Tan Chan Sin, Ts. Dr.
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/43680
This page provides access to scholarly publications by UniMAP Faculty members and researchers.2023-02-05T04:41:14ZMathematical model of productivity with reliability and losses parameters for serial structure linear production automated flow line: a simulation analysis
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/44225
Mathematical model of productivity with reliability and losses parameters for serial structure linear production automated flow line: a simulation analysis
Sin, Tan Chan; Usubamatov, Ryspek; Fairuz, M. A.; Mohd Fidzwan, Md. Amin Hamzas
Industrial automated production flow line focus on productivity assessment and analysis since it present an important indicator of company profit and performance. Serial structure of production automated flow line widely implement in automated production sector for mass production. High accuracy yield of mathematical model of productivity is important for forecast work to increase the profits of company. This paper presents application of Witness software simulation for mathematical model of productivity with different reliability level of workstations and mechanisms, bottleneck machining time, and defected parts parameters for serial structure automated to validate this mathematical model which produce higher accuracy forecast result compare to current mathematical model of productivity which not consider few of productivity losses parameters. Validation through software simulation for mathematical model is important since there is lack of simulation for this model in current research for mathematical model. The simulation result for model is show higher accuracy which near to actual simulation productivity and the current mathematical model is replace by mathematical model with different reliability level for productivity forecast in academic and industries due to accuracy reason.
Link to publisher's homepage at http://www.praiseworthyprize.org
2014-01-01T00:00:00ZEngineering mathematical analysis method for productivity rate in linear arrangement serial structure automated flow assembly line
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/44224
Engineering mathematical analysis method for productivity rate in linear arrangement serial structure automated flow assembly line
Chan Sin, Tan; Usubamatov, Ryspek; Fairuz, M.A. ,; Mohd Fidzwan, Md. Amin Hamzas; Kin Wai, Low
Productivity rate (Q) or production rate is one of the important indicator criteria for industrial engineer to improve the system and finish good output in production or assembly line. Mathematical and statistical analysis method is required to be applied for productivity rate in industry visual overviews of the failure factors and further improvement within the production line especially for automated flow line since it is complicated. Mathematical model of productivity rate in linear arrangement serial structure automated flow line with different failure rate and bottleneck machining time parameters becomes the basic model for this productivity analysis. This paper presents the engineering mathematical analysis method which is applied in an automotive company which possesses automated flow assembly line in final assembly line to produce motorcycle in Malaysia. DCAS engineering and mathematical analysis method that consists of four stages known as data collection, calculation and comparison, analysis, and sustainable improvement is used to analyze productivity in automated flow assembly line based on particular mathematical model. Variety of failure rate that causes loss of productivity and bottleneck machining time is shown specifically in mathematic figure and presents the sustainable solution for productivity improvement for this final assembly automated flow line.
Link to publisher's homepage at https://www.hindawi.com
2015-01-19T00:00:00ZMathematical models for the productivity rate of automated lines with different failure rates for stations and mechanisms
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/44223
Mathematical models for the productivity rate of automated lines with different failure rates for stations and mechanisms
Usubamatov, Ryspek; Sin, Tan Chan; Ahmad, R.
Automated lines with complex structures consist of stations and mechanisms with different levels of reliability. Most of the publications that present mathematical models for productivity of multi-station automated lines are based on simplifications that enable researchers to derive the approximate equations of productivity. This simplification is accepted in a form in which all stations in the automated lines are characterised by one level of reliability and the balancing of technological processes on the stations is conducted evenly. This approach yields simplified mathematical models for the productivity rate of the automated lines, but the results of these calculations are different from the actual productivity. Manufacturers require robust and clear mathematical models that enable them to calculate and predict productivity of the automated lines with high accuracy. High accuracy of mathematical model of prediction yield is important to meet customer demand. Profit of a company would decrease due to inaccurate prediction of production which does not meet demand. This paper presents an analytical approach to the productivity rate of automated lines with stations and mechanisms that each display different failure rates and processing times. The mathematical models allow for the output of the automated lines to be modelled with different failure rates for the stations and mechanisms and yields results that are close to the actual productivity values.
Link to publisher's homepage at http://link.springer.com/
2016-01-01T00:00:00ZOptimization of multi-tool machining processes with simultaneous action
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/44222
Optimization of multi-tool machining processes with simultaneous action
Usubamatov, Ryspek; Zuraidah, Mohd Zain; Sin, Tan Chan; Kapaeva, S.
The optimization of machining parameters for machine tools using the criterion of maximum productivity rate is complex and, in many cases, an unresolved issue. The intensification of machining processes leads to changes in the productivity rate. In the case of multi-tool machining processes, engaging cutters simultaneously to define optimal machining parameters for the maximum productivity rate is an important problem. Such multi-tool processes are conducted in multi-spindle and multi-station machine tools, turret-type lathes, automated lines, etc. This paper is intended to formulate a mathematical model for the optimization of multi-tool cutting processes on machine tools based on the criterion of maximum productivity rate. The mathematical model of the new productivity rate equation (for machine tools with changes in cutting for the optimal multi-tooling operation with simultaneous action) is confirmed by practical test.
Link to publisher's homepage at http://link.springer.com/
2016-02-01T00:00:00Z