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Tytuł artykułu

Development of a Method to Compute the Overall Key Performance Index for a Spinning Mill to Aid Supply Chain Management

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Warianty tytułu
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Opracowanie metody obliczania ogólnego kluczowego wskaźnika wydajności dla przędzalni w celu wspomagania zarządzania łańcuchem dostaw
Języki publikacji
EN
Abstrakty
EN
This paper aims to provide a convenient measure of evaluating the performance of spinning mills using the overall Key Performance Index. Although many authors have advocated the concept of the key performance index, their studies were confined to departments other than spinning. The methodology followed in this paper is based on providing weightages to machine utilisation, spindle production, end breaks, HOK (number of operative hours required to produce 100 kg of yarn), roving production, yarn realisation, CSP (count strength product), units/kg of yarn and to compute the overall Key Performance Index in a logical manner. It has come to light that some mills have achieved an overall Key Performance Index (OKPI) of more than 100 and less than 100 in certain other mills. Also the important factors which are significant for supply chain management have been highlighted. A very useful source of information and advice for various spinning mills to develop their own supply chain strategies is provided. Especially with the introduction of technical textiles, supply chain management has become a critical area.
PL
Celem artykułu było zapewnienie wygodnej miary oceny wydajności przędzalni przy użyciu ogólnego kluczowego wskaźnika wydajności. Chociaż w wielu opublikowanych pracach opowiadano się za koncepcją kluczowego wskaźnika wydajności, dotychczasowe badania ograniczały się do innych działów niż przędzalnictwo. Metodologia zastosowana w artykule opiera się na zapewnieniu wag użytkowania maszyny, produkcji wrzeciona, przerw końcowych, HOK (liczba godzin operacyjnych potrzebnych do wyprodukowania 100 kg przędzy), produkcji niedoprzędów, realizacji przędzy, CSP (iloczyn wytrzymałościowy), jednostek/kg przędzy. W pracy podkreślono czynniki istotne dla zarządzania łańcuchem dostaw. Artykuł może stanowić bardzo przydatne źródło informacji i porad dla różnych przędzalni w celu opracowania własnych strategii łańcucha dostaw, szczególnie biorąc pod uwagę fakt, że zarządzanie łańcuchem dostaw stało się krytycznym obszarem, zwłaszcza po wprowadzeniu tkanin technicznych.
Rocznik
Strony
20--26
Opis fizyczny
Bibliogr. 33 poz., rys., tab.
Twórcy
autor
  • Panimalar Polytechnic College, Department of Mechanical Engineering, Chennai-29, India
  • VIT University, Department of Manufacturing Engineering, SMEC, Vellore, India
  • Chennai Institute of Technology, Kundratur, Chennai-69, India
Bibliografia
  • 1. Anand KT, Rajan AJ, Narayanan KV, Ramesh Bapu BR. Key Variables in the Control of Lead Time in Spinning Mills. FIBRES & TEXTILES in Eastern Europe 2016; 24, 2(116): 139-145. DOI: 10.5604/12303666.1179078.
  • 2. Arindam Basu. Textile Testing – Fibre, Yarn & Fabric. The South India Textile Research Association, Coimbatore, 2006.
  • 3. Badaway M, Abd El-Aziz AA, Idress AM, Hefny H, Hossam S. A survey on explor ing key performance indicators. Future Computing and Informatics Journal 2016; 1: 47-52.
  • 4. Barella A, Vigo JP. Esperon HO. An Application of Mini Computers to the Optimization of the Open End Spinning Process Part-I: Consideration of case of Two Variables. J. Text. Inst. 1976; 67: 253-260.
  • 5. Bongsug. Developing key performance indicators for supply chain: an industry perspective. Supply Chain Management: An International Journal 2009; 14, 6: 422-428.
  • 6. Bora A, Chaimsiri S, Krairit D. Developing key performance indicators for performance controlling of a supply chain. Proceedings of the Fifth Asia Pacific Industrial Engineering and Management Systems Conference, Gold Coast, Australia 2004.
  • 7. Bourne M, Neely A, Mills J, Platts K. Implementing performance measurement systems: a literature review. International Journal of Business Performance Management 2003; 5, 1: 1-24.
  • 8. Burgess K, Singh PJ, Koroglu R. Supply chain management: A structured literaturę review and implications for future research. International Journal of Op erations and Production Management 2006; 26, 7: 703-729.
  • 9. Cardenas LM, Shamey R, Hinks D. Key variables in the control of color in the textile supply chain. International Journal of Clothing Science and Technology 2009; 21, 5: 256-269.
  • 10. Carl-Fredrik Lindberg, SieTing Tan, JinYue Yan, Fredrik Starfelt. Key Performance Indicators Improve Industrial Performance. Energy Procedia 2015; 75: 1785-1790.
  • 11. Chellamani RP. SITRA Norms for spinning mills. The South India Textile Research Association, Coimbatore 2010.
  • 12. Clift R. Metrics for supply chain sustainability. Clean Technologies and Environmental Policy 2003; 5, 3: 240-247.
  • 13. Diwan S, Jana P, Narag AS, Knox A. Measuring efficiency of a supply chain – I and II. Tech Exchange, e – Journal from U.S. 2007.
  • 14. Garde AR, Subramanian TA. Process control in cotton spinning, ATIRA (Ahmedabad Textile Industry’s Research Association) publication 1978.
  • 15. Gunasekaran A, Patel C, Tirtiroglu E. Performance measures and metrics in a supply chain environment. International Journal of Operations and Production Management 2001; 21, 1/2: 71-87.
  • 16. Gunasekaran A, Patel C, Mcgaughey RE. A framework for supply chain performance measurement. International Journal of Production Economics 2004; 87, 3: 333-347.
  • 17. Haque KMA, Hossain MM, Hossain MSJ, Islam MA, Hassan M, Shamshuzzaman M, Hossain M D. Performance evaluation of Bangladeshi apparel and textile supply chain network: A case study. World Review of Business Research 2011; 1, 1: 211-218.
  • 18. Ishaq Bhatti M, Awan HM, Razaq Z. The key performance indicators (KPIs) and their impact on overall organizational performance. Quality & Quantity 2013; 48, 6: 3127-3143.
  • 19. Jain J, Dangayach G S, Agarwal G Banerjee S. Supply chain management: Literature review and some issues. Journal of Studies on Manufacturing 2010; 1, 1: 11-25.
  • 20. Jian Cai, Xiangdong Liu, Zhihui Xiao, Jin Liu. Improving supply chain performance management: A systematic approach to analyzing iterative KPI accomplishment. Decision Support Systems 2009: 46 : 512-521.
  • 21. Khan SA. Importance of Measuring Supply Chain Management Performance. Industrial Engineering & Management 2013; 2, 5: 1-2.
  • 22. Lam JKC, Postle R. Textile and apparel supply chain management in Hong Kong. International Journal of Clothing Science and Technology 2006; 18, 4: 265-277.
  • 23. Lenny Koh SC, Demirbag M, Bayraktar E, Tatoglu E, Zaim S. The impact of supply chain management practices on performance of SMEs. Industrial Management and Data Systems 2007; 107, 1: 103-124.
  • 24. Meloun M, Militky T. Statistical Data Analysis A Practical guide, Woodhead Publishing India Pvt Ltd., New Delhi , 2012.
  • 25. Nagarajan NK, Shamuganandam D. Can a Spinning mill achieve a Single Digit HOK? – A Case Study. 56th Joint Technological Conference, 30th December, SITRA, Coimbatore 2015; 1-10.
  • 26. Neely A. The performance measurement revolution: Why now and what next?. International Journal of Operations and Production Management 1999; 19, 2: 205-228.
  • 27. Neely A, Mills J, Platts K, Richards H, Gregory M, Bourne M, Kennerley M. Performance measurement system design: developing and testing a process–based approach. International Journal of Operations and Production Management 2000; 20, 10: 1119-1145.
  • 28. Neely A, Jarrar Y. Extracting value from data – the performance planning value chain. Business Process Management Journal 2004; 10, 5: 506-509.
  • 29. Neely A, Gregory M, Platts K. Performance measurement system design: A literature review and research agenda. International Journal of Operations and Production Management 2005; 25, 12: 1228-1263.
  • 30. Spahija S, Shehi E, Guxho G. Evaluation of production effectiveness in garment companies through key performance indicators. AUTEX Research Journal 2012; 12, 2: 62-66.
  • 31. Spahija S, Shehi S. Development of Key Performance Indicators and Impact Assessment for a Garment Company. International Journal of Innovative Research in Science, Engineering and Technology 2015; 4, 7: 5528-5533.
  • 32. Thakkar J, Kanda A, Deshmukh SG. Supply chain management in SMEs: Development of constructs and propositions. Asia Pacific Journal of Marketing and Logistics 2008; 20, 1: 97-131.
  • 33. Ulle RS, Santosh Kumar AN. Key performance indicators of TQM – An analysis by using analytical hierarchy process. The International Journal of Business and Management 2015; 3, 8: 155-159.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ace8e2d9-07f6-4d71-a5d3-638eef3f3a1a
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