Displaying publications 1 - 20 of 39 in total

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  1. Prasetyo YT, Garcia MM, Dewi RS, Chuenyindee T, Kurata YB, Widia M
    Work, 2022;73(4):1307-1324.
    PMID: 36057804 DOI: 10.3233/WOR-210662
    BACKGROUND: The manufacturing industry is one of the catalysts for the Philippines. However, this sector is one of the most dangerous industries in the Philippines considering the frequency of occupational injuries.

    OBJECTIVE: To determine the primary and root causes of recorded accidents, demographics of the person involved, and solutions to prevent the recurrence of certain accidents.

    METHODS: This study analyzed 185 occupational injury cases in a food and beverage manufacturing company in the Philippines from January to December 2018. A comprehensive classification system was established to examine and code each case in terms of age, gender, working shift, employee type, tenure, department, category, activity during the accident, root cause of injury, injury classification, direct cause of injury, type of injury, part of body injured, agent of injury, and location of the accident. Cramer's V analysis and Phi coefficient analyses were employed on the subject cases to determine the significant factors and the corresponding extent of significance.

    RESULTS: The results showed that the majority of the occupational injuries were caused by stepping on, striking against, or stuck by objects (77 cases, 41.6%), caught in between (34 cases, 18.4%), fall (34 cases, 18.4%), and exposure or contact with extreme temperatures (24 cases, 13%). Interestingly, female workers who had accidents were more likely due to inadequate hazard information or lack of procedures whereas male workers were more likely due to failure to secure. The prevention measures such as passive safeguards and personal protective equipment, pictograms, and regular safety audits were derived from the results of these analyses.

    CONCLUSIONS: This study is the first comprehensive analysis of occupational injuries in the food and beverage industry in the Philippines. The findings can be applied to positively influence the effectiveness of prevention and rehabilitation programs mitigating workplace injuries and illnesses.

    Matched MeSH terms: Manufacturing Industry
  2. 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
  3. Yap HJ, Taha Z, Dawal SZ, Chang SW
    PLoS One, 2014;9(10):e109692.
    PMID: 25360663 DOI: 10.1371/journal.pone.0109692
    Traditional robotic work cell design and programming are considered inefficient and outdated in current industrial and market demands. In this research, virtual reality (VR) technology is used to improve human-robot interface, whereby complicated commands or programming knowledge is not required. The proposed solution, known as VR-based Programming of a Robotic Work Cell (VR-Rocell), consists of two sub-programmes, which are VR-Robotic Work Cell Layout (VR-RoWL) and VR-based Robot Teaching System (VR-RoT). VR-RoWL is developed to assign the layout design for an industrial robotic work cell, whereby VR-RoT is developed to overcome safety issues and lack of trained personnel in robot programming. Simple and user-friendly interfaces are designed for inexperienced users to generate robot commands without damaging the robot or interrupting the production line. The user is able to attempt numerous times to attain an optimum solution. A case study is conducted in the Robotics Laboratory to assemble an electronics casing and it is found that the output models are compatible with commercial software without loss of information. Furthermore, the generated KUKA commands are workable when loaded into a commercial simulator. The operation of the actual robotic work cell shows that the errors may be due to the dynamics of the KUKA robot rather than the accuracy of the generated programme. Therefore, it is concluded that the virtual reality based solution approach can be implemented in an industrial robotic work cell.
    Matched MeSH terms: Manufacturing Industry/education; Manufacturing Industry/methods*
  4. 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*
  5. 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*
  6. Oo, Z., Sujan, D., Rong Kimberly, F. P
    MyJurnal
    Aluminium titanate (AT) (Al2TiO5) is a promising engineering material because of its low thermal expansion coefficient, excellent thermal shock resistance, good refractoriness and non-wetting with most metals. Functionally graded material (FGM) is generally a particulate composite with continuously varying volume fractions. FGMs are alternative materials for dental implants, building materials and ballistic protection. It has been of great interest to future engines, internal combustion engines, metal cutting and other high temperature engineering application. There has been a demand for an adequate disc brake that requires less maintenance in the automotive manufacturing industry. FGM, the next evolution of layered structure, consists of graded compositions that are dispersed across the ceramic which produces a gradual improvement in the properties across the ceramic at a steady pace.
    Matched MeSH terms: Manufacturing Industry
  7. Omar, Naja Nadiera, Iskandar Shahrim Mustafa, Nurhayati Abdullah, Rokiah Hashim
    MyJurnal
    Phenol Formaldehyde (PF) resin has been extensively used in the manufacturing industry as a binding agent, especially in the production of wood-based panels because of its ability to provide good moisture resistance, exterior strength and durability as well as excellent temperature stability. However, due to the use of limited petroleum-based phenol in its formulation, there is a strong interest in exploring renewable biomass material to partially substitute the petroleum-based phenol. In this study, the slow pyrolysis of biomass decomposition process was used to convert two types of biomass, namely, oil palm frond and Rhizophora hardwood, into bio-oil. The phenol-rich fraction of the bio-oil was separated and added into the formulation of PF resin to produce an environmentally-friendly type of PF resin, known as bio-oilphenol-formaldehyde (BPF) resin. This BPF resin was observed to have comparable viscosity, better alkalinity, improved non-volatile content and faster curing temperature than conventional PF resin. Moreover, the particleboard bonded with this BPF resin was observed to have just as excellent bonding strength as the one bonded using conventional PF resin. However, the BPF resin exhibited an increased level of free formaldehyde and less thermal stability than the conventional PF resin, probably due to the addition of the less reactive bio-oil.
    Matched MeSH terms: Manufacturing Industry
  8. 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
  9. 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
  10. 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
  11. Shudipta Choudhury
    MyJurnal
    Background: Technological diversity management in the manufacturing of advanced medical devices is
    essential. The manufacturing industries of medical devices should act in accordance with the technical
    guidelines and regulations in order to ensure best practices with the use of devices in hospitals
    Aim: To explore safety hazards, cost implications, and social and ethical standards to be considered during
    the manufacturing of advanced medical devices
    Subject and Methods: Aqualitative descriptive study was used. There was no targeted sample in the current
    study whereby secondary data were used to explore the research topic. Secondary sources were obtained
    from databases including EBSCOHOST, PubMed, ProQuest, Science Direct, and Google Scholar. Peerreviewed
    articles, journals, books, conference proceedings, and other web publications were used to gather
    relevant data.
    Results: The current study indicated that the technological diversity management of advanced medical
    devices is associated with safety hazards like security threats, integrity problems, and medical errors. The
    study also showed that high cost of standardizations, supply, and purchase of advanced medical devices is a
    huge burden faced by the manufacturers andusers. The study showed that the regulation of the medical
    devices, certification, and post-market surveillanceare essential social and ethical considerations during the
    manufacturing process of the new medical devices.
    Conclusion: The current study explored the technological diversity of advanced medical devices. It is
    evident in the current study that technology diversity of medical devices is associated with safety hazards
    and cost implications. The study disclosed that taking into account social and ethical issues aid in
    manufacturing safe and high quality medical devices.
    Matched MeSH terms: Manufacturing Industry
  12. 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
  13. Nurul Nadiah Abdul Halim, S. Sarifah Radiah Shariff, Siti Meriam Zahari
    MATEMATIKA, 2020;36(2):113-126.
    MyJurnal
    Preventive maintenance (PM) planning becomes a crucial issue in the real world of the manufacturing process. It is important in the manufacturing industry to maintain the optimum level of production and minimize its investments. Thus, this paper focuses on multiple jobs with a single production line by considering stochastic machine breakdown time. The aim of this paper is to propose a good integration of production and PM schedule that will minimize total completion time. In this study, a hybrid method, which is a genetic algorithm (GA), is used with the Monte Carlo simulation (MCS) technique to deal with the uncertain behavior of machine breakdown time. A deterministic model is adopted and tested under different levels of complexity. Its performance is evaluated based on the value of average completion time. The result clearly shows that the proposed integrated production with PM schedule can reduce the average completion time by 11.68% compared to the production scheduling with machine breakdown time.
    Matched MeSH terms: Manufacturing Industry
  14. Nuruzzakiyah Mohd Ishanuddin, Ezrin Hani Sukadarin, Hanida Abdul Aziz, Junaidah Zakaria
    MyJurnal
    To investigate the safety climate and knowledge, attitude and practice (KAP) on occupational safety and health (OSH)in the manufacturing industry, also to determine the association between safety climate factors and KAP of safety among manufacturing worker. A cross-sectional study was conducted among 59 respondents from two manufacturing plants located in Gebeng, Kuantan, Pahang. Most of the respondents were Malay (91.5%) and male (96.6%). Participants were administered a set of questionnaires (Cronbach alpha=0.674) that measured the safety climate as perceived by the workers towards their supervisor and KAP of the workers regarding safety-related matters at the workplace. Self-administered questionnaires consisted of 5 points Likert scale used to measure each of the items of safety climate and KAP. The scales for safety climate and KAP were probed using 16 items and 17 items in the questionnaires, respectively. The results were analysed using a non-parametric test, which is Spearman’s rho correlations and descriptive statistics. Bivariate analysis was performed. There was a moderate positive correlation between safety climate and KAP domains (Spearman’s rho: 0.581, p
    Matched MeSH terms: Manufacturing Industry
  15. 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
  16. Roseni Abdul Aziz, Mat Rebi Abdul Rani, Jafri Mohd Rohani, Ademola James Adeyemi
    MyJurnal
    Studies have identified working postures as a major risk factors associated with Work-related musculoskeletal disorders (WMSD) in industries. This study investigated the prevalence of WMSD among assembly workers in Malaysia and how psychosocial factors such as personal values and workers relationship with family and superior are associated with discomfort and pain. A survey was conducted among 127 workers at assembly process in the manufacturing industry. The workers were aged 28.74±6.74 years and 64.6% of them were males. Analysis of Variance (ANOVA) was used to determine the effect of workplace factors on WMSD at different body regions. Spearman’s rank correlation was used to investigate association between psychosocial factors and occurrence of discomfort and pain. Only occupation and job activities revealed any significant different with WMSD in the major body regions while there was no significant difference in gender, age and work duration classifications. Shoulder painis the most prevalent in terms of frequency and intensity of occurrence. Psychosocial issues that have to do with person values, effect of job on family relationship and workers rapport with superiors are all found to be associated with the discomfort and pain among the occupational group. Employers and concerned government agencies need to take more proactive steps in tackling the problem as the occurrence of WMSD will have a significant effect on the overall wellbeing of the working population.
    Matched MeSH terms: Manufacturing Industry
  17. Wai Onn Hong
    MyJurnal
    Malaysia’s palm oil industry is growing in complexity and successively to succeed on the global level by accounts for about 36% of the word production of palm oil [1]. But, Occupational Health and Safety (OHS) issues are still problematic areas that need to be addressed by all parties concerned in this industry. In the olden days, unlike construction or manufacturing industry, palm oil industry was green in OHS management system. However, due to stringent in the legislative enforcement in the past few years, it has lead some of the plantation companies to develop OHS management system, which are based on Occupational Health and Safety Assessment Series (OHSAS), towards corporate sustainability. Sustainability is not about paying lip-service to the latest corporate buzzword; neither is it about superficially meeting minimum requirements for the sake of compliance. Rather, sustainability is a core value that lies at the heart of the companies’ business conduct. In practical terms, this means strive to operate with due consideration for the interest of all stakeholders by making the health and safety of all workers a priority. This paper describes the certification of OHSAS 18001 and MS 1722 in Genting Plantations Berhad (GENP) prove the commitment to sustainability by forming guiding principle on safety management. Further, this paper also demonstrates that the implementation of safety management can help to reduce the accident rate, especially fatal accident.
    Matched MeSH terms: Manufacturing Industry
  18. Saad Mohd Said, Zairihan Abdul Halim, Fatimah Said
    MyJurnal
    This study analyzes the determinants of workplace injuries across 44 four-digit manufacturing industries in Malaysia from 1993 to 2008 through the business cycle and structural approaches. The results of fixed-effects estimations revealed that workplace injuries in Malaysian manufacturing sector were negatively influenced by firm size and positively influenced by business cycle. Consistent with the findings of previous studies in other countries, the empirical evidence of this study supports the pro-cyclical behavior of injury rates in manufacturing industries towards business cycle. The analysis demonstrates that both structural and cyclical variation effects are important determinants of workplace injuries in Malaysia.
    Matched MeSH terms: Manufacturing Industry
  19. 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
  20. Siti Suhaili Shahlan, Mimi H. Hassim, Kamarizan Kidam, Haszlee Mohd Safuan, Norasikin Othman, Adnan Ripin, et al.
    MyJurnal
    According to annual reports from the Social Security Organization (SOCSO), between years 2009 and 2011,
    metal industry has the highest reported number of accidents compared to the other manufacturing industry in small
    and medium enterprises (SMEs). Therefore, the aim of this study was to investigate the actual causes of problems that
    lead to the accidents involving metal industries within SMEs. In this study, a checklist through site visits was used to
    collect the data. The overall results revealed that the main causes of accidents are; organization failure, human factor,
    machine failure and surrounding environments.
    Matched MeSH terms: Manufacturing Industry
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