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1
Hu, Xiaomei, Zhaoren Pan, and Shunke Lv. "Picking Path Optimization of Agaricus bisporus Picking Robot." Mathematical Problems in Engineering 2019 (September 25, 2019): 1–16. http://dx.doi.org/10.1155/2019/8973153.
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The design and application of the mushroom picking robot will greatly reduce the labor cost, and it has become one of the research hotspots in the world. Therefore, we independently developed an A. bisporus (a kind of mushroom) picking robot and introduced its functional principle in this paper. At the same time, in order to improve the picking efficiency of the picking robot, a picking path optimization algorithm based on TSP model is proposed. Firstly, based on the TSP model, a picking route model for A. bisporus was established to determine the storage location of each A. bisporus. Then, an improved simulated annealing (I-SA) search algorithm is proposed to find the optimal path sequence. By improving the path initialization module, path generation module, and temperature drop module, the I-SA search algorithm can optimize the picking path in a short time. Finally, in order to improve the stability and reduce the running time of the I-SA search algorithm, a parallel optimization method for global search (“rough exploration”) and local search (“precision exploration”) is proposed. Through simulation experiments, the I-SA search algorithm can search stable and excellent path solution in a relatively short time. Through field experiments on mushroom base, the efficiency of picking A. bisporus can be improved by 14% to 18%, which verifies the effectiveness of the I-SA search algorithm.
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Calzavara, Martina, Robin Hanson, Fabio Sgarbossa, Lars Medbo, and Mats I. Johansson. "Picking from pallet and picking from boxes: a time and ergonomic study." IFAC-PapersOnLine 50, no. 1 (2017): 6888–93. http://dx.doi.org/10.1016/j.ifacol.2017.08.1212.
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3
Dmytrów, Krzysztof. "Consideration of picking time in selection of locations in the order-picking." Studia i Prace WNEiZ 45 (2016): 229–40. http://dx.doi.org/10.18276/sip.2016.45/1-18.
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4
Ma, Yuanyuan, Siyuan Cao, James W. Rector, and Zhishuai Zhang. "Automated arrival-time picking using a pixel-level network." GEOPHYSICS 85, no. 5 (2020): V415—V423. http://dx.doi.org/10.1190/geo2019-0792.1.
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Arrival-time picking is an essential step in seismic processing and imaging. The explosion of seismic data volume requires automated arrival-time picking in a faster and more reliable way than existing methods. We have treated arrival-time picking as a binary image segmentation problem and used an improved pixel-wise convolutional network to pick arrival times automatically. Incorporating continuous spatial information in training enables us to preserve the arrival-time correlation between nearby traces, thus helping to reduce the risk of picking outliers that are common in a traditional trace-by-trace picking method. To train the network, we first convert seismic traces into gray-scale images. Image pixels before manually picked arrival times are labeled with zeros, and those after are tagged with ones. After training and validation, the network automatically learns representative features and generates a probability map to predict the arrival time. We apply the network to a field microseismic data set that was not used for training or validation to test the performance of the method. Then, we analyze the effects of training data volume and signal-to-noise ratio on our autopicking method. We also find the difference between 1D and 2D training data with borehole seismic data. Microseismic and borehole seismic data indicate the proposed network can improve efficiency and accuracy over traditional automated picking methods.
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Hanson, Robin, Lars Medbo, and Mats I. Johansson. "Order batching and time efficiency in kit preparation." Assembly Automation 35, no. 1 (2015): 143–48. http://dx.doi.org/10.1108/aa-05-2014-046.
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Purpose – The purpose of this paper is to determine whether man-hour efficiency of picking is affected by the use of batch preparation, compared to preparation of one kit at a time. This paper focuses on small kit preparation areas. Design/methodology/approach – This paper is based on two experiments that were performed at a vehicle assembly plant and then analysed quantitatively. Findings – The results provide a strong indication of the advantages associated with batch preparation, in terms of man-hour efficiency. Practical implications – The fact that the effects identified during the experiments are substantial, over 20 per cent reduction of average time per picked component in Experiment 1 and 7 per cent in Experiment 2, indicates that the option of batch picking holds potentials for large cost reduction and should be considered when kit preparation systems are designed. Originality/value – Limited research has dealt with the design of kit preparation systems, thus leaving considerable knowledge gaps. Previous research dealing with batch picking focuses on other environments than kitting and on large picking areas where batching can reduce walking distances. In contrast, the current paper focuses on small picking areas, which are common in industrial kitting applications. This paper provides a considerable contribution by demonstrating improvements in time efficiency that batch preparation can offer to small picking areas in addition to larger areas. The discussion also provides a basis for future research, which could focus on aspects other than time efficiency, such as the quality of kit preparation, and variables that might moderate the effect of batching.
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Chang, Suk Hwa. "The Picking Lead Time for the Picking Batch Size in a Warehouse System." Journal of Society of Korea Industrial and Systems Engineering 36, no. 2 (2013): 17–24. http://dx.doi.org/10.11627/jkise.2013.36.2.17.
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7
Vidovič, Ela, and Brigita Gajšek. "Analysing picking errors in vision picking systems." Logistics & Sustainable Transport 11, no. 1 (2020): 90–100. http://dx.doi.org/10.2478/jlst-2020-0006.
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AbstractVision picking empowers users with access to real-time digital order information, while freeing them from handheld radio frequency devices. The smart glasses, as an example of vision picking enabler, provide visual and voice cues to guide order pickers. The glasses mostly also have installed navigation features that can sense the order picker’s position in the warehouse. This paper explores picking errors in vision systems with literature review and experimental work in laboratory environment. The results show the effectiveness of applying vision picking systems for the purposes of active error prevention, when they are compared to established methods, such as paper-picking and using cart mounted displays. A serious competitor to vision picking systems are pick-to-light systems.The strong advantage of vision picking system is that most of the errors are detected early in the process and not at the customer’s site. The cost of fixing the error is thus minimal. Most errors consequently directly influence order picker’s productivity in negative sense. Nonetheless, the distinctive feature of the system is extremely efficient error detection.
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Bogue, Robert. "Fruit picking robots: has their time come?" Industrial Robot: the international journal of robotics research and application 47, no. 2 (2020): 141–45. http://dx.doi.org/10.1108/ir-11-2019-0243.
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Purpose The purpose of this paper is to describe recent fruit picking robot developments with an emphasis on corporate activity rather than academic research. It also aims to provide a view on the commercial prospects for these developments. Design/methodology/approach Following a short introduction, this first discusses strawberry and other soft fruit picking robot developments conducted principally by commercial organisations. It then provides similar details of robots for harvesting apples and other hard fruits. This is followed by a discussion and concluding comments. Findings The shortage of seasonal fruit pickers has stimulated the need for automation. Accordingly, a growing community of companies, many founded in the past five years, are developing fruit picking robots. These are aimed at both soft and hard fruits, such as strawberries and apples, respectively, and exploit advanced vision systems, image processing techniques and AI. Some products are already on the market, whereas many more are due for commercial release during the next two years into what is expected to be a highly competitive market. Originality/value This provides details of the emerging fruit picking robot business by describing the products and manufacturing companies.
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Testoni, A., and P. Eccher Zerbini. "PICKING TIME AND QUALITY IN APPLE STORAGE." Acta Horticulturae, no. 258 (December 1989): 445–54. http://dx.doi.org/10.17660/actahortic.1989.258.51.
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10
Lee, Joo Ae, Yoon Seok Chang, Hyun-Jin Shim, and Sung-Je Cho. "A Study on the Picking Process Time." Procedia Manufacturing 3 (2015): 731–38. http://dx.doi.org/10.1016/j.promfg.2015.07.316.
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11
Chakrabortty, Aditya, Carlota Perez, Jim Watson, et al. "Debate: Time to start picking winners again?" Public Policy Research 17, no. 4 (2011): 183–88. http://dx.doi.org/10.1111/j.1744-540x.2011.00628.x.
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12
Rizaev, Anvar, Rafik Matchanov, A. T. Yuldashev, et al. "Cotton harvesters for one-time cotton-picking." IOP Conference Series: Materials Science and Engineering 1030 (January 15, 2021): 012173. http://dx.doi.org/10.1088/1757-899x/1030/1/012173.
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Lomask, Jesse, Antoine Guitton, Sergey Fomel, Jon Claerbout, and Alejandro A. Valenciano. "Flattening without picking." GEOPHYSICS 71, no. 4 (2006): P13—P20. http://dx.doi.org/10.1190/1.2210848.
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We present an efficient full-volume automatic dense-picking method for flattening seismic data. First local dips (stepouts) are calculated over the entire seismic volume. The dips are then resolved into time shifts (or depth shifts) using a nonlinear Gauss-Newton iterative approach that exploits fast Fourier transforms to minimize computation time. To handle faults (discontinuous reflections), we apply a weighted inversion scheme. The weight identifies locations of faults, allowing dips to be summed around the faults to reduce the influence of erroneous dip estimates near the fault. If a fault model is not provided, we can estimate a suitable weight (essentially a fault indicator) within our inversion using an iteratively reweighted least squares (IRLS) method. The method is tested successfully on both synthetic and field data sets of varying degrees of complexity, including salt piercements, angular unconformities, and laterally limited faults.
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Zhang, Zhao, Renfu Lu, and Cannayen Igathinathane. "A Time and Motion Study for Evaluation of Apple Harvest Processes with Different Harvest Methods." Transactions of the ASABE 63, no. 6 (2020): 1957–67. http://dx.doi.org/10.13031/trans.14144.
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HighlightsWorkers’ apple harvest processes with three harvest methods were evaluated and compared.All three harvest methods had low overall harvest efficiency.Harvest efficiency for the ladder-and-bucket method can be improved by reducing non-picking activities.Innovation for harvest platform systems should focus on improving fruit picking activities.Abstract. In recent years, harvest platforms are being increasingly used by apple growers in the U.S. and many other countries to replace the traditional ladder-and-bucket harvest method. However, the current harvest platforms still have low levels of automation, which limits their potential to achieve greater productivity improvement. This study was therefore aimed at analyzing the harvest process by fruit pickers with three distinct harvest methods and determining potential areas for efficiency improvement. Video recordings of workers with the traditional ladder-and-bucket method, DBR vacuum harvester, and Huron Fruit Systems harvest platform were collected at three commercial orchards during the 2018 harvest season. The videos were then analyzed, using the time and motion technique, and categorized into picking and non-picking activities. Results showed that the average picking time by workers for the ladder-and-bucket, DBR, and Huron harvest methods were 64%, 78%, and 83% of the total time, respectively. After further dividing the picking activity into approaching, detaching, and transporting actions, it was found that the detaching action, which is essential in fruit picking, accounted for only 30% to 32% of the total picking time for the three methods, with the remaining 2/3 of the time spent on the approaching and transporting actions. The ladder-and-bucket, DBR, and Huron harvest methods had a low overall apple detaching efficiency of 21%, 23%, and 26%, respectively, and an overall time index of 45%, 71%, and 80%, respectively (these two parameters were introduced for measuring harvest efficiency). Hence, significant opportunities exist for improving harvest efficiency for the three methods. For the ladder-and-bucket method, efforts should be made on improving non-picking activities, i.e., fruit unloading and minimizing the walking distance to the fruit unloading station or bin. For harvest platforms, efforts should be devoted to the development of innovative fruit catching or receiving and bin filling technologies to reduce fruit picking time (i.e., reducing the time needed to reach fruit on trees and transport picked fruit to conveyors) as well as alleviate the physical demand and occupational hazard for workers by eliminating the use of buckets. Keywords: Apple, Fruit picking, Harvest efficiency, Harvest platform, Horticulture crops, Vacuum harvest.
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Zhang, Zhao, Renfu Lu, and Cannayen Igathinathane. "A Time and Motion Study for Evaluation of Apple Harvest Processes with Different Harvest Methods." Transactions of the ASABE 63, no. 6 (2020): 1957–67. http://dx.doi.org/10.13031/trans14144.
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HighlightsWorkers’ apple harvest processes with three harvest methods were evaluated and compared.All three harvest methods had low overall harvest efficiency.Harvest efficiency for the ladder-and-bucket method can be improved by reducing non-picking activities.Innovation for harvest platform systems should focus on improving fruit picking activities.Abstract. In recent years, harvest platforms are being increasingly used by apple growers in the U.S. and many other countries to replace the traditional ladder-and-bucket harvest method. However, the current harvest platforms still have low levels of automation, which limits their potential to achieve greater productivity improvement. This study was therefore aimed at analyzing the harvest process by fruit pickers with three distinct harvest methods and determining potential areas for efficiency improvement. Video recordings of workers with the traditional ladder-and-bucket method, DBR vacuum harvester, and Huron Fruit Systems harvest platform were collected at three commercial orchards during the 2018 harvest season. The videos were then analyzed, using the time and motion technique, and categorized into picking and non-picking activities. Results showed that the average picking time by workers for the ladder-and-bucket, DBR, and Huron harvest methods were 64%, 78%, and 83% of the total time, respectively. After further dividing the picking activity into approaching, detaching, and transporting actions, it was found that the detaching action, which is essential in fruit picking, accounted for only 30% to 32% of the total picking time for the three methods, with the remaining 2/3 of the time spent on the approaching and transporting actions. The ladder-and-bucket, DBR, and Huron harvest methods had a low overall apple detaching efficiency of 21%, 23%, and 26%, respectively, and an overall time index of 45%, 71%, and 80%, respectively (these two parameters were introduced for measuring harvest efficiency). Hence, significant opportunities exist for improving harvest efficiency for the three methods. For the ladder-and-bucket method, efforts should be made on improving non-picking activities, i.e., fruit unloading and minimizing the walking distance to the fruit unloading station or bin. For harvest platforms, efforts should be devoted to the development of innovative fruit catching or receiving and bin filling technologies to reduce fruit picking time (i.e., reducing the time needed to reach fruit on trees and transport picked fruit to conveyors) as well as alleviate the physical demand and occupational hazard for workers by eliminating the use of buckets. Keywords: Apple, Fruit picking, Harvest efficiency, Harvest platform, Horticulture crops, Vacuum harvest.
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Jiang, H. "Solving Multi-Robot Picking Problem in Warehouses: a Simulation Approach." International Journal of Simulation Modelling 19, no. 4 (2020): 701–12. http://dx.doi.org/10.2507/ijsimm19-4-co19.
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This paper focuses on the order batching problem, aiming at this order batching problem of an e-commerce unmanned warehouse multi-robot picking system, considering the complexity and uncertainty of the system. In this paper establishes a two-stage model with the objective function of maximizing the sum of the average similarity of each picking station and balancing the picking station picking times, and uses a dynamic clustering algorithm to solve the model. The simulation results show that a two-stage order batching model that considers the order similarity and the picking time balance can be established, which can reduce the number of shelves effectively and improve the picking efficiency of warehouse multi-robot system.
17
Leonard, M. "Comparison of Manual and Automatic Onset Time Picking." Bulletin of the Seismological Society of America 90, no. 6 (2000): 1384–90. http://dx.doi.org/10.1785/0120000026.
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18
Dekker, R., M. B. M. de Koster, K. J. Roodbergen, and H. van Kalleveen. "Improving Order-Picking Response Time at Ankor's Warehouse." Interfaces 34, no. 4 (2004): 303–13. http://dx.doi.org/10.1287/inte.1040.0083.
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19
Bogue Consultant, Robert. "Random bin picking: has its time finally come?" Assembly Automation 34, no. 3 (2014): 217–21. http://dx.doi.org/10.1108/aa-03-2014-024.
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Purpose – This paper aims to provide details of recent developments in random bin picking (RBP) technologies and products, together with an insight into its commercial status and prospects. Design/methodology/approach – Following an introduction to RBP, this article discusses the technology, benefits and limitations of RBP. It then considers a number of products and applications and concludes with a brief discussion. Findings – This article shows that RBP offers significant economic and operational benefits, but it is a complex technology and applications remain limited. It is underpinned by advanced machine vision and sophisticated image processing algorithms and continues to be the topic of academic research. Many RBP products have been launched in the past but the latest generation of dedicated vision systems, software packages and fully integrated robotic systems suggest that more widespread applications are imminent. Originality/value – This paper provides a timely introduction to the rapidly developing field of RBP by discussing the technologies and a range of products and applications.
20
Highland, Esther H. "Picking encryption method is no time for secrets." Computers & Security 7, no. 4 (1988): 431. http://dx.doi.org/10.1016/0167-4048(88)90636-0.
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21
Du, Xinwu, Xulong Yang, Jiangtao Ji, Xin Jin, and Lei Chen. "Design and Test of a Pineapple Picking End-effector." Applied Engineering in Agriculture 35, no. 6 (2019): 1045–55. http://dx.doi.org/10.13031/aea.13405.
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Abstract. In eastern China, pineapple harvesting is a complicated and sometimes dangerous task, and an effective method to harvest pineapples instead of picking them manually has not been developed. In this article, a pineapple picking end-effector based on the physical properties of pineapples (static friction characteristics and compressive properties) was designed. The fingers of the end-effector were used to capture a pineapple in the form of step-by-step movement to help reduce fruit damage and plant damage during picking. The indexes of the evaluation of the pineapple picking performance (fruit damage rate, plant damage rate, fruit fall rate and average picking time) were established, and the picking test was conducted at a pineapple plantation. The temperature effect was analyzed in the morning (19°C) and at noon (35°C). The temperature had no significant effect on the picking performance. The picking performance test showed that the size of the fruit might be the main cause of fruit damage. Throughout the picking test, the fruit damage rate was 5%, the plant damage rate was 0%, the fruit fall rate was 1.7%, and the average picking time of each fruit was 14.9 s. Keywords: Pineapple, Physical properties, End-effector, Low damage picking.
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Van Scheers, Louise, and Mike Cant. "The correlation between cherry picking and the distance that consumers travel to do grocery shopping." South African Journal of Economic and Management Sciences 10, no. 2 (2013): 214–22. http://dx.doi.org/10.4102/sajems.v10i2.582.
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Retailers often use price promotions to discriminate between consumers who can shift purchases over time and those who cannot. Retailers consistently tend to charge lower prices than necessary, pricing defensively to prevent loyal customers from cherry picking, or shifting to competitors. Knowledge about cherry picking behaviour will enable retailers to obtain a higher share of disposable income from even price-sensitive shoppers, while at the same time charging higher prices. Recent studies indicate that effective cherry picking entails saving costs through price searching over time, price searching across stores, or both. This study examines the relationship between cherry picking and the distance that consumers travel to do grocery shopping. Interviews were conducted at ten different retail outlets over three days, and the results show that there is a highly significant correlation between cherry picking and the distance that consumers travel to do grocery shopping.These results should help retailers to benefit from cherry picking by taking a proactive approach to store switching and store location, two of the main influences on cherry picking behaviour.
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Charrieau, Laurie M., Lene Bryngemark, Ingemar Hansson, and Helena L. Filipsson. "Improved wet splitter for micropalaeontological analysis, and assessment of uncertainty using data from splitters." Journal of Micropalaeontology 37, no. 1 (2018): 191–94. http://dx.doi.org/10.5194/jm-37-191-2018.
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Abstract. Analyses of foraminiferal assemblages have often been implemented on dry samples, which are easy to split. In some cases, the wet-picking method is preferred as it allows the preservation of more foraminiferal forms and facilitates the picking of live foraminifera. However, the increased execution time needed for wet picking may cause micropalaeontologists to refrain from employing it in a routine way. Here we present an improved and cost-effective wet splitter (including a 3-D printing file) for micropalaeontological samples aimed to reduce picking time while keeping information loss to a minimum. We demonstrate small sample losses as well as statistical consistency across splits. We show that the time saved picking a subset will always be larger than the relative increase in statistical uncertainty.
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Apsalons, Raitis, and Gennady Gromov. "Methodology of Evaluation of the Impact of Picking Area Location on the Total Costs of Warehouse." Transport and Telecommunication Journal 18, no. 4 (2017): 332–44. http://dx.doi.org/10.1515/ttj-2017-0031.
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Abstract The picking system and the layout of the picking area are the key drivers for the evaluation of a warehouse picking cost. There are five variants for organizing the picking process of orders in a warehouse. The choice of a specific variant depends on the total cost of picking. The picking cost is evaluated within an uninterrupted picking process. It means that no stock out occurs in the time period of the picking process. The storing area and the picking area are created as two separate zones for picking quantities of the customer’s orders; the principle of division of orders is observed strictly. Referring to the locations of stock keeping units (SKU), two approaches of the layout of SKU in the picking area can be estimated. The first one is the single picking location for each single SKU, where replenishment is realized in the picking process. The second one - various picking locations for each single SKU, and the replenishment here is realized just only prior to a picking process or after it. The main benefits of the economy of the picking cost as far as these two approaches are concerned are the shortest picking route in the first case and one common replenishment option in the second case.
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Némethy, Sándor, and Björn A. Malmgren. "Microfossil vacuum picker—a new tool for micropaleontologists." Journal of Paleontology 66, no. 4 (1992): 689–90. http://dx.doi.org/10.1017/s0022336000024586.
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A considerable part of micropaleontological work consists of picking microfossils for various types of analyses. Physical removal of specimens from a sample is necessary, for example, in morphometric, stable isotope, geochemical, and molecular studies of microfossils. The traditional method for picking microfossils involves transfer of each specimen from the picking tray to a slide using a moistened brush or a needle. This process requires a great deal of time and the risk of losing or damaging the specimen on the way from the picking tray to the slide is apparent. Furthermore, in geochemical analyses, the use of a moistened brush or needle for picking considerably increases the risk of contamination by undesirable organic substances, such as amino acids and polysaccharids. The brush-licking practised by some micropaleontologists results in anthropogenic contamination, which affects the results of molecular micropaleontologic analyses. We present a simple and effective device for microfossil picking, which may save about 60 percent of the time devoted to picking microfossils and prevent contamination during preparation.
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Jin, Xin, Shu Jun Li, Xue Jun Yang, Jian Min Wu, Zhong Jun Liu, and Han Kun Liu. "Developments in Research on Seedling Auto-Picking Device of Vegetable Transplanter." Applied Mechanics and Materials 364 (August 2013): 375–79. http://dx.doi.org/10.4028/www.scientific.net/amm.364.375.
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Seedling auto-picking device is one of the most important working parts of a vegetable automatic transplanter. Its performance determines the transplanting quality, reliability and operation efficiency. The current developments of the seedling auto-picking device were discussed, and several typical devices were introduced in this paper. The existing problems of seedling auto-picking devices of different picking methods were pointed out. With the advantages of accurate location, high efficiency and easy picking, the mandril-type seedling picking was thought as the better transplanting mode of vegetable plug seedling. At the same time, the development direction of auto-picking devices of vegetable automatic transplanter was provided.
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Huang, Mingsen, Xiaohu Jiang, Long He, Daeun Choi, John Pecchia, and Yaoming Li. "Development of a Robotic Harvesting Mechanism for Button Mushrooms." Transactions of the ASABE 64, no. 2 (2021): 565–75. http://dx.doi.org/10.13031/trans.14194.
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HighlightsA robotic mushroom picking mechanism was developed, including positioning, picking, and stipe trimming.The picking end-effector was designed based on a bending motion around the stipe-substrate joint.The overall success rate of the developed picking mechanism reached 91.4%.Acting time and air pressure for the suction cup were studied in mushroom bruise level tests.Abstract. Button mushroom (Agaricus bisporus) harvesting mainly relies on costly manpower, which is time-consuming and labor-intensive. Robotic harvesting is an alternative method to address this challenge. In this study, a robotic mushroom picking mechanism was designed, including a picking end-effector based on a bending motion, a four degree-of-freedom (DoF) positioning end-effector for moving the picking end-effector, a mushroom stipe trimming end-effector, and an electro-pneumatic control system. A laboratory-scale prototype was fabricated to validate the performance of the mechanism. Bruise tests on the mushroom caps were also conducted to analyze the influence of air pressure and acting time of the suction cup on bruise level. The test results showed that the picking end-effector was successfully positioned to the target locations. The success rate of the picking end-effector was 90% at first pick and increased to 94.2% after second pick. The main reason for the failures was inclined growing condition of those mushrooms, resulting in difficulties in engaging the mushroom cap with the suction cup facing straight downward. The trimming end-effector achieved a success rate of 97% overall. The bruise tests indicated that the air pressure was the main factor affecting the bruise level, compared to the suction cup acting time, and an optimized suction cup may help to alleviate the bruise damage. The laboratory test results indicated that the developed picking mechanism has potential to be implemented in automatic mushroom harvesting. Keywords: Bruise test, End-effector, Mushroom, Robotic harvesting.
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Wu, Zhong-huan, Hong-jie Chen, and Jia-jia Yang. "Optimization of Order-Picking Problems by Intelligent Optimization Algorithm." Mathematical Problems in Engineering 2020 (July 23, 2020): 1–12. http://dx.doi.org/10.1155/2020/6352539.
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To improve the efficiency of warehouse operations, reasonable optimization of picking operations has become an important task of the modern supply chain. For the purpose of optimization of order picking in warehouses, a new fruit fly optimization algorithm, particle swarm optimization, random weight, and weight decrease model are used to solve the mathematical model. Further optimization is achieved through the analysis of the warehouse shelves and screening of the optimal solution of the picking time. In addition, simulation experiments are conducted in the MATLAB environment through programming. The shortest picking time is found out and chosen as an optimized method by taking advantage of the effectiveness of these six algorithms in the picking optimization and comparing the data obtained under the simulation. The result shows that the optimization capacity of RWFOA is better and the picking efficiency is the best.
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Lorenc, Augustyn, and Aurelija Burinskiene. "Improve the orders picking in e-commerce by using WMS data and BigData analysis." FME Transactions 49, no. 1 (2021): 233–43. http://dx.doi.org/10.5937/fme2101233l.
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The primary purpose of the research is the improvement of the orders picking process without additional investments for the software, employees, tool and inventories. For problem-solving, the data about picking is exported and preprocessed from WMS. The BigData analysis and product clustering in Tableau software is delivered using the data, where the Product Allocation Problem (PAP) is solved. Picking time for reference scenario and new analysed one is calculated and compared. The presented research proves that standard data collected by WMS could be used for solving PAP for the reduction of total picking time. The method delivered by authors could be in a typical warehouse, where forklifts and employees do the order picking process. The plan after an upgrade could be used for automatic picking, and implemented WMS. For BigData analysis, Tableau is connected to WMS database. Such solution could be used for everyday analysis and planning the allocation of products. The presented method is easy to use; there is no need to invest in expensive software and automation of the picking process to achieve the high performance of the orders picking process. However, its application allows the increase of efficiency rates. Storekeepers can select more products at the same time. The presented research is original because of using simple methods and analysis of specific data, which until now are only used to calculate employee performance indicators.
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Duan, Li-Mei. "Path Planning for Batch Picking of Warehousing and Logistics Robots Based on Modified A* Algorithm." International Journal of Online Engineering (iJOE) 14, no. 11 (2018): 176. http://dx.doi.org/10.3991/ijoe.v14i11.9527.
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<p class="0abstract"><span lang="EN-US">To make the picking path planning of warehousing and logistics robot in warehouse more efficient and real-time, a path planning for batch picking of warehousing and logistics robots based on the modified A* algorithm was put forward. First of all, the path planning of the single robot batch picking was realized. Then, the time cost was introduced to further improve the A* algorithm to realize the batch picking path planning of the multi-warehouse logistics robots. Finally, according to the algorithm proposed, .Net visual programming technology was applied to build a complete warehouse logistics robot picking path planning simulation system to verify the effectiveness of the algorithm proposed. The research results showed that the algorithm proposed could meet the needs of efficient and real-time path planning in the process of completing batch picking tasks. To sum up, it lays a solid foundation for the realization of intelligent and fully automated warehouse management.</span></p>
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Tian, Xue, Li Zhou, and Jianglong Yang. "Research on Two-stage Order Picking Sequencing for Intensive Shelf." MATEC Web of Conferences 296 (2019): 02003. http://dx.doi.org/10.1051/matecconf/201929602003.
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The increasingly usage of Intensive shelves, greatly increase the utilization of storage space, but also is more demanding on order picking time . Based on the storage layout of intensive mobile shelves, this paper combines the time cost of shelf movement with the moving distance under the guidance of seeking global optimum. Transform the single order picking process into TSP problem, while considering the picking process. The waiting cost of the order, and the minimum of the picking cost and the waiting cost of the whole batch of orders requiring shelf movement, to establish a two-stage mathematical model of the order picking order. Then, the algorithm for solving the model is designed, and the simulation is carried out by numerical examples to illustrate the law and characteristics of the problem more vividly, in order to provide reference and reference for the order picking activities of intensive mobile shelves.
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Senkaya, Mustafa, and Hakan Karslı. "A semi-automatic approach to identify first arrival time: the Cross-Correlation Technique." Earth Sciences Research Journal 18, no. 2 (2015): 107–13. http://dx.doi.org/10.15446/esrj.v18n2.35887.
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<p class="MsoNormal" style="line-height: 200%;">The high-quality interpretation of seismic refraction data depends on the accurate and reliable identification of the first arrival times. First arrivals can be identified on a graphic or image by conventional picking, but this process depends on external factors, such as the scale and quality of the imaging data, amplitude ratio, sensitivity of the picking cursor and user experience. Under these considerations, identifying first arrivals in noisy data becomes more complex and unstable. In this study, the Cross-Correlation Technique (CCT), which is widely used in the process of analyzing reflection data, has been used to pick the first arrival times in noisy or noiseless seismic refraction data by a semi-automatic process. The CCT has reduced the dependence on user and decreased incorrect picking caused by environmental noise, displaying characteristics and scaling factors. The CCT has been tested with synthetic models with different noise contents and various field data. The Chi-square error criterion was used to assess the performance of the pickings. In addition, effects of small-time differences between the conventional picking process and the CCT have been demonstrated on a refraction tomography velocity section. Therefore, we believe that our proposed method is a useful contribution to the existing methods of first arrival picking.</p><p class="MsoNormal" style="line-height: 200%;"> </p><p class="MsoNormal" style="line-height: 200%;"><strong>Resumen</strong></p><p class="MsoNormal" style="line-height: 200%;">La buena interpretación de datos estadísticos de refracción sísmica depende de la identificación acertada y confiable de los tiempos de llegada. Los primeros tiempos de llegada se pueden identificar en un gráfico o imagen por picado convencional, pero este proceso depende de factores externos como la escala y la calidad de información de la imagen, el índice de amplitud, la sensibilidad del cursor de recolección y la experiencia del usuario. Bajo estas consideraciones, la identificación de los tiempos de llegada bajo información ruidosa se vuelve más compleja e inestable. En este estudio, la técnica de Correlación Cruzada (CCT, en inglés), que es ampliamente trabajada en el proceso de análisis de datos de reflexión, se utilizó para seleccionar los primeros tiempos de llegada en información sísmica ruidosa o no ruidosa con un proceso semiautomático. La CCT redujo la dependencia en el usuario y bajó el nivel de selección incorrecta causada por el ruido ambiental al desplegar características y factores de escala. La CCT se ha probado en modelos sintéticos con diferentes contenidos de ruidos y diversa información de campo. El error de la norma Chi-cuadrado se utilizó para evaluar el desempeño de las selecciones. En adición, los efectos de las pequeñas diferencias de tiempo entre el proceso convencional de selección y la CCT se han demostrado en una tomografía reflexiva de velocidad. Además, se estima que el método propuesto es una contribución útil a los métodos existentes de la recolección de los primeros tiempos de llegada.</p>
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Xu, Xiangbin, Caige Xu, and Feng Shi. "Convergence in Bucket Brigades in a Tree-Shaped Picking System." Discrete Dynamics in Nature and Society 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/242958.
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Previous works on the dynamics of bucket brigades have mainly focused on linear production systems or tree-shaped assembly systems with insignificant walk-back time, but this assumption is invalid for most city picking systems. We propose a two-truck bucket brigade tree-shaped picking system when truck walk-back time is significant and analyze the dynamics of the system in each region of the parameter space, showing that relatively complex picking systems can enjoy the benefit of self-balance with minimal managerial intervention and provide insights and operating principles for the implementation and management of the bucket brigade picking system.
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Rubrico, Jose Ildefonso U., Toshimitsu Higashi, Hirofumi Tamura, Makoto Nikaido, and Jun Ota. "A Fast Scheduler for Multiagent in a Warehouse." International Journal of Automation Technology 3, no. 2 (2009): 165–73. http://dx.doi.org/10.20965/ijat.2009.p0165.
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A major goal in scheduling multiagent for warehouse picking is to decrease operating cost by minimizing makespan among transport agents. Computational time must be within ten seconds for real-sized instances. Orders are initially batched by solving the split delivery vehicle routing problem, resulting trips are assigned to agents to balance their picking time, and trips are assigned to minimize blocking delays among agents. Simulation results confirmed that our proposal reduces picking time an average of 11.48% over conventional approaches.
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Gajšek, Brigita, Simona Šinko, Tomaž Kramberger, Marcin Butlewski, Eren Özceylan, and Goran Đukić. "Towards Productive and Ergonomic Order Picking: Multi-Objective Modeling Approach." Applied Sciences 11, no. 9 (2021): 4179. http://dx.doi.org/10.3390/app11094179.
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The logistics sector should strive for sustainability alongside productivity by protecting its order pickers’ health and welfare. Existing storage assignment models are mainly based on the criterion of order picking time and, to a lesser extent, the human factor. In the paper, a solution to a storage assignment problem using a multi-objective model based on binary integer linear programing is presented by developing a solution that considers order picking time, energy expenditure and health risk. The Ovako Working Posture Assessment System (OWAS) method was used for health risk assessment. The downside of solely health risk-optimization is that the average order picking time increases by approximately 33% compared to solely time-optimization. Contrary to this, the developed multi-objective function emphasizing time has proven to be promising in finding a compromise between the optimal order picking time and eliminating work situations with a very-high risk for injuries. Its use increases the time by only 3.8% compared to solely time-optimization while significantly reducing health risk.
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Harrell, R. C., P. D. Adsit, R. D. Munilla, and D. C. Slaughter. "Robotic picking of citrus." Robotica 8, no. 4 (1990): 269–78. http://dx.doi.org/10.1017/s0263574700000308.
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SUMMARYA prototype robot for picking citrus is described which utilized real-time, color machine vision to vision-servo the robot on a targeted fruit. A programming technique is presented which simplified development of the task-level, robot control program. An economic evaluation of robotic harvesting in Florida determined that robotic harvesting would be approximately 50 percent more expensive than conventional hand harvesting. Harvest inefficiency was identified as the most influential factor affecting robotic harvesting economics. Field trial performance is summarized and the potential of commercial robotic harvesting discussed.
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AlTheyab, Abdullah, and G. T. Schuster. "Wavefront picking for 3D tomography and full-waveform inversion." GEOPHYSICS 81, no. 6 (2016): B201—B210. http://dx.doi.org/10.1190/geo2015-0544.1.
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We have developed an efficient approach for picking first-break wavefronts on coarsely sampled time slices of 3D shot gathers. Our objective was to compute a smooth initial velocity model for multiscale full-waveform inversion (FWI). Using interactive software, first-break wavefronts were geometrically modeled on time slices with a minimal number of picks. We picked sparse time slices, performed traveltime tomography, and then compared the predicted traveltimes with the data in-between the picked slices. The picking interval was refined with iterations until the errors in traveltime predictions fell within the limits necessary to avoid cycle skipping in early arrivals FWI. This approach was applied to a 3D ocean-bottom-station data set. Our results indicate that wavefront picking has 28% fewer data slices to pick compared with picking traveltimes in shot gathers. In addition, by using sparse time samples for picking, data storage is reduced by 88%, and therefore allows for a faster visualization and quality control of the picks. Our final traveltime tomogram is sufficient as a starting model for early arrival FWI.
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Kordos, Mirosław, Jan Boryczko, Marcin Blachnik, and Sławomir Golak. "Optimization of Warehouse Operations with Genetic Algorithms." Applied Sciences 10, no. 14 (2020): 4817. http://dx.doi.org/10.3390/app10144817.
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We present a complete, fully automatic solution based on genetic algorithms for the optimization of discrete product placement and of order picking routes in a warehouse. The solution takes as input the warehouse structure and the list of orders and returns the optimized product placement, which minimizes the sum of the order picking times. The order picking routes are optimized mostly by genetic algorithms with multi-parent crossover operator, but for some cases also permutations and local search methods can be used. The product placement is optimized by another genetic algorithm, where the sum of the lengths of the optimized order picking routes is used as the cost of the given product placement. We present several ideas, which improve and accelerate the optimization, as the proper number of parents in crossover, the caching procedure, multiple restart and order grouping. In the presented experiments, in comparison with the random product placement and random product picking order, the optimization of order picking routes allowed the decrease of the total order picking times to 54%, optimization of product placement with the basic version of the method allowed to reduce that time to 26% and optimization of product placement with the methods with the improvements, as multiple restart and multi-parent crossover to 21%.
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Lou, Yihuai, Bo Zhang, Huijing Fang, Danping Cao, Kangning Wang, and Zhizhou Huo. "Simulating the procedure of manual seismic horizon picking." GEOPHYSICS 86, no. 1 (2021): O1—O12. http://dx.doi.org/10.1190/geo2020-0021.1.
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Manual seismic horizon picking is the least efficient interpretation technique in terms of time and effort. The loop-tie is a key “element” and the most time-consuming task in manual horizon picking, which ensures the accuracy of horizon picking. Autopicking techniques have been used since the early 1980s. However, there are few studies simulating the procedure of manual seismic horizon picking and quantitatively evaluating the autopicked horizons. In our proposed method, we perform autopicking on inline and crossline seismic vertical slices independently, similar to the manual horizon picking procedure. We then evaluate the picked horizons using a loop-tie step similar to the loop-tie checking in manual horizon picking. To simulate the loop-tie step in manual picking, we define two dip attributes for each time sample of seismic traces, which are the “left” and “right” reflector dips. We only preserve the portions of the tracked horizons that meet the defined loop-tie checking. Next, we merge the tracked horizons centered at the seeded seismic traces. The two-way traveltime of the merged horizons functions as a “hard” control for the final step of autopicking. Finally, we use the seismic dip attribute to track the horizons over the seismic survey under the hard controls. The real data demonstrate that our algorithm can extract accurate horizons near discontinuities such as faults and unconformities.
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Fink, Ludger, Thomas Kinfe, Werner Seeger, Leander Ermert, Wolfgang Kummer, and Rainer Maria Bohle. "Immunostaining for Cell Picking and Real-Time mRNA Quantitation." American Journal of Pathology 157, no. 5 (2000): 1459–66. http://dx.doi.org/10.1016/s0002-9440(10)64784-0.
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Edan, Y., T. Flash, U. M. Peiper, I. Shmulevich, and Y. Sarig. "Near-minimum-time task planning for fruit-picking robots." IEEE Transactions on Robotics and Automation 7, no. 1 (1991): 48–56. http://dx.doi.org/10.1109/70.68069.
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EDWARDS, T. "Automated real-time hit picking, retesting, and reflux testing." Journal of the Association for Laboratory Automation 9, no. 3 (2004): 135–39. http://dx.doi.org/10.1016/j.jala.2004.04.012.
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Chen, Zai Liang, Shu Xin Xie, and Dong Min Wu. "Order Picking Path Optimization Based on Genetic Algorithm." Key Engineering Materials 464 (January 2011): 379–82. http://dx.doi.org/10.4028/www.scientific.net/kem.464.379.
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Optimizing order picking path of wares properly has been an effective method of advancing automated warehouse operation efficiency. By analyzing the work characteristics of automated warehouse order picking, an automated warehouse order picking mathematical model is proposed which takes total travel time of order picking as the target function. Adopting the strategy of combination of roulette selecting and the optimal individual preservation to implement selecting operation in solving the mathematical model, a good experimental simulation result is received.
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Saragiotis, Christos, Tariq Alkhalifah, and Sergey Fomel. "Automatic traveltime picking using instantaneous traveltime." GEOPHYSICS 78, no. 2 (2013): T53—T58. http://dx.doi.org/10.1190/geo2012-0026.1.
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Event picking is used in many steps of seismic processing. We present an automatic event picking method that is based on a new attribute of seismic signals, instantaneous traveltime. The calculation of the instantaneous traveltime consists of two separate but interrelated stages. First, a trace is mapped onto the time-frequency domain. Then the time-frequency representation is mapped back onto the time domain by an appropriate operation. The computed instantaneous traveltime equals the recording time at those instances at which there is a seismic event, a feature that is used to pick the events. We analyzed the concept of the instantaneous traveltime and demonstrated the application of our automatic picking method on dynamite and Vibroseis field data.
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Liu, Xingye, Xiaohong Chen, Min Bai, and Yangkang Chen. "Time-lapse image registration by high-resolution time-shift scan." GEOPHYSICS 86, no. 3 (2021): M49—M58. http://dx.doi.org/10.1190/geo2020-0459.1.
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Seismic image registration is crucial for the joint interpretation of multivintage seismic images in time-lapse reservoir monitoring. Time-shift analysis is a commonly used method to estimate the warping function by creating a time-shift map, where the energy of each time-shift point in the 3D map indicates the probability of a correct registration. We have adopted a new method to obtain a high-resolution time-shift analysis spectrum, which can help with manual and automatic picking. The time-shift scan map is obtained by trying different local shifts and calculating the local similarity attributes between the shifted and reference images. We adopt a high-resolution calculation of the time-shift scan map by applying the nonstationary model constraint in solving the local similarity attributes. The nonstationary model constraint ensures the time-shift scan map to be smooth in all physical dimensions, for example, time, local shift, and space. In addition, it permits variable smoothing strength across the whole volume, which enables the high resolution of the calculated time-shift scan map. We use an automatic-picking algorithm to demonstrate the accuracy of the high-resolution time-shift scan map and its positive influence on the time-lapse image registration. Synthetic (2D) and real (3D) time-lapse seismic images are used for demonstrating the better registration performance of the proposed method.
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Guo, Jian, Li Zhou, and Jie Zhu. "Stochastic Model and Simulation Research for Random-Storage S-Type Manual Order Picking." Key Engineering Materials 467-469 (February 2011): 92–97. http://dx.doi.org/10.4028/www.scientific.net/kem.467-469.92.
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It researches the service efficient problem of logistics distribution center manual order picking, tour length and then. It builds picker route stochastic model under random storage S-type picking condition. It makes model approximation calculation with simulation result under order random arrival frequencies. It conducts well approximation between model and simulation results under the condition of permission error. It is the foundation for improving storage strategy. And it provides basic foundation for researching of picking time distribution function for manual order picking random service system.
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Shi, Yinggang, Wei Zhang, Zhiwen Li, Yong Wang, Li Liu, and Yongjie Cui. "A “Global–Local” Visual Servo System for Picking Manipulators." Sensors 20, no. 12 (2020): 3366. http://dx.doi.org/10.3390/s20123366.
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During the process of automated crop picking, the two hand–eye coordination operation systems, namely “eye to hand” and “eye in hand” have their respective advantages and disadvantages. It is challenging to simultaneously consider both the operational accuracy and the speed of a manipulator. In response to this problem, this study constructs a “global–local” visual servo picking system based on a prototype of a picking robot to provide a global field of vision (through binocular vision) and carry out the picking operation using the monocular visual servo. Using tomato picking as an example, experiments were conducted to obtain the accuracies of judgment and range of fruit maturity, and the scenario of fruit-bearing was simulated over an area where the operation was ongoing to examine the rate of success of the system in terms of continuous fruit picking. The results show that the global–local visual servo picking system had an average accuracy of correctly judging fruit maturity of 92.8%, average error of fruit distance measurement in the range 0.485 cm, average time for continuous fruit picking of 20.06 s, and average success rate of picking of 92.45%.
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Fang, Xiaoyue, Junjie Song, Kuolin Liu, et al. "A Prior-Information-Based Combination Solution for Picking the Difference of Time-of-Flight in Ultrasound Computed Tomography." Journal of Medical Imaging and Health Informatics 10, no. 3 (2020): 763–68. http://dx.doi.org/10.1166/jmihi.2020.2930.
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Sound speed imaging is one modal of ultrasound computed tomography (USCT) which is helpful for early breast disease diagnosis. One of the most critical processes of sound speed reconstruction is time-of-flight picking. As each of the traditional time-of-flight picking methods has shortcomings for real data, in this study, a practical priorinformation-based combination (PIBC) solution for picking the difference of time-of-flight between the reference data and the object data (DTOF) is proposed to enhance the reconstruction accuracy and uniformity. By using DTOF, some system bias will be effectively alleviated. Firstly, by analyzing the signal-amplitude, the "penetrating-through-the-object" and the "bypassing-the-object" signals are distinguished. Then for the "penetrating-throughthe-object" signals, based on the 'majority rule,' the consistency of DTOF picked by different methods are calculated as a basis to combine the advantages of different picking methods; for the "bypassing-the-object" signals, the DTOF closest to zero is chosen. Finally, the DTOFs are post-processed to suppress the noise by a median filter and to fix the deficiency of the system by an interpolation operator. The new solution is verified by in vitro breast phantom experiment conducted on the home-made USCT system "Lucid." The proposed PIBC solution can quantitatively decrease Root Mean Squared Error (RMSE) and Mean Squared Error (MSE) of DTOF picking and enhance the image quality of reconstructed sound speed images with higher accuracy and uniformity. This work is significant for ray-based sound speed reconstruction and can provide a fine initial solution for high-resolution wave-based reconstruction.
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Lian, Xiang Wei, Dong Liang, and Yan Zhang. "The Design Based on the Hydraulic Control of the Mango Picking Machine." Advanced Materials Research 479-481 (February 2012): 1468–75. http://dx.doi.org/10.4028/www.scientific.net/amr.479-481.1468.
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According to the technical requirements of mango picking, a set of mango picking machine devices is designed. The device applied hydraulic system, controlling transmitting movement and performing related actions. The analysis shows that the system flexible, precise positioning is indeed able to complete the required action. And it also solutes some shortage like picking difficult, a waste of time and strength during the large acreage mango harvest in Hainan and overcome the labor-intensive manual picking and the defect of low efficiency, the effect promotes the mango industry in Hainan and commercial development.
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Chen, Da Qiang. "Genetic Algorithm for Production Order Picking Schedule in an AGV-Based FMS." Applied Mechanics and Materials 20-23 (January 2010): 283–87. http://dx.doi.org/10.4028/www.scientific.net/amm.20-23.283.
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This paper discussed production order picking schedule problem in AGV-based FMS. A general formulation of production order picking schedule mode is suggestion with objective of minimizing the order picking time and the number of AGVs. Based on the analysis that the relationship between our problem and the standard VRP, we design a genetic algorithm (GA) to solve the mode. Computational experiment is conducted and excellent computational results comparison with other method indicates that the genetic algorithm proposed in this paper is suitable for production order picking problem.