- Open Access
- Authors : Daniel Kiptoo Arusei , Stephen M. Talai , Lazarus K. Limo
- Paper ID : IJERTV9IS070317
- Volume & Issue : Volume 09, Issue 07 (July 2020)
- Published (First Online): 20-07-2020
- ISSN (Online) : 2278-0181
- Publisher Name : IJERT
- License: This work is licensed under a Creative Commons Attribution 4.0 International License
TPM-based Focused Breakdown Reduction Strategy in Industry
Daniel Kiptoo Arusei
Department of Mechanical and Production Engineeing, Moi Univerity, Eldoret Kenya
Stephen M. Talai, Lazarus K. Limo
Department of Mechanical and Production Engineering, Moi University, Eldoret, Kenya
Abstract Current trends in many Industries is to shift from traditional maintenance methods to implementing Total Productive Maintenance (TPM Its ultimate goal is to increase reliability and availability and the way to accomplish it is through elimination of major losses; resulting from mechanical nature that are visualized by the Overall Equipment Effectiveness (OEE) tree. The main Key performance indicators for this research are; OEE, Mean Time Before Failure (MTBF), Mean Time To Repair (MTTR) and Breakdown Percentage. Therefore, this paper provides a review of the available approaches for lean-TPM implementation in industry, with specific emphasis on breakdown reduction. The gains in productivity or effectiveness were achieved only through measures in TPM, mainly the Preventive Maintenance (PM) pillar, and not harder labor. The approaches used in achieving these goals included; Autonomous maintenance, Continuous improvement, Root cause analysis for failure, Preventive maintenance among others
Keywords Total Productive Maintenance Overall Equipment Effectiveness, Breakdown reduction, Mean Time Before Failure.
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INTRODUCTION
For decades, industrial and other organizations concentrated most of their attention on production, generally ignoring the maintenance function. Recently there has been a gradual attitude change in how general corporate managers view the maintenance function (Peterson, 2013). One of the most important factors forcing this change was that maintenance departments became major cost centers within the organizations. Today with general operating costs rising at the rate of 10% each year, there is the potential for the realization of significant savings in the maintenance department that deserves serious scrutiny (Bruce, 2011).
Lean manufacturing is an approach in manufacturing that aims to improve product quality and output, reduce costs, and eliminate all possible waste. This is achieved through Total Productive Maintenance (TPM). Early automobile manufacturing had sparked the creation of lean manufacturing. John Krafcik and Taiichi Ohno had combined the necessary criteria in order to create the Toyota Production system (TPS). This combination includes the skill and knowledge with the standardization of the work involved in TPS.
Efficiency of the moving assembly line was also emphasized including the concept of teamwork. (Womack et al., 1990). The term Lean Production System was introduced by John Krafcik in 1998 in his review of the TPS; while Womack et al. (1990) had popularized the term of Lean Manufacturing. Regularly, lean manufacturing is always related with benefits
such as increased quality, reduced inventories, increased customer satisfaction, increased flexibility, and reduced manufacturing times (Womack and Jones, 1996; Ross and Francis, 2003; Alavi, 2003). It is difficult to convince the managers and employees to think and act in a different way. It is also difficult to manage external relationships with the suppliers and customers. Customers may be unable to place predictable orders, causing the organisation fail in preparing the inventory to meet demand. While on the suppliers side, they may find it hard to deliver subassemblies or a small quantity of parts (Womack and Jones, 1994).
Lean production optimizes the skills of the workforce through encouraging continuous improvement activities including integrating direct and indirect work and giving workers more than one task. Therefore, manufacturing a large variety of products can be carried out with lean production.
Ireland and Dale (2001) carried out a study on three different companies to determine the effectiveness of TPM implementation in real situations. It consisted of a UK plant with a wide range of rubber products (Company A), a packaging company (Company B), and motorized vehicles manufacturing company (Company C). These were selected due to differences in their background such as number of employers, machinery used, organisational structure, and strategic objectives. The differences affected the TPM method of implementation in each company.
Chan, et. al. (2005) studied an electronic manufacturing company to see whether TPM implementation is worth a move for any company. The general aim of this project was to know effectiveness and difficulties in TPM implementation.
Eti et. al (2004) focused on how manufacturing industries in Nigeria can implement TPM by researching on their problems and shortcomings with the old traditional ways of maintenance. This way, the manufacturing industries can use this recommendation and suggestion as prerequisites before implementing TPM in their company.
Friedli et al. (2010) recorded that a pharmaceutical manufacturing company increase their OEE from 36% in 2004 to 51% in 2009. In Friedli et al. (2010) case study, the main problem was the result of direct stoppage and breakdowns in the production. This unplanned maintenance work suggests that TPM implementation was not in its full potential as the autonomous maintenance activity should reduce on this kind of losses.
Daniel Ottosson (2009), studied the initiation of TPM in a pilot line of German automobile company. The study showed
remarkable improvements in OEE and the productivity per man hour.
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MAINTAINANCE PRACTICES
There is an important goal in lean manufacturing practice which is to become highly responsive to customer demand with the production of high quality products. This goal has to be carried out in the most efficient and economical method which are by reducing various waste in inventory, human effort, manufacturing space, and time to market. To make this happen, elimination of all kind of waste is essential. Waste exists in many forms and can be spotted at any place and in any time of operations. It does not add any value to the product. On the contrary, it will only consume the resources. Total Productive Maintenance is based on a combination of the concepts of Productive Maintenance (PM), Maintenance Prevention (MP) and Maintainability Improvement (MI). This shows where its coming from and the direction it is supposed to take. It could be explained as being Productive Maintenance with the complete involvement of all parties (Nakajima, 1995).
To understand the principle of TPM, a more detailed explanation is necessary. Nakajima uses five main points to explain TPM:
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The goal of TPM is the maximisation of overall effectiveness. This serves the purpose of achieving machines running at their intended capacity without unplanned interruptions.
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TPM establishes a system for productive maintenance during the entire lifespan of the equipment. As reason would suggest, a machine tends to break down more towards its later days. Therefore, TPM aims to continuously keep machines in good shape and even facilitate maintenance.
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Also TPM should be realized in all divisions of a company, so that Engineering, Maintenance, Management divisions as well as the workers on the shop floor pull together.
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TPM is designed to promote Productive Maintenance through motivational management in minor, autonomous groups.
A) TPM Principles
There are five major TPM principles:
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Improving OEE by identifying possible losses of facilities and equipment, and montoring all of them in case of speed losses, defect losses and down-time losses.
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Making front-line asset care as a part of the job: Front-line asset care (Autonomous Maintenance) is carried out by the operator, with support from the maintenance department. The operator should be able to fulfill at least some maintenance tasks including simple repairs, preventive actions and improvements e.g. corrective actions and proposing ways to prevent drawbacks to recur.
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Having a systematic approach towards maintenance activities; This could be done by:
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Defining preventive maintenance for each piece of equipment (Time Based Maintenance- TBM)
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Creating standards for running Condition-Based Maintenance (CBM)
(iii) Defining maintenance responsibilities for operators and maintenance staff
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Operators responsibilities: General care
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Maintenance staff responsibilities: General breakdown activities, supporting operators by training them, problem diagnosis, devising and assessing maintenance practice, developing maintenance actions and continuous up grading of equipment
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In order to thoroughly fulfill their duties and perform all their tasks, the employees need to receive continuous and appropriate training to develop their abilities like hand and operational skills, team working and problem solving.
-
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Early equipment management: Zero maintenance is a concept inducing that failure causes and maintainability of the equipment should be considered during early stages of equipment life span like designing, manufacturing, installation and commissioning.
Therefore, any problem can be tracked back and eliminated at the above-mentioned stages (Thomas R. Pomorski, 2004; Imants BVBA, 2009).
The principles allowing TPM to eliminate losses and maximise productivity are described in the TPM House (Fig 1). It is based on the eight pillars of TPM, defined by the Japan Institute of Plant Maintenance (JIPM)( JIPM Solutions Co., Ltd., 2009).
Fig. 1. The TPM House, based on the eight pillars defined by JIPM.
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Focused Improvement (Kobetsu Kaizen)
This pillar states that small improvements are more effective than just one big improvement if they are continuous and encourage all employees to be involved. It aims to reduce losses that can lower efficiency. Kaizen is applicable in both production and administrative areas.
Kaizen emphasis
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Finding the ways of achieving zero loss in all activities
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Elimination of losses by means of using results of PM analysis widely
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Commitment toward cost reduction for resources
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OEE and OPE improvements
Kaizen strives to make substantial improvements in productivity in forms of efficient equipment, operators and material in addition to energy utilization. Kaizen tries to eliminate six losses, which are described below:
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Equipment failure: Causes production downtime. By cooperation between the maintenance and production departments, equipment failures can be prevented by using, predictive and preventive maintenance, developing operation practices and design changes. Root Cause Failure Analysis
(RCFA) is a technique that is used after a failure occurrence. RCFA aims to eliminate failures and mitigate their impact.
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Time for Setup and adjustments: It includes the time for the warming-up of a machine after its changing over.
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Small stops: These stops last between 5-10 minutes and include minor adjustments and cleaning.
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Speed losses: Several items may result in a machine working at a lower speed than what is determined before. These items can be no matching between machine and its application, inefficiency of the operator, unsuitable machine
Where; GP – Good parts produced.
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METHODOLOGIES FOR TPM BASED FOCUSED BREAKDOWN REDUCTION
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Productivity Model
The productivity model is defined in Fig. 2, capturing all machine parts, possible stops, responsibility and the owner of all stops.
Productivity Model
Total available time (Tat)
Total available time (Tat)
STATUTORY DOWNTIME
STATUTORY DOWNTIME
report_group reason_code reason_desc
Total machine time
Total machine time
Open time (Ot)
Open time (Ot)
ST01 Stattutory Downtime
wear-parts and substandard materials.
-
Losses during warming-up: This includes losses in a quality point of view for products produced during the time of warming-up. (J. Venkatesh, Reliabilityweb.com, 2009)
-
-
Overall Equipment Effectiveness (OEE)
Overall equipment effectiveness allows visualization of machine-related losses. This might seem easy at first, because with a machine theoretically able to run 24 hours a day and
365 days each year we get an amount of products representing the maximum capacity. Due to holidays and managerial decisions as not working on most weekends and so on, the maximum capacity is mostly never exploited (Reitz, 2008).
UNPLANNED DOWN TIME
UNPLANNED DOWN TIME
Therefore, the quotient of the actual numbers of produced units put up against the maximum capacity yields the effectiveness of the equipment during the chosen time period;
STATUTORY
OEE LOSSES
OEE LOSSES
PLANNED DOWNTIME
PLANNED DOWNTIME
PLANNED
BREAKDOWN
SHORT STOP
ST02 No Production needed
PL01 Maintenance
PL02 Machine Cleanouts
PL03 Meetings/Trainings
PL04 Trials / Sensories
PL05 Breaks
MB01 Curved/Straight Chute Assembly
MB02 Cutter Assembly
MB03 Band Drum Assembly
MB04 Ejector Assembly
MB05 Glue Pot Assembly.
MB06 Delivery Chute Assembly
MB07 Electrical Fault
MB08 Heater Gun Assembly.
MB09 Tipping Drum Assembly
MB10 Clutch Assembly
MB11 Machine Drive
MB12 Pellet Conveyer Assembly.
MB13 Truck Assembly
MB14 OVERWrap breakdown
MB15 Tray former breakdowns
MB16 No mechanic.
SS01 Cleaning Rollers.
SS02 Paper Jam.
SS03 Pellet Jam in Chute.
SS04 Jointed Wax Paper.
SS05 Pellet Jam in Tipping Drum.
SS06 Unwind jammed Prelam foil.
SS07 Smashing
OS01 No Materials / Gum
OS02 No Operator
OTHER / EXTERNAL OS03 Power Failure
the overall equipment effectiveness(Reitz, 2008). It is important to keep in mind that the OEE is only a measurement of mechanical components. Therefore all losses, even those influenced by human aspects, such as change-overs, should be considered as the only interest in the OEE is to see whether the equipment runs according to its capability (Reitz, 2008). The basic requirement for a correct
calculation of the OEE is precise data. All mechanical losses need to be recorded for best results.
STOPS
SET UP
SPEED LOSSES
QUALTY LOSSES
OS04 Fire Alarm
OS05 Room Temperature
OS06 Meetings/Trainings
OS07 Power Failure
SU01 Change overs
SU02 Reloading prelaminated foil
SU03 Reloading label Magazine
SU04 Changing Wax Paper.
SU05 Cleaning / Lubrication
SU06 Glue Refiling
SL01 Speed lower than Design
SL02 Factory Bench marks higher speed
SL03 Line Bottle necks
QL01 Trim
QL02 Package waste
QL03 Destroyed Gum
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General Model of OEE calculation.
The formula for the calculation of OEE was developed by JIPM and is a factor from three different rates; namely availability, performance and quality.
= × × × 100% (1)
Where,
AR is the availability rate PR – the performance rate QR – Quality rate.
GOOD PRODUCTION GOOD PRODUCTION VOLUME
VALUE ADDED TIME
VALUE ADDED TIME
VALUE ADDED TIME
VALUE ADDED TIME
TECHNICAL SPEED
Fig. 2. Productivit Model.
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Model Description
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Total available time (Tat)
This refers to the total clock hours available in a shift. For example the day shift in Company X runs from 0800hrs to 1800hrs, giving Tat of 10 hours, whereas night shift starts at
=
=
(2)
1800hrs to 0800hrs giving Tat of 14 hours. In this case the Total available time is equivalent to total machine time (Tmt), since there is no break between shifts.
AT – is the Total available time for production = PPT-DT
PPT – Planned production time DT – Downtime loss
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Open time (Ot)
This is the total time available for production and is normally expressed as Ot=Tmt-planned losses.
-
Statutory Time.
= ×
(3)
This includes all gazetted holidays, planned offs and scheduled shutdowns.
Where; ICT – Ideal cycle time, is the quickest time at which the machine could produce a single part.
PP – Total parts produced inclusive of defective
parts
= (4)
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Planned downtime
These are times planned into the production schedule, for example meetings, planned maintenance, machine cleanouts, breaks and trials.
-
Unplanned downtimes.
These include breakdowns, short stops, external stops (like power outages, Fire incidents, sick offs and others), Set up
times necessitated by product change, speed losses and quality losses.
-
Value added time.
This time constitutes the total open time less planned and unplanned downtimes.
-
-
Performance metrics.
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Condition, Inspection and Lubrication Checklist
1. =
(5)
-
Standard Asset Effectiveness (SAE) = Vat ÷ Tmt (6)
-
Total Asset Effectiveness (TAE) = Vat ÷ Tat (7)
-
Saturation Index = Tmt ÷ Tat (8)
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Mean Time to Repair
MTTR was calculated using the formula shown in equation
-
below.
Fig. 5 Condition, Inspection and Lubrication Checklist
-
-
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Spare Parts Catalogue
PK 1.8 CATEGORIZED SPARE PARTS
Manufacturer/
-
Mean Time Before Failure
(9)
PK 1.8 Machines Manufacturer/ machinist machinist
MTBF was calculated using the formula shown in equation
-
below.
PK 14-1 Paper cutter head 1 To use old 1 0
LOWER CORK ROLLER AND CUTTER ASSEMBLY
LOWER CORK ROLLER AND CUTTER ASSEMBLY
# of parts
Stock in
needed for the ssembley
Stock material
QTY
Kiesta
mechanical Standard Engineering Eng
Part #
Parts Description
in assembly
Hands
unit @
To order
Nairobi
# of parts
Stock in
needed for the ssembley
Stock material
QTY
Kiesta
mechanical Standard Engineering Eng
Part #
Parts Description
in assembly
Hands
unit @
To order
Nairobi
PK 14-2 Cork roller bearing bracket RH 1 available 1 0
PK 14-3 Cork roller bearing bracket LH 1 3 available 48.28 48.28
PK 14-4 Cork roller bearing mounting shaft 1 available 1 0
PK 14-5 Coork roller spare sleeve 3 available 3 0
step
step description
sub-step description
1
Identify breakdown types
1. set up a data collection system
2. analyse historical data & set performance indicators
3. deploy breakdowns & carry out a pareto analysis
2
Restore basic conditions in critical areas & set standards
1. identify critical areas
2. perform initial cleaning & tagging
3. manage the tags
4. define & implement cleaning, inspection &
lubrication standards
5. restore all the operating standards
3
Attack repetitive breakdowns
1. define the failure modes in important areas
2. carry out 5why analysis on failure modes
3. define countermeasures
4. implement countermeasures
5. establish a monitoring system for reoccurences
4
Highlight the causes of sporadic breakdowns
1. introduce a new breakdown definition to improve the data collection system
2. introduce the breakdown analysis sheet
3. define the system to support it
4. train all the relevant operators & maintenance technicians
5. implement the system & continously follow-up
analyses and results
5
Define preventive maintenance plans
1. summarise causes & countermeasures from breakdown analysis
2. implement actions & countermeasures
3. set the planned maintenance system
4. set the machine board
step
step description
sub-step description
1
Identify breakdown types
1. set up a data collection system
2. analyse historical data & set performance indicators
3. deploy breakdowns & carry out a pareto analysis
2
Restore basic conditions in critical areas & set standards
1. identify critical areas
2. perform initial cleaning & tagging
3. manage the tags
4. define & implement cleaning, inspection &
lubricatin standards
5. restore all the operating standards
3
Attack repetitive breakdowns
1. define the failure modes in important areas
2. carry out 5why analysis on failure modes
3. define countermeasures
4. implement countermeasures
5. establish a monitoring system for reoccurences
4
Highlight the causes of sporadic breakdowns
1. introduce a new breakdown definition to improve the data collection system
2. introduce the breakdown analysis sheet
3. define the system to support it
4. train all the relevant operators & maintenance technicians
5. implement the system & continously follow-up
analyses and results
5
Define preventive maintenance plans
1. summarise causes & countermeasures from breakdown analysis
2. implement actions & countermeasures
3. set the planned maintenance system
4. set the machine board
-
-
Breakdown reduction Master Plan
Fig. 3 TPM Breakdown Master Plan
-
Standards Developed.
(i) One point Lessons
(10)
PK 14-6 Cork roller link space collar 2 2 available 277.4 554.8
PK 14-7 Cork roller link end space 1 1 0 2,500.00
PK 14-8 Cork roller angle link 3 available 468.75 1406.25 3,800.00
PK 14-9 Cork roller plain link 3 3 0 2,800.00
PK 14-10 Cork roller bushing 6 47 available 186.12 1116.72
PK 14-11 Cork roller spring bar 3 available 3 0
PK 14-12 cork roller shaft (Short) 3 43 available 14,008.50 42025.5
PK 14-13 Cork roller shaft screw 3 2 available 274.5 1 823.5
PK 14-14 Cork roller (Recessed) 3 available 3 0
PK 14-15 Cork roller driven gear 3 12 available 2,000.00 6000
PK 14-16 Cork roller coil spring 3 15 available 425.35 1276.05
PK 14-17 Cork roller shaft (Long) 1 8 10,186.01 10186.01
PK 14-18 Cork roller bearing (RH) 1 available 1 0
PK 14-19 Cork roller bearing (LH) 1 4 available 4,297.50 4297.5
PK 14-20 Paper feed stop reverse ratchet 1 5 available 3,800.00 3800
PK 14-21 Cork roller sub-assembly 1 16 46,911.18 46911.18
PK 14-22 Cork roller end driving gear 2 10 225.4 450.8
PK 14-23 Cork roller centre driving gear 1 15 3,411.47 3411.47
PK 14-24 Cork roller lange spacer 1 available 1 0
Fig. 6 Spare Parts Catalogue
-
Production Log Sheet.
Fig. 7 Production Log Sheet
MAIN LOSS AREAS
LUBRICATION
ELECTRICAL
INSPECTION ON ASSEMBLIES
TIGHTENING
MAIN LOSS AREAS
LUBRICATION
ELECTRICAL
INSPECTION ON ASSEMBLIES
TIGHTENING
-
Skill Gap analysis Sheet
NAME ROLE LEVEL
Curved/Straight Chute Assembly
Curved/Straight Chute Assembly
Cutter Assembly
Cutter Assembly
Band Drum Assembly
Band Drum Assembly
Ejector Assembly
Ejector Assembly
Glue Pot Assembly.
Glue Pot Assembly.
Delivery Chute Assembly
Delivery Chute Assembly
Electrical System
Electrical System
Heater Gun Assembly.
Heater Gun Assembly.
Tipping Drum Assembly
Tipping Drum Assembly
Clutch Assembly
Clutch Assembly
Machine Drive
Machine Drive
Pellet Conveyer Assembly.
Pellet Conveyer Assembly.
Timing.
Timing.
Track Assembly
Track Assembly
Smashing
Smashing
TIPPING DRUM/STRAIGHT CHUTE
TIPPING DRUM/STRAIGHT CHUTE
BAND / HEATER GUN
BAND / HEATER GUN
LUBRICANT SELECTION & STORAGE
LUBRICANT SELECTION & STORAGE
PURPOSE AND APPLICATION
PURPOSE AND APPLICATION
CAM LUBRICATION
CAM LUBRICATION
BUSHES LUBRICATION
BUSHES LUBRICATION
CENTRAL LUBRICATION
CENTRAL LUBRICATION
CHAINS LUBRICATION
CHAINS LUBRICATION
HEATING SYSTEM/ SEALING
HEATING SYSTEM/ SEALING
INTERLOCKS
INTERLOCKS
PELLET DETECTION
PELLET DETECTION
NIPPER SPRING TENSIONS
NIPPER SPRING TENSIONS
LOOSE BOLTS AND SCREWS
LOOSE BOLTS AND SCREWS
WEAR OF MACHINED PARTS
WEAR OF MACHINED PARTS
MOTORS AND GEAR BOXES
MOTORS AND GEAR BOXES
GENEVA MECHANISM
GENEVA MECHANISM
CHAINS AND SPROCKETS
CHAINS AND SPROCKETS
BELTS
BELTS
ROLLERS FOR FREE ROTATION BEARINGS FOR FREE ROTATION
ROLLERS FOR FREE ROTATION BEARINGS FOR FREE ROTATION
LOOSE BOLTS ,SCREWS
LOOSE BOLTS ,SCREWS
TENSION LIMITS
TENSION LIMITS
TENSIONING OF BELTS & CHAINS
TENSIONING OF BELTS & CHAINS
TOOLS SELECTION
TOOLS SELECTION
JOB PRIORITISATION
JOB PRIORITISATION
PERCENTAGE
PERCENTAGE
GAP
GAP
Fig.12 Skill Gap analysis Sheet
Fig. 4 One Point Lesson.
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-
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RESULTS AND DISCUSSION
The results as discussed as follows:
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OEE Trends with Time.
Fig. 8 OEE Tree Trends
Fig. 9 OEE Vs Breakdowns
From Figure 8 we can deduce that the OEE of Wm. Wrigley Company PK Line 6 is significantly increasing from 64.7% in October to 74.8% in February. The main contributor to OEE increase was the reduction in breakdowns and Speed losses. The reduction in speed losses was attributed to the use of modular parts which ensured that the pulley running the drive was changed to match the original equipment manufacturer standards (step 2 of Master Plan).
The results herein agrees with the works of Friedli et al. (2010), point of departure being the Focused Breakdown reduction vis a vis Total TPM implementation.
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Variation of MTTR with Time
Fig. 10 MTTR Trends
The major contributors to the reduction in mean time to repair were:
-
The re-arrangement of the spare parts store according to the movement of parts as well as cataloging parts per assembly greatly reduced the time spent by mechanics to find a part in the store (Fig. 6).
-
Development of one point lessons for standard setting of the major assemblies of the machine and tools to use assisted in ensuring a standard way of repair (Fig. 4).
-
Training of both mechanics and operators on machine standards.
-
The Cleaning, inspection and Lubrication checklists assisted in noting possible breakdowns before hand, hence allows for time to prepare to correct the problem. Which agrees with the works of Kamran (Kamran Shahanaghi, 2009).
-
-
Variation of Mean time before Failure (MTBF) with time
Fig. 11 MTBF variation over time.
The mean time between failures initially reduced then increased from the third month onwards. The initial reduction was attributed to the restoration of basic machine conditions in step one and two (Fig.3). This is because during this period, the non standard parts were removed and the original setting of the equipment restored, lubrication, cleaning and inspection checklists had not been introduced into the system and many mechanics and operators had not been trained in the new standards.
-
-
CONCLUSION
From the study, it was concluded that to develop an information system of the company, all intrinsic features of each machine are supposed to be well documented, including machine history with modifications if any are well collated and stored in the machine card. This was well covered under the early equipment maintenance pillar under the TPM pillars. Each of the assemblies and sub-assemblies are to be defined and well coded into the system.
When calculating the performance metrics of a machine, a properly defined productivity model of the same must first be developed. The essence of this is that different machines have different loss types that have to be defined. This can be done through a time study at the shop floor.
In reducing machine breakdowns, a proper systematic way of loss reduction has to be followed as described in Fig 3. The strategy encompasses all aspects of the four Ms, (Man, Machine, Method and Material).
When dealing with man, the strategy has training by utilizing a skill gap analysis (Fig. 12) for both mechanics and operators and defining standard operating procedures for the roles additionally from the root cause analysis, one point lessons are developed to be used as training material.
To reduce time wastage in spare parts management an inventory of all parts was done, and the parts classified according to consumption. A parts catalogue was developed
showing pictures for the most confusing parts with their bin numbers in the store ( Fig 6).
Main Outputs from the Productivity model are Standard reports, the reports from the data collected could be generated shiftly, daily, weekly, monthly and yearly. The reports include: OEE report, Waste report, Engineering loss report, breakdown recurrence report, team reports and others. The variation of the report depends on the query sent to the dbase. The production of these reports aids in team management and encourages competition between teams.
ACKNOWLEDGEMENTS
The author greatly appreciates the support of Moi University, Kenya and Wrigley East Africa Company.
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