Journal articles: 'Automated storage systems'

1

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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2

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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LEE, HEUNGSOON FELIX. "Performance analysis for automated storage and retrieval systems." IIE Transactions 29, no. 1 (January 1997): 15–28. http://dx.doi.org/10.1080/07408179708966308.

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12

Keserla, Adhinarayan, and Brett A. Peters. "Analysis of dual-shuttle automated storage/retrieval systems." Journal of Manufacturing Systems 13, no. 6 (January 1994): 424–34. http://dx.doi.org/10.1016/0278-6125(95)90066-t.

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13

Kovalcik, Justin, and Mike Villalobos. "Automated Storage & Retrieval System." Information Technology and Libraries 38, no. 4 (December 16, 2019): 114–24. http://dx.doi.org/10.6017/ital.v38i4.11273.

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The California State University, Northridge (CSUN) Oviatt Library was the first library in the world to integrate an automated storage and retrieval system (AS/RS) into its operations. The AS/RS continues to provide efficient space management for the library. However, added value has been identified in materials security and inventory as well as customer service. The concept of library as space, paired with improved services and efficiencies, has resulted in the AS/RS becoming a critical component of library operations and future strategy. Staffing, service, and security opportunities paired with support and maintenance challenges, enable the library to provide a unique critique and assessment of an AS/RS.

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Gagliardi, Jean-Philippe, Jacques Renaud, and Angel Ruiz. "On storage assignment policies for unit-load automated storage and retrieval systems." International Journal of Production Research 50, no. 3 (February 2012): 879–92. http://dx.doi.org/10.1080/00207543.2010.543939.

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15

KULTUREL, SADAN, NUR E. OZDEMIREL, CANAN SEPIL, and ZAFER BOZKURT. "Experimental investigation of shared storage assignment policies in automated storage/retrieval systems." IIE Transactions 31, no. 8 (August 1999): 739–49. http://dx.doi.org/10.1080/07408179908969873.

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PARK, BYUNG CHUN. "Optimal dwell point policies for automated storage/retrieval systems with dedicated storage." IIE Transactions 31, no. 10 (October 1999): 1011–113. http://dx.doi.org/10.1080/07408179908969901.

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17

HWANG*, H., I. H. CHANG, S. W. MOON, and J. M. LIM. "ECONOMIC DESIGN OF REFRIGERATED AUTOMATED STORAGE AND RETRIEVAL SYSTEMS." Engineering Optimization 32, no. 2 (October 1999): 249–66. http://dx.doi.org/10.1080/03052159908941299.

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18

Dallari, Fabrizio, Gino Marchet, and Remigio Ruggeri. "Optimisation of man‐on‐board automated storage/retrieval systems." Integrated Manufacturing Systems 11, no. 2 (April 2000): 87–93. http://dx.doi.org/10.1108/09576060010313937.

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19

SEIDMANN, ABRAHAM. "Intelligent control schemes for automated storage and retrieval systems." International Journal of Production Research 26, no. 5 (May 1988): 931–52. http://dx.doi.org/10.1080/00207548808947910.

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20

Knapp, Gerald M., and Hsu-Pin Ben Wang. "Modeling of automated storage/retrieval systems using petri nets." Journal of Manufacturing Systems 11, no. 1 (January 1992): 20–29. http://dx.doi.org/10.1016/0278-6125(92)90014-7.

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21

Tokola, Henri, and Esko Niemi. "Avoiding Fragmentation in Miniload Automated Storage and Retrieval Systems." IFAC-PapersOnLine 48, no. 3 (2015): 1973–77. http://dx.doi.org/10.1016/j.ifacol.2015.06.377.

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22

Marchenko, E. V., Ju V. Marchenko, S. I. Popov, S. G. Kuren, and I. V. Marchenko. "Automated transport and storage systems for road transport companies." IOP Conference Series: Materials Science and Engineering 1083, no. 1 (February 1, 2021): 012063. http://dx.doi.org/10.1088/1757-899x/1083/1/012063.

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23

Azadeh, Kaveh, René De Koster, and Debjit Roy. "Robotized and Automated Warehouse Systems: Review and Recent Developments." Transportation Science 53, no. 4 (July 2019): 917–45. http://dx.doi.org/10.1287/trsc.2018.0873.

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Robotic handling systems are increasingly applied in distribution centers. They require little space, provide flexibility in managing varying demand requirements, and are able to work 24/7. This makes them particularly fit for e-commerce operations. This paper reviews new categories of automated and robotic handling systems, such as shuttle-based storage and retrieval systems, shuttle-based compact storage systems, and robotic mobile fulfillment systems. For each system, we categorize the literature in three groups: system analysis, design optimization, and operations planning and control. Our focus is to identify the research issue and operations research modeling methodology adopted to analyze the problem. We find that many new robotic systems and applications have hardly been studied in academic literature, despite their increasing use in practice. Because of unique system features (such as autonomous control, flexible layout, networked and dynamic operation), new models and methods are needed to address the design and operational control challenges for such systems, in particular, for the integration of subsystems. Integrated robotic warehouse systems will form the next category of warehouses. All vital warehouse design, planning, and control logic, such as methods to design layout, storage and order-picking system selection, storage slotting, order batching, picker routing, and picker to order assignment, will have to be revisited for new robotized warehouses.

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24

Meneghetti, Antonella, and Luca Monti. "Sustainable storage assignment and dwell-point policies for automated storage and retrieval systems." Production Planning & Control 24, no. 6 (December 15, 2011): 511–20. http://dx.doi.org/10.1080/09537287.2011.637525.

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25

Astapenko, N. V., and K. T. Koshekov. "Automation of Control of Technological Process of Storage in a Granary with Horizontal Silos." Mekhatronika, Avtomatizatsiya, Upravlenie 22, no. 9 (September 2, 2021): 475–83. http://dx.doi.org/10.17587/mau.22.475-783.

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Grain storage and processing is the most important component of the grain market infrastructure. The task of grain storage is to ensure complete safety of quantity and quality with minimal labor and money costs. In the laboratory of the M. Kozybayev North Kazakhstan University, a prototype of an innovative type of grain storage was developed using horizontal silos, designed to reduce the cost of construction and reconstruction of elevators while improving quality, increasing storage times and reducing current storage costs. The design feature makes it possible to automate most of the operations of the technological process of grain storage. This article proposes a method for the automated formation of control actions on grain storage equipment as a result of data analysis from temperature, humidity, carbon dioxide level sensors and 3D measurements of the grain surface. A project of an automated system for monitoring and controlling grain storage facilities with horizontal silos has been developed. A distinctive feature of the proposed automated system is the most complete set of conditions for the correct storage of grain in comparison with other control systems for the technological process of a granary. Automation of work is achieved through the developed method for generating control signals, as well as such computational algorithms as forecasting the completion time of loading based on the conditional filling rate of the grain storage section, forecasting the completion time of unloading based on the conditional grain release rate, calculating the grain volume in the section using 3D measurements. The logic of the functioning of the basic algorithms for an automated monitoring and control system for a granary with horizontal silos is based on the analysis of the parameters of temperature, humidity, carbon dioxide level and 3D measurements of the grain surface in the sections of the granary. In the presented project of an automated system, scientific knowledge and achievements in the field of grain storage and the theory of identification measurements were taken into account, which makes it possible to use the described algorithms in information systems for monitoring grain storage facilities of other types.

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26

Zhao, Li, Junhai Ma, and Yinghua Xue. "Multi-mode Intelligent Storage and Retrieval Systems in Automated Warehoue." Research Journal of Applied Sciences, Engineering and Technology 5, no. 14 (April 20, 2013): 3721–26. http://dx.doi.org/10.19026/rjaset.5.4515.

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27

Muthukumaran. G et al.,, Muthukumaran G. et al ,. "Automated Tank Gauging For Hydrocarbon Storage Systems - An Experimental Approach." International Journal of Mechanical and Production Engineering Research and Development 8, no. 6 (2018): 117–24. http://dx.doi.org/10.24247/ijmperddec201813.

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28

Bernabeu, Enrique J., and Josep Tornero. "COOPERATIVE MOTION PLANNING FOR MULTIPLE VEHICLES IN AUTOMATED STORAGE SYSTEMS." IFAC Proceedings Volumes 35, no. 1 (2002): 353–58. http://dx.doi.org/10.3182/20020721-6-es-1901.00871.

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29

Gagliardi, Jean-Philippe, Jacques Renaud, and Angel Ruiz. "Models for automated storage and retrieval systems: a literature review." International Journal of Production Research 50, no. 24 (December 15, 2012): 7110–25. http://dx.doi.org/10.1080/00207543.2011.633234.

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30

Gagliardi, Jean-Philippe, Jacques Renaud, and Angel Ruiz. "Sequencing approaches for multiple-aisle automated storage and retrieval systems." International Journal of Production Research 53, no. 19 (February 18, 2015): 5873–83. http://dx.doi.org/10.1080/00207543.2015.1012600.

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31

BOZER, YAVUZ A., and MYEONSIG CHO. "Throughput performance of automated storage/retrieval systems under stochastic demand." IIE Transactions 37, no. 4 (February 23, 2005): 367–78. http://dx.doi.org/10.1080/07408170590917002.

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32

Elsayed, E. A., and M. K. Lee. "Order Processing in Automated Storage/Retrieval Systems with Due Dates." IIE Transactions 28, no. 7 (July 1996): 567–77. http://dx.doi.org/10.1080/15458830.1996.11770701.

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33

Potrč, I., T. Lerher, J. Kramberger, and M. Šraml. "Simulation model of multi-shuttle automated storage and retrieval systems." Journal of Materials Processing Technology 157-158 (December 2004): 236–44. http://dx.doi.org/10.1016/j.jmatprotec.2004.09.036.

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34

Roodbergen, Kees Jan, and Iris F. A. Vis. "A survey of literature on automated storage and retrieval systems." European Journal of Operational Research 194, no. 2 (April 2009): 343–62. http://dx.doi.org/10.1016/j.ejor.2008.01.038.

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35

Thonemann, Ulrich W., and Margaret L. Brandeau. "Note. Optimal Storage Assignment Policies for Automated Storage and Retrieval Systems with Stochastic Demands." Management Science 44, no. 1 (January 1998): 142–48. http://dx.doi.org/10.1287/mnsc.44.1.142.

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36

Chen, Zhuxi, Xiaoping Li, and Jatinder N. D. Gupta. "Sequencing the storages and retrievals for flow-rack automated storage and retrieval systems with duration-of-stay storage policy." International Journal of Production Research 54, no. 4 (April 27, 2015): 984–98. http://dx.doi.org/10.1080/00207543.2015.1035816.

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37

Wang, Qian, and Jack Yi Tan. "A Reconfigurable Mechanism of Cantilever Storage Racks." Advanced Materials Research 875-877 (February 2014): 863–67. http://dx.doi.org/10.4028/www.scientific.net/amr.875-877.863.

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An automated warehousing system often consists of storage modules, storage and retrieval mechanism, lifting equipment and conveyor systems. These facilities are used to overcome some disadvantages of manually operated warehousing systems which often lead to a high frequency of human errors, high labour cost and low efficiency. The usage of these automated facilities may also be helpful to maximise utilisation of shop floor space and improve efficiency of warehousing operations. On the other hand, at this age of information technology that the access to the internet is just at the fingertip, it has been seen a rising trend for online shopping in the past decade. Thus, manufacturers, suppliers or distributors have been seeking for even more efficient and effective new methods to store and distribute their goods. A number of studies through a literature review suggest that future generation warehouses may be designed and implemented as more centralised and distributed warehousing systems in which customers place their orders on-line and goods will then be dispatched directly to their door steps from these centralised distribution centres. This paper presents a proposal for designing and implementing future generation warehousing systems using fast-growing IT technologies such as radio frequency identification (RFID), wireless sensors and networks. The overall purpose of this study is to develop a conceptual design of an integrated system for future generation automated warehouses by incorporating a new design of storage and retrieval modules with the applications of these IT technologies used for automation activities. The presentation of this paper only highlights the part of this work including a design of a core mechanism for automated storage module namely the cantilever storage racks, which have the feature of scalability and reconfigurability.

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38

Malmborg, Charles J. "Rule of thumb heuristics for configuring storage racks in automated storage and retrieval systems design." International Journal of Production Research 39, no. 3 (January 2001): 511–27. http://dx.doi.org/10.1080/0020754001004368.

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39

Stöhr, Thomas, Michael Schadler, and Norbert Hafner. "Benchmarking the energy efficiency of diverse automated storage and retrieval systems." FME Transaction 46, no. 3 (2018): 330–35. http://dx.doi.org/10.5937/fmet1803330s.

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40

Brezovnik, Simon, Janez Gotlih, Jože Balič, Karl Gotlih, and Miran Brezočnik. "Optimization of an Automated Storage and Retrieval Systems by Swarm Intelligence." Procedia Engineering 100 (2015): 1309–18. http://dx.doi.org/10.1016/j.proeng.2015.01.498.

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41

Dotoli, Mariagrazia, and Maria Pia Fanti. "Deadlock Detection and Avoidance Strategies for Automated Storage and Retrieval Systems." IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews) 37, no. 4 (July 2007): 541–52. http://dx.doi.org/10.1109/tsmcc.2007.897690.

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42

Lerher, T., M. Sraml, I. Potrc, and T. Tollazzi. "Travel time models for double-deep automated storage and retrieval systems." International Journal of Production Research 48, no. 11 (April 29, 2009): 3151–72. http://dx.doi.org/10.1080/00207540902796008.

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43

Gagliardi, Jean-Philippe, Jacques Renaud, and Angel Ruiz. "On sequencing policies for unit-load automated storage and retrieval systems." International Journal of Production Research 52, no. 4 (September 24, 2013): 1090–99. http://dx.doi.org/10.1080/00207543.2013.838331.

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44

Sari, Zaki, Can Saygin, and Noureddine Ghouali. "Travel-time models for flow-rack automated storage and retrieval systems." International Journal of Advanced Manufacturing Technology 25, no. 9-10 (February 20, 2004): 979–87. http://dx.doi.org/10.1007/s00170-003-1932-3.

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45

Randhawa, Sabah U., and Raj Shroff. "Simulation-based design evaluation of unit load automated storage/retrieval systems." Computers & Industrial Engineering 28, no. 1 (January 1995): 71–79. http://dx.doi.org/10.1016/0360-8352(94)00027-k.

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46

Liu, Tian, Yeming Gong, and René B. M. De Koster. "Travel time models for split-platform automated storage and retrieval systems." International Journal of Production Economics 197 (March 2018): 197–214. http://dx.doi.org/10.1016/j.ijpe.2017.12.021.

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47

Boysen, Nils, and Konrad Stephan. "A survey on single crane scheduling in automated storage/retrieval systems." European Journal of Operational Research 254, no. 3 (November 2016): 691–704. http://dx.doi.org/10.1016/j.ejor.2016.04.008.

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48

Azzi, Anna, Daria Battini, Maurizio Faccio, Alessandro Persona, and Fabio Sgarbossa. "Innovative travel time model for dual-shuttle automated storage/retrieval systems." Computers & Industrial Engineering 61, no. 3 (October 2011): 600–607. http://dx.doi.org/10.1016/j.cie.2011.04.015.

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49

Wauters, Tony, Fulgencia Villa, Jan Christiaens, Ramon Alvarez-Valdes, and Greet Vanden Berghe. "A decomposition approach to dual shuttle automated storage and retrieval systems." Computers & Industrial Engineering 101 (November 2016): 325–37. http://dx.doi.org/10.1016/j.cie.2016.09.013.

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50

Sarker, Bhaba R., and P. Sobhan Babu. "Travel time models in automated storage/retrieval systems: A critical review." International Journal of Production Economics 40, no. 2-3 (August 1995): 173–84. http://dx.doi.org/10.1016/0925-5273(95)00075-2.

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Journal articles on the topic 'Automated storage systems'

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