Relevant bibliographies by topics / Automated storage systems

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Automated storage systems'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Automated storage systems"

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MELLER, RUSSELL D., and ANAN MUNGWATTANA. "Multi-shuttle automated storage/retrieval systems." IIE Transactions 29, no. 10 (October 1997): 925–38. http://dx.doi.org/10.1080/07408179708966412.

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Yuan, Rong, Stephen C. Graves, and Tolga Cezik. "Velocity-Based Storage Assignment in Semi-Automated Storage Systems." Production and Operations Management 28, no. 2 (July 31, 2018): 354–73. http://dx.doi.org/10.1111/poms.12925.

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Jakubiec, Beata. "Power supply systems of Automated Guided Vehicle l." AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 19, no. 6 (June 30, 2018): 486–89. http://dx.doi.org/10.24136/atest.2018.118.

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The development of technologies in the field of energy storage and loader solutions has influenced the creation of many ways to power the automatic trucks. The article discusses the technologies of power systems used in Automated Guided Vehicle.
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BERRY, IAN, JULIE WILSON, JON DIPROSE, DAVE STUART, STEPHEN FULLER, and ROBERT ESNOUF. "IMAGE STORAGE FOR AUTOMATED CRYSTALLIZATION IMAGING SYSTEMS." International Journal of Neural Systems 15, no. 06 (December 2005): 415–25. http://dx.doi.org/10.1142/s0129065705000384.

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To use crystallography for the determination of the three-dimensional structures of proteins, protein crystals need to be grown. Automated imaging systems are increasingly being used to monitor these crystallization experiments. These present problems of accessibility to the data, repeatability of any image analysis performed and the amount of storage required. Various image formats and techniques can be combined to provide effective solutions to high volume processing problems such as these, however lack of widespread support for the most effective algorithms, such as JPeg2000 which yielded a 64% improvement in file size over the bitmap, currently inhibits the immediate take up of this approach.
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Lee, Heungsoon Felix, and Samantha K. Schaefer. "Sequencing methods for automated storage and retrieval systems with dedicated storage." Computers & Industrial Engineering 32, no. 2 (April 1997): 351–62. http://dx.doi.org/10.1016/s0360-8352(96)00298-7.

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Zaerpour, Nima, Rosalie Volbeda, and Amir Gharehgozli. "Automated or manual storage systems: do throughput and storage capacity matter?" INFOR: Information Systems and Operational Research 57, no. 1 (January 2, 2019): 99–120. http://dx.doi.org/10.1080/03155986.2018.1532765.

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Cooksey, D. L. "Comparison of conventional and automated refrigerated storage systems." International Journal of Refrigeration 9, no. 2 (March 1986): 99–104. http://dx.doi.org/10.1016/0140-7007(86)90041-1.

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EYNAN, AMIT, and MEIR J. ROSENBLATT. "An interleaving policy in automated storage/retrieval systems." International Journal of Production Research 31, no. 1 (January 1993): 1–18. http://dx.doi.org/10.1080/00207549308956710.

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Tersine, Richard J., Marsha H. Nelson, and Susan J. Willer. "Enhancing Productivity with Automated Storage and Retrieval Systems." Journal of Purchasing and Materials Management 21, no. 3 (September 1985): 19–24. http://dx.doi.org/10.1111/j.1745-493x.1985.tb00138.x.

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FOLEY, ROBERT D., EDWARD H. FRAZELLE, and BYUNG CHUN PARK. "Throughput bounds for miniload automated storage/retrieval systems." IIE Transactions 34, no. 10 (October 2002): 915–20. http://dx.doi.org/10.1080/07408170208928922.

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Dissertations / Theses on the topic "Automated storage systems"

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Xie, Jinsheng. "On the analysis of selected automated storage and retrieval systems." Diss., Georgia Institute of Technology, 1985. http://hdl.handle.net/1853/25020.

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Bhagwan, Ranjita. "Automated availability management in large-scale storage systems /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2004. http://wwwlib.umi.com/cr/ucsd/fullcit?p3144326.

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Dou, Chao. "Development of Storage and Retrieval Algorithms for Automated Parking Systems." University of Toledo / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1333678326.

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Anton, Lindh. "Lagerhantering och Automated Storage and Retrieval System (AS/RS) : En flerfallstudie om Automated Storage and Retrieval systems för- och nackdelar för en kostnadseffektiv lagerhantering." Thesis, Linnéuniversitetet, Institutionen för ekonomistyrning och logistik (ELO), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-96386.

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Titel: Lagerhantering och Automated Storage and Retrieval System (AS/RS) – En flerfallstudie om Automated Storage and Retrieval systems för- och nackdelar för en kostnadseffektiv lagerhantering Kurs: Examensarbete i Controller för Civilekonomprogrammet, 30 hp (4FE18E) Lärosäte: Ekonomihögskolan vid Linnéuniversitetet i Växjö Författare: Anton Lindh Inledning: Lagerverksamheten har fått en ökad betydelse för företags framgång. Designen på moderna lager har en stor påverkan på investering- och driftkostnad. Vidare sätter e-handelns ökning samt kunders krav press på lagerverksamheter i form av ökat behov av lagerutrymme, behov av alternativ för att hålla nere höga personalkostnader samt snabba leveranser. Automated Storage and Retrieval systems (AS/RS) är ett automatiserat lagersystem som ökar stadigt i användning hos stora företag. I uppsatsen görs försök att undersöka hur för- och nackdelarna påverkar kostnadseffektiviteten av lagerhanteringen och lagerverksamheten. Även huvudtyperna av AS/R system samt AS/R systemets komponenter undersöks för att ge en möjlig förklaring till hur dessa påverkar utfallet av systemets kostnadseffektivitet Syfte: Syftet med uppsatsen är att kartlägga de för- och nackdelar som AS/R system bidrar till lagerhanteringen samt hur för- och nackdelarna kan påverka hur kostnadseffektiv lagerhantering blir. En del av syftet med att besvara fråga 1 och 2 är att kunna vidare djupdyka i och analysera de olika typer och komponenter ett AS/RS består av och se hur dem specifikt kan bidra till slutsatserna av fråga 2. Besvarandet av frågorna ska bidra till ökadförståelse om hur AS/RS på olika sätt kan hjälpa (eller stjälpa) lagerverksamheten och lagerhanteringen att bli mer kostnadseffektiv hos företagMetod: I uppsatsen har en flerfallstudie genomförts med 3 företag som tillsammans har 4 AS/R system. Den empiriska materialinsamlingen skedde genom semistrukturerade intervjuer. Slutsats: Slutsatserna belyser flera för- och nackdelar. Framstående slutsatser inkluderar nackdelar såsom att AS/R system har höga initiala investeringskostnader samt flera flexibilitetsproblem som kan hindra en kostnadseffektiv lagerhantering. Å andra sidan har flera fördelar belysts såsom hög genomströmningskapacitet på grund av underlättande av rutiner och högre produktivitet tillsammans med lägre personalkostnader och minskad ytanvändning. Två analytiska modeller är även presenterade för slutsatserna kring AS/R systemens huvudtyper samt komponenter och deras påverkan på en kostnadseffektiv lagerhantering.
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Towert, D. S. W. M. "Acquisition and storage of data from manual and automated ultrasonic systems." Thesis, Open University, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.233852.

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Mo, Yiu Wing. "Comparative study on routing strategies for integrated automated storage and retrieval system /." View abstract or full-text, 2005. http://library.ust.hk/cgi/db/thesis.pl?IEEM%202005%20MO.

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Hollender, Ken James. "A study of input/output systems for unit-load high-rise automated storage and retrieval systems." Thesis, Georgia Institute of Technology, 1985. http://hdl.handle.net/1853/24868.

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Law, King Yiu. "Two routing strategies with cost update in integrated automated storage and retrieval system /." View abstract or full-text, 2007. http://library.ust.hk/cgi/db/thesis.pl?IELM%202007%20LAW.

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Heidenberg, Alex Jay. "An automated information and distribution system for habitat for humanity international." Thesis, Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/24832.

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Thongmal, Larsson Marie. "A model for material handling improvements when using automated storage systems: A case study." Thesis, Linnaeus University, School of Engineering, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-6350.

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The purpose of this thesis is to create a model of how to organize the placements of articles in an automated storage system in order to reduce time and cost related to the extractions. The model was developed during an investigation at a case company, and a comprehensive study of the material handling identified bottlenecks, whereof one was chosen to be further investigated: the automated storage system. The automated storage system is newly installed equipment, which required new working methods to be incorporated to the already existing working environment. The ABC-analysis was used in order to motivate how the articles should be placed in the automated storage. The goal for the new way of handling material was to put as little effort as possible on time related to the extraction of material. This due to the realization of material handling processes being a huge contributor to waste activities. This resulted in the development of the model and the suggestion that is given to the case company is to place the most frequent extracted articles close to the users. However, advantages must be held against disadvantages of rearrangements since the material handling will not be eliminated totally due to smaller improvements.


Syftet med denna uppsats är att skapa en modell för hur man ska organisera artikelplaceringar i ett automatiserat lagersystem för att reducera tid och kostnad relaterat till uttag av material. Modellen skapades genom en undersökning på ett fallföretag, en omfattande studie av materialhanteringen identifierade flaskhalsar, varav en valdes för fortsatt undersökning: det automatiserade lagersystemet. Det automatiserade lagersystemet är en nyinstallerad utrustning, som kräver att nya arbetsmetoder ska inkorporeras till den redan existerande arbetsmiljön. ABC-analysen användes för att motivera hur artiklarna ska placeras i det automatiserade lagret. Målet för det nya sättet att hantera material på var att så få insatser som möjligt skulle användas för uttag av material. Detta pågrund av insikten utav att materialhanteringsprocesser är en stor bidragande slöserifaktor. Detta resulterade i modellen och förslagen som ges till fallföretaget är att placera de mest frekvent använda artiklarna nära användaren. Emellertid så måste man väga fördelar mot nackdelar av en förändring eftersom materialhanteringen inte kommer att elimineras helt pågrund av mindre förbättringar.

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Books on the topic "Automated storage systems"

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Duyn, J. A. Van. Automated crime information systems. Blue Ridge Summit, PA: TAB Professional and Reference Books, 1991.

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Kemme, Nils. Design and Operation of Automated Container Storage Systems. Heidelberg: Physica-Verlag HD, 2013.

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Kemme, Nils. Design and Operation of Automated Container Storage Systems. Heidelberg: Physica-Verlag HD, 2013. http://dx.doi.org/10.1007/978-3-7908-2885-6.

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Saffady, William. Personal computer systems for automated document storage and retrieval. Silver Spring, MD: Association for Information and Image Management, 1989.

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Directory of automated library systems. New York: Neal-Schuman Publishers, 1985.

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Corbin, John Boyd. Directory of automated library systems. 2nd ed. New York: Neal-Schuman Publishers, 1989.

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Library of Congress. Copyright Office. Copyright registration for automated databases. Washington, D.C. (101 Independence Ave., S.E., Washington 20559-6000): Library of Congress, Copyright Office, 1999.

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Library of Congress. Copyright Office. Copyright registration for automated databases. Washington, D.C: Copyright Office, Library of Congress, 1992.

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Automated media management systems. New York: Neal-Schuman, 1991.

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Gardner, Jack H. Automated compound storage & retrieval: World markets, trends & opportunities. Edited by Heffner Steven and Kalorama Information LLC. New York, N.Y: Kalorama Information, 2002.

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Book chapters on the topic "Automated storage systems"

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van den Berg, Jeroen, and Noud Gademann. "Control Strategies for Automated Storage/Retrieval Systems." In Operations Research Proceedings 1993, 197. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-78910-6_67.

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Lerher, Tone, and Matjaž Šraml. "Designing Unit Load Automated Storage and Retrieval Systems." In Warehousing in the Global Supply Chain, 211–31. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2274-6_9.

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Das, Amiya Sagar, Prashant Kumar Dwivedi, Amit Kumar Mondal, Roushan Kumar, R. Manohar Reddy, and Adesh Kumar. "Storage Optimization of Automated Storage and Retrieval Systems Using Breadth-First Search Algorithm." In Lecture Notes in Electrical Engineering, 229–38. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-2999-8_18.

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Habl, Andreas, Valentin Plapp, and Johannes Fottner. "Operating High-Powered Automated Vehicle Storage and Retrieval Systems in Multi-deep Storage." In LISS2019, 715–27. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5682-1_52.

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Elsayed, E. A. "Order Sequencing in Automated Storage/Retrieval Systems with Due Dates." In Progress in Material Handling and Logistics, 245–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-84356-3_13.

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Khojasteh-Ghamari, Yaghoub. "Warehouse Management: Productivity Improvement in Automated Storage and Retrieval Systems." In Warehousing in the Global Supply Chain, 233–60. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2274-6_10.

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Raith, Chiara, Manuel Woschank, and Helmut Zsifkovits. "Automated Performance Measurement in Internal Logistics Systems." In Implementing Industry 4.0 in SMEs, 211–31. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70516-9_7.

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AbstractIn addition to economic and on-time order fulfillment, the monitoring of the plant performance and its related key performance indicators is a central task of logistics management and control systems. Currently, the determination and calculation of performance figures within the framework of site acceptance tests of automated logistics systems are plant-specific and, therefore, require a lot of manual effort. In this chapter, the authors develop a concept for the automated determination of performance indicators for storage and conveying systems. Based on a comprehensive literature review, structured expert interviews and including various perspectives from industrial applications the approach is designed. Further, the impact of the proposed concept on the logistics performance of the plant and the adequate selection of a maintenance strategy is discussed.
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Cinar, Zeki Murat, and Qasim Zeeshan. "Design and Optimization of Automated Storage and Retrieval Systems: A Review." In Lecture Notes in Management and Industrial Engineering, 177–90. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76724-2_14.

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Chen, Zhuxi, and Yun Li. "Dual-Command Operation Generation in Bi-Directional Flow-Rack Automated Storage and Retrieval Systems with Random Storage Policy." In Proceedings of the 2015 Chinese Intelligent Systems Conference, 125–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-48365-7_13.

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Jimenez, Jose-Fernando, Andrés-Camilo Rincón, Daniel-Rolando Rodríguez, and Yenny Alexandra Paredes Astudillo. "A Hybrid Control Architecture for an Automated Storage and Retrieval System." In Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future, 30–41. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80906-5_3.

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Conference papers on the topic "Automated storage systems"

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Gulardo, Robert E. "Automated Storage and Retrieval Systems and the Citrus Industry." In ASME 1986 Citrus Engineering Conference. American Society of Mechanical Engineers, 1986. http://dx.doi.org/10.1115/cec1986-3203.

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“Automate to survive” has become an industrial cliché. Like all clichés, it contains a kernel of truth. But, again, like all clichés, it needs to be periodically reexamined to see if it really fits the situation to which it’s being applied. Automation is not an end in itself. It is a means to an end. Simple as that proposition is, surprisingly it is not one that is always immediately recognized. Just as it was once an up-hill effort to convince management that operations ought to be automated, it can now be a difficult task to persuade them they ought not to automate. The “factory of the future” — the completely automated, labor-free plant — is an appealing concept. However, it can also be misleading. Paper published with permission.
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Chandra, Surendar, Ashish Gehani, and Xuwen Yu. "Automated Storage Reclamation Using Temporal Importance Annotations." In 27th International Conference on Distributed Computing Systems (ICDCS '07). IEEE, 2007. http://dx.doi.org/10.1109/icdcs.2007.86.

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Raghunath, Sethuraman, Ronald Perry, and Thomas Cullinane. "Interactive simulation modeling of automated storage retrieval systems." In the 18th conference. New York, New York, USA: ACM Press, 1986. http://dx.doi.org/10.1145/318242.318499.

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Olson, M. Ben, Tong Zhou, Michael R. Jantz, Kshitij A. Doshi, M. Graham Lopez, and Oscar Hernandez. "MemBrain: Automated Application Guidance for Hybrid Memory Systems." In 2018 IEEE International Conference on Networking, Architecture and Storage (NAS). IEEE, 2018. http://dx.doi.org/10.1109/nas.2018.8515694.

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Wang, Min, and Zhu-Xi Chen. "Improvement of Modi-InDeep Storage in Flow-rack Automated Storage and Retrieval Systems." In 4th Annual International Conference on Management, Economics and Social Development (ICMESD 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/icmesd-18.2018.30.

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Zhou, Ling, Guiliang Zhou, and Xiaoqian Xie. "Notice of Retraction: An Optimal Storage Assignment Policy for Automated Storage and Retrieval Systems." In 2010 2nd International Workshop on Education Technology and Computer Science (ETCS). IEEE, 2010. http://dx.doi.org/10.1109/etcs.2010.301.

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Bargiotas, Dimitrios, Aphrodite Ktena, Christos Manasis, and Onoufrios Ladoukakis. "A Scalable Low-Cost Automated Storage & Retrieval System." In 2009 16th International Conference on Systems, Signals and Image Processing. IEEE, 2009. http://dx.doi.org/10.1109/iwssip.2009.5367724.

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Kucera, Erik, and Branislav Hruz. "Modelling of automated storage systems using Hierarchical Coloured Petri nets." In 2014 15th International Carpathian Control Conference (ICCC). IEEE, 2014. http://dx.doi.org/10.1109/carpathiancc.2014.6843613.

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Zhang, Gong, Lawrence Chiu, Clem Dickey, Ling Liu, Paul Muench, and Sangeetha Seshadri. "Automated lookahead data migration in SSD-enabled multi-tiered storage systems." In 2010 IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST). IEEE, 2010. http://dx.doi.org/10.1109/msst.2010.5496999.

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Ma, Yunfeng, and Ying Cao. "Travel Time Analysis of Split-platform Automated Storage and Retrieval Systems with Two Storage Classes." In 2019 16th International Conference on Service Systems and Service Management (ICSSSM). IEEE, 2019. http://dx.doi.org/10.1109/icsssm.2019.8887818.

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Reports on the topic "Automated storage systems"

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Andersen, James Kengo. Automated High Power Permanent Borehole Seismic Source Systems for Long-Term Monitoring of Subsurface CO2 Containment and Storage. Office of Scientific and Technical Information (OSTI), March 2019. http://dx.doi.org/10.2172/1498640.

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Feierl, Lukas, and Peter Luidolt. Automated monitoring, failure detection of key components, control strategies and self-learning controls of key components. IEA SHC Task 55, September 2020. http://dx.doi.org/10.18777/ieashc-task55-2020-0005.

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Andersson, Göran. Thematic synthesis “Energy Networks” of the NRP “Energy”. Swiss National Science Foundation (SNSF), December 2019. http://dx.doi.org/10.46446/publication_nrp70_nrp71.2019.2.en.

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Switzerland’s energy grids are reliable and stable – but they are facing new challenges. These include the fact that the new renewable energy sources, namely photovoltaic systems and wind farms, only produce electricity on an irregular basis. Greater flexibility is therefore required in the energy grid: with new storage solutions for electricity and heat on the supply side and automated load management on the demand side. The potential synergies between the various energy sources must also be exploited.
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Neeley, Aimee, Stace E. Beaulieu, Chris Proctor, Ivona Cetinić, Joe Futrelle, Inia Soto Ramos, Heidi M. Sosik, et al. Standards and practices for reporting plankton and other particle observations from images. Woods Hole Oceanographic Institution, July 2021. http://dx.doi.org/10.1575/1912/27377.

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This technical manual guides the user through the process of creating a data table for the submission of taxonomic and morphological information for plankton and other particles from images to a repository. Guidance is provided to produce documentation that should accompany the submission of plankton and other particle data to a repository, describes data collection and processing techniques, and outlines the creation of a data file. Field names include scientificName that represents the lowest level taxonomic classification (e.g., genus if not certain of species, family if not certain of genus) and scientificNameID, the unique identifier from a reference database such as the World Register of Marine Species or AlgaeBase. The data table described here includes the field names associatedMedia, scientificName/ scientificNameID for both automated and manual identification, biovolume, area_cross_section, length_representation and width_representation. Additional steps that instruct the user on how to format their data for a submission to the Ocean Biodiversity Information System (OBIS) are also included. Examples of documentation and data files are provided for the user to follow. The documentation requirements and data table format are approved by both NASA’s SeaWiFS Bio-optical Archive and Storage System (SeaBASS) and the National Science Foundation’s Biological and Chemical Oceanography Data Management Office (BCO-DMO).
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