scholarly journals Effect of Preventive Maintenance on the Production Line Machines and Systems Reliability: Case Study

Author(s):  
A. M. Badiea ◽  
A. A. Adel ◽  
H. A. Aamer

The aims of this study are to introduce the appropriate preventive maintenance to the production line machines at the company to increase their reliability and reduction the shutdown, and to obtain more safety. Mean time between failure, mean down time and availability are investigated as the best indicators to generally evaluate all type of maintenance. Pareto diagram and Effect-Cause techniques both have been used for identifying where and what are the problems in the production lines. The big and serious way that the company staff was using was maintenance of run to failure. Many solutions in this paper are introduced to the company to follow the proper preventive maintenance. After one year monitoring to those production lines, their productivity increases by 15.47% and the reliability becomes high.

2001 ◽  
Vol 7 (6) ◽  
pp. 543-578 ◽  
Author(s):  
S.-Y. Chiang ◽  
C.-T. Kuo ◽  
S. M. Meerkov

The bottleneck of a production line is a machine that impedes the system performance in the strongest manner. In production lines with the so-called Markovian model of machine reliability, bottlenecks with respect to the downtime, uptime, and the cycle time of the machines can be introduced. The two former have been addressed in recent publications [1] and [2]. The latter is investigated in this paper. Specifically, using a novel aggregation procedure for performance analysis of production lines with Markovian machines having different cycle time, we develop a method for c-bottleneck identification and apply it in a case study to a camshaft production line at an automotive engine plant.


Heuristic ◽  
2020 ◽  
Vol 17 (2) ◽  
pp. 87-94
Author(s):  
Nur Fadilah Fatma ◽  
Henri Ponda ◽  
Rizky Aditya Kuswara

Mesin beroperasi secara terus menerus menyebabkan menurunnya tingkat kehandalan peralatan serta menyebabkan sering terjadinya breakdown dan downtime yang tinggi pada mesin-mesinnya terutama pada mesin Extruder (ITE). Untuk meminimalisir terjadinya breakdown dan downtime maka perlu adanya sistem penjadwalan perawatan yang baik guna mencegah terjadinya kerusakan mesin. Mean Time Between Failure (MTBF) dan Mean Time to Repair (MTTR) adalah salah satu metode sebagai acuan untuk menetapkan jadwal perawatan yang efektif. Oleh karena itu, diperlukannya tindakan preventive maintenance agar dapat meningkatkan kinerja dari perusahaan, Dari hasil analisa didapatkan nilai Mean Time Between Failure (MTBF) 259,04 menit dan Mean Time to Repair (MTTR) 19.990,1 menit. Perubahan penjadwalan preventive maintenance dapat dilakukan dengan interval waktu 2 minggu sekali untuk aktivitas cleaning ac panel dan cleaning motor blower. Hasil penerapan tindakan preventive maintenance rata-rata 98% sehingga mesin mampu bekerja secara optimal.


2013 ◽  
Vol 41 (3) ◽  
pp. 1045-1053 ◽  
Author(s):  
M. Heshmat ◽  
M. A. El-Sharief ◽  
M. G. El- Sebaie

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 462
Author(s):  
Bruno Mota ◽  
Luis Gomes ◽  
Pedro Faria ◽  
Carlos Ramos ◽  
Zita Vale ◽  
...  

The scheduling of tasks in a production line is a complex problem that needs to take into account several constraints, such as product deadlines and machine limitations. With innovative focus, the main constraint that will be addressed in this paper, and that usually is not considered, is the energy consumption cost in the production line. For that, an approach based on genetic algorithms is proposed and implemented. The use of local energy generation, especially from renewable sources, and the possibility of having multiple energy providers allow the user to manage its consumption according to energy prices and energy availability. The proposed solution takes into account the energy availability of renewable sources and energy prices to optimize the scheduling of a production line using a genetic algorithm with multiple constraints. The proposed algorithm also enables a production line to participate in demand response events by shifting its production, by using the flexibility of production lines. A case study using real production data that represents a textile industry is presented, where the tasks for six days are scheduled. During the week, a demand response event is launched, and the proposed algorithm shifts the consumption by changing task orders and machine usage.


2020 ◽  
Vol 38 (9A) ◽  
pp. 1283-1292
Author(s):  
Rasha J. Marzoog ◽  
Sawsan S. Al-Zubaidyb ◽  
Ahmed A. Alduroobi

Production Line Balancing (PLB) is the technique of assigning the operations to workstations in such a way that the assignment minimizes the idle time between workstations. PLB aims to equator the workload in each workstation to assure maximum production flow. By adding machine in specific configurations is one treatment which leads to this leveling in workload. This research studies the different efficiencies of the added machine and the effect of these efficiencies on line balancing to select the machine with suitable efficiency. This will be led to reduce the idle time between workstations and increasing production flow. The work time considered as the efficiency criterion for this case study. The study has been implemented on a dumb truck production line and resulted in increasing the line efficiency to 81.7%.


2019 ◽  
Vol 1 (1) ◽  
pp. 23-35
Author(s):  
Herman Budi Harja ◽  
Nunu Ahmad Nugraha

Seringnya terjadi kegiatan perawatan (downtime) tidak terencana mesin Curing pada line produksi ban mobil PT XYZ merupakan indikasi adanya ketidakefektifan perawatan terencana (PM) yang diterapkan perusahaan. Downtime tidak terencana menyebabkan line produksi berhenti dan kehilangan waktu berproduksi, meningkatnya jumlah produk gagal saat setup, dan tingginya biaya perawatan mesin produksi. Perusahaan perlu meningkatan efektivitas dan efisiensi kinerja system perawatan melalui pembaharuan jadwal perawatan agar availability mesin tinggi. Tujuan penelitian ini adalah mengidentifikasi komponen penyebab kegagalan fungsi mesin curing dan menghasilkan rekomendasi waktu interval perawatannya yang sesuai. Metoda distribusi Weibull digunakan untuk mendapatkan nilai index of fit time to failure beberapa komponen kritis mesin, menganalisa laju kerusakan komponen, menghitung nilai mean time between failure (MTBF) komponen sebagai durasi expected lifetime komponen tersebut. Hasil yang diperoleh menunjukkan bahwa terdapat dua komponen kritis pada mesin curing dengan indikasi laju kerusakan seiring waktu (nilai β>1), yaitu silinder press dan EPV dengan nilai MTBF sebesar 89 hari untuk silinder press dan 231 hari untuk EPV. Hasil kajian ini mengusulkan pembaharuan jadwal PM mesin curing agar mempertimbangkan penambahan kegiatan PM baru yang mengakomodir nilai durasi expected lifetime dari komponen-komponen penyebab mesin breakdown, sehingga dapat meminimalkan downtime tidak terencana.


2015 ◽  
Vol 799-800 ◽  
pp. 1035-1039
Author(s):  
Ahmad Fauzi Fudzin ◽  
Mohd Amin Abd Majid

Robot arrangement in the automotive assembly plant in manufacturing environment consists of series and parallel configurations. Robot subsystems at painting lines were configured in series configuration while overall system was configured in parallel. Interruption of operations due to breakdown at both subsystems during operation would affect the production throughput. The robots’ breakdown data for each subsystem were acquired for reliability analysis of parallel-serial configuration of robots. This study is to analyze the serial subsystems robot reliability compared to reliability of robots in overall system in parallel-serial configuration. The seven years actual breakdown data were acquired from the automotive painting plant. By using the reliability block diagram (RBD) method, at the 5000 operating hours, the two subsystems at the painting lines were evaluated. Reliability of the two subsystems are 0.029 and 0.119 respectively. While the overall parallel-serial system has the reliability of 0.145. It is proven that the parallel-serial reliability of the system is better compared to series configuration of the subsystems. With parallel-serial system, the production line would not be interrupted during the corrective or preventive maintenance worked.


Author(s):  
Antonio Sánchez Herguedas ◽  
Adolfo Crespo Márquez ◽  
Francisco Rodrigo Muñoz

Abstract This paper describes the optimization of preventive maintenance (PM) over a finite planning horizon in a semi-Markov framework. In this framework, the asset may be operating, and providing income for the asset owner, or not operating and undergoing PM, or not operating and undergoing corrective maintenance following failure. PM is triggered when the asset has been operating for τ time units. A number m of transitions specifies the finite horizon. This system is described with a set of recurrence relations, and their z-transform is used to determine the value of τ that maximizes the average accumulated reward over the horizon. We study under what conditions a solution can be found, and for those specific cases the solution τ* is calculated. Despite the complexity of the mathematical solution, the result obtained allows the analyst to provide a quick and easy-to-use tool for practical application in many real-world cases. To demonstrate this, the method has been implemented for a case study, and its accuracy and practical implementation were tested using Monte Carlo simulation and direct calculation.


1993 ◽  
Vol 21 (3) ◽  
pp. 275-279 ◽  
Author(s):  
John Turnbull

Polydipsia is a disorder that has received little attention in the research literature. Treatment has been mainly confined to medical or pharmacological intervention. Few studies have reported the use of contingency management techniques and none have sought to encourage self-management. This study shows how such a procedure brought about a significant change in rates of water drinking in a thirty-one year old man with a mild learning disability.


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