Relevant bibliographies by topics / Picking time

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

Academic literature on the topic 'Picking time'

Author: Grafiati
Published: 29 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Picking time"

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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 (July 2017): 6888–93. http://dx.doi.org/10.1016/j.ifacol.2017.08.1212.

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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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Ma, Yuanyuan, Siyuan Cao, James W. Rector, and Zhishuai Zhang. "Automated arrival-time picking using a pixel-level network." GEOPHYSICS 85, no. 5 (September 1, 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 (February 2, 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 (June 30, 2013): 17–24. http://dx.doi.org/10.11627/jkise.2013.36.2.17.

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Vidovič, Ela, and Brigita Gajšek. "Analysing picking errors in vision picking systems." Logistics & Sustainable Transport 11, no. 1 (February 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 (January 16, 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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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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Dissertations / Theses on the topic "Picking time"

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Lidman, Fredrik, and Johannes Sandgren. "Stadium central warehouse - possibilities to an improved picking process." Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-141680.

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Stadium driver i dagsläget en centrallagerlösning i Norrköping sedan år 2006. Det har skett en stabil ökning av både butiker samt omsättning sedan bolaget startades. Stadium har ett avtal med PostNord angående driften av lagerverksamheten på centrallagret samt Pema angående bemanningen. Bolagets ökning av butiker har lett till att de nått en väldigt hög nivå i beläggning i centrallagret och därför behövdes en genomlysning av centrallagrets plockprocesser ske. Ett beslutsunderlag har tagits fram för att hjälpa Stadiumlagret med sin frekvensläggning av orderplocket. Två olika plockprocesser har jämförts med varandra, Banan och ett plocktorg. Banan är en automatiserad bana där plocklådor med ordrar transporteras längs Banans olika plockzoner, medan plocktorget är en tom yta där pallar med artiklar placeras och sedan plockas. Tidsstudier och observationer genomfördes på både Banan och plocktorget och dess olika steg i processerna, för att se vilken som var mest tidseffektiv. Kriterier och variabler togs fram för att kunna avgöra vad det är som påverkar respektive plockprocess. Beräkningar utformades för att göra Banans och plocktorgets tider jämförbara. Den plockprocess som sedan tog minst tid totalt skulle vara den bästa plockprocessen att plocka i. För att utforma ett beslutsunderlag som enkelt skulle illustrera ifall skor skulle plockas på plocktorget eller Banan, gjorde valet att utforma beslutsunderlaget i en matris. I matrisen illustreras vid vilket antal artiklar en brytpunkt finns där det skulle vara bättre att plocka på plocktorg. För att undersöka ifall centrallagret någon gång kom upp i de kvantiteter som krävdes för att nå brytpunkten användes verkliga exempel. En känslighetsanalys genomfördes där data från verkliga exempel användes och sorterades på olika sätt, för att undersöka om stora skillnader i resultatet i matrisen skulle uppenbaras. Det resulterade i sex olika matriser, tre olika sorteringar för två separata dagar av orderplock. Beslutsunderlagets matris visade att Banan var den mest effektiva plockprocessen att använda i den dagliga verksamheten för orderplocket. Anledningen till det var att Stadiumlagret inte plockade skor i de kvantiteter som brytpunkterna efterfrågade. Oavsett hur datan sorteras så övergick aldrig den totala kvantiteten av orderplock de brytpunkterna som hade beräknats. Det var en av sorteringarna som kom närmre brytpunkten än de andra två, men inte tillräckligt nära för att frekvenslägga orderplocket på plocktroget istället för Banan. Rekommendationen till PostNord blev därför att de inte skulle använda plocktorget till det ordinarie orderplocket i den dagliga verksamheten, på grund av att det är mindre effektivt att plocka på plocktorget. Plocktorget kan dock användas som ett komplement till Banan precis som den används i dagsläget. Tillfällen då plocktorget kan användas är när det exempelvis inte finns tillräckligt antal lediga plockplatser på Banan, om artiklarna är för otympliga för att plocka på Banan eller om antalet pieces av en artikel skulle medföra orimligt många påfyllningar av Banans plockplatser.
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Khachatryan, Margarit. "Small parts high volume order picking systems." Diss., Available online, Georgia Institute of Technology, 2006, 2006. http://etd.gatech.edu/theses/available/etd-11192006-170829/.

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Thesis (Ph. D.)--Industrial and Systems Engineering, Georgia Institute of Technology, 2007.
Paul M. Griffin, Committee Member ; Gunter P. Sharp, Committee Member ; Hayriye Ayhan, Committee Member ; Leon F. McGinnis, Committee Chair ; Soumen Ghosh, Committee Member.
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JUNIOR, ANNIBAL THEOPHILO DA SILVA RODRIGUES. "A SIMULATION MODEL FOR PICKING UP INBOUND CONTAINERS WITH TIME WINDOWS IN A PORT TERMINAL." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2009. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=13448@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
Nesta dissertação aborda-se um problema pouco estudado - o processo de planejamento/programação de saída de contêineres de importação, movimentados por reach stackers. Clientes pré-agendam a retirada de seus contêineres em janelas de tempo de duas horas, sem especificação de horário. Efetua-se a présegregação dos contêineres na noite anterior à da efetiva entrega, com a formação de pilhas por faixa de horário e área buffer para a movimentação. A proposta deste trabalho é identificar e avaliar comparativamente as variáveis de desempenho envolvidas no atendimento de um máximo de 30 contêineres em cada janela de tempo, estruturados em seis pilhas de cinco contêineres de altura cada. São analisadas duas regras de sequenciamento diversas: (a) Primeiro a entrar, primeiro a sair (PEPS) e (b) Tempo de processamento mínimo (SPT) ou Movimentação Mínima (que se confundem neste problema). O modelo é necessariamente de simulação, uma vez que o processo em estudo envolve a movimentação de pilhas de contêineres (formadas aleatoriamente), com acesso por equipamentos stackers (segundo políticas de acesso típicas), e chegada das carretas com ordenamento aleatório, segundo distribuição própria. Com a aplicação do modelo, conclui-se que, num regime de atendimento PEPS, a janela de tempo de duas horas é insuficiente para atender à demanda de 30 (trinta) contêineres em um regime de chegada segundo Poisson. Já no segundo regime de atendimento estudado, com atendimento seletivo de fila de espera segundo critério decisório de movimentação mínima esperada, os resultados foram bastantes mais promissores embora insuficientes ao atendimento das carretas, em média, na janela de tempo disponibilizada e nas condições operacionais oferecidas pela instalação. Cenários outros foram simulados e seus resultados devidamente avaliados.
In this work, the focus is on a rarely studied problem in the technical literature - the inbound containers (importation) process delivery, with reach stackers for moving the containers . In this process, customers schedule their containers withdrawal in one of the several allowable time windows - two hours time, without fixed arrival order. Containers pre-segregation occurs in the night before the effective delivery day. Thirty containers are stacked by time windows in six stacks five containers high and a buffer area allocated for subsidiary movements. The purpose of this work is to identify and to evaluate comparatively the key performance indicators associated with the thirty containers maximum delivery levels in each time window. The model is necessarily a simulation one, because it involves the container stack packing (random), its access and movement by reach stacker equipment (with typical access policies) and the truck arrival for withdrawing the container (also random). Two different sequencing rules are compared - first in, first out (FIFO) and smallest processing time (SPT). Solving the model in a FIFO delivery discipline, the conclusion is that the two hours time window is insufficient to deal with the 30 (thirty) containers delivery in a Poisson process arriving trucks. The second delivery system studied - a decision process applied in the waiting queue (based on selecting the container with the minimal expected unproductive movements), more promising results have been obtained, although insufficient to pick up all the containers. Alternative scenarios were then offered to solve the problem.
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Desai, Sagar S. "For Whom the Time Stops: Picking Up the Pieces in a World of Constant Motion." University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1460731395.

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Boddu, Arathi. "A procedure to evaluate the costs and benefits of managing staffing levels in an order picking operation." Ohio : Ohio University, 2006. http://www.ohiolink.edu/etd/view.cgi?ohiou1155309515.

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Zeru, Berhane, and Ahmed Hamdi. "Artikeloptimering avseende plockfrekvens : Fallstudie om fast och flytande artikelplacering." Thesis, Högskolan i Gävle, Avdelningen för industriell ekonomi, industridesign och maskinteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-36985.

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Detta är en studie av artikelplaceringar på logistikföretaget som är placerade pålagerplatser som inte gynnar artiklarnas omsättning. Lagerplatser som är ogynnsamma avA-klassicerande artiklar har påverkat plockfrekvens negativt. Det har bidragit att ledtidenfrån att hämta en A- artikel tar längre tid än att hämta en annan A-artikel med lägreomsättning. Studien identifierar de negativa aspekter som påverkar plockfrekvens och vill bidra medförbättringsförslag för logistikföretaget. Studiens metod skapades genom att samla in datafrån både primär-och sekundärdata. Frågeställning var en del av strukturerad observationoch olika vetenskapliga artiklar relaterade till ämnesområdet samt litteratursökning varen del av primärdata. Studien har resulterat att orsakerna som är ABC-klassificering och Lean har en kopplingtill sambandet mellan artikelplacering och plocktid. Orsakerna som förekommer harbidragit negativ påverkan hos logistikföretaget. Vidare har studien kommit fram till ett resultat genom intervjuer och litteraturteorier därlogistikföretaget förlorar många produktionstimmar kring orsaken. Logistikföretagetbehöver implementera nya åtgärder för förbättring och utveckling. Slutsatsen iundersökningen redovisar vad logistikföretaget ska åtgärda de negativa aspekterna sompåverkar artikelplacering och plocktiden. • Minimera slöseri genom att förkorta gångavståndet. • Omsortera artiklarna. • Kompetensutveckling inom Lean och 5S för att jobba smartare. • Implementera olika standarden som hjälper till att förnya arbetssätt ochutveckling. • Upprätthålla ordning och reda genom att identifiera artiklar som behöverplaceras om och leverantörer. • Utöva mer av parametrar (försäljning, uttag och plockfrekvens). • Effektivisera lagerhanteringssystem (in-och utleveranser, plock, lagerplatser). Arbetet avgränsas till en del av artikeloptimering inom logistik och placering av Aklassificerade artiklar samt påverkan i plockfrekvensen. COVID-19 har varit understudiens tid ett hinder som begränsade studiens författare vistelse hos logistikföretaget.
The purpose of the survey is to investigate article placements at the logistics companythat are unproductively located. Unproductive places of A-classing articles have had anegative effect on picking frequency, which has contributed to the lead time to retrieveone A-article taking longer than retrieving another A-article with lower turnover. The purpose of the survey is to identify the negative aspects that affect the pickingfrequency in order to provide the logistics company with information about the aspectsthat indicate improvement. The method survey was created by collecting data throughboth primary and secondary data. Structured observation and questioning were part of a semi-structured interview andvarious scientific articles related to the subject area as well as literature search were partof secondary data. The investigation has resulted in the current reasons behind theconnection between article placement and picking time having been negatively affectedby the logistics company. Furthermore, research has come to a result where the logistics company loses manyproduction hours around the cause that need to implement new measures for improvementand development. The conclusion of the survey reports that the logistics company shouldaddress the negative aspects that affect item placement and picking time. • Minimize waste by shortening the walking distance. • Rearrange the items. • Skills development within Lean and 5S to work smarter. • Maintain order by identifying items that need to be repositioned and suppliers. • Exercise more parameters (sales, withdrawals and picking frequency). • Streamline inventory managementsystems (inbound and outbound deliveries,picks, warehouse locations). The work was limited to part of article optimization in logistics and placement of Aclassified articles and the impact on the picking frequency. During the study, COVID-19 has been an obstacle that limited the study's authors to stay longer with the logisticscompany.
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Vu, Thanh-Hai [Verfasser], and Jens Nobert [Akademischer Betreuer] Wünsche. "The effect of picking time and postharvest treatments on fruit quality of mango (Mangifera indica L.) / Vu Thanh Hai. Betreuer: Jens Nobert Wünsche." Hohenheim : Kommunikations-, Informations- und Medienzentrum der Universität Hohenheim, 2012. http://d-nb.info/102856712X/34.

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Kuang, Peiying, and Mahmood Ali. "E-Grocery in Digital Age : ICA MAXI in Gävle." Thesis, Högskolan i Gävle, Avdelningen för ekonomi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-17689.

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Aim: The purpose of this study is to identify factors that can attract customers to buy online and help the grocers to improve their online grocery services to retain and obtain customers. Design/Methodology/Approach: A qualitative method was used, based on triangulation methodology including observation and interviews of manager and employees. Quantitative data was collected by handing out questionnaire to 204 potential customers and 30 existing customers. Findings: The study shows that product and service quality, time saving and convenience, web page layout, customers’ trust in grocers (service providers), store image and advertising are the important factors that customers consider when they decide to use online grocer service. E- grocers also need to consider these factors when they start online grocery service. Suggestions for Future Research: An extensive study with large population sample and co- operation from other companies can help to generalize the results. Future studies can be extended to include drive-in and shared reception box service method, and consider the cost for the customers in e-grocery sector.
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Gilliland, Ellen. "An Assessment of Hypocenter Errors Associated with the Seismic Monitoring of Induced Hydro-fracturing in Hydrocarbon Reservoirs." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/45325.

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Expanding the standard, single-well recording geometry used to monitor seismicity during hydro-fracture treatments could provide more accurate hypocenter locations and seismic velocities, improving general reservoir characterization. However, for the real, two-well data set obtained for this project, only S-wave picks were available, and testing resulted in anomalous hypocenter location behavior. This study uses a hypocenter location algorithm and both real and synthetic data sets to investigate how the accuracy of the velocity model, starting hypocenter location, recording geometry, and arrival-time picking error affect final hypocenter locations. Hypocenter locations improved using a velocity model that closely matched the observed sonic log rather than a smoothed version of this model. The starting hypocenter location did not affect the final location solution if both starting and final locations were between the wells. Two solutions were possible when the true solution was not directly between the wells. Adding realistic random picking errors to synthetic data closely modeled the dispersed hypocenter error pattern observed in the real data results. Adding data from a third well to synthetic tests dramatically reduced location error and removed horizontal geometric bias observed in the two-well case. Seismic event data recorded during hydro-fracture treatments could potentially be used for three-dimensional joint hypocenter-velocity tomography. This would require observation wells close enough to earthquakes to record P- and S-wave arrivals or wells at orientations sufficient to properly triangulate hypocenter locations. Simulating results with synthetic tests before drilling could optimize survey design to collect data more effectively and make analysis more useful.
Master of Science
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Lidner, Beatrice, and Emilia Grenstadius. "Optimeringsmetod för färdigvarulager : En fallstudie hos Emballator Växjöplast." Thesis, Linnéuniversitetet, Institutionen för ekonomistyrning och logistik (ELO), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-76400.

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Uppsatsen undersöker hur Emballator Växjöplast prioriterar och resonerar kring aspekterna volymutnyttjande, plocktid, säkerhet, kapitalbindning och servicenivå vid optimering av deras färdigvarulager. Författarna kom fram till följande slutsats: Fallföretaget prioriterar säkerhet högst för att skydda individen Servicenivå prioriteras efter säkerhet då de arbetar kundfokuserat. Efter servicenivå prioriteras volymutnyttjande för att minska sin externlagring. Plocktid prioriteras efter volymutnyttjande där målsättningen är att undvika nyanställningar. Sist prioriteras kapitalbindning då denna inte är fokus för logistikfunktionen.   Vidare undersöker författarna hur en multi-criteria optimization av aspekterna vid optimering av färdigvarulagret kan gå till. Författarna kommer fram till följande slutsatser: The main criteria method är bäst lämpad optimeringsmetod. Volymutnyttjande ska minimeras givet att resterande aspekter uppfyller respektive bivillkor. De flesta förvaringsmetoder och artikelplaceringar uppfyller aspekternas bivillkor Bäst lämpad förvaringsmetod och artikelplacering grundas därför på vilken som möjliggör bäst volymutnyttjande. Slutligen utvärderas Emballator Växjöplasts nuvarande färdigvarulager sett till aspekterna utifrån analysen för frågeställning 2. Här presenteras även kortsiktiga och långsiktiga förbättringsförslag. Författarna kom fram till följande slutsats: Deras nuvarande förpackning, förvaringsmetod samt artikelplacering tillgodoser respektive bivillkor men kan förbättras sett till the main criteria, volymutnyttjande. Ett kortsiktigt förbättringsförslag genom att utföra en liknande artikelplacering på bättre sätt kan upp till 38-57 fler pallar rymmas på färdigvarulagret. Ett långsiktigt förbättringsförslag genom att kombinera traditionella pallställage och drive-through eller push-back-hyllor, kan totala antal pallplatser på färdigvarulagret öka med 18,4 %.
The essay examines how Emballator Växjöplast prioritize and reason among the aspects safety, service level, utilization rate, order picking time and capital tied up in inventory when optimizing their finished goods warehouse. The authors came to the following conclusion: Firstly, they prioritize safety the highest to protect the individuals within the warehouse. Service level is prioritized secondly because they operate with a customer focus. After service level utilization rate is prioritized to lower their need for external storage. Order picking time is prioritized after utilization rate with the goal to avoid the need for employing more operators within the warehouse. Lastly capital tied up in inventory is prioritized because the aspect is not in focus for the logistics department.   Moreover, the authors investigate how multi-criteria optimization as an optimization method can be used when optimizing a finished goods warehouse considering several contradictive aspects and the conclusion is: The main criteria method is best suited in optimization method. Utilization rate is the main criteria and the other aspects are constraints. The majority of storage systems and storage assignment policy are within the constraints. The best storage systems and storage assignment policy is therefore mainly determined by the main criteria.   Lastly a discussion regarding the finished goods warehouse is held and both short term and long term improvements regarding the aspects are presented. The conclusions made by the authors are as follows: Their current packaging, storage systems and storage assignment policy is sufficient in terms of the different constraints but the main criteria can be improved. Short term improvements are to use a similar storage assignment policy in a better way and enable room for 38-57 more pallets in the finished goods warehouse. Long term improvements are to improve both storage assignment policy and the storage system. By combining traditional racks with some other storage system such as drive-through or push-back-shelves the number of pallets that can fit within the warehouse can increase by 18,4%.
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Books on the topic "Picking time"

1

Sargent, Dave. Berry picking time. Prairie Grove, AR: Ozark Pub., 2004.

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Ray, Deborah Kogan, 1940- ill., ed. Apple picking time. New York: Crown, 1994.

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ill, Harvill Kitty 1958, ed. Up, up, up!: It's apple-picking time. New York: Holiday House, 2003.

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Wilding, Valerie. Picking People's Pockets. London, UK: Egmont, 2008.

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Banjo camp!: Learning, picking & jamming with bluegrass & old-time greats. New York: Lark Books, 2008.

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Moon signs: Picking the right time for everything you want to do. New York: Sterling Pub. Co., 1999.

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Sabean, John W., and Tom Mohr. Time present and time past: A pictorial history of Pickering. [Pickering, Ont.]: Altona Editions, 2000.

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APPLE PICKING TIME. Trumpet, 1995.

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Slawson, Michele. Apple Picking Time. Tandem Library, 1999.

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McKee, Glenn. Picking time: [poems]. White Wave, 1994.

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Book chapters on the topic "Picking time"

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Watanabe, Keita, Kei Sugawara, Shota Matsuda, and Michiaki Yasumura. "Time-Oriented Interface Design: Picking the Right Time and Method for Information Presentation." In Human-Computer Interaction. New Trends, 752–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02574-7_84.

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Martínez, Antonio B., and Vicenç Llario. "Real Time Holes Location. A Step Forward in Bin Picking Tasks." In Sensor Devices and Systems for Robotics, 167–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74567-6_13.

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Đukić, Goran, Tihomir Opetuk, and Brigita Gajšek. "Space, Time and Ergonomic Assessment of Order Picking Using Horizontal Carousel." In Advances in Intelligent Systems and Computing, 73–83. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66937-9_9.

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Mandar, El Mehdi, Wafaa Dachry, and Bahloul Bensassi. "Toward a Real-Time Picking Errors Prevention System Based on RFID Technology." In Advances on Smart and Soft Computing, 303–18. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6048-4_27.

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Zou, Haixin, Xiangjun Zou, Yinle Chen, Yan Chen, Quan Sun, Hongjun Wang, and Tianhu Liu. "Real-Time Simulation System of Virtual Picking Manipulator Based on Parametric Design." In Intelligent Robotics and Applications, 1205–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10817-4_119.

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Böckenkamp, Adrian, Frank Weichert, and Christian Prasse. "A Robust, Real-Time Capable Framework for Fully Automated Order Picking of Pouch-Parceled Goods." In Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, 78–102. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56991-8_8.

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Duda, Jerzy, and Adam Stawowy. "A VNS Approach for Batch Sequencing and Route Planning in Manual Picking System with Time Windows." In Variable Neighborhood Search, 167–77. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44932-2_12.

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Houpt, Jeffrey L., Roderick W. Gilkey, and Susan H. Ehringhaus. "A Final Word to Applicants and Search Committees: Picking the Right People for Leadership Roles the First Time." In Learning to Lead in the Academic Medical Center, 131–42. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21260-9_15.

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Ruzayqat, Mohammed, Valentine Obi, and Bernd Noche. "A Mathematical Dynamic Fuzzy Logic to Estimate the Average Throughput Time for a New Automated Full-Case Picking System." In Dynamics in Logistics, 91–100. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23512-7_9.

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Dmytrów, Krzysztof. "Comparison of the Order-Picking Route and Time Obtained by Using the TMAL Method with Results of Selected Take-Out Strategies." In Problems, Methods and Tools in Experimental and Behavioral Economics, 261–72. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99187-0_19.

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Conference papers on the topic "Picking time"

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W. Musser, J., and D. King. "Improvements in time picking for statics." In 54th EAEG Meeting. European Association of Geoscientists & Engineers, 1992. http://dx.doi.org/10.3997/2214-4609.201410619.

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Abakumov, Ivan, and Serge Shapiro. "Arrival-time picking error of microseismic events." In SEG Technical Program Expanded Abstracts 2019. Society of Exploration Geophysicists, 2019. http://dx.doi.org/10.1190/segam2019-3216192.1.

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Lin, C.-H., C. Lin, and C. Hu. "Applying Time-frequency Analysis in Borehole Seismic Travel-time Picking." In Near Surface Geoscience 2014 - 20th European Meeting of Environmental and Engineering Geophysics. Netherlands: EAGE Publications BV, 2014. http://dx.doi.org/10.3997/2214-4609.20142031.

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Zhang, Jianxing, Qin Yang, Xianhai Meng, and Jigang Li. "Automatic RMO picking in seismic travel time tomography." In 2014 10th International Conference on Natural Computation (ICNC). IEEE, 2014. http://dx.doi.org/10.1109/icnc.2014.6975997.

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Skogstrøm, Nils Andreas Baumgarten, Anne Igeltjørn, Kjetil Madsen Knudsen, Aissatou Dendembo Diallo, Daria Krivonos, and Frode Eika Sandnes. "A comparison of two smartphone time-picking interfaces." In NordiCHI'18: Nordic Conference on Human-Computer Interaction. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3240167.3240233.

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Saragiotis, Christos, Tariq Alkhalifah, and Sergey Fomel. "Automatic traveltime picking using local time‐frequency maps." In SEG Technical Program Expanded Abstracts 2011. Society of Exploration Geophysicists, 2011. http://dx.doi.org/10.1190/1.3627520.

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Musser, Jack W., Cameron B. Wason, and Vasudhaven Sudhakar. "Using stacked correlations in time picking for statics." In SEG Technical Program Expanded Abstracts 1991. Society of Exploration Geophysicists, 1991. http://dx.doi.org/10.1190/1.1889089.

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Wang, Shengfan, Xin Jiang, Jie Zhao, Xiaoman Wang, Weiguo Zhou, and Yunhui Liu. "Vision Based Picking System for Automatic Express Package Dispatching." In 2019 IEEE International Conference on Real-time Computing and Robotics (RCAR). IEEE, 2019. http://dx.doi.org/10.1109/rcar47638.2019.9044094.

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Khadhraoui, B., H. M. T. Nguyen, and S. Kisra. "Arrival-time Picking and Slowness Estimate on Sonic Data." In 79th EAGE Conference and Exhibition 2017. Netherlands: EAGE Publications BV, 2017. http://dx.doi.org/10.3997/2214-4609.201701093.

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Lin, Chun-Hung, Chih-Ping Lin, and Cheng-Hung Hu. "Semi-automation of Borehole Seismic Travel-time Picking by Time-Frequency Analysis." In Near Surface Geophysics Asia Pacific Conference, Beijing, China 17-19 July 2013. Society of Exploration Geophysicists, Australian Society of Exploration Geophysicists, Chinese Geophysical Society, Korean Society of Earth and Exploration Geophysicists, and Society of Exploration Geophysicists of Japan, 2013. http://dx.doi.org/10.1190/nsgapc2013-025.

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Reports on the topic "Picking time"

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Roussel-Dupre, R., E. Symbalisty, C. Fox, and O. and Vanderlinde. Alignment of leading-edge and peak-picking time of arrival methods to obtain accurate source locations. Office of Scientific and Technical Information (OSTI), August 2009. http://dx.doi.org/10.2172/966987.

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