Time reduction of mudmee silk yarn manufacturing in the Khon-Mee process at the community level in Thailand

Main Article Content

Thidathip Haanchumpol
Chatchai Sermpongpan
Vachirawich Jaiprasit
Pongsatorn Phiboonsiri
Nithikorn Talumpuk

Abstract

This research is aimed to reduce the average time spent on solving the delay in the Khon-Mee process that causes the delivery of silk yarn to customers to take longer than planned. The cause is broken yarn during manufacturing and the inability to stop the Khon-Mee machine immediately. The researcher created the broken yarn detector device, a new device at the community level; when detecting broken yarn, the light was turned on to show the Khon-Mee process status was stopped. Then the operator connected the silk yarn to continue to run the machine until finished. The results showed the average time spent on solving that problem decreased from 132.90 minutes to 67.85 minutes, and the time savings achieved as 65.05 minutes accounted for 48.95%. Maximum weekly productivity increased from 216 sets to 360 sets, and the productivity was accreted as 144 sets accounted for 66.67%. Consequently, the sufficient silk yarn for the required customer is 250 sets per week.

Article Details

How to Cite
Haanchumpol, T., Sermpongpan, C., Jaiprasit, V., Phiboonsiri, P., & Talumpuk, N. (2023). Time reduction of mudmee silk yarn manufacturing in the Khon-Mee process at the community level in Thailand. Engineering and Applied Science Research, 50(4), 359–371. Retrieved from https://ph01.tci-thaijo.org/index.php/easr/article/view/251111
Section
ORIGINAL RESEARCH
Author Biographies

Thidathip Haanchumpol, Department of Engineering, Faculty of Engineering and Industrial Technology, Bansomdejchaopraya Rajabhat University, Bangkok 10600, Thailand

 

 

 

Chatchai Sermpongpan, Department of Electrical and Computer Engineering, Faculty of Engineering, King Mongkut's University of Technology North Bangkok, Bangkok 10800, Thailand

 

 

Vachirawich Jaiprasit, Department of Engineering, Faculty of Engineering and Industrial Technology, Bansomdejchaopraya Rajabhat University, Bangkok 10600, Thailand

 

 

Pongsatorn Phiboonsiri, Department of Engineering, Faculty of Engineering and Industrial Technology, Bansomdejchaopraya Rajabhat University, Bangkok 10600, Thailand

 

 

Nithikorn Talumpuk, Department of Engineering, Faculty of Engineering and Industrial Technology, Bansomdejchaopraya Rajabhat University, Bangkok 10600, Thailand

 

 

References

Joshua Project. Lao Phuan in Laos [Internet]. Colorado Springs: A ministry of frontier ventures; 2021 [cited 2022 Jan 31]. Available from: https://joshuaproject.net/people_groups/14379/LA.

Tekhanmag K. Process of weaving learning and transmitting of mudmee weaving wisdom of Tai-Puan Wiseman Ban Hinpak Banmee District Lopburi Province. Research report. Bangkok: The office of National Culture Commission, Ministry of Culture; 2011. (In Thai)

Sukonthamanee P. The fun story of weaving mudmee silk. Bangkok: Silpakorn University; 2008. (In Thai)

Thummakorn K. Khon-Mee..do the weft yarn [Internet]. Ubon Ratchathani: Local Information and Archives Section; 2010 [cited 2021 Jan 31]. Available from: http://www.esanpedia.oar.ubu.ac.th/sompornrat/?page_id=160. (In Thai)

Boonchoo S, Rakpong N. Wisdom of Isan indigenous Thai silk yarn [Internet]. Ministry of Agriculture and Cooperatives: The Queen Sirikit Department of Sericulture; 2012 [cited 2021 Jan 31]. Available from: https://qsds.go.th/wp-content/uploads/2017/pdf/2013-07-25-Wisdom_of_indigenous_Thai_Silk_Yarn.pdf. (In Thai)

Boonsom W. A comparison of symbolic textile patterns among the Lao Phuan in Chieng Kwang, Lao people’s democratic republic; the Thai Phuan in Ban Mi, Lopburi Province; and the Thai Phuan in Hat Siao, Sukhothai Province, Thailand. J Mekong Soc. 2017;13(1):171-87. (In Thai)

Noramas P. Mudmee silk of Thai Phuan conserving Thai Fabrics at Ban Mi, Lopburi [Internet]. 2019 [cited 2021 Jan 10]. Available from: https://www.technologychaoban.com/thai-local-wisdom/article_98616. (In Thai)

Haanchumpol T, Jaiprasit V, Phiboonsiri P, Talumpuk N, Sermpongpan C. The broken yarn detector in the Khon-Mee process (TH Petty Patent No. 17766) [Internet]. Nonthaburi: Department of Intellectual Property Ministry of Commerce; 2021 [cited 2021 Jan 10]. Available from: https://patentpub.ipthailand.go.th/_AppPublic/PublicAttach.aspx?appno=2003001929. (In Thai)

Rithinyo M. Set of yarn Khon-Mee (TH Petty Patent No. 10112) [Internet]. Nonthaburi: Department of Intellectual Property Ministry of Commerce; 2015 [cited 2021 Jan 10]. Available from: https://patentpub.ipthailand.go.th/_AppPublic/Public Attach.aspx?appno=1503000197. (In Thai)

Rithinyo M. Nithikarnjanatharn J. Set of yarn Khon-Mee (TH Petty Patent No. 11050) [Internet]. Nonthaburi: Department of Intellectual Property Ministry of Commerce; 2016 [cited 2021 Jan 10]. Available from: https://patentpub.ipthailand.go.th/_ AppPublic/PublicAttach.aspx?appno=1503000589. (In Thai)

Taysongnoen K, Rithinyo M, Nithikarnjanatharn J, Mayai A. Set of yarn Khon-Mee (TH Petty Patent No. 13026) [Internet]. Nonthaburi: Department of Intellectual Property Ministry of Commerce; 2017 [cited 2021 Jan 10]. Available from: https://patentpub.ipthailand.go.th/_AppPublic/PublicAttach.aspx?appno=1603000785. (In Thai)

Srikraiwat W, Boonmeejew S, Popon S, Baiya M, Khampor A. Mudmee Khon-Cotton machine (TH Petty Patent No. 13592) [Internet]. Nonthaburi: Department of Intellectual Property Ministry of Commerce; 2018 [cited 2021 Jan 10]. Available from: https://patentpub.ipthailand.go.th/_AppPublic/PublicAttach.aspx?appno=1603000489. (In Thai)

Bunon C, Prajaksood T, Rithinyo M, Nithikarnjanatharn J, Homjabok W, Mayai A. Research and development the machine to prepare silk for Mud Mee. Research report. Thailand: Rajamangala University of Technology Isan; 2015. (In Thai)

Wibulcharoen W, Sooknuan T, Kampeephat S, Thamma M. Speed control system for bears machine. ECTI Trans Appl Res Dev. 2021;1(3):245111. (In Thai)

Chaodorn K, Pimsalee T, Phoomphan N. A development of an automatic handmade mudmee cotton machine. Vocat Educ Innov Res J. 2020;4(1):10-6. (In Thai)

Raman RS, Basavaraj Y. Quality improvement of capacitors through Fishbone and Pareto techniques. Int J Recent Technol Eng. 2019;8(2):2248-52.

Kongprasert N. Why Why analysis [Internet]. 2019 [cited 2021 Jan 10]. Available from: http://qd.swu.ac.th/Portals/2077/Why %20Why%20Anlysis.pdf?ver=2562-05-24-082545-380. (In Thai)

Paliwanit N. Knowledge of fabrics and fibers. Bangkok: SE-EDUCATION Public Company Limited; 2013. (In Thai)

Omron Electronics LLC. E6C3-C Incremental rotary encoders datasheet [Internet]. 2015 [cited 2021 Jan 10]. Available from: https://assets.omron.eu/downloads/datasheet/en/v3/e6c3-c_rugged_incremental_rotary_encoder_datasheet_en.pdf.

Texas Instruments. µA7800 Fixed positive voltage datasheet [Internet]. 2015 [cited 2021 Jan 10]. Available from: https://www.ti.com/lit/ds/slvs056p/slvs056p.pdf?ts=1652717260504.

Texas Instruments. Multipoint RS485/RS422 transceivers: DS3695A/DS3695AT/DS3696A datasheet [Internet]. 2013 [cited 2021 Jan 10]. Available from: https://www.ti.com/lit/ds/symlink/ds3695a.pdf?ts=1652717118977.

Arduino. Microcontroller Board-Uno R3 datasheet (SKU: A000066) [Internet]. 2022 [cited 2022 Jan 31]. Available from: https://docs.arduino.cc/resources/datasheets/A000066-datasheet.pdf.

JMP Statistical Discovery LLC. Statistics knowledge portal: a free online introduction to statistics [Internet]. 2022 [cited 2022 Jan 31]. Available from: https://www.jmp.com/en_ch/statistics-knowledge-portal/t-test/two-sample-t-test.html.

Montgomery DC, Runger GC. Applied statistics and probability for engineers. 5th ed. New York: John Wiley and Sons Inc; 2003.

Vanichbuncha K. Using SPSS for windows to analyze data. 6th ed. Bangkok: Chula Book Center; 2003. (In Thai)

Sudasna-na-Ayudthya P, Luangpaiboon P. Engineering statistics. 3rd ed. Bangkok: Top Publishing; 2011. (In Thai)

Shapiro SS, Wilk MB. An analysis of variance test for normality (complete samples). Biometrika. 1965;52(3/4):591-611.

Choueiry, G. How to report the Shapiro-Wilk test [Internet]. 2022 [cited 2022 Jan 31]. Available from: https://quantifyinghealth.com/report-shapiro-wilk-test/.

D’Agostino RB. An omnibus test of normality for moderate and large size samples. Biometrika. 1971;58(2):341-8.