MENGUKUR KINERJA PENERAPAN LEAN PADA PROSES PRODUKSI FLAT BAR DENGAN METODE FUZZY LOGIC (Studi Kasus: PT. Jatim Taman Steel Mfg Plant Gresik)
| Main Authors: | Nurul, Mazidah, Dahda, Said Salim, Ismiah, Elly |
|---|---|
| Format: | Article NonPeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
, 2018
|
| Subjects: | |
| Online Access: |
http://eprints.umg.ac.id/1438/1/14611036%20Nurul%20Mazidah%20MENGUKUR%20KINERJA%20PENERAPAN%20LEAN%20PADA%20PROSES%20PRODUKSI%20FLAT%20BAR%20DENGAN%20METODE%20FUZZY%20LOGIC.pdf http://eprints.umg.ac.id/1438/ |
Daftar Isi:
- Lean implementation has been widely used in various companies, but the company does not have a measurement tool to describe the achievement of lean implementation, so that the improvements made do not focus on critical factors that affect overall production. From this problem, how to determine the criteria for measuring the performance of lean implementation and how to measure the performance of lean implementation with the criteria that have been determined by fuzzy logic. In this measurement, lean criteria are used only qualitatively and are carried out on the dimensions of quality, customer, process, human resources, shipping & suppliers. And this measurement is only in the scope of the flat bar production with 6 respondents consisting of the quality, customer, production, supplier, human resources and production department heads. For decision making in solving problems, fuzzy logic methods are needed, which are able to represent ambiguity or ambiguity to the concept being modeled. From the measurement results, the value of leanness obtained from centroid defuzzification. Then plot the values into the lean radar chart, so that the quality dimension is known to have the largest leanness value, which is 1.46 and the shipping dimension & suppleir have the lowest leanness value, which is 0.76. This shows that companies are more focused on lean quality than lean shipping & suppleir. The low value of leanness also shows that these dimensions need to be improved to improve production performance. Leanness index results are used to calculate fuzzy leanness index (FLI) to determine the fuzzy index index position of the linguistic level. The results of FLI (4.42, 5.81, 7.86) are used to determine the proximity of the FLI and the fuzzy number of the leanness level with euclidean distance. The results obtained, the distance of the FLI approaching very lean as far as 1.57.