Displaying publications 1 - 20 of 39 in total

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  1. Ahmad A, Lajis MA, Yusuf NK
    Materials (Basel), 2017 Sep 19;10(9).
    PMID: 28925963 DOI: 10.3390/ma10091098
    Solid-state recycling, which involves the direct recycling of scrap metal into bulk material using severe plastic deformation, has emerged as a potential alternative to the conventional remelting and recycling techniques. Hot press forging has been identified as a sustainable direct recycling technique that has fewer steps and maintains excellent material performance. An experimental investigation was conducted to explore the hardness and density of a recycled aluminum-based metal matrix composite by varying operating temperature and holding time. A mixture of recycled aluminum, AA6061, and aluminum oxide were simultaneously heated to 430, 480, and 530 °C and forged for 60, 90, and 120 min. We found a positive increase in microhardness and density for all composites. The hardness increased approximately 33.85%, while density improved by about 15.25% whenever the temperature or the holding time were increased. Based on qualitative analysis, the composite endures substantial plastic deformation due to the presence of hardness properties due to the aluminum oxide embedded in the aluminum matrix. These increases were significantly affected by the operating temperature; the holding time also had a subordinate role in enhancing the metal matrix composite properties. Furthermore, in an effort to curb the shortage of primary resources, this study reviewed the promising performance of secondary resources produced by using recycled aluminum and aluminum oxide as the base matrix and reinforcement constituent, respectively. This study is an outline for machining practitioners and the manufacturing industry to help increase industry sustainability with the aim of preserving the Earth for our community in the future.
    Matched MeSH terms: Manufacturing Industry
  2. Ahmad S, Wong KY, Butt SI
    Environ Sci Pollut Res Int, 2023 Mar;30(15):43068-43095.
    PMID: 35904736 DOI: 10.1007/s11356-022-22172-z
    Due to significant requirement of energy, water, material, and other resources, the manufacturing industries significantly impact environmental, economic, and social dimensions of sustainability (triple bottom-line). In response, today's research is focused on finding solution towards sustainable manufacturing. In this regard, sustainability assessment is an essential strategy. In the past, a variety of tools was developed to evaluate the environmental dimension. Because of this fact, previous review studies were grounded mostly on tools for green manufacturing. Unlike previous review articles, this study was aimed to review and analyze the emerging sustainability assessment methodologies (published from 2010 to 2020) for manufacturing while considering the triple bottom-line concept of sustainability. In this way, the paper presents a decade review on this topic, starting from 2010 as the guidelines for the social dimension became available in 2009. This paper has analyzed various methods and explored recent progress patterns. First, this study critically reviewed the methods and then analyzed their different integrating tools, sustainability dimensions, nature of indicators, difficulty levels, assessment boundaries, etc. The review showed that life cycle assessment and analytic hierarchy process-based approaches were most commonly used as integrating tools. Comparatively, still, environmental dimension was more commonly considered than economic and social dimensions by most of the reviewed methods. From indicators' viewpoint, most of the studied tools were based on limited number of indicators, having no relative weights and validation from the experts. To overcome these challenges, future research directions were outlined to make these methods more inclusive and reliable. Along with putting more focus on economic and social dimensions, there is a need to employ weighted, validated, and applicable indicators in sustainability assessment methods for manufacturing.
    Matched MeSH terms: Manufacturing Industry*
  3. Darajeh N, Idris A, Fard Masoumi HR, Nourani A, Truong P, Rezania S
    Int J Phytoremediation, 2017 May 04;19(5):413-424.
    PMID: 27748626 DOI: 10.1080/15226514.2016.1244159
    Artificial neural networks (ANNs) have been widely used to solve the problems because of their reliable, robust, and salient characteristics in capturing the nonlinear relationships between variables in complex systems. In this study, ANN was applied for modeling of Chemical Oxygen Demand (COD) and biodegradable organic matter (BOD) removal from palm oil mill secondary effluent (POMSE) by vetiver system. The independent variable, including POMSE concentration, vetiver slips density, and removal time, has been considered as input parameters to optimize the network, while the removal percentage of COD and BOD were selected as output. To determine the number of hidden layer nodes, the root mean squared error of testing set was minimized, and the topologies of the algorithms were compared by coefficient of determination and absolute average deviation. The comparison indicated that the quick propagation (QP) algorithm had minimum root mean squared error and absolute average deviation, and maximum coefficient of determination. The importance values of the variables was included vetiver slips density with 42.41%, time with 29.8%, and the POMSE concentration with 27.79%, which showed none of them, is negligible. Results show that the ANN has great potential ability in prediction of COD and BOD removal from POMSE with residual standard error (RSE) of less than 0.45%.
    Matched MeSH terms: Manufacturing Industry
  4. Deros, B.M., Khamis, N.K., Ismail, A.R., Ludin, A.
    MyJurnal
    Introduction : Shift work is practised in manufacturing industry to increase production capacity up to three times compared to the normal daily eight hours working system and able to optimize the utilization of machine and equipment. However, shift work has negatif effects on human social interaction, health and safety.
    Methodology : The study was conducted to evaluate production workers’ perception on the effects of working at night shift. The respondents of the study were production workers in Company X in Kuala Lumpur. The Data was collected using self administered questionnaires. The study objectives was to study the work schedule design, to find out their perceptions on the effects of night shift and to study on personal factors, employees’ level of acceptance on the work schedule design and personal factors that cause safety and health disruption.
    Result : A total of 200 production workers participated in the study. The result of the study shows 61% of production workers took sick leave and 43.5% were absent between 1 and 2 times a month. In terms of health and safety disruption, 77% of respondents agreed that they faced lack of focus with family and friends, 75.5% of them did not have enough sleep and 76.5% felt sleepy during working time. Regarding the work schedule and workstation design, 81.5% said they felt uncomfortable because they were required to stand during working and 77% felt that the resting period provided by the factory was too short and inadequate. More than 70% of the respondents proposed the rest period should be extended from the current 40 minutes to one hour. More than 80% of respondents agreed they would feel comfortable if standing at work is changed to sitting work system.
    Conclusion : To minimize the unwanted effect of night shift among the production.
    Matched MeSH terms: Manufacturing Industry
  5. Devaraj, V., Zairossani, M.N.
    ASM Science Journal, 2012;6(1):15-21.
    MyJurnal
    Malaysia is the world’s top manufacturer of examination and surgical natural rubber (NR) gloves, exported mainly to the USA and Europe. The glove manufacturing process yields effluent which must be treated to comply with the stringent regulatory requirements imposed by the Malaysian Department of Environment. To make glove manufacturing an eco-friendly process, efforts are geared towards minimizing and utilizing waste or converting it into raw material for making value-added products. Waste generated from the glove industry is mainly rubber sludge which is obtained from the chemical flocculation stage of the effluent treatment process and consists of mainly rubber, remnants of compounding ingredients and water. R&D work by the Malaysian Rubber Board on waste utilization and resource recovery investigations have revealed many uses for this sludge. This paper briefly outlines only one of the many options available, which is the conversion of the sludge into sludge derived fuel (SDF). Preliminary study has identified three formulations of SDF with calorific values (CV) exceeding 16 000 kJ/kg, matching a good grade coal. This was considered as promising results which warrant explorative work for further increasing the CV of SDF to turn it into a viable fuel substitute in the latex products manufacturing industry and subsequently apply for a Clean Development Mechanism status to generate income.
    Matched MeSH terms: Manufacturing Industry
  6. Durairaj, R., Leong, K.C., Chia Wea, L., Wong, M.C.
    ASM Science Journal, 2011;5(2):109-114.
    MyJurnal
    Lead-free solder paste printing processes account for the majority of assembly defects in the electronic manufacturing industry. In the stencil printing process, the solder paste must be able to withstand low and high shear rates which result in continuous structural breakdown and build-up. This study investigated the effect of the addition of nickel and platinum powders to the thixotropic behaviour of lead-free Sn/Ag/Cu solder pastes using the structural kinetic model. A hysteresis loop test and constant shear test were utilized to investigate the thixotropic behaviour of the pastes using parallel plate rheometry at 25ºC. In this study, the shear rates were increased from 0.01 s–1 to 10 s–1 and the second curve was a result of decreasing the shear rate from 10 s–1 to 0.01 s–1. For the constant shear test, the samples were subjected to five different shear rates of 0.01s–1, 0.1s–1, 1s–1, 10s–1 and 100s–1. The constant shear rate test was designed to study the structural breakdown and build-up of the paste materials. From this investigation, the hysteresis loop test was shown to be an effective test method to differentiate the extent of structural recovery in the solder pastes. All the pastes showed a high degree of shear thinning behaviour with time. This might be due to the agglomeration of particles in the flux that prohibited paste flow under low shear rate. The action of high shear rate would break the agglomerates into smaller pieces which facilitated the flow of pastes, thus viscosity was reduced at high shear rate.
    Matched MeSH terms: Manufacturing Industry
  7. Farah Elida Selamat, Rozli Zulkifli
    MyJurnal
    Acoustics issues such as noise in the workplace remains one of the most prevalence occupational hazard especially in
    the manufacturing industry with heavy machineries. Increasing mechanization in all industries and most trades has
    since proliferated the noise problem. In Malaysia, much has been studied and is known about the auditory effects of
    noise. However less attention has been given to the non-auditory effects of noise such as annoyance, stress, and work
    performance, and concern about such effects is a relatively recent phenomenon. In view of this, this study aims to
    determine the level of noise from different type of machines and tools in a manufacturing plant and also the effects
    of noise to the employees. A structured questionnaire was used to assess the effects of noise on the workers and
    sound level meter was used to measure the noise level at selected work areas. The results of this study showed that
    nearly all the identified work areas exceeded the action level of 85 dB(A) and four of these areas noise levels’ are
    more than 90 dB(A) which is the permissible exposure limit according to the Factories and Machinery (Noise
    Exposure) Regulations 1989. For the questionnaire, it was found that annoyance topped the noise effects list with
    51.4%, followed by stress with 40.0%, hearing deterioration (14.3%) and job performance deterioration (2.9%). As a
    conclusion, noise control or preventive measures are suggested in order to minimize the health risks from noise
    exposure.
    Matched MeSH terms: Manufacturing Industry
  8. Fazeli, A., Bakhtvar, F., Jahanshaloo, L., Nor Azwadi, C. S.
    MyJurnal
    Evidence on rising global temperature, melting of ice caps, and withdrawal of glaciers
    brings attentions to the enhancement of energy efficiency in energy intensive industries. Having a
    realistic comparison between one plant and the best practice technology (BPT) in operation in the field
    helps significantly to distinguish and diagnose the potentials where measures towards energy efficiency
    improvement would be applicable. In this regard, for manufacturing industries, one of the most widely
    used energy benchmarking tools is the Energy Benchmark Curve. An energy benchmark curve plots the
    efficiency of plants as a function of the total production volume from all similar plants or as a function
    of the total number of plants that operate at that level of efficiency or worse. This paper reviews the
    methodology through which the benchmark curve is obtained for a specific industry followed by a
    comparison of energy intensity for the iron and steel industry among China and the US. According to
    the international energy benchmark curve for the iron and steel industry, the savings potentials per ton
    of crude steel for the US. and China have been respectively 4.1 and 7.1 gigajoule comparing with the
    BPT in the field. Finally, an overview over certain measures to enhance efficiency of such plants is
    presented.
    Matched MeSH terms: Manufacturing Industry
  9. Han YW, Mohammad M, Liew SM
    Asian Pac J Cancer Prev, 2014;15(17):7287-90.
    PMID: 25227830
    BACKGROUND: Brief physician counselling has been shown to be effective in improving smokers' behaviour. If the counselling sessions can be given at the workplace, this would benefit a larger number of smokers. This study aimed to determine the effectiveness of a ten-minute physician counseling session at the workplace in improving smoking behaviour.

    MATERIALS AND METHODS: This prospective randomised control trial was conducted on smokers in a factory. A total of 163 participants were recruited and randomised into control and intervention groups using a table of random numbers. The intervention group received a ten-minute brief physician counselling session to quit smoking. Stages of smoking behaviour were measured in both groups using a translated and validated questionnaire at baseline, one month and three months post intervention.

    RESULTS: There was a significant improvement in smoking behaviour at one-month post intervention (p=0.024, intention to treat analysis; OR=2.525; CI=1.109-5.747). This was not significant at three-month post intervention (p=0.946, intention to treat analysis; OR=1.026; 95% CI=0.486-2.168).

    CONCLUSIONS: A session of brief physician counselling was effective in improving smokers' behaviour at workplace, but the effect was not sustained.

    Matched MeSH terms: Manufacturing Industry*
  10. Handoyo RD, Ibrahim KH, Rahmawati Y, Faadhillah F, Ogawa K, Kusumawardani D, et al.
    PLoS One, 2024;19(1):e0296431.
    PMID: 38165859 DOI: 10.1371/journal.pone.0296431
    This study explores the determinants of the export performance of Indonesia's low-, medium-, and high-technology manufacturing industries by focusing on the role of raw-material imports and technical efficiency. Micro firm-level data from 2010-2015 were utilized for the analysis in this study. The stochastic frontier analysis was employed to measure technical inefficiency and to determine its effect on export performance. Our findings indicate that in all categories of industry technical efficiency, raw materials imports, foreign direct investment (FDI), location, firm size, labour productivity, and concentration of industries were significant determinants of export performance. While high efficiency increases exports in low- and medium-technology firms, exports decrease in firms with high efficiency accompanied by high imports, FDI, size, and labour productivity. Furthermore, in high-technology industries, efficiency reduces exports and again increases them when mediated by a concentration of industries and location. The empirical strategy also supports the positive effect of imports on export performance in both industries, which also aligns with decreased exports in firms with high imports accompanied by high FDI, efficiency, labour productivity, the concentration of industries, and size. To this end, the study has implications for low-, medium-, and high-technology manufacturing that are mainly concerned with increasing exports.
    Matched MeSH terms: Manufacturing Industry*
  11. Hariri A, Mohamad Noor N, Paiman NA, Ahmad Zaidi AM, Zainal Bakri SF
    Int J Occup Saf Ergon, 2018 Dec;24(4):646-651.
    PMID: 28849717 DOI: 10.1080/10803548.2017.1368950
    Welding operations are rarely conducted in an air-conditioned room. However, a company would set its welding operations in an air-conditioned room to maintain the humidity level needed to reduce hydrogen cracks in the specimen being welded. This study intended to assess the exposure to metal elements in the welders' breathing zone and toenail samples. Heavy metal concentration was analysed using inductively coupled plasma mass spectrometry. The lung function test was also conducted and analysed using statistical approaches. Chromium and manganese concentrations in the breathing zone exceeded the permissible exposure limit stipulated by Malaysian regulations. A similar trend was obtained in the concentration of heavy metals in the breathing zone air sampling and in the welders' toenails. Although there was no statistically significant decrease in the lung function of welders, it is suggested that exposure control through engineering and administrative approaches should be considered for workplace safety and health improvement.
    Matched MeSH terms: Manufacturing Industry
  12. Jafri Mohd Rohani, Hood Atan, Wan Harun Wan Hamid, Mohamed Fitri Johari, Edly Ramly
    MyJurnal
    This objective of the study is to estimate occupational accident cost in manufacturing industries, especially in
    wood based related industries. The study attempts to identify, define, and classify the cost components of occupational
    accident related cost and to catalogue the various economic approaches used to estimate the entire costs of occupational
    accident and to propose the risk prevention plan. The study uses local specific approach by reviewing company
    historical records on occupational accident as reported in JKKP 6, JKKP 8, JKKP 9 and company internal investigation
    reports. For each occupational accident, the site safety officer in charge, human resource and, account employee,
    supervisor, victim, related co-workers and relatives were interviewed in order to estimate direct costs, indirect costs,
    prevention costs and other personal cost related to the accident. Other related information such as personal data of the
    victim, type of injuries, location of injuries and cause of injuries were recorded. A total of 24 occupational accidents
    data for the past five years were analyzed in the cost of accident summary report to determine the overall ratio of direct
    to indirect cost and ratio of total cost of accident to prevention cost. A further analysis was carried out to determine
    the most significant cost of accident related to demographic profiles for Malaysian and Non Malaysian employees. In
    conclusion, this study has determined the ratio of direct to indirect cost of occupational accident and has proposed the
    risk prevention plan with additional information on cost of accident and cost of prevention.
    Matched MeSH terms: Manufacturing Industry
  13. Jafri Mohd Rohani, Hood Atan, Wan Harun Wan Hamid, Mohamed Fitri Johari, Wan Lokman Wan Bedurdin, Hafizah Ithnin
    MyJurnal
    Currently accident cost calculations involve lengthy process of data collection procedures. Accident cost
    calculations can be categorized into direct and indirect costs. Many manufacturing industries are having difficulties
    in identifying and quantifying the accident cost category. Besides, it involves manual data collection which is time
    consuming and has high tendency to make errors throughout the process. The data collection process also involves
    various parties. For example, getting direct cost data from human resource department while indirect cost data need
    to be obtained from manufacturing and safety department. The objective of this study is to propose Web-Based
    interactive Accident Cost Calculator (WBACC) for manufacturing industries. This WBACC has two options; option
    1: calculations based on input data at the time of accident. Option 2: calculations based on historical data such as
    previous accident records. Option 1 is much simpler because it only requires accident demographic data while option
    2 is much more complex. However, option 2 is more accurate compared to option 1. This proposed WBACC can be
    used by safety and health practitioners to convince their top management in making decisions especially on safety
    budget allocation.
    Matched MeSH terms: Manufacturing Industry
  14. Kaur S, Mursyid A, Ariffin AE
    MyJurnal
    A study was undertaken to determine the effect of polyethylene and polystyrene used in the manufacture of plastic items on colour perception. Colour vision was assessed using the Ishihara plates, panel 015 test and the Farnsworth Munsell 100-Hue test. Two factories were chosen at random. One factory (referred here as factory A) used virgin resin in pellet form (polyethylene) in the manufacturing of plastic containers to store consumer edible oil. The other factory (referred as factory B) used polystyrene to make plastic bags. A total of 39 healthy employees from factory A (mean age 26.4 :t 8.2 years) and 40 healthy employees from factory B (mean age 26.8 :t 9.6 years) were recruited in this study. A control group of 27 normal healthy subjects (mean age 27.4 :t 4.3 years) who were employees of UKM with no occupational involvement with petroleum derivatives were also recruited in this study and they performed the same colour vision tests. All subjects passed the Ishihara plates test showing that none of the subjects (employees of factory A and B, and control subjects) had a congenital red-green defect. All control subjects passed all of the colour vision tests whilst some employees of factories A and B failed the 015 and FM100 Hue tests. For employees from factory A results from the 015 test showed that 7 (17.9%) had a tritan (blue-yellow) type of defect and 1 (2.6%) had a complex type of defect. The FM 100 Hue results of factory A employees showed that 51.3% (n=20) had a complex type of defect. Total error scores (TES) calculated from the FM 100 Hue test revealed that employees from factory A had a statistically significant higher mean TES of 65.13:!: 48.31 compared to that of control subjects with a mean TES of 31.26:!: 14.93. For employees in factory B, 10 employees (25.0%) had a tritan (blue-yellow) type of defect and 2 (5.0%) had a complex type of defect. Results of the FM 100 Hue test showed that 4 employees (1.0%) had a tritan type of defect whereas 22 (55.0%) had a complex type of defect. Mean total error scores (TES) calculated from the FM 100 Hue test revealed that employees from factory B had a statistically significant higher mean TES of 71.54 :t 54.63 compared with that of control subjects with a mean TES of 31.26 :t. 14.93

    The above results show that employees of the plastic factories studies are associated with a higher risk of acquiring colour vision defects as compared to normal subjects who are not engaged in the plastic manufacturing industry. This may have an implication towards the future retinal health of employees in petrod1emical-based industries.
    Matched MeSH terms: Manufacturing Industry
  15. Lee S, Abdullah A, Jhanjhi N, Kok S
    PeerJ Comput Sci, 2021;7:e350.
    PMID: 33817000 DOI: 10.7717/peerj-cs.350
    The Industrial Revolution 4.0 began with the breakthrough technological advances in 5G, and artificial intelligence has innovatively transformed the manufacturing industry from digitalization and automation to the new era of smart factories. A smart factory can do not only more than just produce products in a digital and automatic system, but also is able to optimize the production on its own by integrating production with process management, service distribution, and customized product requirement. A big challenge to the smart factory is to ensure that its network security can counteract with any cyber attacks such as botnet and Distributed Denial of Service, They are recognized to cause serious interruption in production, and consequently economic losses for company producers. Among many security solutions, botnet detection using honeypot has shown to be effective in some investigation studies. It is a method of detecting botnet attackers by intentionally creating a resource within the network with the purpose of closely monitoring and acquiring botnet attacking behaviors. For the first time, a proposed model of botnet detection was experimented by combing honeypot with machine learning to classify botnet attacks. A mimicking smart factory environment was created on IoT device hardware configuration. Experimental results showed that the model performance gave a high accuracy of above 96%, with very fast time taken of just 0.1 ms and false positive rate at 0.24127 using random forest algorithm with Weka machine learning program. Hence, the honeypot combined machine learning model in this study was proved to be highly feasible to apply in the security network of smart factory to detect botnet attacks.
    Matched MeSH terms: Manufacturing Industry
  16. Lee, Siew Yi, Janna Ong Abdullah
    MyJurnal
    Widespread applications of phenol in manufacturing industries and oil refineries had resulted in unprecedented leakage of phenol into the environment, which can cause serious health effects such as tissue necrosis and cardiac arrhythmia upon contact or ingestion. Plants exposed to phenol had reduced seed germination index, inhibited growth or even fatality. There are many technologies currently practised to remediate phenol pollution such as physiochemical methods (adsorption to activated carbon and chemical oxidation), biological methods (biodegradation by bacteria or fungus, and soil bioaugmentation), and phytoremediation method (using hairy roots of plants). As physiochemical and microbial phenol degradation are destructive and costly, phytoremediation is widely studied as an alternative phenol remediator which is environmental friendly and cost effective. Microorganisms can detoxify the aromatic xenobiotic through the aerobic or anaerobic pathway. Aerobic degradation of phenol is through either the meta- or ortho-pathway of catechol cleavage while anaerobic degradation occurs through the benzoate pathway. In plants, degradation of phenol is also through catechol cleavage as in microorganisms. However, different enzyme systems were utilised in the different pathways involved.
    Matched MeSH terms: Manufacturing Industry
  17. Li, Sa Lau, Talwar, P.Y., Shahren Ahmad Zaidi Adruce, Yin, Bee Oon
    MyJurnal
    Perceived work environment could be described as the opinions and attitudes of workers towards their work condition. Elements of perceived work environment such as physical environment, supportive work environment, and perceived work tasks may possibly be important factors that influence the occurrence of accidents. The objective of this study is to examine the relationship between perceived work environment and the occurrence of accidents within an electronic manufacturing industry in Kuching, Sarawak. A cross-sectional survey utilizing a bilingual self-report questionnaire was conducted to garner data from 50 workers. Independent t-test and Pearson moment correlation were used to assess data. The results indicated that the occurrence of accidents was not affected by age group. Although physical environment and perceived work tasks did not demonstrate significant relationships with the occurrence of accidents, supportive work environment exhibited a significant inverse relationship, thereby indicating that accidents could be lowered in the presence of higher supportive work environment. Thus, support and help from co-workers are essential determinants of safety at the workplace.
    Matched MeSH terms: Manufacturing Industry
  18. Loo HS, Yeow PH
    Appl Ergon, 2015 Nov;51:383-91.
    PMID: 26154237 DOI: 10.1016/j.apergo.2015.06.007
    The research aims to address the physically loading task and quality and productivity problems in the brazing of coils of air-handler units. Eight operators participated in two intervention studies conducted in a factory in Malaysia to compare the status quo brazing with (1) the use of a new twin-brazing torch that replaced the single-brazing gun and (2) brazing in a sitting position. The outcome measures are related to quality, productivity, monetary costs, body postures and symptoms. After baseline, Interventions I and II were applied for 3 months respectively. The results show a 58.9% quality improvement, 140% productivity increase and 113 times ROI. There was also a reduction in poor work postures e.g. in the raising of the arms and shoulders; bending, twisting and extending of the neck; and bending of left and right wrists, and the back. This research can be replicated in other factories that share similar processes.
    Matched MeSH terms: Manufacturing Industry/economics; Manufacturing Industry/methods*; Manufacturing Industry/standards
  19. Nadia Abdul Rani, Faieza Abdul Aziz, Rohidatun M,W.
    MyJurnal
    Interactive learning is a pedagogical model that encourages students to be part of the lesson instead of passive observers, quietly sitting at a desk taking notes or memorizing information. Students interact with the material, each other and the teacher in an active way. The new emerging technologies that can overcome some of the potential difficulties in this area includes computer graphics, augmented reality, computational dynamics, and virtual worlds. Therefore, the manufacturing industry relies on new design concepts and methods undertake the challenges in integrating technologies to expedite the march towards industrial revolution 4.0.This paper reviews and investigates the current context of the use of interactive learning such as Virtual Reality(VR),Augmented Reality(AR),Computer aided design and manufacturing(CADCAM), computer graphics, computational dynamics and new emerging technologies that effect on students and lectures in learning and teaching environments for Manufacturing Engineering. Interactive learning is part of the factors that could influence the self-learning and regulations environments.
    Matched MeSH terms: Manufacturing Industry
  20. Nguyen HT, Dawal SZ, Nukman Y, Rifai AP, Aoyama H
    PLoS One, 2016;11(4):e0153222.
    PMID: 27070543 DOI: 10.1371/journal.pone.0153222
    The conveyor system plays a vital role in improving the performance of flexible manufacturing cells (FMCs). The conveyor selection problem involves the evaluation of a set of potential alternatives based on qualitative and quantitative criteria. This paper presents an integrated multi-criteria decision making (MCDM) model of a fuzzy AHP (analytic hierarchy process) and fuzzy ARAS (additive ratio assessment) for conveyor evaluation and selection. In this model, linguistic terms represented as triangular fuzzy numbers are used to quantify experts' uncertain assessments of alternatives with respect to the criteria. The fuzzy set is then integrated into the AHP to determine the weights of the criteria. Finally, a fuzzy ARAS is used to calculate the weights of the alternatives. To demonstrate the effectiveness of the proposed model, a case study is performed of a practical example, and the results obtained demonstrate practical potential for the implementation of FMCs.
    Matched MeSH terms: Manufacturing Industry*
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