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Optimizing Sewing Line Balancing in Apparel Manufacturing through Digitalization

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28. Mai 2025

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Bheda R, Narag AS, Singla ML. Apparel manufacturing: A strategy for productivity improvement. Journal of Fashion Marketing and Management. 2003;7(1):12–22. Available from: https://doi.org/10.1108/13612020310464331 BhedaR NaragAS SinglaML Apparel manufacturing: A strategy for productivity improvement Journal of Fashion Marketing and Management 2003 7 1 12 22 Available from: https://doi.org/10.1108/13612020310464331 Search in Google Scholar

Chen JC, Chen C, Yuan C, et al. Assembly line balancing problem of sewing lines in garment industry. In: International Conference on Industrial Engineering and Operations Management; 2014; Bali, Indonesia. Elsevier; p. 1215–25. Available from: https://doi.org/10.1016/j.eswa.2012.02.055 ChenJC ChenC YuanC Assembly line balancing problem of sewing lines in garment industry In: International Conference on Industrial Engineering and Operations Management 2014 Bali, Indonesia Elsevier 1215 25 Available from: https://doi.org/10.1016/j.eswa.2012.02.055 Search in Google Scholar

Prakash C. Implementation of lean tools in apparel industry to improve productivity and quality. Current Trends in Fashion Technology & Textile Engineering. 2018;4(1):10–4. Available from: https://doi.org/10.19080/CTFTTE.2018.04.555628 PrakashC Implementation of lean tools in apparel industry to improve productivity and quality Current Trends in Fashion Technology & Textile Engineering 2018 4 1 10 4 Available from: https://doi.org/10.19080/CTFTTE.2018.04.555628 Search in Google Scholar

Sit, S K H., & Lee, C. (2023, September 1). Design of a Digital Twin in Low-Volume, High-Mix Job Allocation and Scheduling for Achieving Mass Personalization. Multidisciplinary Digital Publishing Institute, 11(9), 454–454. https://doi.org/10.3390/systems11090454 SitS K H. LeeC. 2023 September 1 Design of a Digital Twin in Low-Volume, High-Mix Job Allocation and Scheduling for Achieving Mass Personalization Multidisciplinary Digital Publishing Institute 11 9 454 454 https://doi.org/10.3390/systems11090454 Search in Google Scholar

Abdulatif, N., Yasser, S., Fahim, I S., Emad, Y., Saleh, A., & Kassem, S. (2020, November 8). Decision Support Using Simulation to Improve Productivity: A Case Study. , 14, 1120–1127. AbdulatifN. YasserS. FahimI S. EmadY. SalehA. KassemS. 2020 November 8 Decision Support Using Simulation to Improve Productivity: A Case Study 14 1120 1127 Search in Google Scholar

Tsai, W. (2018, August 9). Green Production Planning and Control for the Textile Industry by Using Mathematical Programming and Industry 4.0 Techniques. Multidisciplinary Digital Publishing Institute, 11(8), 2072–2072. https://doi.org/10.3390/en11082072 TsaiW 2018 August 9 Green Production Planning and Control for the Textile Industry by Using Mathematical Programming and Industry 4.0 Techniques Multidisciplinary Digital Publishing Institute 11 8 2072 2072 https://doi.org/10.3390/en11082072 Search in Google Scholar

Santos, P., Campilho, R., & Silva, F. (2020, July 3). A new concept of full-automated equipment for the manufacture of shirt collars and cuffs. Elsevier BV, 67, 102023–102023. https://doi.org/10.1016/j.rcim.2020.102023 SantosP. CampilhoR. SilvaF. 2020 July 3 A new concept of full-automated equipment for the manufacture of shirt collars and cuffs Elsevier BV 67 102023 102023 https://doi.org/10.1016/j.rcim.2020.102023 Search in Google Scholar

Özcan U, Peker A. Karişik modelli U-tipi montaj hatlarında hat dengeleme ve model sıralama problemleri için yeni bir sezgisel yaklaşım. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi. 2007;22(2):277–86. ÖzcanU PekerA Karişik modelli U-tipi montaj hatlarında hat dengeleme ve model sıralama problemleri için yeni bir sezgisel yaklaşım Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 2007 22 2 277 86 Search in Google Scholar

Delice Y, Kızılkaya Aydoğan E, Özcan U. Stochastic two-sided U-type assembly line balancing: A genetic algorithm approach. International Journal of Production Research. 2016;54(11):3429–51. Available from: https://doi.org/10.1080/00207543.2016.1140918 DeliceY Kızılkaya AydoğanE ÖzcanU Stochastic two-sided U-type assembly line balancing: A genetic algorithm approach International Journal of Production Research 2016 54 11 3429 51 Available from: https://doi.org/10.1080/00207543.2016.1140918 Search in Google Scholar

Chen JC, Chen C, Su LH, et al. Assembly line balancing in garment industry. Expert Systems with Applications. 2012;39(11):10073–81. Available from: https://doi.org/10.1016/j.eswa.2012.02.055 ChenJC ChenC SuLH Assembly line balancing in garment industry Expert Systems with Applications 2012 39 11 10073 81 Available from: https://doi.org/10.1016/j.eswa.2012.02.055 Search in Google Scholar

Khatun MM. Effect of time and motion study on productivity in garment sector. International Journal of Scientific & Engineering Research. 2014;5(5):825–33. KhatunMM Effect of time and motion study on productivity in garment sector International Journal of Scientific & Engineering Research 2014 5 5 825 33 Search in Google Scholar

Nabi F, Mahmud R, Islam MM. Improving sewing section efficiency through utilization of worker capacity by time study technique. International Journal of Textile Science. 2015;4(1):1–6. Available from: https://doi.org/10.5923/j.textile.20150401.01 NabiF MahmudR IslamMM Improving sewing section efficiency through utilization of worker capacity by time study technique International Journal of Textile Science 2015 4 1 1 6 Available from: https://doi.org/10.5923/j.textile.20150401.01 Search in Google Scholar

Mothilal B, Prakash C. Implementation of lean tools in apparel industry to improve productivity and quality. Current Trends in Fashion Technology & Textile Engineering. 2018;4(1):9–14. MothilalB PrakashC Implementation of lean tools in apparel industry to improve productivity and quality Current Trends in Fashion Technology & Textile Engineering 2018 4 1 9 14 Search in Google Scholar

Kays HM, Prodhan S, Karia N, Karim A, Sharif S. Improvement of operational performance through value stream mapping and Yamazumi chart: A case of Bangladeshi RMG industry. International Journal of Recent Technology and Engineering. 2019;8:11977–86. Available from: https://doi.org/10.35940/ijrte.D9926.118419 KaysHM ProdhanS KariaN KarimA SharifS Improvement of operational performance through value stream mapping and Yamazumi chart: A case of Bangladeshi RMG industry International Journal of Recent Technology and Engineering 2019 8 11977 86 Available from: https://doi.org/10.35940/ijrte.D9926.118419 Search in Google Scholar

Correia D, Gouveia R, Pereira T, Pinto FL. Improving manual assembly lines devoted to complex electronic devices by applying Lean tools. Procedia Manufacturing. 2018;17:663–71. Available from: https://doi.org/10.1016/j.promfg.2018.10.115 CorreiaD GouveiaR PereiraT PintoFL Improving manual assembly lines devoted to complex electronic devices by applying Lean tools Procedia Manufacturing 2018 17 663 71 Available from: https://doi.org/10.1016/j.promfg.2018.10.115 Search in Google Scholar

Eugenia M, Barrientos S, Hinojosa VA, et al. Line balancing in assembly line: A case study. In: Proceedings of the International Conference on Industrial Engineering and Operations Management; 2018; Paris, France. IEOM Society International; p. 2476–86. EugeniaM BarrientosS HinojosaVA Line balancing in assembly line: A case study In: Proceedings of the International Conference on Industrial Engineering and Operations Management 2018 Paris, France IEOM Society International 2476 86 Search in Google Scholar

Wang CC, Liu CT. An empirical study of the machine assembly efficiency improvement based on Lean Six Sigma technique. TEM Journal. 2019;8(2):471–6. Available from: https://doi.org/10.18421/TEM82-21 WangCC LiuCT An empirical study of the machine assembly efficiency improvement based on Lean Six Sigma technique TEM Journal 2019 8 2 471 6 Available from: https://doi.org/10.18421/TEM82-21 Search in Google Scholar

Mridha J, Hasan S, Ahmed F, Shahjalal M. Implementation of Six Sigma to minimize defects in sewing section of apparel industry in Bangladesh. Global Journal of Engineering Science and Researches. 2019;19:11–8. MridhaJ HasanS AhmedF ShahjalalM Implementation of Six Sigma to minimize defects in sewing section of apparel industry in Bangladesh Global Journal of Engineering Science and Researches 2019 19 11 8 Search in Google Scholar

Zieliński J. Analysis of selected organizational systems of sewing teams. Fibres & Textiles in Eastern Europe. 2008;16(4):90–5. ZielińskiJ Analysis of selected organizational systems of sewing teams Fibres & Textiles in Eastern Europe 2008 16 4 90 5 Search in Google Scholar

Rahman MM, Nur F, Talapatra S. An integrated framework of applying line balancing in apparel manufacturing organization: a case study. Journal of Mechanical Engineering. 2015;44(2):117–23. RahmanMM NurF TalapatraS An integrated framework of applying line balancing in apparel manufacturing organization: a case study Journal of Mechanical Engineering 2015 44 2 117 23 Search in Google Scholar

Güner MG, Ünal C. Line balancing in the apparel industry using simulation techniques. Fibres & Textiles in Eastern Europe. 2008;16(2):75–8. GünerMG ÜnalC Line balancing in the apparel industry using simulation techniques Fibres & Textiles in Eastern Europe 2008 16 2 75 8 Search in Google Scholar

Kursun S, Kalaoglu F. Simulation of production line balancing in apparel manufacturing. Fibres & Textiles in Eastern Europe. 2009;17(4):68–71. KursunS KalaogluF Simulation of production line balancing in apparel manufacturing Fibres & Textiles in Eastern Europe 2009 17 4 68 71 Search in Google Scholar

Kayar M, Akalin M. Comparing heuristic and simulation methods applied to the apparel assembly line balancing problem. Fibres & Textiles in Eastern Europe. 2016;24(2):131–7. KayarM AkalinM Comparing heuristic and simulation methods applied to the apparel assembly line balancing problem Fibres & Textiles in Eastern Europe 2016 24 2 131 7 Search in Google Scholar

Eryuruk SH. Clothing assembly line design using simulation and heuristic line balancing techniques. Journal of Textile & Apparel / Tekstil ve Konfeksiyon. 2012;22(4):360–8. EryurukSH Clothing assembly line design using simulation and heuristic line balancing techniques Journal of Textile & Apparel / Tekstil ve Konfeksiyon 2012 22 4 360 8 Search in Google Scholar

Tomar A, Manoria A. Increasing line efficiency with COMSOAL, RPW, and LCR methods of assembly line balancing problem. International Journal of Soft and Hard Research Engineering. 2016;4(1):23–7. TomarA ManoriaA Increasing line efficiency with COMSOAL, RPW, and LCR methods of assembly line balancing problem International Journal of Soft and Hard Research Engineering 2016 4 1 23 7 Search in Google Scholar

Türkmen A, Yesil Y, Kayar M. Heuristic production line balancing problem solution with MATLAB software programming. International Journal of Clothing Science and Technology. 2016;28:750–79. Available from: https://doi.org/10.1108/IJCST-01-2016-0002 TürkmenA YesilY KayarM Heuristic production line balancing problem solution with MATLAB software programming International Journal of Clothing Science and Technology 2016 28 750 79 Available from: https://doi.org/10.1108/IJCST-01-2016-0002 Search in Google Scholar

Jha P, Khan MS. An experimental study on the automotive production line using assembly line balancing techniques. International Journal of Mechanical Engineering and Technology. 2017;8:22–33. JhaP KhanMS An experimental study on the automotive production line using assembly line balancing techniques International Journal of Mechanical Engineering and Technology 2017 8 22 33 Search in Google Scholar

Ghutukade ST, Sawant SM. Use of ranked position weighted method for assembly line balancing. International Journal of Advanced Engineering Research Studies. 2013;2(4):1–3. GhutukadeST SawantSM Use of ranked position weighted method for assembly line balancing International Journal of Advanced Engineering Research Studies 2013 2 4 1 3 Search in Google Scholar

Buchari, Tarigan U, Ambarita M. Production layout improvement by using line balancing and systematic layout planning (SLP) at PT. XYZ. IOP Conference Series: Materials Science and Engineering. 2018;309:012116. Available from: https://doi.org/10.1088/1757-899X/309/1/012116 Buchari TariganU AmbaritaM Production layout improvement by using line balancing and systematic layout planning (SLP) at PT. XYZ IOP Conference Series: Materials Science and Engineering 2018 309 012116 Available from: https://doi.org/10.1088/1757-899X/309/1/012116 Search in Google Scholar

Wang S, Wan J, Zhang D, et al. Towards smart factory for Industry 4.0: a self-organized multi-agent system with big data based feedback and coordination. Computer Networks. 2016;101:41–51. Available from: https://doi.org/10.1016/j.comnet.2015.12.017 WangS WanJ ZhangD Towards smart factory for Industry 4.0: a self-organized multi-agent system with big data based feedback and coordination Computer Networks 2016 101 41 51 Available from: https://doi.org/10.1016/j.comnet.2015.12.017 Search in Google Scholar

Fu X, Zou J, Ju CA. Sewing line planning model based on RFID technology. Journal of Electrical Engineering & Technology. 2020;15:1441–52. Available from: https://doi.org/10.1007/s42835-020-00420-x FuX ZouJ JuCA Sewing line planning model based on RFID technology Journal of Electrical Engineering & Technology 2020 15 1441 52 Available from: https://doi.org/10.1007/s42835-020-00420-x Search in Google Scholar

Olanrewaju O, Ojima OA, Bakhtiyar D. Advancing manufacturing efficiency through real-time production monitoring and control systems. Journal of Engineering Research and Reports. 2024;26(4):184–93. Article no. JERR.115010. ISSN: 2582-2926. OlanrewajuO OjimaOA BakhtiyarD Advancing manufacturing efficiency through real-time production monitoring and control systems Journal of Engineering Research and Reports 2024 26 4 184 93 Article no. JERR.115010. ISSN: 2582-2926. Search in Google Scholar

Von Haartman R, Bengtsson L, Niss C. Lean practices and the adoption of digital technologies in production. International Journal of Services and Operations Management. 2021;40:286–304. Available from: https://doi.org/10.1504/IJSOM.2021.118260 Von HaartmanR BengtssonL NissC Lean practices and the adoption of digital technologies in production International Journal of Services and Operations Management 2021 40 286 304 Available from: https://doi.org/10.1504/IJSOM.2021.118260 Search in Google Scholar

Koç B. Hazır Giyim Dikim İşletmesinde Yalın Üretim ve Sürdürülebilir Yalın Dijital Model Tasarımı (Unpublished PhD thesis). Istanbul Technical University; Faculty of Textile Engineering; 2025. KoçB Hazır Giyim Dikim İşletmesinde Yalın Üretim ve Sürdürülebilir Yalın Dijital Model Tasarımı (Unpublished PhD thesis). Istanbul Technical University; Faculty of Textile Engineering 2025 Search in Google Scholar

Zhang, Y., & Sun, S. (2013, April 1). Real-time data driven monitoring and optimization method for IoT-based sensible production process. , 22, 486–490. https://doi.org/10.1109/icnsc.2013.6548787 ZhangY. SunS. 2013 April 1 Real-time data driven monitoring and optimization method for IoT-based sensible production process 22 486 490 https://doi.org/10.1109/icnsc.2013.6548787 Search in Google Scholar

Mohd J, Abid H, Ravi PS, Rajiv S, Ernesto SG. Understanding the adoption of Industry 4.0 technologies in improving environmental sustainability. Sustainable Operations and Computers. 2022;3:203–17. Available from: https://doi.org/10.1016/j.susoc.2022.01.008 MohdJ AbidH RaviPS RajivS ErnestoSG Understanding the adoption of Industry 4.0 technologies in improving environmental sustainability Sustainable Operations and Computers 2022 3 203 17 Available from: https://doi.org/10.1016/j.susoc.2022.01.008 Search in Google Scholar

Khalil M, Din M, Ali A, Tahir M. Enhancing the productivity and assembly line balancing through takt time implementation. Research Square. 2024. Available from: https://doi.org/10.21203/rs.3.rs-4275556/v1 KhalilM DinM AliA TahirM Enhancing the productivity and assembly line balancing through takt time implementation Research Square 2024 Available from: https://doi.org/10.21203/rs.3.rs-4275556/v1 Search in Google Scholar

Edokpia R, Owu F. Assembly line re-balancing using ranked positional weight technique and longest operating time technique: a comparative analysis. Advanced Materials Research. 2013;824:568–78. Available from: https://doi.org/10.4028/www.scientific.net/AMR.824.568 EdokpiaR OwuF Assembly line re-balancing using ranked positional weight technique and longest operating time technique: a comparative analysis Advanced Materials Research 2013 824 568 78 Available from: https://doi.org/10.4028/www.scientific.net/AMR.824.568 Search in Google Scholar

Can E, Öner A. Analysis and balancing of assembly line in a machine molding factory. International Advanced Researches and Engineering Journal. 2021;5(1):87–96. CanE ÖnerA Analysis and balancing of assembly line in a machine molding factory International Advanced Researches and Engineering Journal 2021 5 1 87 96 Search in Google Scholar

Bongomin O, Mwasiagi J, Oyondi N, et al. Improvement of garment assembly line efficiency using line balancing technique. Engineering Reports. 2020;2:1–22. Available from: https://doi.org/10.1002/eng2.12157 BongominO MwasiagiJ OyondiN Improvement of garment assembly line efficiency using line balancing technique Engineering Reports 2020 2 1 22 Available from: https://doi.org/10.1002/eng2.12157 Search in Google Scholar

Talapatra S, Al-Mahmud S, Kabir I. Overall Efficiency Improvement of a Production Line by Using Yamazumi Chart: A Case Study. Proceedings of the International Conference on Industrial Engineering and Operations Management; 2019; Paris, France. TalapatraS Al-MahmudS KabirI Overall Efficiency Improvement of a Production Line by Using Yamazumi Chart: A Case Study Proceedings of the International Conference on Industrial Engineering and Operations Management 2019 Paris, France Search in Google Scholar

Xiao Y. Effect and Influencing Factors of Digital Transformation of Manufacturing Industry. 2022. Available from: https://doi.org/10.2991/aebmr.k.220405.072 XiaoY Effect and Influencing Factors of Digital Transformation of Manufacturing Industry 2022 Available from: https://doi.org/10.2991/aebmr.k.220405.072 Search in Google Scholar

Casciani D, Chkanikova O, Pal R. Exploring the nature of digital transformation in the fashion industry: opportunities for supply chains, business models, and sustainability-oriented innovations. Sustainability: Science, Practice and Policy. 2022;18(1):773–795. Available from: https://doi.org/10.1080/15487733.2022.2125640 CascianiD ChkanikovaO PalR Exploring the nature of digital transformation in the fashion industry: opportunities for supply chains, business models, and sustainability-oriented innovations Sustainability: Science, Practice and Policy 2022 18 1 773 795 Available from: https://doi.org/10.1080/15487733.2022.2125640 Search in Google Scholar

Scherrer M, Deflorin P, Anand G. Manufacturing flexibility through outsourcing: effects of contingencies. International Journal of Operations & Production Management. 2014;34(9):1210–1242. Available from: https://doi.org/10.1108/ijopm-01-2012-0033 ScherrerM DeflorinP AnandG Manufacturing flexibility through outsourcing: effects of contingencies International Journal of Operations & Production Management 2014 34 9 1210 1242 Available from: https://doi.org/10.1108/ijopm-01-2012-0033 Search in Google Scholar

Keough I, Benjamin D. Multi-objective optimization in architectural design. 2010. Available from: https://doi.org/10.1145/1878537.1878736 KeoughI BenjaminD Multi-objective optimization in architectural design 2010 Available from: https://doi.org/10.1145/1878537.1878736 Search in Google Scholar

Hasan M, Shanta MR, Shams A, Rahman S, Elahi S, Islam M. Advantages of lean techniques application in apparel industry: case study on knit jacket. Journal of Textile Engineering & Fashion Technology. 2019;5(5). Available from: https://doi.org/10.15406/jteft.2019.05.00210 HasanM ShantaMR ShamsA RahmanS ElahiS IslamM Advantages of lean techniques application in apparel industry: case study on knit jacket Journal of Textile Engineering & Fashion Technology 2019 5 5 Available from: https://doi.org/10.15406/jteft.2019.05.00210 Search in Google Scholar