• Title/Summary/Keyword: Shipment

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A Technique to Circumvent V-shaped Deconvolution Error for Time-dependent SRAM Margin Analyses

  • Somha, Worawit;Yamauchi, Hiroyuki;Yuyu, Ma
    • IEIE Transactions on Smart Processing and Computing
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    • v.2 no.4
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    • pp.216-225
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    • 2013
  • This paper discusses the issues regarding an abnormal V-shaped error confronting algebraic-based deconvolution process. Deconvolution was applied to an analysis of the effects of the Random Telegraph Noise (RTN) and Random Dopant Fluctuation (RDF) on the overall SRAM margin variations. This paper proposes a technique to suppress the problematic phenomena in the algebraic-based RDF/RTN deconvolution process. The proposed technique can reduce its relative errors by $10^{10}$ to $10^{16}$ fold, which is a sufficient reduction for avoiding the abnormal ringing errors in the RTN deconvolution process. The proposed algebraic-based analyses allowed the following: (1) detection of the truncating point of the TD-MV distributions by the screening test, and (2) predicting the MV-shift-amount by the assisted circuit schemes needed to avoid the out of specs after shipment.

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Fail Prediction of DRAM Module Outgoing Quality Assurance Inspection using Ensemble Learning Algorithm (앙상블 학습을 이용한 DRAM 모듈 출하 품질보증 검사 불량 예측)

  • Kim, Min-Seok;Baek, Jun-Geol
    • IE interfaces
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    • v.25 no.2
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    • pp.178-186
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    • 2012
  • The DRAM module is an important part of servers, workstations and personal computer. Its malfunction causes a lot of damage on customer system. Therefore, customers demand the highest quality products. The company applies DRAM module Outgoing Quality Assurance Inspection(OQA) to secures the highest quality. It is the key process to decides shipment of products through sample inspection method with customer oriented tests. High fraction of defectives entering to OQA causes inevitable high quality cost. This article proposes the application of ensemble learning to classify the lot status to minimize the ratio of wrong decision in OQA, observing a potential in reducing the wrong decision.

Development of Sweeping Machine with Cyclone Dust Collector (연마장비용 사이클론 집진장치 설계)

  • Jin, Taeseok
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.10a
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    • pp.911-913
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    • 2013
  • In this paper, we present the sweeping machine with cyclone type dust collector for cleaning shipment exterior wall. Important cyclone characteristics such as the collection efficiency, pressure and velocity fields have been discussed and compared with the experimental data. The purpose of this study is to introduce the mechanism design of the high efficiency sweeping machine using the cyclone dust collector. Generally, the increase of inlet velocity of air in a cyclone dust collector improves the separation efficiency, while it results in increasing in the pressure losses nonlinearly.

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Export Logistics of Small-medium Sized Manufacturers in Busan Kimhae Area (부산.김해지역 중소제조업체의 수출물류비 현황분석 및 절감방안 연구)

  • Kim, Jeong-Su
    • Journal of Korea Port Economic Association
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    • v.21 no.3
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    • pp.83-113
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    • 2005
  • In this study, for purpose of searching for measures to lower the logistics costs which is one of the most difficulties for the small-medium sized manufacturers in Pusan and Kimhae, those manufacturers were surveyed with questionnaire about the facts in the export logistics costs, difficulties related to the costs, and measures they thought for lowering the cost. Taking account of findings from the survey, the comprehensive measures of saving the export logistics costs were to be proposed. In the surveyed manufacturers, the problems they thought over export logistics costs lied in short logistics information and transportation-related difficulties in cargo and distribution, insufficient standardization in packaging and the shortage of material handling equipments in unloading. In transportation, frequent non-fulfillment of in-time shipment, cost increase including over consumption of transportation time due to traffic jam, and the biased heavy use of inland transportation were pointed out as problems. In customs clearance, logistics information, and marine insurance, addressed were complexity in custom clearance and bonded transportation procedures, and the shortage of software and hardware to construct logistics information system.

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A literature review of Korean and International research on the supply chain security (공급 사슬 보안에 관한 국내외 문헌 조사 연구)

  • Yang, Byoung-Hak
    • Journal of the Korea Safety Management & Science
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    • v.13 no.3
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    • pp.87-96
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    • 2011
  • This research is a literature survey on the Supply chain security. International organization and governments have build security regulations to improve the security in the shipment through supply chain. The researches on supply chain security were increasing during last 10 years. We were surveyed 53 research including Korean and international papers. ills study was classified by research subjects, security regulation, and research methods. Korean researches were focused to introducing and reviewing on the security regulation, but the researches on specific security reinforcement were very rare. International researches were concerned with the subject of the airport security scanning problem, transportation security problem, port selection problem.

A GA-based Heuristic for the Interrelated Container Selection Loading Problems

  • Techanitisawad, Anulark;Tangwiwatwong, Paisitt
    • Industrial Engineering and Management Systems
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    • v.3 no.1
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    • pp.22-37
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    • 2004
  • An integrated heuristic approach based on genetic algorithms (GAs) is proposed for solving the container selection and loading problems. The GA for container selection solves a two-dimensional knapsack problem, determining a set of containers to minimize the transportation or shipment cost. The GA for container loading solves for the weighted coefficients in the evaluation functions that are applied in selecting loading positions and boxes to be loaded, so that the volume utilization is maximized. Several loading constraints such as box orientation, stack priority, stack stability, and container stability are also incorporated into the algorithm. In general, our computational results based on randomly generated data and problems from the literature suggest that the proposed heuristic provides a good solution in a reasonable amount of computational time.

A Real-Time Loading Strategy of Batch Processing Machines for Average Tardiness Minimization (평균납기지연 최소화를 위한 배치생산공정의 실시간 로딩전략)

  • Koo, Pyung-Hoi
    • Journal of Korean Institute of Industrial Engineers
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    • v.40 no.2
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    • pp.215-222
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    • 2014
  • This paper provides a real-time loading strategy for batch processing machines in which a number of jobs are simultaneously processed as a batch. The batch processing machines can be seen in both manufacturing industries (e.g., semiconductor, automobile and metal working) and service industries (transportation vehicles, mail shipment and theme park). This paper focuses on batch processing machines in semiconductor manufacturing. We present a look-ahead loading strategy for tardiness minimization where future arrivals and due dates are taken into consideration. Simulation tests are performed on the presented strategy and some existing loading heuristics under various production settings with different traffic intensities and forecasting errors. Experimental results show that our strategy provides the performance of good quality.

Policy Safety Stock Cost Optimization : Xerox Consumable Supply Chain Case Study (정책적 안전재고의 비용 최적화 : 제록스 소모품 유통공급망 사례연구)

  • Suh, Eun Suk
    • Journal of Korean Institute of Industrial Engineers
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    • v.41 no.5
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    • pp.511-520
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    • 2015
  • Inventory, cost, and the level of service are three interrelated key metrics that most supply chain organizations are striving to optimize. One way to achieve this goal is to create a simulation model to conduct sensitivity analysis and optimization on several different supply chain policies that can be implemented in actual operation. In this paper, a case of Xerox global supply chain modeling and analysis to assess several "what if" scenarios for the consumable policy safety stock is presented. The simulation model, combined with analytical cost model and optimization module, is used to optimize the policy safety stock level to achieve the lowest total value chain cost. It was shown quantitatively that the policy safety stock can be reduced, but it is offset by the inbound premium transportation cost to expedite supplies in shortage, and the outbound premium transportation cost to send supplies to customers via express shipment, requiring fine balance.

A Design of Power Circuit and LCL Filter for Switching Mode PV Simulator (스위칭방식 PV Simulator의 전력회로와 LCL필터 설계)

  • Lee, Sung-Min;Yu, Tae-Sik;Kim, Hyo-Sung
    • The Transactions of the Korean Institute of Power Electronics
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    • v.17 no.5
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    • pp.431-437
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    • 2012
  • PV simulators are essential equipment for testing power conditioning systems (PCS) which are one of an important part in PV generator systems, for testing before shipment. High dynamic PV simulator is required since MPPT(Maximum Power Point Tracking) test procedure has been established by EN50530 regulation recently. Most high quality PV simulator prevailed in the market is linear type which however has low efficiency. This paper proposes design guide lines for the power stage and LCL type filter cooperating with a switching mode PV simulator that shows high efficiency and very low power consumption. Proposed theory is verified by experiment.

A Sweet Persimmon Grading Algorithm using Object Detection Techniques and Machine Learning Libraries (객체 탐지 기법과 기계학습 라이브러리를 활용한 단감 등급 선별 알고리즘)

  • Roh, SeungHee;Kang, EunYoung;Park, DongGyu;Kang, Young-Min
    • Journal of Korea Multimedia Society
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    • v.25 no.6
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    • pp.769-782
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    • 2022
  • A study on agricultural automation became more important. In Korea, sweet persimmon farmers spend a lot of time and effort on classifying profitable persimmons. In this paper, we propose and implement an efficient grading algorithm for persimmons before shipment. We gathered more than 1,750 images of persimmons, and the images were graded and labeled for classifications purpose. Our main algorithm is based on EfficientDet object detection model but we implemented more exquisite method for better classification performance. In order to improve the precision of classification, we adopted a machine learning algorithm, which was proposed by PyCaret machine learning workflow generation library. Finally we acquired an improved classification model with the accuracy score of 81%.