li ),( Yi Wei Lin ),( Mingli Hsieh ),( Chuan Li ) 생화학분자생물학회 2007 BMB Reports Vol.40 No.5

An integrate information technology model during earthquake dynamics

Chen-Yuan Chen,Ying-Hsiu Chen,Shang-En Yu,Yi-Wen Chen,Chien-Chung Li 국제구조공학회 2012 Structural Engineering and Mechanics, An Int'l Jou Vol.44 No.5

Applying Information Technology (IT) in practical engineering has become one of the most important issues in the past few decades, especially on internal solitary wave, intelligent robot interaction, artificial intelligence, fuzzy Lyapunov, tension leg platform (TLP), consumer and service quality. Other than affecting the traditional teaching mode or increasing the inter-relation with users, IT can also be connected with the current society by collecting the latest information from the internet. It is apparently a fashion-catching-up technology. Therefore, the learning of how to use IT facilities is becoming one of engineers’ skills nowadays. In addition to studying how well engineers learn to operate IT facilities and apply them into teaching, how engineers’ general capacity of information effects the results of learning IT are also discussed. This research introduces the “Combined TAM and TPB mode,” to understand the situation of engineers using IT facilities.

An integrate information technology model during earthquake dynamics

Chen, Chen-Yuan,Chen, Ying-Hsiu,Yu, Shang-En,Chen, Yi-Wen,Li, Chien-Chung Techno-Press 2012 Structural Engineering and Mechanics, An Int'l Jou Vol.44 No.5

Applying Information Technology (IT) in practical engineering has become one of the most important issues in the past few decades, especially on internal solitary wave, intelligent robot interaction, artificial intelligence, fuzzy Lyapunov, tension leg platform (TLP), consumer and service quality. Other than affecting the traditional teaching mode or increasing the inter-relation with users, IT can also be connected with the current society by collecting the latest information from the internet. It is apparently a fashion-catching-up technology. Therefore, the learning of how to use IT facilities is becoming one of engineers' skills nowadays. In addition to studying how well engineers learn to operate IT facilities and apply them into teaching, how engineers' general capacity of information effects the results of learning IT are also discussed. This research introduces the "Combined TAM and TPB mode," to understand the situation of engineers using IT facilities.

個別化重要技能模式對國小自閉症學生購物技能成效之研究

陳誼紋(Yi-Wen CHEN),陳政見(Cheng-Chien CHEN) 한국마이너리티학회 2019 마이너리티연구 Vol.2 No.1

This research is based on Time Series Research Design , which is aimed at first researcher’s a fifth-grade middle-aged autistic student in the rehabilitation class working in the winter and summer vacations to develop the Individualized Critical Skills Model, ICSM, selects five of the 13 implementation points of the ICSM model to plan and design shopping teaching programs, and design individualized and relevant teaching courses for students needs. The courses cover the general community and combine shopping needs. After the intervention of basic skills, the study of the effectiveness of shopping skills acquisition for moderate autistic students. The implementation location is to increase the practice of using change in the simulated shopping situation in the classroom, and then use the frequent store as a place to practice shopping. Learning effectiveness assessments are not only assessed in the classroom, but also in the store. The effectiveness of the teaching programs is divided into two aspects. One is the overall performance of the performance, including selecting items , finding the price , putting the price with the goods , and checking the counter . After intervention, the results showed significant progress. Secondly, the behavioral performance was subdivided into (1) motor performance, (2) oral performance, and (3) payment performance. Through the progress curve, the teaching status was improved, and the results showed significant progress. Finally, we have some comments for the future include teaching plans, case selection, teaching locations and personnel coordination. 本研究係以「時間序列研究設計」、針對研究者(1)在寒暑假打工的安親班中的一位國小五年級中度自閉症學生、以發展個別化重要技能模式 (Individualized critical skills model、ICSM)為本、以ICSM模式十三個實施要點選定其中五個來規劃設計購物教學方案、對學生需 求而設計個別化且相關的教學課程、課程涵蓋在一般社區領域、結合購物需求與基本技能的教 學介入後、對中度自閉症學生其購物技能習得之成效研究。實施地點是先在教室中以模擬購物情境增加使用零錢的練習機會、再以常去的商店作為練習購物的地點。學習成效評量不僅在教室中評量、在商店中也會作評量。教學方案介入後之成效分為兩方面、一為行為表現總體表現、包括「挑選物品」、「尋找標價」、「拿出與商品對等之價錢」、「至櫃台結帳」等四種行為、介入處理後皆呈現明顯進步;二再將行為表現細分成(一)動作表現、(二)口語表現、(三)付款表現三種、透過進步曲線了解教學狀況、結果皆呈顯著進步。最後針對教學方案、個案選擇、教學地點及人員協調提出未來研究建議。

Characterization of Protein Arginine Methyltransferases in Porcine Brain

Hung, Chien-Jen,Chen, Da-Huang,Shen, Yi-Ting,Li, Yi-Chen,Lin, Yi-Wei,Hsieh, Mingli,Li, Chuan Korean Society for Biochemistry and Molecular Biol 2007 Journal of biochemistry and molecular biology Vol.40 No.5

Protein arginine methylation is a posttranslational modification involved in various cellular functions including cell signaling, protein subcellular localization and transcriptional regulation. We analyze the protein arginine methyltransferases (PRMTs) that catalyze the formation of methylarginines in porcine brain. We fractionated the brain extracts and determined the PRMT activities as well as the distribution of different PRMT proteins in subcellular fractions of porcine brain. The majority of the type I methyltransferase activities that catalyze the formation of asymmetric dimethylarginines was in the cytosolic S3 fraction. High specific activity of the methyltransferase was detected in the S4 fraction (high-salt stripping of the ultracentrifugation precipitant P3 fraction), indicating that part of the PRMT was peripherally associated with membrane and ribosomal fractions. The amount and distribution of PRMT1 are consistent with the catalytic activity. The elution patterns from gel filtration and anion exchange chromatography also indicate that the type I activity in S3 and S4 are mostly from PRMT1. Our results suggest that part of the type I arginine methyltransferases in brains, mainly PRMT1, are sequestered in an inactive form as they associated with membranes or large subcellular complexes. Our biochemical analyses confirmed the complex distribution of different PRMTs and implicate their regulation and catalytic activities in brain.

Optimal Lot-sizing and Pricing with Markdown for a Newsvendor Problem

Jen-Ming Chen,Yi-Shen Chen,Mei-Chen Chien 대한산업공학회 2008 Industrial Engineeering & Management Systems Vol.7 No.3

This paper deals with the joint decisions on pricing and ordering for a monopolistic retailer who sells perishable goods with a fixed lifetime or demand period. The newsvendor-typed problem is formulated as a twoperiod inventory system where the first period represents the inventory of fresh or new-arrival items and the second period represents the inventory of items that are older but still usable. Demand may be for either fresh items or for somewhat older items that exhibit physical decay or deterioration. The retailer is allowed to adjust the selling price of the deteriorated items in the second period, which stimulates demand and reduces excess season-end or stale inventory. This paper develops a stochastic dynamic programming model that solves the problem of preseason decisions on ordering-pricing and a within-season decision on markdown pricing. We also develop a fixed-price model as a benchmark against the dual-price dynamic model. To illustrate the effect of the dual-price policy on expected profit, we conduct a comparative study between the two models. Extension to a generalized multi-period model is also discussed.

User Identification Design by Fusion of Face Recognition and Speaker Recognition

Chao-Yu Lin,Kai-Tai Song,Yi-Wen Chen,Shuo-Cheng Chien,Sin-Horng Chen,Chen-Yu Chiang,Jyh-Her Yang,Yi-Chiao Wu,Tzu-Jui Liu 제어로봇시스템학회 2012 제어로봇시스템학회 국제학술대회 논문집 Vol.2012 No.10

Intelligent human-robot interface helps a mobile robot to extract external information and interact with a user. User identification information allows a robot to generate appropriate behaviors and make personalized human-robot interaction (PHRI) more natural and safe. Most of service robots move around in various application settings, and biometric features always change during relative movements. In this work, a fusion recognition system based on face and speaker classifiers is designed to achieve the user recognition in various environments. We propose a method to fuse face and speech recognition results based on the concept of confidence indices. Through the derived confidence indices, the system combines the two classifiers and gives improved recognition results. Experiments on a laboratory home service robot show that person recognition rates in 15 environmental situations all outperform those of using single modality.

Breast density analysis for whole breast ultrasound images : Whole breast ultrasound density analysis

Chen, Jeon-Hor,Huang, Chiun-Sheng,Chien, Kuang-Che Chang,Takada, Etsuo,Moon, Woo Kyung,Wu, Jeffery H. K.,Cho, Nariya,Wang, Yi-Fa,Chang, Ruey-Feng Wiley (John WileySons) 2009 Medical physics Vol.36 No.11

<P>Breast density has been established as an independent risk factor associated with the development of breast cancer. The terms mammographic density and breast density are often used interchangeably, since most breast density studies are performed with projection mammography. It is known that increase in mammographic density is associated with an increased cancer risk. A sensitive method that allows for the measurement of small changes in breast density may provide useful information for risk management. Despite the efforts to develop quantitative breast density measurements from projection mammograms, the measurements show large variability as a result of projection imaging, differing body position, differing levels of compression, and variation of the x-ray beam characteristics. This study used two separate computer-aided methods, threshold-based and proportion-based evaluations, to analyze breast density on whole breast ultrasound (US) imaging and to compare with the grading results of three radiologists using projection mammography. Thirty-two female subjects with 252 images per case were included in this study. Whole breast US images were obtained from an Aloka SSD-5500 ultrasound machine with an ASU-1004 transducer (Aloka, Japan). Before analyzing breast density, an adaptive speckle reduction filter was used for removing speckle noise, and a robust thresholding algorithm was used to divide breast tissue into fatty or fibroglandular classifications. Then, the proposed approaches were applied for analysis. In the threshold-based method, a statistical model was employed to determine whether each pixel in the breast region belonged to fibroglandular or fatty tissue. The proportion-based method was based on three-dimensional information to calculate the volumetric proportion of fibroglandular tissue to the total breast tissue. The experimental cases were graded by the proposed analysis methods and compared with the ground standard density classification assigned by a majority voting of three experienced breast radiologists. For the threshold-based method, 28 of 32 US test cases and for the proportion-based density classifier, 27 of 32 US test cases were found to be in agreement with the radiologist 'ground standard' mammographic interpretations, resulting in overall accuracies of 87.5% and 84.4%, respectively. Moreover, the concordance values of the proposed methods were between 0.0938 and 0.1563, which were less than the average interobserver concordance of 0.3958. The experiment result showed that the proposed methods could be a reference opinion and offer concordant and reliable quantification of breast density for the radiologist.</P>

Feasible Management of Southern Corn Leaf Blight via Induction of Systemic Resistance by Bacillus cereus C1L in Combination with Reduced Use of Dithiocarbamate Fungicides

Yi-Ru Lai,Pei-Yu Lin,CHAO-YING CHEN,Chien-Jui Huang 한국식물병리학회 2016 Plant Pathology Journal Vol.32 No.5

Dithiocarbamate fungicides such as maneb and mancozebare widely used nonsystemic protectant fungicidesto control various plant fungal diseases. Dithiocarbamatefungicides should be frequently applied toachieve optimal efficacy of disease control and avoideither decline in effectiveness or wash-off from leafsurface. Dithiocarbamates are of low resistance riskbut have the potential to cause human neurological diseases. The objective of this study was to develop a strategyto effectively control plant disease with reduceduse of dithiocarbamtes. Southern corn leaf blight wasthe model pathosystem for the investigation. Whencorn plants were drench-treated with Bacillus cereusC1L, a rhizobacterium able to induce systemic resistancein corn plants against southern leaf blight, frequencyof spraying dithiocarbamate fungicides couldbe decreased. The treatment of B. cereus C1L was ableto protect maize from southern leaf blight while residuesof dithiocarbamates on leaf surface were too lowto provide sufficient protection. On the other hand,frequent sprays of mancozeb slightly but significantlyreduced growth of corn plants under natural conditions. In contrast, application of B. cereus C1L cansignificantly promote growth of corn plants whethersprayed with mancozeb or not. Our results provide theinformation that plant disease can be well controlledby rhizobacteria-mediated induced systemic resistancein combination with reduced but appropriate applicationof dithiocarbamate fungicides just before a heavyinfection period. An appropriate use of rhizobacteriacan enhance plant growth and help plants overcomenegative effects caused by dithiocarbamates.