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The proposed improvements to minimize potential failures using lean six sigma and multi attribute failure mode analysis approaches

Ulfah, Maria and Trenggonowati, Dyah Lintang and Ekawati, Ratna and Ramadhania, Sherin (2019) The proposed improvements to minimize potential failures using lean six sigma and multi attribute failure mode analysis approaches. IOP Conference Series: Materials Science and Engineering, Broad Exposure to Science and Technology 2019 (BEST2019), 673. pp. 1-7. ISSN 1757-899X

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Abstract

PT X is the largest steel industry in Indonesia. During the production process, still have large quantities of waste defect. The purpose of this research is to determine the waste that occurs in the production process, determine the characteristics of deformity or critical to quality (CTQ), determine the sigma value, determine the factors that caused the failure of the production process, and determine the proposed improvement to minimize the failure of the production process. The most dominant types of defects are serrated edge, wavy edge, poor cleanliness, pick up, edge crack, ripple edge, and bad weld. The sigma value of cold rolled coil product is 4,131 which is included into the industry average of USA (± 4σ). Factors that caused cold rolled coil production process failed based on criteria severity, occurrence, detection, and expected costs by Fuzzy Analytical Hierarchy Process (F-AHP) is material imported from outside with a total weight of 0.087. Proposed improvements done to minimize failure in cold rolled coil production processes are doing trial for products from HSM factory to test or know the slab specifications related to the chemical constituents of steelmaking and adjusting the format (such as thickness, length, width) and steel specifications to corresponding

Item Type: Article
Subjects: T Technology > T Technology (General)
Divisions: 03-Fakultas Teknik
03-Fakultas Teknik > 26201-Jurusan Teknik Industri
Depositing User: Dr ST MT Ratna Ekawati
Date Deposited: 26 May 2023 11:28
Last Modified: 26 May 2023 11:28
URI: http://eprints.untirta.ac.id/id/eprint/24700

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