TY - JOUR AU - Prambudi, Widyatmoko Reza AU - Giyanti, Ida PY - 2021/05/18 Y2 - 2024/03/29 TI - Lean Analysis Framework for Waste Management: A Case of Indonesian Textile Company JF - Jurnal Optimasi Sistem Industri JA - J. Optimasi Sist. Ind. VL - 20 IS - 1 SE - Articles DO - 10.25077/josi.v20.n1.p11-21.2021 UR - https://josi.ft.unand.ac.id/index.php/josi/article/view/491 SP - 11-21 AB - <span>This study aims to propose a lean analysis framework for waste management and to test it into the field case. The proposed framework was applied in a weaving process of </span><span lang="EN-US">a </span><span>textile company in Indonesia. The seven classical Lean wastes were identified using value str</span><span lang="EN-US">e</span><span>am mapping (VSM). The result was then analyzed using the waste assessment model within which waste relationship matrix (WRM) and waste assessment questionnaire (WAQ) according to the answers of the head of weaving division studied. The major source of wastes was then determined utilizing the value stream analysis tool (VALSAT). In order to thoroug</span><span lang="EN-US">h</span><span>ly examine the root cause of such dominant wastes and to propose corrective plans to minimize the waste, a fishbone diagram was used. As the main result, this study provides a lean waste analysis framework with examples to orientate managers about wastes. Particula</span><span lang="EN-US">r</span><span>ly in our specific case, the results demonstrate that the waiting and defect become the most significant wastes that need to be treated. These findings allow a company to organize </span><span lang="EN-US">its</span><span> activities and select tools or practices to optimize </span><span lang="EN-US">its</span><span> efforts to create proper corrective plans in eliminating waste. In our study, the plans include periodic maintenance </span><span lang="EN-US">of </span><span>weaving machines, clear division of tasks on the distribution of weft yarns, and eliminating unnecessary activities. In addition, it is mandatory to ensure the quality of warp yarns delivered to the weaving process as well as to perform a periodic calibration of equipment on weaving machines. This study advances in the theoretical and practical field by showing a structured way to incorporate lean analysis that can be adopted for any organization.</span> ER -