• Title/Summary/Keyword: locations

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Factory Layout and Aisle Structure Design Considering Dimension Constraints and Door Locations (형태 제약과 출입구를 고려한 설비 배치 및 복도 구조 디자인)

  • Chae-Bogk Kim
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.26 no.3
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    • pp.58-66
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    • 2003
  • The cut tree approach of Montreuil and Ratliff [16] and eigenvector approach [10] are used to automatically draw a feasible facility layout with aisle structure. The department arrangement can minimize an aisle distance criterion considering door locations and dimension constraints. The aisle distance is measured by the door to door distance between departments. An eigenvector and cut tree approaches [1] are implemented based on the branch and bound technique in Kim et al. [2] in order to obtain feasible layouts. Then, the algorithm to fix the door location of each department is developed. After the door locations are determined, the factory layout is evaluated in terms of aisle distance. The aisle structure is obtained by expanding the original layout. The solution is kept until we will find better factory layout. The proposed approach based on the branch and bound technique, in theory, will provide the optimal solution. If the runs are time and/or node limited, the proposed method is a strong heuristic. The technique is made further practical by the fact that the solution is constrained such that the rectangular shape dimensions length(l) and width(w) are fixed and a perfect fit is generated if a fit is possible.

Analysis of Cluster-based Truck-Drone Delivery Routing Models (군집 기반 트럭-드론 배송경로 모형의 효과분석)

  • Chang, Yong Sik
    • Journal of Information Technology Applications and Management
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    • v.26 no.1
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    • pp.53-64
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    • 2019
  • The purpose of this study is to find out the fast delivery route that several drones return a truck again after departing from it for delivery locations at each cluster while the truck goes through the cluster composed of several delivery locations. The main issue is to reduce the total delivery time composed of the delivery time by relatively slow trucks via clusters and the sum of maximum delivery times by relatively fast drones in each cluster. To solve this problem, we use a three-step heuristic approach. First, we cluster the nearby delivery locations with minimal number of clusters satisfying a constraint of drone flight distance to set delivery paths for drones in each cluster. Second, we set an optimal delivery route for a truck through centers of the clusters using the TSP model. Finally, we find out the moved centers of clusters while maintaining the delivery paths for the truck and drones and satisfying the constraint of drone flight. distance in the two-dimensional region to reduce the total delivery time. In order to analyze the effect of this study model according to the change of the number of delivery locations, we developed a R-based simulation prototype and compared the relative efficiency, and performed paired t-test between TSP model and the cluster-based models. This study showed its excellence through this experimentation.

The Differences in the Selection of Outward FDI Locations between State- and Privately Owned Enterprises of China: Focusing on the Effects of Host Country Factors (중국 국유기업과 민간기업 간 해외직접투자 입지 차이 분석: 현지국 요인의 영향을 중심으로)

  • Ra, Wonchan;Wu, Mengqiu
    • Korea Trade Review
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    • v.44 no.6
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    • pp.345-361
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    • 2019
  • In recent years, Chinese firms have explosively increased outward foreign direct investment (oFDI). While state-owned enterprises (SOEs) are still dominant in Chinese oFDI, privately-owned enterprises (POEs) are also accelerating their internationalization. These two types of Chinese firms differ in their behavior regarding oFDI. The objective of this paper is to analyze the differences in the choice of oFDI locations between Chinese SOEs and POEs by considering host country factors. By integrating the literature on Chinese firms' oFDI and on FDI locations, we developed six hypotheses concerning how host country factors affect their choice of location. We tested our hypotheses by conducting multiple regression analysis with recent secondary data on 413 Chinese MNEs in 88 countries between 2005 and 2016. The results of the test show that in selecting oFDI locations, Chinese SOEs invest relatively more in countries with richer natural resources, more abundant strategic assets, less production efficiency, higher political risk, and lower institutional quality compared with Chinese POEs. It is our hope that the empirical results of this paper will contribute to research on Chinese oFDI.

Optimal sensor placements for system identification of concrete arch dams

  • Altunisik, Ahmet Can;Sevim, Baris;Sunca, Fezayil;Okur, Fatih Yesevi
    • Advances in concrete construction
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    • v.11 no.5
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    • pp.397-407
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    • 2021
  • This paper investigates the optimal sensor placements and capabilities of this procedure for dynamic characteristics identification of arch dams. For this purpose, a prototype arch dam is constructed in laboratory conditions. Berke arch dam located on the Ceyhan River in city of Osmaniye is one of the highest arch dam constructed in Turkey is selected for field verification. The ambient vibration tests are conducted using initial candidate sensor locations at the beginning of the study. Enhanced Frequency Domain Decomposition and Stochastic Subspace Identification methods are used to extract experimental dynamic characteristics. Then, measurements are repeated according to optimal sensor locations of the dams. These locations are specified using the Effective Independence Method. To determine the optimal sensor locations, the target mode shape matrices which are obtained from ambient vibration tests of the selected dam with a large number of accelerometers are used. The dynamic characteristics obtained from each ambient vibrations tests are compared with each other. It is concluded that the dynamic characteristics obtained from initial measurements and those obtained from a limited number of sensors are compatible with each other. This situation indicates that optimal sensor placements determined by the Effective Independence Method are useful for dynamic characteristics identification of arch dams.

Are the Tattoos of the 5200-Year-Old Tyrolean Mummy the Oldest Remains of Acupoints? (5200년 전 티롤의 미라의 문신은 가장 오래된 경혈의 유물인가?)

  • Song, Seok Mo
    • Journal of Korean Medical classics
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    • v.35 no.2
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    • pp.1-15
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    • 2022
  • Objectives : This article examines the validity of the argument by Dorfer et al. that the tattoos of the 5200-year-old mummy, found in Tyrolean Alps in 1991, are the oldest remains of acupoints or meridians. Methods : Firstly, I reviewed the arguments by Dorfer et al. and the rebuttal by Ma et al. Secondly, I investigated whether the tattoo locations were in accordance with the acupoint locations and meridians documented in Chinese medical classics. Finally, I examined the alternative explanations on the reasoning of their locations by Kean et al. Results : Among the 18 groups of tattoos in total, only 3 groups coincided with classical acupoints, which accounts for 16.7% of total groups. Although 4 groups may also have been acupoints locations, this hypothesis could not be confirmed through an accurate standard of measurement. Conclusions : It is highly possible that the tattoos of the Tyrolean mummy do not have any relationship with classical acupoints and meridians. The tattoos are not decorative, but meant for medicinal purposes. They correspond to chronic musculoskeletal trauma and pain sites.

Temperature distribution prediction in longitudinal ballastless slab track with various neural network methods

  • Hanlin Liu;Wenhao Yuan;Rui Zhou;Yanliang Du;Jingmang Xu;Rong Chen
    • Smart Structures and Systems
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    • v.32 no.2
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    • pp.83-99
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    • 2023
  • The temperature prediction approaches of three important locations in an operational longitudinal slab track-bridge structure by using three typical neural network methods based on the field measuring platform of four meteorological factors and internal temperature. The measurement experiment of four meteorological factors (e.g., ambient temperature, solar radiation, wind speed, and humidity) temperature in the three locations of the longitudinal slab and base plate of three important locations (e.g., mid-span, beam end, and Wide-Narrow Joint) were conducted, and then their characteristics were analyzed, respectively. Furthermore, temperature prediction effects of three locations under five various meteorological conditions are tested by using three neural network methods, respectively, including the Artificial Neural Network (ANN), the Long Short-Term Memory (LSTM), and the Convolutional Neural Network (CNN). More importantly, the predicted effects of solar radiation in four meteorological factors could be identified with three indicators (e.g., Root Means Square Error, Mean Absolute Error, Correlation Coefficient of R2). In addition, the LSTM method shows the best performance, while the CNN method has the best prediction effect by only considering a single meteorological factor.

A numerical study on vibration-based interface debonding detection of CFST columns using an effective wavelet-based feature extraction technique

  • Majid Gholhaki;Borhan Mirzaei;Mohtasham Khanahmadi;Gholamreza Ghodrati Amiri;Omid Rezaifar
    • Steel and Composite Structures
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    • v.53 no.1
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    • pp.45-59
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    • 2024
  • This paper aims to investigate the impact of interfacial debonding on modal dynamic properties such as frequencies and vibration mode shapes. Furthermore, it seeks to identify the specific locations of debonding in rectangular concrete-filled steel tubular (CFST) columns during the subsequent stage of the study. In this study, debonding is defined as a reduction in the elasticity modulus of concrete by a depth of 3 mm at the connection point with the steel tube. Debonding leads to a lack of correlation between primary and secondary shapes of vibration modes and causes a reduction in the natural frequency in all modes. However, directly comparing changes in vibration responses does not allow for the identification of debonding locations. In this study, a novel irregularity detection index (IDI) is proposed based on modal signal processing via the 2D wavelet transform. The suggested index effectively reveals relative irregularity peaks in the form of elevations at the debonding locations. As the severity of damage increases at a specific debonding location, the relative irregularity peaks would increase only at that specific point; in other words, the detection or non-detection of a debonding location using IDI has minimal effects on the identification of other debonding locations.

Determination of Layer Thickness of A/B Type Multilayer Films in SIMS Depth Profiling Analysis

  • Hwang, Hyun-Hye;Jang, Jong-Shik;Kang, Hee-Jae;Kim, Kyung-Joong
    • Proceedings of the Korean Vacuum Society Conference
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    • 2012.08a
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    • pp.231-231
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    • 2012
  • Correct determination of the interface locations is critical for the calibration of the depth scale and measurement of layer thickness in SIMS depth profiling analysis of multilayer films. However, the interface locations are difficult to determine due to the unwanted distortion from the real ones by the several effects due to sputtering with energetic ions. In this study, the layer thicknesses of Si/Ge and Si/Ti multilayer films were measured by SIMS depth profiling analysis using the oxygen and cesium primary ion beam. The interface locations in the multilayer films could be determined by two methods. The interfaces can be determined by the 50 at% definition where the atomic fractions of the constituent layer elements drop or rise to 50 at% at the interfaces. In this method, the raw depth profiles were converted to compositional depth profiles through the two-step conversion process using the alloy reference relative sensitivity factors (AR-RSF) determined by the alloy reference films with well-known compositions determined by Rutherford backscattering spectroscopy (RBS). The interface locations of the Si/Ge and Si/Ti multilayer films were also determined from the intensities of the interfacial composited ions (SiGe+, SiTi+). The determination of the interface locations from the composited ions was found to be difficult to apply due to the small intensity and the unclear variation at the interfaces.

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Otolith microchemistry reveals the migration patterns of the flathead grey mullet Mugil cephalus (Pisces: Mugilidae) in Korean waters

  • Bae, Seung Eun;Kim, Jin-Koo
    • Journal of Ecology and Environment
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    • v.44 no.3
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    • pp.185-195
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    • 2020
  • Background: The flathead grey mullet Mugil cephalus has the widest distribution among mugilid species. Recent studies based on mitochondrial DNA sequences showed that the species comprises at least 14 different groups, three of which occur in the northwest Pacific. We analyzed the otolith microchemistry of M. cephalus at several locations in Korea to improve understanding of migration pattern and population origin. Results: We collected 123 sagittal otoliths from seven locations and determined their concentrations of eight elements (7Li, 24Mg, 55Mn, 57Fe, 60Ni, 63Cu, 88Sr, and 138Ba) using laser ablation inductively coupled plasma mass spectrometry. Mean otolith elemental ratios differed significantly among the locations. The Sr:Ca, Fe:Ca, and Ba:Ca ratios were significantly higher than others, and useful chemical signatures for investigating the habitat use of M. cephalus populations. We identified five diverse and complicated migration patterns using the otolith data that we collected: estuarine resident (type I), freshwater migrant (type II), estuarine migrant (type III), seawater resident (type IV), and seawater migrant (type V). A canonical discriminant analysis plot revealed separation of two groups (type II in the Yellow Sea vs. other types in remaining locations). Two locations on Jeju Island, despite their close proximity, had fish with quite different migration patterns, corroborating previous molecular studies that distinguished two groups of fishes. Conclusion: We successfully showed that the migration patterns of the Korean mullet varied by location. Only fish from the western sector of Jeju had a unique migration pattern, which is likely confined population in this area. Among the eight otolith elements measured, the Sr:Ca ratio was found to be the best indicator of migration pattern and population origin.

An Approach for Managing Storage Locations in RFID-Based Cold-Storage Warehouse System (RFID 기반 냉동창고 시스템의 적재위치 관리 방안)

  • Moon, Mi-Kyeong;Choi, Bong-Jun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.9
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    • pp.1971-1978
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    • 2011
  • In RFID-based cold-storage systems, product locations are recognized as the logical locations of RFID readers which are attached to the entrance of the cold rooms. However, through these methods, product locations can be incorrect in many different situations of a storage. Cold storage rooms have a huge rage in temperature, and the product in the cold-storage spoils easily. Therefore, highly precise product locations is very important for the product quality In this paper, a new approach is suggested to manage the storage location inaccuracy by adding two readers to existing forklift and attaching RFID tags to the ceiling. One reader recognizes ceiling tags to acquire location data, and the other recognizes product tags to acquire product detail data loaded on the forklift. The product can be seamlessly tracked and traced in realtime by monitoring and analyzing data gathered from these readers. Through the proposed location management method, the effectiveness of the product management in cold-storage can be improved consequently.