International Journal of Supply Chain Management
Vol 9, No 3 (2020): International Journal of Supply Chain Management (IJSCM)

Preventive Maintenance Supply Chain Management Optimal Scheduling on VMACL Machines by Implementing Simulation Annealing Algorithms

Yuyun Hidayat (Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, INDONESIA.)
Titi Purwandari (Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, INDONESIA)
Achmad Bachrudin (Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, INDONESIA)
Aziza Ayu Nurjannah (Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, INDONESIA)
Agus Santoso (Department of Statistics, Faculty of Sciences and Technology, Universitas Terbuka, INDONESIA.)
Sukono Sukono (Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, INDONESIA.)

Article Info

Publish Date
27 Jun 2020

Abstract

PT. Braja Mukti Cakra uses various types of engines to produce parts for truck cars. Vertical Lathe Automatic Chucking Machine (VMACL) is a machine that has the highest frequency of damage when compared to other machines. To reduce damage costs, preventive maintenance is well scheduled. This scheduling problem solving is done using the Annealing Simulation Algorithm. The results of the analysis give direction that the scheduling that must be done are: The maintenance action schedule for the Lifter component is at month 1,6,7,22,24,34, for the Insert component at 4,15,18,27,33 months, and for the Door component at the 2nd month, 12,13,16,17,30,36. Replacement actions for the Lifter component were carried out in the 4,5th month, 1,17,20,29, for the Insert component in the 9,19,22,23,35 months, and for the Door component in the 1,20,27 months. . Scheduling for 36 months using the Simulated Annealing Algorithm will cost IDR. 84,119,244.60 and produce greater reliability than the previous reliability of 58.44%.

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Journal Info
International Journal of Supply Chain Management
Website

Abbrev

IJSCM

Publisher

ExcelingTech

Subject

Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering Transportation

Description

International Journal of Supply Chain Management (IJSCM) is a peer-reviewed indexed journal, ISSN: 2050-7399 (Online), 2051-3771 (Print), that publishes original, high quality, supply chain management empirical research that will have a significant impact on SCM theory and practice. Manuscripts ...