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Title:Analiza napak pri komisioniranju na primeru uporabe naglavnih prikazovalnikov
Authors:Vidovič, Ela (Author)
Gajšek, Brigita (Mentor) More about this mentor... New window
Files:.pdf UN_Vidovic_Ela_2019.pdf (976,74 KB)
MD5: 7D626FF767BA16E9B8E5C6A81DA4D427
 
Language:Slovenian
Work type:Bachelor thesis/paper (mb11)
Organization:FL - Faculty of Logistic
Abstract:Iz analize dosedanjih študij in izvedbe lastne ugotavljamo aplikativnost naglavnih prikazovalnikov (v nadaljevanju HMD), kot alternative drugim metodam, za preprečevanje napak v procesu komisioniranja. Rezultati analize kažejo, da je za preprečevanje napak v komisioniranju uporaba »pick-by-vision« sistema bolj učinkovita od sistemov, kot so »pick-by-paper«, »pick-by-voice«, in »cart mounted display« tehnologije. Primerjava s »pick-by-light« je doprinesla manj jasne rezultate, je pa raziskava, ki je sistem HMD označila kot bolj ugoden, razliko označila kot statistično značilno. Opažamo, da uporabniki s sistemi HMD naredijo sicer več napak, kot če uporabljajo druge sisteme, vendar sistem velik del teh napak zazna in so takoj odpravljene. Napak, ki potujejo v naslednje faze, je v primerjavi z drugimi načini najmanj. Dejstvo je pomenljivo, saj tudi zaznane napake vplivajo na produktivnost in motivacijo komisionarja. Zaznane napake v naši študiji so kljub takojšni odpravi imele zaradi podvajanja dela močnejši takojšni učinek na produktivnost uporabnika. Najpogostejše napake v dosedanjih študijah so izbor napačnega izdelka, napačna količina ter izpuščen delovni nalog. Redkeje se pojavljajo napake v postopku dela. Naša študija je vključevala nekoliko bolj zaprt sistem, ki mnogih napak ni dopuščal. Zato sta najpogostejši napaki odlaganje izdelka na napačno lokacijo ter premik napačnega izdelka. Posledica napak, ki so bile odpravljene še med delom, je predvsem podaljšan čas komisioniranja. Nezaznane napake pa bi v resničnih aplikacijah sistema HMD pustile ostrejše posledice. Pri našem eksperimentu so zaradi metode dela nekatere posledice tudi nezaznanih napak razvidne kmalu po nastanku. Ker odlaganje izdelkov ni potekalo z uporabo vozičkov za odlaganje, temveč smo izdelke med delom le premikali iz ene pozicije na skladiščnem regalu na drugo, je bilo v primeru napake to mogoče zaznati že ob naslednjem premiku istega izdelka. Do 99 % vseh napak so komisionirni sistemi zaznali še tekom dela in tako niso potovale v nadaljnje faze dela. Vsaka nezaznana napaka je tekom našega eksperimenta negativne posledice pustila v povprečju na še dodatnih 1,8 opravilnih vrsticah delovnega naloga. V nasprotju s pričakovanji iz pridobljenih rezultatov ni mogoče sklepati, da število napak pada s časom in izkušnjami pri delu. Prav tako ni bilo mogoče dokazati, da bi bili sistemi, ki uporabljajo sledenje, bolj učinkoviti za preprečevanje napak kot sistemi brez sledenja.
Keywords:komisioniranje, napake, HMD, pametna očala, pick-by-vision, skladiščenje
Year of publishing:2019
Publisher:[E. Vidovič]
Source:Celje
UDC:658.7
COBISS_ID:513057341 New window
NUK URN:URN:SI:UM:DK:SEXWINX4
Views:355
Downloads:45
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Categories:FL
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:30.08.2019

Secondary language

Language:English
Title:Analysis picking errors when using head mounted displays
Abstract:We explore the impacts of applying a vision-based picking system, based upon the application of head-mounted displays (HMD), to order picking processes, as a means of eliminating errors. The evaluation in based upon the implementation of our experiment as well as an in-depth analysis of previous works done on this topic. Our results show the effectiveness of such systems, when compared to established methods, such as paper-picking, voice-picking and using cart mounted displays. The results are less conclusive, when comparing HMD-based systems to light-based systems. We identify a possible trend of users making mistakes, significantly more frequently while using vision-based order picking in comparison to other methods. However, a vast majority of those are identified by the system and rectified immediately. Error detection is extremely efficient, up to the point that the remaining error frequency surpasses other prevention-based attempts. This characteristic is neither insignificant nor without implications for the efficiency of the work as well as motivation of the worker. Previous studies on the topic identified the most frequent errors as: mispick, wrong quantity and omission error. Less common were different procedural errors. However, as the setup of our experiment differs greatly, many error types were not possible to make. That is why our experiment identified condition error as the dominant error type. Tough the consequences for detected errors are mostly seen in the time lost, the impacts of undetected errors can be much more severe in real life application. That notwithstanding, our experimental design was modified in a way, that allowed for continuous work over a period of four hours. This meant, that a more immediate observation of the impacts of undetected errors, was possible. In this way we observed 60 tasks, that were affected by a total of 33 undetected errors. On average each one added additional 6.77 second to the total completion time. I contrast to with our expectation, we were unable to conclude, that the frequency of errors falls in conjunction with time and the gained experience. Additionally, we were unable to show any significant difference in error rates when using an AR-enriched picking system as opposed to the simpler vision-picking system.
Keywords:Order picking, error prevention, HMD, smart glasses, pick-by-vision, warehousing


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