Mohamad Shaiful Ashrul Ishak
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Preferred name
Mohamad Shaiful Ashrul Ishak
Official Name
Mohamad Shaiful Ashrul, Ishak
Alternative Name
Ishak, M. S.A
Ishak, Mohamad Shaiful Ashrul
Shaiful, A. I.M.
Main Affiliation
Scopus Author ID
57214125417
Researcher ID
FBZ-1767-2022

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Thermal Properties of the Graphene Oxide (GO) Reinforced Epoxy Composites (Thermal Adhesive Liquid Type): Application of Thermal Interface Materials

2021-01-01 , Mohamed M. , Mohd Nazri Omar , Mohamad Shaiful Ashrul Ishak , Rahman R. , Hamid M.F. , Kataraki P.S. , Azhar A.B.M.

Epoxy mixed with others filler for thermal interface material (TIM) has been well researched. There are some issues occurs when epoxy is used as matrix material likes non-uniform thickness of thermal interface material produce, time taken for solidification and others. New high-performance phase change material (PCM) using graphene as main material to overcome the existing problem and at the same time to increase thermal conductivity. Three types of composite graphene were used for thermal interface material in this research. The sample that contain 10, 20 and 30 wt. % of graphene was used with different contain of graphene oxide (GO). The thermal conductivity of thermal interface material is both measured and it was found that the increase of amount of graphene used will increase the thermal conductivity of thermal interface material. The highest thermal conductivity is 12.8 W/(mK) with 30 w.% graphene. The comparison between the present thermal interface material and other thermal interface material show that this present graphene composite is a commendable thermal interface material in increasing thermal conductivity and reducing thermal contact resistance.

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A Monte Carlo simulation for a variable-value stream mapping (V-VSM) and risk assessment - failure mode and effect analysis (RA-FMEA); a case study

2023 , Mohd Shihabudin Ismail , Mohamad Shaiful Ashrul Ishak , Muhammad Iqbal Muhammad Hussain

Value Stream Mapping (VSM) is one of the most used lean manufacturing methods for determining cycle time (CT) and lead time (LT) in the process flow from customer order to shipment. Value-added (VAA) and non-value added (NVAA) events in the flow must be defined and noted in the VSM. However, there are only a few studies that take risk management into account when calculating lead times. Variable VSM (V-VSM) will be used in this report, with (minimum, most-likely(mean), maximum) values for each CT/LT and Risk Assessment-Failure Mode and Effect Analysis (RA-FMEA) for all risks reported. For a more accurate result, the model will be simulated using Monte Carlo simulation with@Risk software. Prior to the simulation, each process must be described by the best-fit probability distribution. The (minimum, most-likely(mean), maximum) time values of total CT/LT and Risk that the management should consider when preparing the raw material order, VAA/NVAA activities in the production line, Work in Progress (WIP), process layout and shipment schedule are the results of this analysis. For management, the current and future VSMs could be finalized, displaying all relevant variables. This model will be tested in a small and medium food manufacturing facility that produces mixed powder drinks. However, the emphasis of this paper will be on the Monte Carlo simulation using@Risk software based on V-VSM and RA-FMEA model created.

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A case study of industry 4.0 adoption for the manufacturing SMEs in Malaysia - Are we ready?

2021-05-03 , Azhar M.N. , Mohd Nazri Omar , Mohamad Shaiful Ashrul Ishak

In Malaysia, the manufacturing SME's competitiveness plays a vital role in boosting the economy. The SMEs manufacturers need to react according to the changes driven by the Industry 4.0 concepts, which now become imperative for the manufacturers to improve their global competitiveness. To compete globally and aligning with the Industry 4.0 implementation, each SMEs can adopt by participating through the Industry4WRD readiness assessment (RA) program organized by the Ministry of International Trade and Industry (MITI). Hence, the main objective for this paper is to conduct a case study to assess the current readiness levels of the SMEs, and to examine the relationship of various shift factors, thrust, and dimensions representing the key variables towards defining the Industry 4.0 readiness profile for the selected manufacturing SMEs. This paper presented and discussed RA case study methodology and processes of applying the Industry4WRD RA model to help the SMEs to identify the current baseline, gaps, and area for improvement plan towards Industry 4.0 full-scale implementation. The study has identified two manufacturing companies identified as SMEs A and SMEs B, which fall according to the SMEs definition by SME Corporation of Malaysia but in two different business portfolio in order to be able to gauge and compare the results quantitatively. The results will also focus on the qualitative finding of the Industry 4.0 strategy dimension between the two samples SMEs as a comparison and reference for future improvement and study.

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The effect of graphene on thermal interface material in term of thermal conductivity

2020-01-08 , Mohamed M. , Mohd Nazri Omar , Mohamad Shaiful Ashrul Ishak , Rozyanty Rahman , Nor Zaiazmin Yahaya , Lazim M.A.S.M. , Beleed A.E. , Janvekar A.A. , Rizman Z.I.

Thermal interface material (TIM) had been well conducted and developed by using several material as based material. A lot of combination and mixed material were used to increase thermal properties of TIM. Graphene prove to be one of the best material that have highest thermal conductivity in the world. In this studied, the effect of graphene as based material was used to increase thermal conductivity in thermal interface material. The sample that contain varies weight ratio of graphene were used in this studied. The thermal conductivity of thermal interface material is both measured and it was found that the higher wt. % of graphene can increase higher thermal conductivity. The highest thermal conductivity is 21.6 W/ (mK) with 50 wt. % graphene meanwhile at 10 wt. % of graphene can only produce 5.4 W/ (mK thermal conductivity).

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Implementation of Industry4WRD readiness assessment (RA) model for industry 4.0

2021-05-03 , Azhar M.N. , Mohd Nazri Omar , Mohamad Shaiful Ashrul Ishak

Industry4WRD readiness assessment (RA) model is one of the Industry 4.0 readiness assessment and maturity models that help manufacturing industry companies to identify gaps and improvement plan to implement the Industry 4.0 concepts. Industry4WRD is also in line with other global implementation initiatives and has the potential to be one of the practical worldwide guidelines and standards for the future of the Industry 4.0 implementation. Since 2015, there are various Industry 4.0 readiness assessment and maturity models were introduced, and Industry4WRD RA model is still a new model released in 2018. This paper discussed the methodology and processes of applying the Industry4WRD RA model to help manufacturing companies identify the current gaps and areas for improvement plan towards Industry 4.0. For implementation purposes, one of the manufacturing small-medium enterprise (SME), was selected to illustrate the methodology and processes for assessing the respective dimensions during a mock-up exercise. The designed rubrics with a description of criteria to facilitate the processes and methods are demonstrated with the computation of the final results, and the Industry 4.0 readiness profile been concluded.

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Simulation of a propose new model that integrate variable value stream mapping with a risk assessment tool

2023 , Mohd Shihabudin Ismail , Mohamad Shaiful Ashrul Ishak , Muhammad Iqbal Muhammad Hussain , Amir Yazid Bin Ali

There are limited studies being done that include risk assessment when calculating lead time in manufacturing process. This study proposes a model that integrates Variable VSM (V-VSM) with Risk Assessment- Failure Mode and Effect Analysis (RA-FMEA). Each process needs to define the best fit probability distribution. Value Stream Mapping (VSM) was used in determining total throughput time, cycle time (CT) and lead time (LT). Information on Value added activities (VAA) and Non-value-added activities (NVAA) within the process need to be identified and mentioned prior to VSM analysis. Monte Carlo simulation with @Risk software was then used for the model. The simulated result produces values for (minimum, most-likely(mean), maximum) time values of total CT/LT and risk value for management to deploy in planning raw material order, VAA/ NVAA, Work in Progress (WIP), process layout and shipment schedule. Validation of this proposed model was done using a real case study involving a small /medium scale manufacturer producing several mixes of powdered drink. This paper will focus on the modelling of V-VSM and RA-FMEA for Monte Carlo simulation using @ Risk software.

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An Innovative Approach for Natural Gas Liquefaction Using a Mixed-Multi-Component-Refrigerant

2023-01-01 , Ismail N.H. , Mohd Nazri Omar , Mohamad Shaiful Ashrul Ishak , Yahaya N.Z. , Khalid K.A.A. , Ab Halim M.F.M.

The natural gas liquefaction is the most expensive and energy-intensive phase in the natural gas-to-liquefied natural gas-to-natural gas chain. In addition, this region has the biggest development potential. As a result, numerous LNG production methods have been developed and are deployed at export facilities around the world. The goal of this study is to describe and assess an innovative approach for mixed-refrigerant (MR) LNG method. The authors have dubbed this technique the MR-X approach. The MR-X process was developed based on the globally proven liquefaction technology C3MR and its large-scale successor AP-XTM (which offers many benefits and flexibility), but with a novel precooling phase construct. In pre-cooling and liquefaction phases, the refrigerant is a combination of methane, nitrogen, propane, ethane, butane, and isobutane. The paper investigates the creation of the MR-X technology, as well as its modelling, energy, and exergy investigations.

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Advanced value stream mapping: development of a conceptual model considering variability in production processes

2023 , Alaa Salahuddin Araibi , Mohamad Shaiful Ashrul Ishak , Muhanad Hatem Shadhar

Recently, lean manufacturing (LM) practices are being combined with tools and techniques that belong to other areas of knowledge such as risk management (RM). Value stream mapping (VSM) is a well-known tool in showing the value, the value stream, and the flow, which represents the three lean principles. VSM and RM, when used in tandem with one another, are more advantageous in covering VSM issues such as the variability of production processes. In this article, a conceptual model that integrates the two is shown and explained. The model helps to generate scenarios of current state map (CSM) and future state map (FSM) in a dynamic way by identifying current and potential risks. These risks might happen in the future, bringing with it negative ramifications including not reaching the main objectives within the defined time. The model has been tested in a coffee production company belonging to health and food sector. The proposed model specified the ranges of variability through the drawing of CSM and FSM. This is quite a milestone because one of the challenges of VSM is that it is a static tool, and, as such, process variability cannot be captured appropriately. This new model is expected to overcome this drawback.

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Development of variable-line balancing chart by risk assessment using Monte Carlo simulation

2023 , Mohd Shihabudin Ismail , Mohamad Shaiful Ashrul Ishak , Nor Zaiazmin Yahaya , Muhammad Iqbal Muhammad Hussain , Mohd Adzrie Radzali

Line Balancing Chart is one of the most used lean tools for determining cycle time (CT) and lead time (LT) in the production line processes flow, from raw material input until finished product output. However, for traditional Line Balancing Chart, only the average (mean) CT and LT are considered which causing inconsistent performance of the actual production line throughput rate (productivity). In this study, Variable-Line Balancing Chart (V-LBC) is introduced by considering the dynamic CT and LT in a form of (Minimum, Most Likely (mean), Maximum) for each process involved in the production line. The risk assessment for Value-added (VAA) and non-value added (NVAA) events in the flow are also considered for this V-LBC. A Monte Carlo simulation by using @Risk software is utilized to simulate each process CT distribution capability. As a result, each process in the V-LBC could be represented in horizontal and vertical time variables that involve a variable CT (VAA and NVAA) and risk assessment using Risk Assessment-Failure Mode and Effect Analysis (RA-FMEA) approach. The actual root cause led to the process variation also could be identified more accurately from the V-LBC. Hence the correct action could be taken in order to reduce the variation which indirectly increase the production line productivity.

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Comparison between cnt thermal interface materials with graphene thermal interface material in term of thermal conductivity

2020-01-01 , Mohamed M. , Mohd Nazri Omar , Mohamad Shaiful Ashrul Ishak , Rozyanty Rahman , Nor Zaiazmin Yahaya , Abdul Razab M.K.A. , Ahmad Thirmizir M.Z.

Thermal interface material (TIM) had been well conducted and developed by using several material as based material. A lot of combination and mixed material were used to increase thermal properties of TIM. Combination between materials for examples carbon nano tubes (CNT) and epoxy had had been used before but the significant of the studied are not exactly like predicted. In this studied, thermal interface material using graphene and CNT as main material were used to increase thermal conductivity and thermal contact resistance. These two types of TIM had been compare to each other in order to find wich material were able to increase the thermal conductivity better. The sample that contain 20 wt. %, 40 wt. % and 60 wt. % of graphene and CNT were used in this studied. The thermal conductivity of thermal interface material is both measured and it was found that TIM made of graphene had better thermal conductivity than CNT. The highest thermal conductivity is 23.2 W/ (mK) with 60 w. % graphene meanwhile at 60 w. % of CNT only produce 12.2 W/ (mK thermal conductivity).

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