Method of Assessing the Number of Technicians in Service of Manufacturing System
-
R. Usubamatov
and
R. Bhuvenesh
Abstract
Productivity rate of manufacturing systems depends on technology, reliability of machinery, management, etc. The main attribute of machine’s reliability, which is availability plays important role for determination of the number of technicians that support the workability of the multi-stations the manufacturing system. The random downtimes of the productive machines have probabilistic nature. Failures of machines can coincide that lead to increasing downtimes and decreasing output of machinery. Practically, a technician conducts repairs of failures for one machine, but at the same time other failed machines can be in downtime until the failed machine in servicing. This situation leads to increase idle time of machines and hence a manufacturing system. How many machines should be in service by one technician is typical problem for industries. The proposed paper is represented the mathematical method with probabilistic approach for determining the number of technicians for servicing the manufacturing systems with minimum downtimes.
Acknowledgment
The authors would like to thank the University Malaysia Perlis for granting this research and express respect to governing body for their strategic policy in scientific researches.
Nomenclature
- A
Availability
- P
Probability of event
- R
Probability of a work per some defined time
- f
Correction factor
- g
Number of groups of machines with simultaneous failure
- k
Number of technicians
- mw
Mean time to work
- mr
Mean time to repair
- n
Number of repairs
- q
Number of machines
- qc
Number of machines in service by one technician which failures coincide
- qsr
Number of machines in service by one technician which failures do not coincide
- t
Time
- λ
Failure rate
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©2015 by De Gruyter
Articles in the same Issue
- Frontmatter
- Method of Assessing the Number of Technicians in Service of Manufacturing System
- Magnetorheological Finishing (MRF) of a Freeform Non-magnetic Work Material
- Multioptimization in a Cellular Manufacturing System Having Stochastic Parameters Considering Pricing
- Multi-response Optimization in Machining of GFRP (Epoxy) Composites: An Integrated Approach
- Parameter Optimization of Ball End Milling Process on Inconel 718 Using RSM and TLBO Algorithm
- Parametric Study of Pulsed CO2 Laser Surface Treatment of Alumina Ceramics
- RSM Based Investigations on the Effects of Cutting Parameters on Surface Integrity during Cryogenic Hard Turning of AISI 52100
Articles in the same Issue
- Frontmatter
- Method of Assessing the Number of Technicians in Service of Manufacturing System
- Magnetorheological Finishing (MRF) of a Freeform Non-magnetic Work Material
- Multioptimization in a Cellular Manufacturing System Having Stochastic Parameters Considering Pricing
- Multi-response Optimization in Machining of GFRP (Epoxy) Composites: An Integrated Approach
- Parameter Optimization of Ball End Milling Process on Inconel 718 Using RSM and TLBO Algorithm
- Parametric Study of Pulsed CO2 Laser Surface Treatment of Alumina Ceramics
- RSM Based Investigations on the Effects of Cutting Parameters on Surface Integrity during Cryogenic Hard Turning of AISI 52100
