Displaying publications 1 - 20 of 39 in total

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  1. 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
  2. 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*
  3. 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
  4. Zyoud SH, Zyoud SH, Al-Jabi SW, Sweileh WM, Awang R
    PMID: 27382475 DOI: 10.1186/s40557-016-0117-0
    BACKGROUND: Recently, the pharmaceutical manufacturing industry has been growing rapidly in many countries in the world, including in Arab countries. Pharmaceuticals reach aquatic environments and are prevalent at small concentrations in wastewater from the drug manufacturing industry and hospitals. Such presence also occurs in domestic wastewater and results from the disposal of unused and expired medicines. Therefore, the objective of this study was to analyze and compare the quantity and quality of publications made by researchers in Arab countries on pharmaceutical wastewater.

    METHODS: To retrieve documents related to pharmaceutical wastewater, we used the Scopus database on November 21, 2015. All documents with terms related to pharmaceutical wastewater in the title or abstract were analysed. Results obtained from Arab countries were compared with those obtained from Turkey, Iran and Israel.

    RESULTS: Globally, a total of 6360 publications were retrieved while those from Arab countries, Iran, Turkey and Israel, were 179, 113, 96 and 54 publications respectively. The highest share of publications belonged to Kingdom of Saudi Arabia (KSA) with a total of 47 (26.2 %) publications, followed by Egypt (38; 21.2 %), Tunisia (17; 9.5 %) and Morocco (16; 8.9 %). The total number of citations was 1635, with a mean of 9.13 and a median (inter quartile range) of 3 (1.0-10.0). The study identified 87 (48.6 %) documents with 32 countries of international collaboration with Arab countries. It was noted that Arab researchers collaborated mainly with authors in Western Europe (54; 30.2 %), followed by authors from the Asiatic region (29; 16.2 %) and Northern America (15; 8.4 %). The most productive institution was King Saud University, KSA (13; 7.3 %), followed by the National Research Centre, Egypt (10; 7.3 %).

    CONCLUSIONS: This study showed that KSA has the largest share of productivity on pharmaceutical wastewater research. Bibliometric analysis demonstrated that research productivity, mainly from Arab countries in pharmaceutical wastewater research, was relatively lagging behind. More research effort is required for Arab countries to catch up with those of non-Arab Middle Easter countries on pharmaceutical wastewater research.

    Matched MeSH terms: Manufacturing Industry
  5. 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*
  6. 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*
  7. Putra MA, Teh KC, Tan J, Choong TSY
    Environ Sci Pollut Res Int, 2020 Aug;27(23):29352-29360.
    PMID: 32440875 DOI: 10.1007/s11356-020-09207-z
    Cement is a vital material used in the construction of concrete buildings. World annual cement demand is increasing rapidly along with the improvement in infrastructure development. However, cement manufacturing industries are facing challenges in reducing the environmental impacts of cement production. To resolve this issue, a suitable methodology is crucial to ensure the selected processes are effective and efficient and at the same time environmentally friendly. Different technologies and equipment have potential to produce variations in operational effectiveness, environmental impacts, and manufacturing costs in cement manufacturing industries. Therefore, this work aims to present the sustainability assessment of cement plants by taking into consideration of environmental, social, and economic impacts. Three cement production plants located in Western Indonesian are used as case studies where social impact and environmental impact are evaluated via life cycle assessment (LCA) model. This model is integrated with analytic hierarchy process (AHP), a multi-criteria decision analysis tool in selecting the most sustainable cement manufacturing plant.
    Matched MeSH terms: Manufacturing Industry
  8. Salleh, R.M., Djauhari, M.A.
    ASM Science Journal, 2012;6(1):1-13.
    MyJurnal
    A monitoring procedure was introduced for process variability in a multivariate setting based on individual observations which was a combination of (i) robust high breakdown point approach in the set-up stage to determine the reference sample and (ii) the use of Wilks chart in the mass production stage. This setting is what the Malaysian manufacturing industry is currently lacking in, especially when a robust approach must be used. The advantage of this procedure was revealed by using the case of a female shrouded connector production process in a Malaysian industry. Moreover, this procedure could also be used in any process quality monitoring and for any industry. A recommendation for quality practitioners was also addressed.
    Matched MeSH terms: Manufacturing Industry
  9. 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
  10. 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
  11. 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*
  12. Nurcahyo R, Zulfadlillah, Habiburrahman M
    Heliyon, 2021 Jan;7(1):e05537.
    PMID: 33506119 DOI: 10.1016/j.heliyon.2020.e05537
    Previous research has emphasized the need to further investigate the impact of ISO 9001 on company performance in the manufacturing sector of developing countries. Indonesia is one of those developing countries where the implementation of ISO 9001 is yet to be adequately researched. The Indonesian automotive manufacturing industry is still unable to compete with Malaysia and Thailand even though many companies have implemented ISO 9001. This study aimed to examine the relationship between ISO 9001 and operational (productivity, customer satisfaction, and product quality) and business (sales growth, profit rate, and market share) performance of Indonesian automotive component manufacturing industries. It also aimed to identify major obstacles in the effective implementation of ISO 9001. Multiple linear regression analyses about operational and business performance were employed for this purpose. The sample size comprised 50 automotive component manufacturing industries located in the Jakarta, Bogor, Tangerang, and Bekasi region of Indonesia. The study demonstrates that the implementation of the ISO 9001:2015 quality management system has a significant positive impact on the operational performance as well as the business performance. Additionally, the operational performance has a significant positive impact on the business performance. This study also reveals the major obstacles in the effective implementation of ISO 9001 in the manufacturing industry, which include a lack of qualified personnel, inadequate training, employee resistance, and lack of commitment among top-level management executives. It offers clear implications for managers who focus on elements that will enhance the effectiveness of ISO 9001 implementation by choosing the correct strategies, allocating sufficient resources, and improving their firm's performance. The novelty of this study lies in filling the existing research gap, which involves a detailed examination of the relationship between the implementation of ISO 9001 and the company's performance, particularly in manufacturing industries of developing countries.
    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. Saedi AM, Majid AA, Isa Z
    Int J Occup Saf Ergon, 2021 Sep;27(3):714-727.
    PMID: 31131712 DOI: 10.1080/10803548.2019.1623454
    Introduction. Demographic information is one of the key parameters that organizations utilize to modify their practices in order to respond to the existing risk within work environments. The present article aims to assess the level of safety climate factors as well as to evaluate the influence of personal factors on safety climate in two different-sized industries. Methods. A total of 216 employees in two large and three small and medium-sized chemical manufacturing industries responded to a questionnaire. Descriptive statistics were used to measure the safety climate level; a two-independent-sample Mann-Whitney U test and a Kruskal-Wallis test were run to compare the difference in safety climate scores among different demographic variables. Results. The lower level of safety climate in small and medium-sized industries revealed lower understanding and performance of management and non-management with regard to safety climate compared to the large industries. Additionally, significant mean differences on some safety climate factors among demographic variables were detected in both sizes of industries, emphasizing the important role of the employees' demographic variables on the plants' safety climate. Conclusion. Improving organization-level and group-level safety climates is recommended to improve employees' level of safety climate and control their personal factors.
    Matched MeSH terms: Manufacturing Industry*
  15. 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
  16. 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
  17. 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
  18. Tawfik A, Bakr MH, Nasr M, Haider J, Mesfer MKA, Lim H, et al.
    Chemosphere, 2022 Feb;289:133166.
    PMID: 34875288 DOI: 10.1016/j.chemosphere.2021.133166
    The sustainable application of an up-flow anaerobic baffled reactor (UABR) to treat real paper and cardboard industrial effluent (PCIE) containing bronopol (2-bromo-2-nitropropan-1, 3-diol) was investigated. At a hydraulic retention time (HRT) of 11.7 h and a bronopol concentration of 7.0 mg L-1, the removal efficiencies of total chemical oxygen demand (CODtotal), CODsoluble, CODparticulate, total suspended solids (TSS), volatile suspended solids (VSS), carbohydrates, and proteins were 55.3 ± 5.2%, 26.8 ± 2.3%, 94.4 ± 4.6%, 89.4 ± 2.6%, 84.5 ± 3.2%, 72.1 ± 1.8%, and 22.4 ± 1.8%, respectively. The conversion of complex organics (e.g., carbohydrates and proteins) into bio-methane (CH4) was assisted via enzyme activities of, in U (100 mL)-1, α-amylase (224-270), α-xylanase (171-188), carboxymethyl cellulase (CM-cellulase) (146-187), polygalacturonase (56-126), and protease (67,000-75300). The acidogenic condition was dominant at a short HRT of 2.9 h, where methane yield dropped by 32.5%. Under this condition, the growth of methanogenic bacteria could be inhibited by volatile fatty acids (VFA) accumulation. The analysis of Fourier-transform infrared (FTIR) spectra detected peaks relevant to methylene and nitro groups in the sludge samples, suggesting that entrapment/adsorption by the sludge bed could be a major mechanism for removing bronopol. The economic feasibility of UABR, as proposed to receive 100 m3 d-1 of PCIE, showed a payback period (profits from environmental benefits, biogas recovery, and carbon credit) of 7.6 yr. The study outcomes showed a high connection to the environmental-, economic-, and social-related sustainable development goals (SDGs).
    Matched MeSH terms: Manufacturing Industry
  19. 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*
  20. 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
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