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Total Productive Maintenance - A Systematic Reviewijsrd.com
TPM is an effective tool and a practical technique, which is aimed at maximizing the effectiveness of the facility by minimizing the downtime of machine, production losses and the material, production losses that occurs during the continuous production process. This also increase the working efficiency and productivity of the employee and a positive inclination is registered in the overall environment of a company. This paper presents the literature review of total productive maintenance which is a positive approach for solving the manufacturing problem, also gives the objective of TPM, a detail about a six big losses, 8 pillar of TPM also give the tool used for improvement, implementation stages, methodology for calculating the overall equipment efficiency and also give the direct and indirect benefits of TPM. The aim of this paper is to study the TPM concept and its implementation program which gives a successful improvement in overall equipment efficiency.
OVERALL EQUIPMENT EFFECTIVENESS OF CRITICAL MACHINES IN MANUFACTURING INDUSTR...IAEME Publication
Overall Equipment Effectiveness (OEE) is a measure used in Total Productive Maintenance (TPM), a maintenance program which involves a newly defined concept for maintaining plants and equipment, to calculate the percentage of actual effectiveness of the equipment, taking into consideration the availability of the equipment, the performance rate when running and the quality rate of the manufactured product measured over a period of time (days, weeks or months). The equipment criticality is decided by considering how and how much the equipment affects the production volume and quality.
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1. DECON 2008 – National Conference of Design and Concurrent Engineering
Universiti Teknikal Malaysia Melaka
28-29 Oktober 2008
Autonomous Maintenance for Milling Machine
Wan Hasrulnizzam Wan Mahmood1
, Abdul Majid Ali
Faculty of Manufacturing Engineering,
Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 75450 Melaka
Phone: +606-2332398, Fax: +606-2332414, Email: 1
hasrulnizzam@utem.edu.my
Abstract – This paper is prepared to show the result of the AM
implementation (first step: initial cleaning) on milling machine at
Institut Kemahiran Mara (IKM). The focus of the project is to
eliminate any abnormalities (fuguai) which not needed for milling
machine. The abnormalities or fuguai is hidden enemy for milling
machine which had reduced the machine effectiveness and machine
breakdown. The result found that most of abnormalities can be
eliminated without special technical requirement. In addition, the
implementation of AM had improved user satisfaction on milling
machine operation.
Keywords – Autonomous Maintenance, Abnormalities (Fuguai),
IKM, Milling Machine, KONDIA.
I. INTRODUCTION
Production organizations are usually concerned with
converting inputs such as raw materials, labour and processes
into finished products of higher value at minimum cost
satisfying the customer needs. In order to achieve maximum
return on investments the production systems must be able to
minimize plant downtime, increase productivity, improve
quality and deliver orders to customers. This has brought the
role of maintenance into an important issue [ 1].
The increased emphasis on equipment availability,
performance, quality, environment conditions and safety
considerations has rise up maintenance functions. Total
Productive Maintenance (TPM) is a maintenance program
which involves a concept for maintaining plants and
equipment. TPM brings maintenance into focus as a
necessary and vitally important part of the business. It is no
longer regarded as a non-profit activity. According to
Venkatesh [2], the goals of the TPM program is to markedly
increase production, to hold emergency and unscheduled
maintenance to a minimum, and at the same time, increasing
employee morale and job satisfaction. One of the important
factors in TPM is Autonomous Maintenance (AM). This type
of maintenance encouraged operator to sense any
abnormalities on the machine and maintain common problem
by him/herself. By this way, the machine will always be in its
idle condition while the operator learns more and feel sense
of ownership about the machine.
Milling machines are very useful in manufacturing
engineering. Its price is quite high that worth to maintain it
rather than to buy a new one. In order to prevent it from
deteriorating, correct applications of maintenance works are
essential. This type of machines are available in every
Manufacturing Department in five Institut Kemahiran MARA
(IKM) located in Jasin, Melaka; Pekan, Pahang; Johor Bahru,
Johor; Lumut, Perak; and Kampung Pandan, Kuala Lumpur.
In each IKM, twelve milling machines are being use by their
students. Total of sixty milling machines have costs Majlis
Amanah Rakyat (MARA) millions of ringgit. This project
was planned to develop a pilot activity of AM Program in
Manufacturing Department, IKM Jasin, Melaka.
II. AUTONOMOUS MAINTENANCE
Autonomous Maintenance (AM) is one of the TPM
pillars called Jishu Hozen in Japanese. The success of TPM
in long term is depending on how far the pillar major task is
fulfilled. If the sub-division of pillar’s task continuously
improves, so does the TPM itself. To clearly define AM, the
term autonomous maintenance doesn't mean performing
maintenance in a vacuum or solely by the traditional
maintenance department. Rather, it means that operators
perform certain equipment maintenance activities and that
maintenance crafts get closely involved in the daily operation
of equipment. The focus of the operating team is on cleaning,
inspecting, lubricating, monitoring and other such essential
daily tasks traditionally within the domain of the maintenance
department.
Pomorski [3] defined that “AM is the process by which
equipment operators accept and share responsibility (with
maintenance) for the performance and health of their
equipment” as AM definition, while Shirose [4] define AM
the creation of ‘expert equipment operators’ for the purpose
of ‘protecting their own equipment’.
Unfortunately, most equipment operators lack a feeling
of ownership. Usually operator of the machine thinks that
they only use the machine to produce the product. When any
trouble happened to the machine such as broke down,
cracked, jammed or suddenly shut down, the operator will
called a person from maintenance department to settle down
the problem. The older the company, the more rooted this
mind-set becomes and the more difficult it is to change. AM
targeted the operator as the asset owner, focus for routine
maintenance and central figure in overall equipment
effectiveness.
2. III. RATIONALE OF CHOOSING MILLING
MACHINE
There are several reasons of choosing milling machine.
In manufacturing industries, there are many types of
machines have been used. Milling machine is used by the
user to produce product, component, and maintenance work.
In the other word, milling machine is useful and it is needed
for any manufacturing operations. Based on the reasons, IKM
has bought several number of milling machines for education
purpose as well as added value for student in using Milling
machine. Milling machine needs a greater maintenance for
those three axes controller; X, Y, and Z, precisely. According
to above matters; milling machine was selected for case study
in order to establish AM. However, the project is just
focussed on fuguai elimination which considered the first step
in AM implementation.
IV. KONDIA KP-90 VERTICAL MILLING
MACHINE
KONDIA KP-90 Vertical Milling Machine was
manufactured by KONDIA Machinery in Elgoibar, Spain.
One of the machines is available in Institut Kemahiran Majlis
Amanah Rakyat (IKM) in Jasin, Melaka. It was bought at the
price of RM101,915.00 by Majlis Amanah Rakyat (MARA)
in July 1993 to be used by their manufacturing engineering
trainees (students). Figure 1 shows the KONDIA KP-90
Vertical Milling Machine in its real location. See Figure 2
and Figure 3 at Appendix for machine overall dimension.
V. MACHINE MAPPING
For initial cleaning, the KONDIA KP-90 Vertical
Milling Machine has been divided into five main area (see
Figure 1):
1. Part A: variable speed head compartment;
2. Part B: overarm, column and switch box;
3. Part C: machine table and vice;
4. Part D: saddle; and
5. Part E: coolant reservoir, knee and machine
surrounding.
Part A, the variable speed head compartment consists of
variable speed head motor, drawbar to hold the tool, braking
handle to decelerate the pulley speed, high-low pulley
transfer to align with the speed selector position that range
from 60 rpm to 4250 rpm. It also has two grease cup for
lubricating purpose, slanting device that can align-off the
head up to 45 degree to the left and right, manual feed lever
for Z-axis movement, quill, and the arbour on its below.
Part B, which consist of overarm, column, and switch
box part, there are overarm that supported by 4 mounting
screws into column, coolant outlet hose, switch box that
contains all electrical control for the machine, variable speed
head power source, machine power switch, column opener,
and 3-phase power supply switch lever.
Part C for machine table and vice parts. There are a vice
and its jaws, flat surface of machine table with tee-shape slot
and its support, sideways covered by U shape sheet metal to
provide protection, left and right limit switch to avoid over
travel of X-axis, manual feed handle, auto travel speed
control and its motor, and two coolant hose inlet to enable
coolant circulation to the reservoir.
Part D is saddle, which located between machine table
and its knee. Among its parts are Y-axis and Z-axis auto
travel movement motor, hand wheel for both Y and Z axes
manual movement, slideways for Y-axis, lubrication pump
lever, and locking nuts to enable machine rigidity during
operation. It also has a control panel that consists of on and
off switch button, tool rotation changer, and an emergency
stop button.
Part E is for the bottom of machine is coolant reservoir,
knee and machine surrounding.
Part A
Part B
Part C
Part D
Part E
Figure 1: KONDIA KP-90 Vertical Milling Machine
3. VI. ABNORMALITIES
Abnormality will give negative effect for machine,
product, equipment, operator and environment. The
abnormality can be divided into three categories; safety,
function and physical which involved four types of common
fuguai; dirty, broken / loose, misplace and others. Table 1,
Table 2, and Table 3 describe the abnormality type with the
effects.
Table 1. Abnormality type: Dirties
Dirty Description Effects
Machining
chips
Small metal particles as a
result of work piece
machining. Sharp and curly,
around 2mm - 4mm length.
Safety– can cause small wound to
operator’s hand or scratch finished
work piece surface.
Function- can clogged the coolant
inlet hose
Physical- reduce machine neatness
Coolant
waste
A mixed of oil and water
use in machining process to
enhance cutting condition.
Safety- can cause slippery.
Physical- promotes corrosion on
uncoated surface. Bad odours.
Oil leakage/
spill
Oil in unwanted area such
as on the table or floor
because of the inefficient
container or transferring
process.
Safety- can cause slippery.
Function- reduces the lubrication
efficiency.
Physical- reduces machine
neatness.
Corrosion Reactions of metal surface
properties when exposed to
its surroundings.
Thin film of reddish or
brown color that deteriorate
metal surface condition.
Safety- promote unwanted hole
and reduce material strength.
Function- increase friction force
between moving parts Physical-
deteriorate surface condition
Dust Fine particles come from
surrounding.
Easily stick to wet or oily
surface.
Function- reduces lubrication
efficiency.
Physical- reduces machine
neatness.
Table 2. Abnormality type: Broken/Loose
Broken/Loose Description Effects
Broken
accessories
Tear off, broken or
being detached because
of excessive usage
Safety- sensitive machine parts were
exposed to foreign objects.
Function- Decreased machine
equipment efficiency. Some of the
machine parts totally out of use.
Physical- reduces machine neatness.
Loose Un-tighten screw
between mating parts
cause by lack of
maintenance or parts
wear off
Function- reduce parts efficiency
Physical- reduces machine neatness.
Lost Some accessories of part
were missing
Safety- can harm the machine and
operator if accessories being
malfunction.
Function- some accessories were out
of service.
Physical- reduces machine neatness.
Table 3. Abnormality type: Misplace
Misplaced Description Effects
Strange
objects
Strange material place
on the machine
Safety- can scratch machine surfaces.
Physical- reduce machine neatness.
Machine
accessories
Machine accessories
located not on its proper
place
Safety- can cause harm to another
machine parts. Function- malfunction
of certain accessories.
Physical- reduce machine neatness.
Tools Tools were not arranged
in its proper location or
compartment.
Safety- can cause harm to another
machine parts.
Physical- reduce machine neatness.
VII. RESULT & DISCUSSION
AM in the first step implementation is focused on initial
cleaning or the other word, eliminating existed abnormalities.
This step is very crucial to analyse current machine’s
performance without abnormalities. For data collection, eight
week observations were conducted. The result of the
observations presented in Table 4. Table 4 shows the
frequency table of abnormalities which divided into
abnormality type, machine part and abnormality categories.
Table 4: Frequency of abnormality Based On type, Part,
Category in Eight Week Observations
Week
TOTAL
1 2 3 4 5 6 7 8
Type Dirty 17 9 12 9 7 5 4 4 67
Broken/ loose 9 5 1 1 2 3 2 1 24
Misplace 4 2 2 2 1 0 0 1 12
Others 2 0 0 1 2 1 1 1 8
TOTAL 32 16 15 13 12 9 7 7 111
Part A 3 1 0 1 3 0 2 1 11
B 10 4 2 2 1 1 2 3 25
C 7 6 4 5 1 4 0 0 27
D 6 2 4 3 4 0 0 1 20
E 6 3 5 2 3 4 3 2 28
TOTAL 32 16 15 13 12 9 7 7 111
Category Safety 5 2 1 2 2 1 1 0 14
Function 7 4 4 4 4 3 3 3 32
Physical 20 10 10 7 6 5 3 4 65
TOTAL 32 16 15 13 12 9 7 7 111
From this finding, it can be said that the abnormality are
most discovered in week 1. Although, the result shows that
the abnormality are steady decrease in week 8.
In terms of abnormality type, dirty with the frequency
score of 67 become the highest abnormalities which involved
machining chips, coolant, oil leakages and dust. With
different of 43 for dirty frequency score, broken/loose is also
considered a serious problem. Subsequently, as shown in
Table 4, misplace and other abnormality types were
contributed 12 and 8 respectively.
For machine part, Table 4 shows that there are average
numbers of abnormality for each. Part E had most
abnormality meanwhile Part A had least abnormality.
Table 4 shows that physical category of abnormality
become the highly critical abnormality and need more
attention from machine users. In addition, in 8 week of
observations, obviously shown in Table 4, just over a half of
total identified abnormalities are physical abnormality.
Although, the frequencies of function and safety fuguai are
less than physical abnormality, it may reduce machine
effectiveness.
4. VIII. CONCLUSION
In the nutshell, the project concludes that implementation
of Autonomous Maintenance (AM) is very useful for
machine, user and IKM itself. Most of abnormalities (fuguai)
have been eliminated through AM and improved the
efficiency of the milling machine. Besides, AM had improved
the environment and increased the user discipline during
milling operation.
ACKNOWLEDGMENT
The author wishes to thank the UTeM for financial support
and IKM staffs and students for cooperation in this project.
REFERENCES
[1] School of Management Studies, Indira Gandhi National
Open University (IGNOU) (2004). “Maintenance
Management”. [Online]. Available:
http://www.ignou.ac.in/edusat/mba/ms-57/pdf/ms-
57b1e.pdf [2007, July 20].
[2] Venkatesh, J. The Plant Maintenance Resource Center,
(2006). “An Introduction to Total Productive
Maintenance (TPM)” [Online]. Available
http://www.plant- maintenance.com [2007, July 20]
[3] Pomorski, T. R. (2004) Article of Total Productive
Maintenance (TPM): Concepts and Literature Review.
Brooks Automation, Inc. pp. 1 – 34.
[4] Shirose, K. (1992). TPM for Operators. Portland, OR.
Productivity Press.
APPENDIX
Figure 3: Side View Dimensions
Figure 2: Front View Dimensions