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Journal articles on the topic 'Slow-moving'

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1

Turaga, Kiran K., T. Clark Gamblin, H. Richard Alexander, Robert Edwards, and David L. Bartlett. "Moving Fast and Moving Slow." Annals of Surgical Oncology 22, no. 5 (2015): 1631–33. http://dx.doi.org/10.1245/s10434-015-4426-2.

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2

LeBrasseur, Nicole. "Slow-moving Alzheimer's." Journal of Cell Biology 179, no. 5 (2007): 807. http://dx.doi.org/10.1083/jcb.1795iti3.

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3

Mitchell, Mark, Lasse Heje Pedersen, and Todd Pulvino. "Slow Moving Capital." American Economic Review 97, no. 2 (2007): 215–20. http://dx.doi.org/10.1257/aer.97.2.215.

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4

Samloff, I. M., R. T. Taggart, T. Shiraishi, et al. "Slow moving proteinase." Gastroenterology 93, no. 1 (1987): 77–84. http://dx.doi.org/10.1016/0016-5085(87)90317-9.

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5

Lorenzoni, Guido, and Iván Werning. "Slow Moving Debt Crises." American Economic Review 109, no. 9 (2019): 3229–63. http://dx.doi.org/10.1257/aer.20141766.

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We study slow moving debt crises: self-fulfilling equilibria in which high interest rates, due to the fear of a future default, lead to a gradual but faster accumulation of debt, ultimately validating investors’ fear. We show that slow moving crises arise in a variety of settings, both when fiscal policy follows a given rule and when it is chosen by an optimizing government. A key assumption, in all these settings, is that the borrowing government cannot commit to issue a fixed amount of bonds in a given period. We discuss how multiplicity is avoided for low debt levels, for sufficiently respo
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6

Merrill, Ronald T. "A slow-moving field." Nature 345, no. 6276 (1990): 575–76. http://dx.doi.org/10.1038/345575a0.

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7

Tambunan, Mangara M., Khalida Syahputri, Indah Rizkya, Rahmi M. Sari, and Muhammad D. Cahyo. "Storage design using Fast moving, Slow moving and Non moving (FSN) analysis." MATEC Web of Conferences 197 (2018): 14005. http://dx.doi.org/10.1051/matecconf/201819714005.

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Storage location assignment is related to the problem in warehousing management. The purpose of this paper is to gain storage allocations of goods in a warehouse based on the fast moving, slow moving and non moving (FSN) analysis as the determination of the allocation of storage based on items popularity that is stored in a warehouse. The method used for the research are fast moving, slow moving, non moving (FSN) and dedicated storage. The analysis can be used to determine the location for goods storage will allocated closer to loading area. Goods with fast moving categories allocated close to
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8

Graf, F. "Moving into the Slow Lane." Choice Reviews Online 51, no. 06 (2014): 952. http://dx.doi.org/10.5860/choice.51.06.952.

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9

MacDonald, Scott B., and Jonathan Lemco. "Japan's Slow-Moving Economic Avalanche." Current History 101, no. 654 (2002): 172–76. http://dx.doi.org/10.1525/curh.2002.101.654.172.

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10

Leonhardt, U., and P. Piwnicki. "Slow light in moving media." Journal of Modern Optics 48, no. 6 (2001): 977–88. http://dx.doi.org/10.1080/09500340108230969.

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11

Indik, Julia H. "Moving to a slow beat." American Journal of Medicine 118, no. 5 (2005): 480–81. http://dx.doi.org/10.1016/j.amjmed.2005.01.056.

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12

Roland, Gérard. "Understanding institutional change: Fast-moving and slow-moving institutions." Studies in Comparative International Development 38, no. 4 (2004): 109–31. http://dx.doi.org/10.1007/bf02686330.

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13

Park, Jae-Hyeon, Sang-Hyeon Lee, and Hyun Kim. "Assessment of Internal and External Factors Causing Slow-Moving Landslides." Applied Sciences 13, no. 20 (2023): 11444. http://dx.doi.org/10.3390/app132011444.

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There have been limited studies on slow-moving landslides in South Korea despite their frequent occurrence. Moreover, a national slow-moving landslide hazard information system (SMLHIS) is needed. Herein, we conducted an overlap analysis of 15 slow-moving landslide areas with clear occurrence timings with national landslide hazard maps (LHMs) using the geographic information system data. Additionally, internal and external factors causing slow-moving landslides were analyzed. The results of the overlap analysis showed that slow-moving landslide areas occurred in low-hazard and excluded non-haz
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14

Krkač, Martin, Sanja Bernat Gazibara, Marin Sečanj, Marko Sinčić, and Snježana Mihalić Arbanas. "KINEMATIC MODEL OF THE SLOW-MOVING KOSTANJEK LANDSLIDE IN ZAGREB, CROATIA." Rudarsko-geološko-naftni zbornik 36, no. 2 (2021): 59–68. http://dx.doi.org/10.17794/rgn.2021.2.6.

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The interpretation of landslide kinematics provides important information for those responsible for the management of landslide risk. This paper presents an interpretation of the kinematics of the slow-moving Kostanjek landslide, located in the urbanized area of the city of Zagreb, Croatia. The sliding material (very weak to weak marls, often covered with clayey topsoil) exhibits plastic, rather than rigid behavior. Due to this reason, and low landslide velocities, landslide features, such as main scarps or lateral flanks, are barely noticeable or do not exist in most of the landslide area. Th
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15

Carol J. Lehtola and Ph.D. "Slow to Catch on to the Slow-Moving Vehicle Emblem." Journal of Agricultural Safety and Health 13, no. 1 (2007): 5–7. http://dx.doi.org/10.13031/2013.22316.

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16

Rozov, Andrey. "Maxwell Equations for Slow-Moving Media." Zeitschrift für Naturforschung A 70, no. 12 (2015): 1019–24. http://dx.doi.org/10.1515/zna-2015-0142.

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AbstractIn the present work, the Minkowski equations obtained on the basis of theory of relativity are used to describe electromagnetic fields in moving media. But important electromagnetic processes run under non-relativistic conditions of slow-moving media. Therefore, one should carry out its description in terms of classical mechanics. Hertz derived electrodynamic equations for moving media within the frame of classical mechanics on the basis of the Maxwell theory. His equations disagree with the experimental data concerned with the moving dielectrics. In the paper, a way of description of
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17

Malliaris, Steven, and Hongjun Yan. "Reputation Concerns and Slow-Moving Capital." Review of Asset Pricing Studies 11, no. 3 (2021): 580–609. http://dx.doi.org/10.1093/rapstu/raab006.

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Abstract We analyze fund managers’ reputation concerns in an equilibrium model, in which we tie together a number of seemingly unrelated phenomena. The model shows that because of reputation concerns, hedge fund managers, especially those with an average reputation, prefer strategies with negatively skewed return distributions. One subtle consequence of this preference is that capital sometimes appears slow moving, leaving profitable investment opportunities unexploited, yet other times appears fast moving, causing large capital relocation and price fluctuations in the absence of fundamental n
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18

Lang, Annie, Nancy Schwartz, and Sharon Mayell. "Slow Down You’re Moving Too Fast." Journal of Media Psychology 27, no. 2 (2015): 53–63. http://dx.doi.org/10.1027/1864-1105/a000130.

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The study reported here compared how younger and older adults processed the same set of media messages which were selected to vary on two factors, arousing content and valence. Results showed that older and younger adults had similar arousal responses but different patterns of attention and memory. Older adults paid more attention to all messages than did younger adults. However, this attention did not translate into greater memory. Older and younger adults had similar levels of memory for slow-paced messages, but younger adults outperformed older adults significantly as pacing increased, and
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19

Isaenko, Sergey. "Slow-moving capital and stock returns." Quantitative Finance 20, no. 6 (2020): 969–84. http://dx.doi.org/10.1080/14697688.2020.1720276.

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20

Kareiva, Peter, Michelle Marvier, Sabrina West, and Joy Hornisher. "Slow-moving journals hinder conservation efforts." Nature 420, no. 6911 (2002): 15. http://dx.doi.org/10.1038/420015a.

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21

S. Pinzke and P. Lundqvist. "SLOW-MOVING VEHICLES IN SWEDISH TRAFFIC." Journal of Agricultural Safety and Health 10, no. 2 (2004): 121–26. http://dx.doi.org/10.13031/2013.16071.

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22

Bella, F., P. F. Biagi, M. Caputo, et al. "Very slow-moving crustal strain disturbances." Tectonophysics 179, no. 1-2 (1990): 131–39. http://dx.doi.org/10.1016/0040-1951(90)90362-c.

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23

Moran, Peter. "Slow Down! Weʼre Moving Too Fast!" Professional Case Management 14, № 4 (2009): 201–2. http://dx.doi.org/10.1097/ncm.0b013e3181b10aa4.

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24

Woods, Paul. "Slow-moving magnetar a new breed?" Nature Astronomy 9, no. 5 (2025): 620. https://doi.org/10.1038/s41550-025-02567-x.

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25

Xia, Xiaotang, Hong Yan, Yuting Qin, and Tingyang Li. "The Optimization of a Slow-Walking System in a Higher Education Campus—Taking the Huangjiahu Campus of Wuhan University of Science and Technology as an Example." Sustainability 16, no. 19 (2024): 8591. http://dx.doi.org/10.3390/su16198591.

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The design of slow-moving systems in colleges and universities is a critical factor in ensuring the safety, convenience, and comfort of campus transportation. This study focuses on the Huangjiahu Campus of Wuhan University of Science and Technology, conducting an in-depth analysis of the current shortcomings in the campus’s slow-moving system with respect to safety, convenience, and comfort. The analysis employs the PLPS research method and statistical analysis, while the satisfaction with the slow-moving transportation system is further assessed using the IPA method. The study identifies key
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26

Kaltum, Umi, Ulfah Windriani Pramudya, and Wa Ode Zusnita. "Pengendalian Persediaan Slow Moving Item PT PLN (Persero) Area Bandung." Jurnal Manajemen dan Bisnis Indonesia 5, no. 3 (2018): 412–24. http://dx.doi.org/10.31843/jmbi.v5i3.176.

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Penelitian ini dilakukan untuk mengetahui klasifikasi material berdasarkan pergerakan suatu item dengan menggunakan average stay dan consumption rate sebagai parameternya, dan . selisih total biaya persediaan dengan metode perusahaan dan dengan menggunakan metode usulan. Metode penelitian adalah studi kasus dengan menggunakan data sekunder persediaan di PT PLN (Persero) Distribusi Jawa Barat Area Bandung. Hasil penelitian menunjukkan bahwa klasifikasi dengan menggunakan fast moving, slow moving, non moving (FSN) analysis menyatakan bahwa dari 225 jenis material yang ada, 81% material termasuk
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27

W, Sarada, and Kumar P V. "Finding out Fast Moving and Slow Moving Items using Fuzzy Logic." International Journal of Computer Science and Engineering 6, no. 8 (2019): 13–15. http://dx.doi.org/10.14445/23488387/ijcse-v6i8p103.

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28

Lu, Chiao-Yin, Yu-Chang Chan, Jyr-Ching Hu, Chia-Han Tseng, Che-Hsin Liu, and Chih-Hsin Chang. "Seasonal Surface Fluctuation of a Slow-Moving Landslide Detected by Multitemporal Interferometry (MTI) on the Huafan University Campus, Northern Taiwan." Remote Sensing 13, no. 19 (2021): 4006. http://dx.doi.org/10.3390/rs13194006.

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A slow-moving landslide on the Huafan University campus, which is located on a dip slope in northern Taiwan, has been observed since 1990. However, reliable monitoring data are difficult to acquire after 2018 due to the lack of continuous maintenance of the field measurement equipment. In this study, the multitemporal interferometry (MTI) technique is applied with Sentinel-1 SAR images to monitor the slow-moving landslide from 2014–2019. The slow-moving areas detected by persistent scatterer (PS) pixels are consistent with the range of previous studies, which are based on in situ monitoring da
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29

Prasetyo, Mulyadi, Tasnim Tasnim, and Sartini Riski. "Control of Dead Stock and Slow-Moving Drugs in the Pharmacy Installation of the Kendari City Regional General Hospital." INDONESIAN JOURNAL OF HEALTH SCIENCES RESEARCH AND DEVELOPMENT (IJHSRD) 5, no. 2 (2023): 73–84. http://dx.doi.org/10.36566/ijhsrd/vol5.iss2/173.

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Background: Dead stock and slow moving is still one of the main problems in drug management in primary health facilities. Based on the results of initial observations, data was obtained from the Kendari City Hospital which showed that there were 7 drug items with a total number of 2,682 pcs that experienced slow moving and dead stock in 2019-2021. The purpose of this study was to analyze dead stock and slow-moving drugs at the Kendari City Hospital pharmacy installation Methods: This research method is qualitative research using a case study approach, with data analysis using the QSR NVivo 12
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30

., R. R. Singh. "STUDY ON PEDESTRIAN AND SLOW MOVING TRAFFIC." International Journal of Research in Engineering and Technology 03, no. 05 (2014): 844–54. http://dx.doi.org/10.15623/ijret.2014.0305155.

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31

Sniderman, Paul M. "Evaluation Standards for a Slow-Moving Science." PS: Political Science and Politics 28, no. 3 (1995): 464. http://dx.doi.org/10.2307/420307.

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32

Schultz, Carl R. "Replenishment Delays for Expensive Slow-Moving Items." Management Science 35, no. 12 (1989): 1454–62. http://dx.doi.org/10.1287/mnsc.35.12.1454.

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33

Dhakshayani, Ekambaram, and S. Narayanan. "Demand forecasting model for slow moving items." International Journal of Logistics Systems and Management 19, no. 2 (2014): 245. http://dx.doi.org/10.1504/ijlsm.2014.064660.

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34

Lacroix, Pascal, Alexander L. Handwerger, and Grégory Bièvre. "Life and death of slow-moving landslides." Nature Reviews Earth & Environment 1, no. 8 (2020): 404–19. http://dx.doi.org/10.1038/s43017-020-0072-8.

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35

Sniderman, Paul M. "Evaluation Standards for a Slow-Moving Science." PS: Political Science & Politics 28, no. 03 (1995): 464–67. http://dx.doi.org/10.1017/s1049096500057668.

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36

Fuchs, William, Brett Green, and Dimitris Papanikolaou. "Adverse selection, slow-moving capital, and misallocation." Journal of Financial Economics 120, no. 2 (2016): 286–308. http://dx.doi.org/10.1016/j.jfineco.2016.01.001.

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37

Tuure, Veli-Matti, Markku Lätti, and Eerikki Kaila. "884 Slow-moving agricultural vehicles in traffic." Injury Prevention 22, Suppl 2 (2016): A315.2—A315. http://dx.doi.org/10.1136/injuryprev-2016-042156.884.

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38

Bradford, John W., and Paul K. Sugrue. "Inventory rotation policies for slow moving items." Naval Research Logistics 38, no. 1 (1991): 87–105. http://dx.doi.org/10.1002/1520-6750(199102)38:1<87::aid-nav3220380109>3.0.co;2-v.

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39

Hahn, G. J., and A. Leucht. "Managing inventory systems of slow-moving items." International Journal of Production Economics 170 (December 2015): 543–50. http://dx.doi.org/10.1016/j.ijpe.2015.08.014.

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40

Wang, Guorong, Ting zhang, Rong Shi, and Bogang Li. "The design of the slow-moving system of the new cave building based on the concept of "slow city"." E3S Web of Conferences 236 (2021): 05094. http://dx.doi.org/10.1051/e3sconf/202123605094.

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This paper fully discusses the design method of the slow-moving system of new cave buildings based on the concept of "slow city" by various modes of passage and road design, slow-moving system plant design, landscape node design, ecological facilities and so on. Cave architecture is an important part of native architecture, mainly distributed in china's loess plateau area, which is an ancient form of living. With the development of the times, the new cave building is still full of vitality. Based on the concept of "slow city", the design method of construction creates a slow-moving system into
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41

Lebrun, Renaud, Alexandre Perier, Judith Masters, Laurent Marivaux, and Sébastien Couette. "Lower Levels of Vestibular Developmental Stability in Slow-Moving than Fast-Moving Primates." Symmetry 13, no. 12 (2021): 2305. http://dx.doi.org/10.3390/sym13122305.

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The vestibular system of the mammalian inner ear senses angular and linear velocity of the head and enables animals to maintain their balance. Vestibular anatomy has been studied extensively in order to link its structure to particular kinds of locomotion. Available evidence indicates that, in primates, slow-moving species show higher levels of vestibular variation than fast-moving taxa. We analysed intraspecific morphological variation and fluctuating asymmetry (FA) levels in the semicircular canal systems of six species of lorisiform primates: three slow-moving lorisids and three fast-moving
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42

Indah, Besse, Andi Meliani, Saiful Mangngenre, Andi Nurwahidah, and Arni Amri. "Determining consumer demand patterns for production planning using a data mining approach." Acta logistica 11, no. 02 (2024): 233–43. http://dx.doi.org/10.22306/al.v11i2.504.

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The bread industry faces significant risks of losses in case of excess inventory. The initial stage in the K-Means Clustering Algorithm involves forming two clusters: C1 for slow-moving product data and C2 for fast-moving. Clustering products using the K-Means Algorithm resulted in Group 1 as slow-moving products with 44 types of items and Group 2 as fast-moving products with 15 types of items. It can be concluded that the bakery is experiencing losses due to an excess of overstocked products. After categorizing data into slow-moving and fast-moving groups, the subsequent phase involves employ
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43

Dewi Savitri, Fuspita. "Penerapan Metode Cart Dalam Memprediksi Penjualan Produk Fast Moving Dan Slow Moving." Journal of Informatics, Electrical and Electronics Engineering 1, no. 4 (2022): 119–25. http://dx.doi.org/10.47065/jieee.v1i4.351.

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The need for precise, precise and accurate information has become a material for companies, organizations or agencies with an interest in making and obtaining decisions that will be achieved. Decisions taken are more precise, they must be supported by relevant and accurate data. The use of information technology can generate profits and increase the efficiency of a company. The very rapid advancement of information technology creates problems in predicting fast moving and slow moving products. The problem arises because the company has not been able to anticipate things that will come in influ
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44

Glastonbury, James, and Robin Fell. "Geotechnical characteristics of large slow, very slow, and extremely slow landslides." Canadian Geotechnical Journal 45, no. 7 (2008): 984–1005. http://dx.doi.org/10.1139/t08-021.

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Based on a study of 45 large slow-moving landslides, it is apparent that for a landslide to travel slowly after failure, the sliding is most likely to be active or reactivated, on a basal rupture surface at or close to residual strength. The likelihood of slow movement after failure is also increased when the inclination of the basal rupture surface is less than the residual friction angle. The slow-moving landslides are all of low rock-mass strength with varying degrees of disaggregation, or they possess soil strength. The influence of lateral margins on landslide restraint is generally small
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45

Emar, Walid, Zakaria Anas Al-Omari, and Sami Alharbi. "Analysis of inventory management of slow-moving spare parts by using ABC techniques and EOQ model-a case study." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 2 (2021): 1159–69. https://doi.org/10.11591/ijeecs.v23.i2.pp1159-1169.

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Computer spare parts (CSPs) inventory management (IM) is very important for many companies. Excess inventory leads to high storage costs. On the other hand, the lack of CSP has a strong impact on the quality of service. This study was conducted by Power-One Jordan Computer HardwareSoftware company (POJCHSC), Amman, Jordan. The focus area was the IM department, and the target sample was employees working in the management department. The results showed that factors influencing the management of slow moving CSPs include production costs, obsolescence and CSPs dependence availability, and transpo
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46

Akhmad Subhan, Ahmad Faqih, and Bambang Irawan. "CLUSTERING ITEM FAST MOVING DAN SLOW MOVING PADA PRODUK UNILEVER MENGGUNAKAN ALGORITMA K-PROTOTYPE." JATI (Jurnal Mahasiswa Teknik Informatika) 6, no. 2 (2022): 629–34. http://dx.doi.org/10.36040/jati.v6i2.5543.

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Pada supermarket terdapat dua kategori produk yaitu produk fast moving merupakan produk yang cepat terjualan sedangkan produk slow moving merupakan produk yang penjualannya lambat. Penentuan kategori produk sebenarnya sangat penting, namun penentuannya masih menggunakan pendekatan empiris sehingga penentuannya masih kurang tepat atau bahkan tidak dilakukan pengkategorian produk sama sekali. Padahal kesalahan dalam penentuan kategori suatu produk jelas mempengaruhi stok produk. Produk yang salah dikategorikan akan mengakibatkan stok produk habis ataupun sebaliknya stok produk menjadi menumpuk.
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47

Kończalski, Karol, Marian J. Łopatka, Mirosław Przybysz, and Arkadiusz Rubiec. "Hydrostatic drivetrains efficiency of slow-moving terrain vehicles." AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 19, no. 6 (2018): 876–80. http://dx.doi.org/10.24136/atest.2018.194.

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This paper presents issues of hydrostatic drivetrains applied in slow-moving transport terrain vehicles. Short description of such a vehicles was described. Next efficiency of hydrostatic drivetrains and main factors which has influence on its efficiency was discussed. It was characterized two types of hydraulic components efficiency: volumetric and hydro-mechanic. They have detrimental effect on power loses in hydrostatic drivetrains. In final part of the paper efficiency of few hydraulic motors in the same load conditions was compare.
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48

Nawawi, Anuar, and Ahmad Saiful Azlin Puteh Salin. "Slow moving stock problem: empirical evidence from Malaysia." International Journal of Law and Management 60, no. 5 (2018): 1148–62. http://dx.doi.org/10.1108/ijlma-06-2017-0142.

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Purpose The purpose of this study is to identify weaknesses in the internal control of the stock management processes and provide recommendations to improve those weaknesses. The study also analyses whether the current stock management processes are adequately documented and updated regularly. Design/methodology/approach One company involved in the automotive industry was selected as a case study and its stock management examined, focusing on the processes involved and the reliability of the current inventory system. Data were collected via interviews with the selected staff and document analy
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49

Luu, J. X., and D. Jewitt. "A two-part search for slow-moving objects." Astronomical Journal 95 (April 1988): 1256. http://dx.doi.org/10.1086/114721.

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50

Lundqvist, P., and S. Pinzke. "Road Accidents Involving Slow Moving Vehicles in Sweden." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 20 (2000): 3–378. http://dx.doi.org/10.1177/154193120004402045.

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