Anda belum login :: 16 Apr 2025 08:56 WIB
Detail
ArtikelSpinning machine maintenance scheduling and cost planning unit using markov chains method at Argo Pantes  
Oleh: Puspitasari, Puspa ; Pratama, Ahmad Juang
Jenis: Article from Proceeding
Dalam koleksi: PROCEEDING The 8th International Seminar on Industrial Engineering and Management (8th ISIEM). Atria Hotel & Conference, Malang, Indonesia March 17 – 19, 2015, page PS-88.
Topik: Probability; Maintenance; Costs; Machines
Fulltext: Paper 103 Puspa Puspitasari - Al Azhar Indonesia University.pdf (379.38KB)
Isi artikelSmoothness and success of the production process is largely determined by the conditions of production machinery and support equipment. This study focuses on the process of spinning unit that functions as a unit of spinning cotton into yarn, based on the results of AHP according three experts who responsible for carding machine where the machine failures often occurs due to less than optimal maintenance. In addressing these issues the company needs to do an evaluation of engine maintenance activities, it takes planning for engine maintenance at the carding process, including control activities, repair and replacement of spare parts using Markov chain. The results showed that the maintenance of the company cost about Rp 284 605 484. while the maintenance costs after using Markov chain Rp. 170 891 389. resulting in a savings of USD 77714.095 or by 31%. It is proved that the method of Markov chain can indeed be used to minimize the cost of maintenance of machines - machines in the company. Planning preventive maintenance on the machine carding process proposed is preventive maintenance on the engine type finitex performed every 2 months, to the type of machine meikin performed every 2 months, to the type of machine nitto performed every 2 months, to the type of machine CN performed every 2 months, of the kind crossroll engine performed every 1 month.
Opini AndaKlik untuk menuliskan opini Anda tentang koleksi ini!

Kembali
design
 
Process time: 0 second(s)