Stochastic scheduling of workforce-constrained preventive maintenance activities in petroleum plants

2017 ◽  
Author(s):  
Mahmoud Awad ◽  
Mehmet Ertem
Keyword(s):  
Preventive Maintenance ◽  
Stochastic Scheduling ◽  
Maintenance Activities

scholarly journals Incoming Work-In-Progress Prediction in Semiconductor Fabrication Foundry Using Long Short-Term Memory

2019 ◽  
Vol 2019 ◽  
pp. 1-16
Author(s):  
Tze Chiang Tin ◽  
Kang Leng Chiew ◽  
Siew Chee Phang ◽  
San Nah Sze ◽  
Pei San Tan
Keyword(s):  
Preventive Maintenance ◽  
Short Term Memory ◽  
Operational Reliability ◽  
Statistical Forecasting ◽  
Work In Progress ◽  
Dependent Behavior ◽  
Proposed Model ◽  
Forecasting Method ◽  
Semiconductor Fabrication ◽  
Maintenance Activities

Preventive maintenance activities require a tool to be offline for long hour in order to perform the prescribed maintenance activities. Although preventive maintenance is crucial to ensure operational reliability and efficiency of the tool, long hour of preventive maintenance activities increases the cycle time of the semiconductor fabrication foundry (Fab). Therefore, this activity is usually performed when the incoming Work-in-Progress to the equipment is forecasted to be low. The current statistical forecasting approach has low accuracy because it lacks the ability to capture the time-dependent behavior of the Work-in-Progress. In this paper, we present a forecasting model that utilizes machine learning method to forecast the incoming Work-In-Progress. Specifically, our proposed model uses LSTM to forecast multistep ahead incoming Work-in-Progress prediction to an equipment group. The proposed model's prediction results were compared with the results of the current statistical forecasting method of the Fab. The experimental results demonstrated that the proposed model performed better than the statistical forecasting method in both hit rate and Pearson’s correlation coefficient, r.

Speeding Maintenance Performance through Time Study

2014 ◽  
Vol 607 ◽  
pp. 860-863
Author(s):  
Nolia Harudin ◽  
Sha’ri Mohd Yusof
Keyword(s):  
Preventive Maintenance ◽  
Equipment Management ◽  
Time Study ◽  
Manufacturing Environment ◽  
Machine Availability ◽  
Actual Observation ◽  
Plant Maintenance ◽  
Plant Operations ◽  
Maintenance Activities ◽  
Maintenance Performance

As more than $300 billion spent on plant maintenance and operations, U.S. industry spends as much as 80 percent of this amount to correct chronic failures of machines, systems, and people. With machines and systems becoming increasingly complex, this problem can only worsen, and there is a clear and pressing need to establish comprehensive equipment management programs that incorporate the diverse considerations that are essential to minimizing risk and lead to effective maintenance. In a production or manufacturing environment, good maintenance engineering is necessary for smooth and safe daily plant operations. This research which was conducted at one of the worldwide well known Semi Conductor Company located at Kedah, Malaysia were drive subject to improve the effectiveness of preventive maintenance activities through lean approaches. Tools such time study, spaghetti diagram and FMEA were the main key tools and concept drive throughout this research. Machine Availability is the indicator used to evaluate the improvement expected for all the proposal took in placed. With the team effort and several proposal were addressed, Machine Availability able to be improved about 0.4% which lead to improvement of weekly preventive maintenance from 4 hours on actual observation to only 1 hours as new target. It also indirectly lead to the improvement of monthly preventive maintenance which may only require 4 ½ hours instead of 5 ½ hours of previous target. The result is currently practiced and team still looking for further opportunity to improve.

scholarly journals Sistemas de gestión en mantenimiento: propuesta de un TPM en una empresa productora de marcos y molduras de la región

2020 ◽  
pp. 11-17
Author(s):  
René Daniel Fornés-Rivera ◽  
Marco Antonio Conant-Pablos ◽  
Adolfo Cano-Carrasco ◽  
Roberto Carlos Gutiérrez-Beltrán
Keyword(s):  
Preventive Maintenance ◽  
Maintenance Scheduling ◽  
Total Productive Maintenance ◽  
Maintenance Costs ◽  
Monthly Average ◽  
Maintenance Program ◽  
Maintenance Activities ◽  
A Company ◽  
And Training

This research is carried out in a company that produces frames and moldings and addresses the need to develop a Total Productive Maintenance (TPM) program, as a result of the unavailability of machinery and equipment; and training that affects maintenance operations, which are not performed correctly causing costs. Currently there is a 76% availability of machinery; 78% in equipment; 42% in training and monthly average costs in machinery of $ 15,260 pesos; and in equipment of $ 1,860 pesos, in terms of maintenance costs there are no globales records. The objective was to carry out a proposal for maintenance activities, through the TPM methodology; to have an updated maintenance program. The procedure was: Describe the area under study; describe the situation of the area under study; establish TPM policies and goals; identify failures in machinery and equipment; and develop the maintenance program. It was contributed with the contribution of a maintenance program composed of: calendar, records of equipment in stock, corrective and preventive maintenance, maintenance scheduling, records of maintenance costs and catalog. Thus fulfilling the objective of this investigation.

scholarly journals Pembuatan Program Aplikasi Pemeliharaan Mesin Terjadual Di Laboratorium Mekanik Polman Negeri Bangka Belitung

2019 ◽  
Vol 10 (02) ◽  
pp. 23-30
Author(s):  
Hasdiansah Hasdiansah
Keyword(s):  
Preventive Maintenance ◽  
Personal Data ◽  
Visual Basic ◽  
Microsoft Access ◽  
Instruction Sheet ◽  
History Of ◽  
System Maintenance ◽  
Computer Based ◽  
Maintenance Activities ◽  
Visual Basic 6.0

Every company wants all its equipment or machinery operating in optimum condition, so that the necessary maintenance activities to fulfill that desire. Management of maintenance activities to be hard to do when the equipment or machines owned by increasingly numerous and complex, and activities increase the number of machines or equipment routinely performed. Therefore needed a system to manage maintenance activities quickly, especially in administration of maintenance of machine or equipment are handled. This program has the ability to manage personal data engines, machinery or equipment maintenance scheduling, managing work instruction sheet, a history of the machine, the data parts, data managing maintenance activities, preventive maintenance and expense reports. System maintenance is made by using a computer-based information system maintenance. In making the program used Microsoft Visual Basic 6.0 and used for the purpose of Microsoft Access database.

scholarly journals ANALISIS PEMELIHARAAN PREVENTIF AC PACKAGE PADA GERBONG KERETA PENUMPANG K1 DI DEPO 2 GERBONG KERETA BANDUNG

2020 ◽  
Vol 12 (1) ◽  
pp. 48-59
Author(s):  
Gilang Muharam Pratama Putra ◽  
Andri Irawan
Keyword(s):  
Data Collection ◽  
Preventive Maintenance ◽  
Sampling Technique ◽  
Economic Life ◽  
Snowball Sampling ◽  
Equipment And Supplies ◽  
Passenger Train ◽  
Qualitative Descriptive ◽  
Maintenance Activities ◽  
Snowball Sampling Technique

This study aims to analyze the maintenance of AC Package preventive on the K1 passenger train car at Depo 2 of Bandung Rail Car. This research is a qualitative descriptive, using snowball sampling technique. Data collection techniques in this study were interviews, observation, and documentation. In this study using a validity test that is a triangulation of sources, triangulation of techniques and triangulation of time. The results showed that in maintaining the economic life of the AC Package is still not good and still found damage to the AC Package. In the supply of technicians, equipment and supplies are still not available as specified. There are still 44 technicians needed and the equipment is still in poor condition. in this case, the AC Package preventive maintenance activities on K1 passenger train cars still have a lot to be repaired at Depo 2 Bandung

scholarly journals Improved Approaches to Minimize the Makespan on Single-Machine Scheduling with Periodic Preventive Maintenance Activities

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Hongming Zhou ◽  
Ya-Chih Tsai ◽  
Ful-Chiang Wu ◽  
Shenquan Huang ◽  
Fuh-Der Chou
Keyword(s):  
Single Machine ◽  
Preventive Maintenance ◽  
Bin Packing ◽  
Heuristic Algorithms ◽  
Machine Scheduling ◽  
Single Machine Scheduling ◽  
Mixed Integer ◽  
Mip Model ◽  
Periodic Preventive Maintenance ◽  
Maintenance Activities

This paper addresses a single-machine scheduling problem with periodic preventive maintenance activities that are predeterministic so that the machine is not available all the time, and jobs have to be processed between two consecutive maintenance periods. We propose a mixed integer programming (MIP) model and two heuristics to minimize the makespan. With more constraints in our model, the model is more efficient than the recent model of Perez-Gonzalez and Framinan , and our model could solve problems with up to fifty jobs. Two heuristic algorithms, namely, H (MW) and H (LB∗), are also proposed, in which two bin-packing policies of the minimum waste and minimum lower bound are used, respectively. Furthermore, we also proposed an improvement procedure. The results showed that the heuristic H (MW) outperformed other heuristics of the paper, indicating that the bin-packing policy of the minimum waste is more effective than well-known ones such as full batch and best fit. Additionally, all the heuristic algorithms addressed in this paper combined with the improvement procedure could achieve a similar and high quality of solutions with a very tiny increase in computational expense.

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