Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2021, Cilt: 31 Sayı: 4, 250 - 263, 30.12.2021
https://doi.org/10.32710/tekstilvekonfeksiyon.917671

Öz

Kaynakça

  • Burnak N, Demirtaş EA. 2019. Toplam Kalite Yönetiminde İstatistiksel Süreç Kontrol. Eskisehir: ESOGÜ yayınları.
  • Sharma KD, Srivastava S. 2018. Failure mode and effect analysis (FMEA) implementation: a literature review Journal of Advanced Research in Aeronautics and Space Science 5, 2454-8669.
  • Küçük M, İşler M, Güner M. 2016. An application of the FMEA method to the cutting department of a clothing company Textile and Apparel 26(2), 205-212.
  • Paired E, Swadeshi AH, Shokohyar S. 2017. Analyzing the enhancement of production efficiency using FMEA through simulation-based optimization technique: A case study in apparel manufacturing Cogent Engineering 4(1), 1284373
  • Beyene TD, Gebeyehu SG, Mengistu AT. 2018. Application of Failure Mode Effect Analysis (FMEA) to Reduce Downtime in a Textile Share Company Journal of Engineering, Project, and Production Management, 8(1), 40.
  • Beyene TD, Gebeyehu SG. 2019. Application of failure mode effect analysis (FMEA) for efficient and cost-effective manufacturing: A case study at Bahir Dar textile share company, Ethiopia Journal of Optimization in Industrial Engineering 12(1), 23-29.
  • Tekez EK. 2018. Failure modes and effects analysis using fuzzy topsis in knitting process Textile and Apparel 28(1), 21-26.
  • Mutlu NG, Altuntas S. 2019a. Hazard and risk analysis for ring spinning yarn production process by integrated FTA-FMEA approach Textile and Apparel 29(3), 208-218.
  • Mutlu NG, Altuntas S. 2019b. Risk analysis for occupational safety and health in the textile industry: Integration of FMEA, FTA, and BIFPET methods International Journal of Industrial Ergonomics 72, 222-240.
  • Montgomery DC. 2009. Introduction to Statistical Quality Control, United States of America, New York: John Wiley and Sons.
  • Ertuğrul İ, Özçil A. 2014. The application of 'p' and 'p-CUSUM' charts into textile sector in the statistical quality control process Textile and Apparel 24(1), 9-14.
  • Yıldız TÖ, Vahaplar SŞ. 2015. An application on fancy shirting fabric production through distribution-free quality control charts Textile and Apparel 25(2), 97-103.
  • Yılmaz H, Yanık S. 2020. Design of demerit control charts with fuzzy c-means clustering and an application in textile sector Textile and Apparel 30(2), 117-125.
  • Zaraté P. 2013. Tools for collaborative decision-making. United States of America, New York: John Wiley & Sons.
  • Guo Z, Ngai E, Yang C, Liang X. 2015. An RFID-based intelligent decision support system architecture for production monitoring and scheduling in a distributed manufacturing environment International journal of production economics 159, 16-28.
  • Mete S., Serin F., Oz NE, Gul M. 2019. A decision-support system based on Pythagorean fuzzy VIKOR for occupational risk assessment of a natural gas pipeline construction Journal of Natural Gas Science and Engineering 71, 102979.
  • Febriani RA., Park HS, Lee CM. 2020. A Rule-Based System for Quality Control in Brake Disc Production Lines Applied Sciences 10(18), 6565.
  • Senturk S, Erginel N, Kaya I, Kahraman C. 2014. Fuzzy exponentially weighted moving average control chart for univariate data with a real case application Applied Soft Computing 22, 1-10.
  • Li CI, Pan JN, Huang MH. 2019. A New Demerit Control Chart for Monitoring the Quality of Multivariate Poisson Processes Journal of Applied Statistics 46(4), 680-699.
  • Dodge HF. (1928) A method of rating manufactured product The Bell System Technical Journal 7, 350–368.
  • Rasouli O, Zarei MH. 2016. Monitoring and reducing patient dissatisfaction: A case study of an Iranian public hospital Total Quality Management & Business Excellence 27(5-6), 531-559.
  • Niazmand K., Mirzazadeh A, Rezaie K. 2014. A fuzzy SQFE approach in supplier's performance monitoring International Journal of Production Research 52(22), 6841-6862.
  • Nembhard DA, Nembhard HB. 2000. A Demerits Control Chart for Autocorrelated Data Quality Engineering 13(2), 179-190.
  • Shu MH, Chiu CC, Nguyen TL, Hsu BM. 2014. A demerit-fuzzy rating system, monitoring scheme and classification for manufacturing processes Expert Systems with Applications 41(17), 7878-7888.
  • Ho SL, Xie M, Goh TN. 2003. Process Monitoring Strategies for Surface Mount Manufacturing Processes International Journal of Flexible Manufacturing Systems 15(2), 95-112.
  • Yazıcı K, Gökler SH, Boran S. 2020. An integrated SMED-fuzzy FMEA model for reducing setup time Journal of Intelligent Manufacturing, https://doi.org/10.1007/s10845-020-01675-x
  • Bertsche B. 2008. Reliability in automotive and mechanical engineering: determination of component and system reliability. Berlin Heidelberg: Springer-Verlag.

DSS-Based Process Control and FMEA Studies for Different Processes in the Field of Textile

Yıl 2021, Cilt: 31 Sayı: 4, 250 - 263, 30.12.2021
https://doi.org/10.32710/tekstilvekonfeksiyon.917671

Öz

Today, in many textile firms, high defect rates and inefficiency stand out due to the intensive labor in the production processes. For this reason, to be able to detect failure modes and effects, number of defects and defect rates fast and intervene in the process just in time is vital for textile firms. Accelerating feedback by producing accurate and effective quality reports and helping senior management's decision processes will reduce appraisal costs and delivery time. In this study, Failure Mode and Effect Analysis and Statistical Process Control techniques have been integrated with a Decision Support System for different processes of textile. Thanks to the proposed integrated system in the fast fashion/textile sector, defect and/or failures will be prevented or detected on time by determining the sources of error with an effective database and monitoring system. So, process capability will increase by preventing material, operations and human-induced scraps.

Kaynakça

  • Burnak N, Demirtaş EA. 2019. Toplam Kalite Yönetiminde İstatistiksel Süreç Kontrol. Eskisehir: ESOGÜ yayınları.
  • Sharma KD, Srivastava S. 2018. Failure mode and effect analysis (FMEA) implementation: a literature review Journal of Advanced Research in Aeronautics and Space Science 5, 2454-8669.
  • Küçük M, İşler M, Güner M. 2016. An application of the FMEA method to the cutting department of a clothing company Textile and Apparel 26(2), 205-212.
  • Paired E, Swadeshi AH, Shokohyar S. 2017. Analyzing the enhancement of production efficiency using FMEA through simulation-based optimization technique: A case study in apparel manufacturing Cogent Engineering 4(1), 1284373
  • Beyene TD, Gebeyehu SG, Mengistu AT. 2018. Application of Failure Mode Effect Analysis (FMEA) to Reduce Downtime in a Textile Share Company Journal of Engineering, Project, and Production Management, 8(1), 40.
  • Beyene TD, Gebeyehu SG. 2019. Application of failure mode effect analysis (FMEA) for efficient and cost-effective manufacturing: A case study at Bahir Dar textile share company, Ethiopia Journal of Optimization in Industrial Engineering 12(1), 23-29.
  • Tekez EK. 2018. Failure modes and effects analysis using fuzzy topsis in knitting process Textile and Apparel 28(1), 21-26.
  • Mutlu NG, Altuntas S. 2019a. Hazard and risk analysis for ring spinning yarn production process by integrated FTA-FMEA approach Textile and Apparel 29(3), 208-218.
  • Mutlu NG, Altuntas S. 2019b. Risk analysis for occupational safety and health in the textile industry: Integration of FMEA, FTA, and BIFPET methods International Journal of Industrial Ergonomics 72, 222-240.
  • Montgomery DC. 2009. Introduction to Statistical Quality Control, United States of America, New York: John Wiley and Sons.
  • Ertuğrul İ, Özçil A. 2014. The application of 'p' and 'p-CUSUM' charts into textile sector in the statistical quality control process Textile and Apparel 24(1), 9-14.
  • Yıldız TÖ, Vahaplar SŞ. 2015. An application on fancy shirting fabric production through distribution-free quality control charts Textile and Apparel 25(2), 97-103.
  • Yılmaz H, Yanık S. 2020. Design of demerit control charts with fuzzy c-means clustering and an application in textile sector Textile and Apparel 30(2), 117-125.
  • Zaraté P. 2013. Tools for collaborative decision-making. United States of America, New York: John Wiley & Sons.
  • Guo Z, Ngai E, Yang C, Liang X. 2015. An RFID-based intelligent decision support system architecture for production monitoring and scheduling in a distributed manufacturing environment International journal of production economics 159, 16-28.
  • Mete S., Serin F., Oz NE, Gul M. 2019. A decision-support system based on Pythagorean fuzzy VIKOR for occupational risk assessment of a natural gas pipeline construction Journal of Natural Gas Science and Engineering 71, 102979.
  • Febriani RA., Park HS, Lee CM. 2020. A Rule-Based System for Quality Control in Brake Disc Production Lines Applied Sciences 10(18), 6565.
  • Senturk S, Erginel N, Kaya I, Kahraman C. 2014. Fuzzy exponentially weighted moving average control chart for univariate data with a real case application Applied Soft Computing 22, 1-10.
  • Li CI, Pan JN, Huang MH. 2019. A New Demerit Control Chart for Monitoring the Quality of Multivariate Poisson Processes Journal of Applied Statistics 46(4), 680-699.
  • Dodge HF. (1928) A method of rating manufactured product The Bell System Technical Journal 7, 350–368.
  • Rasouli O, Zarei MH. 2016. Monitoring and reducing patient dissatisfaction: A case study of an Iranian public hospital Total Quality Management & Business Excellence 27(5-6), 531-559.
  • Niazmand K., Mirzazadeh A, Rezaie K. 2014. A fuzzy SQFE approach in supplier's performance monitoring International Journal of Production Research 52(22), 6841-6862.
  • Nembhard DA, Nembhard HB. 2000. A Demerits Control Chart for Autocorrelated Data Quality Engineering 13(2), 179-190.
  • Shu MH, Chiu CC, Nguyen TL, Hsu BM. 2014. A demerit-fuzzy rating system, monitoring scheme and classification for manufacturing processes Expert Systems with Applications 41(17), 7878-7888.
  • Ho SL, Xie M, Goh TN. 2003. Process Monitoring Strategies for Surface Mount Manufacturing Processes International Journal of Flexible Manufacturing Systems 15(2), 95-112.
  • Yazıcı K, Gökler SH, Boran S. 2020. An integrated SMED-fuzzy FMEA model for reducing setup time Journal of Intelligent Manufacturing, https://doi.org/10.1007/s10845-020-01675-x
  • Bertsche B. 2008. Reliability in automotive and mechanical engineering: determination of component and system reliability. Berlin Heidelberg: Springer-Verlag.
Toplam 27 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Giyilebilir Malzemeler
Bölüm Makaleler
Yazarlar

Yeliz Buruk Şahin

Ezgi Aktar Demirtaş

Erken Görünüm Tarihi 30 Aralık 2021
Yayımlanma Tarihi 30 Aralık 2021
Gönderilme Tarihi 16 Nisan 2021
Kabul Tarihi 12 Ekim 2021
Yayımlandığı Sayı Yıl 2021 Cilt: 31 Sayı: 4

Kaynak Göster

APA Buruk Şahin, Y., & Aktar Demirtaş, E. (2021). DSS-Based Process Control and FMEA Studies for Different Processes in the Field of Textile. Textile and Apparel, 31(4), 250-263. https://doi.org/10.32710/tekstilvekonfeksiyon.917671

No part of this journal may be reproduced, stored, transmitted or disseminated in any forms or by any means without prior written permission of the Editorial Board. The views and opinions expressed here in the articles are those of the authors and are not the views of Tekstil ve Konfeksiyon and Textile and Apparel Research-Application Center.