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Improvement of raw material picking process in sewing machine factory using lean techniques

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Języki publikacji
EN
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EN
This study demonstrates application of Lean techniques to improve working process in a sewing machine factory, focusing on the raw material picking process. The value stream mapping and flow process chart techniques were utilized to identify the value added activities, non-value activities and necessary but non-value added activities in the current process. The ECRS (Eliminate, Combine, Rearrange and Simplify) in waste reduction was subsequently applied to improve the working process by (i) adjusting the raw material picking procedures and pre-packing raw material as per demand, (ii) adding symbols onto the containers to reduce time spent in picking material based on visual control principle, and (iii) developing and zoning storage area, identifying level location for each row and also applying algorithms generated from a solver program and linear programming to appropriately define the location of raw material storage. Improvement in the raw material picking process was realized, cutting down six out of 11 procedures in material picking or by 55%, reducing material picking time from 24 to 4 min or by 83%. The distance to handle material in the warehouse can be shortened by 120 m per time or 2,400 m per day, equal to 86% reduction. Lean techniques proved to provide significant improvement in sewing machine company operations.
Twórcy
  • Chiang Mai University, Excellence Center in Logistics and Supply Chain Management, 239, Huay Kaew Road, Chiang Mai, 50200 Thailand
  • Excellence Center in Logistics and Supply Chain Management, Faculty of Engineering, Chiang Mai University, Thailand
Bibliografia
  • [1] Ramingwong S., Sopadang A. Tippayawong K.Y., Factory logistics improvement projects: case of northern Thailand, Lecture Notes in Electrical Engineering, 349, 357–362, 2015.
  • [2] Tippayawong K.Y., Piriyageera-Anan P., Chaichak T., Reduction in energy consumption and operating cost in dried corn warehouse using logistics techniques, Maejo International Journal of Science and Technology, 7, 2, 258–267, 2013.
  • [3] Antosz K., Stadnicka D., Lean philosophy implementation in SMEs study results, Procedia Engineering, 182, 25–32, 2017.
  • [4] Majava1 J., Ojanper T., Lean production development in SMEs: a case study, Management and Production Engineering Review, 8, 2, 41–48, 2017.
  • [5] Bevilacqua M., Ciarapica F.E., Antomarioni S., Lean principles for organizing items in an automated storage and retrieval system – An association rule mining – based approach, Management and Production Engineering Review, 10, 1, 29–36, 2019.
  • [6] Seth D., Seth N., Dhariwal P., Application of value stream mapping (VSM) for lean and cycle time reduction in complex production environments, Production Planning and Control, 28(5), 398-419, 2017.
  • [7] Minh N.D., Nguyen N.D., Cuong P.K., Applying lean tools and principles to reduce cost of waste management: An empirical research in Vietnam, Management and Production Engineering Review, 10, 1, 37–49, 2019.
  • [8] Esfandyari A., Osman M.R., Ismail N., Tahriri F., Application of value stream mapping using simulation to decrease production lead time: a Malaysian manufacturing case, International Journal of Industrial and Systems Engineering, 8, 2, 230–250, 2011.
  • [9] Purba H.H., Mukhlisin, Aisyah S., Productivity improvement picking order by appropriate method, value stream mapping analysis, and storage design: A case study in automotive part center, Management and Production Engineering Review, 9, 1, 71– 81, 2018.
  • [10] Popescu D., Kaizen-driven approach while managing industrial projects. A Scandinavian company succeeds in eastern Europe, Management and Production Engineering Review, 6, 1, 26–35, 2015.
  • [11] De Koster R., Le-Duc T., Roodbergen K.J., Design and control of warehouse order picking: A literature review, European Journal of Operational Research, 182, 2, 481–501, 2007.
  • [12] Zhang Y., Correlated storage assignment strategy to reduce travel distance in order picking, International Federation of Automatic Control, 49, 2, 30–35, 2016.
  • [13] Schweitzer J., A new approach of model and optimize the order sequence of a two stage storage and order picking system with particular attention to restrictions of the material flow, Procedia-Social and Behavioral Sciences, 220, 434–443, 2016.
  • [14] Sumala J., Reduction the distance and time for order picking by ABC Classification case study, TNI Journal of Business and Languages, 1, 15–22, 2012.
  • [15] Lee J., Chang Y., Shim H., Cho S., A study on the picking process time, Procedia Manufacturing, 3, 731–738, 2015.
  • [16] Rushton A., Croucher P., Baker P., Handbook of logistics and distribution management, 4th ed., The Chartered Institute of Logistics and Transportation, UK, 2010.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-18a00662-7a7c-4df3-834f-0854bb9b74ec
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