Mohd Fidzwan Md Amin Hamzas, EncikThis page provides access to scholarly publication by UniMAP Faculty members and researchershttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/433082024-03-29T07:19:11Z2024-03-29T07:19:11ZMinimization on warpage defect in injection molding part of ABS (Acrylonitrile Butadiene Styrene) material by using design of experiment (DOE)Radhwan, HussinMohd Fidzwan, Md Amin HamzasAhmad Nabil, Mohd Khalilhttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/443312016-12-03T04:41:56Z2014-11-01T00:00:00ZMinimization on warpage defect in injection molding part of ABS (Acrylonitrile Butadiene Styrene) material by using design of experiment (DOE)
Radhwan, Hussin; Mohd Fidzwan, Md Amin Hamzas; Ahmad Nabil, Mohd Khalil
Every plastic part that undergoes the plastic injection molding process will have the behaviour of warpage when it has cooled after injection process. It needs a proper way of controlling the rate of warpage, so it is between the accepted ranges. This paper research about a minimization on warpage defect in injection molding part of ABS (Acrylonitrile Butadiene Styrene) material by using Design of Experiment (DOE). The part chosen is from company which had a critical issue of warpage on one of the part produced. The approach of Taguchi method is applied for the optimization of process parameters selected which is the mold temperature, melt temperature, packing pressure, packing time, and cooling time. For this purpose, Moldflow Plastic Insight (MPI) software is used for the simulation of injection molding process. The number of simulation is based on the three level of L27 Taguchi Orthogonal Array (OA). The Minitab software is used to analyzed the result where the the S/N (signal-to-noise) ratio and analysis of variance (ANOVA) is utilized to see the most significant factors contribute to warpage. The confirmation test shows the best combination of process parameters using the Taguchi approach to minimize the warpage on the part.
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2014-11-01T00:00:00ZMathematical model of productivity with reliability and losses parameters for serial structure linear production automated flow line: a simulation analysisSin, Tan ChanUsubamatov, RyspekFairuz, M. A.Mohd Fidzwan, Md. Amin Hamzashttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/442252016-11-30T04:58:04Z2014-01-01T00:00:00ZMathematical 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.
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2014-01-01T00:00:00ZEngineering mathematical analysis method for productivity rate in linear arrangement serial structure automated flow assembly lineChan Sin, TanUsubamatov, RyspekFairuz, M.A. ,Mohd Fidzwan, Md. Amin HamzasKin Wai, Lowhttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/442242016-11-30T04:25:40Z2015-01-19T00:00:00ZEngineering 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.
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2015-01-19T00:00:00ZProductivity theory for industrial automated linesUsubamatov, RyspekTan Chan, SinMohd Fidzwan, Md. Amin Hamzashttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/440662016-11-18T03:37:58Z2013-01-01T00:00:00ZProductivity theory for industrial automated lines
Usubamatov, Ryspek; Tan Chan, Sin; Mohd Fidzwan, Md. Amin Hamzas
The basic attributes of any industrial machines and systems are productivity rate and quality of products. Attributes of productivity are related to the theory of reliability let alone the theory of efficiency of machines. Publications in area of productivity of the industrial systems enable to write the productivity theory for the industrial machines and systems. This theory shows the links between productivity, reliability, technological and technical parameters and the structure of machines with complex designs. Automated production lines are considered industrial systems for the collection of serial and parallel stations arranged according to a certain structure that depends on a technological process of machining parts. Manufacturers require correct and clear mathematical models to calculate the productivity of the automated lines with high accuracy. The mathematical models for productivity rate of industrial systems with complex design define their structures according to the level of output. This paper presents an analytical approach to the productivity rate of automated lines with stations and mechanisms that display different failure rates and processing times. The typical designs of industrial automated lines are considered by three types of structure: multi-station s automated line of serial, parallel action and serial-parallel action. All designs can be presented using linear, circular and rotary arrangements. The analytical equations allow for the output of the automated lines to be modeled with different failure rates for the stations and mechanisms yielding results close to the actual productivity values.
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2013-01-01T00:00:00Z