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  1. Mousavi M, Yap HJ, Musa SN, Tahriri F, Md Dawal SZ
    PLoS One, 2017;12(3):e0169817.
    PMID: 28263994 DOI: 10.1371/journal.pone.0169817
    Flexible manufacturing system (FMS) enhances the firm's flexibility and responsiveness to the ever-changing customer demand by providing a fast product diversification capability. Performance of an FMS is highly dependent upon the accuracy of scheduling policy for the components of the system, such as automated guided vehicles (AGVs). An AGV as a mobile robot provides remarkable industrial capabilities for material and goods transportation within a manufacturing facility or a warehouse. Allocating AGVs to tasks, while considering the cost and time of operations, defines the AGV scheduling process. Multi-objective scheduling of AGVs, unlike single objective practices, is a complex and combinatorial process. In the main draw of the research, a mathematical model was developed and integrated with evolutionary algorithms (genetic algorithm (GA), particle swarm optimization (PSO), and hybrid GA-PSO) to optimize the task scheduling of AGVs with the objectives of minimizing makespan and number of AGVs while considering the AGVs' battery charge. Assessment of the numerical examples' scheduling before and after the optimization proved the applicability of all the three algorithms in decreasing the makespan and AGV numbers. The hybrid GA-PSO produced the optimum result and outperformed the other two algorithms, in which the mean of AGVs operation efficiency was found to be 69.4, 74, and 79.8 percent in PSO, GA, and hybrid GA-PSO, respectively. Evaluation and validation of the model was performed by simulation via Flexsim software.
    Matched MeSH terms: Manufacturing and Industrial Facilities
  2. Tran CD, Ibrahim R, Asirvadam VS, Saad N, Sabo Miya H
    ISA Trans, 2018 Apr;75:236-246.
    PMID: 29478749 DOI: 10.1016/j.isatra.2017.12.010
    The emergence of wireless technologies such as WirelessHART and ISA100 Wireless for deployment at industrial process plants has urged the need for research and development in wireless control. This is in view of the fact that the recent application is mainly in monitoring domain due to lack of confidence in control aspect. WirelessHART has an edge over its counterpart as it is based on the successful Wired HART protocol with over 30 million devices as of 2009. Recent works on control have primarily focused on maintaining the traditional PID control structure which is proven not adequate for the wireless environment. In contrast, Internal Model Control (IMC), a promising technique for delay compensation, disturbance rejection and setpoint tracking has not been investigated in the context of WirelessHART. Therefore, this paper discusses the control design using IMC approach with a focus on wireless processes. The simulation and experimental results using real-time WirelessHART hardware-in-the-loop simulator (WH-HILS) indicate that the proposed approach is more robust to delay variation of the network than the PID.
    Matched MeSH terms: Manufacturing and Industrial Facilities
  3. Nguyen HT, Md Dawal SZ, Nukman Y, Aoyama H, Case K
    PLoS One, 2015;10(9):e0133599.
    PMID: 26368541 DOI: 10.1371/journal.pone.0133599
    Globalization of business and competitiveness in manufacturing has forced companies to improve their manufacturing facilities to respond to market requirements. Machine tool evaluation involves an essential decision using imprecise and vague information, and plays a major role to improve the productivity and flexibility in manufacturing. The aim of this study is to present an integrated approach for decision-making in machine tool selection. This paper is focused on the integration of a consistent fuzzy AHP (Analytic Hierarchy Process) and a fuzzy COmplex PRoportional ASsessment (COPRAS) for multi-attribute decision-making in selecting the most suitable machine tool. In this method, the fuzzy linguistic reference relation is integrated into AHP to handle the imprecise and vague information, and to simplify the data collection for the pair-wise comparison matrix of the AHP which determines the weights of attributes. The output of the fuzzy AHP is imported into the fuzzy COPRAS method for ranking alternatives through the closeness coefficient. Presentation of the proposed model application is provided by a numerical example based on the collection of data by questionnaire and from the literature. The results highlight the integration of the improved fuzzy AHP and the fuzzy COPRAS as a precise tool and provide effective multi-attribute decision-making for evaluating the machine tool in the uncertain environment.
    Matched MeSH terms: Manufacturing and Industrial Facilities
  4. Keng TS, Samsudin MFR, Sufian S
    Sci Total Environ, 2021 Mar 10;759:143489.
    PMID: 33248782 DOI: 10.1016/j.scitotenv.2020.143489
    Assessment of the treatment performance in the field-scale hybrid constructed wetland (CW) for ammonia manufacturing plant remains limited. After being in operations running on and off since 2014, the hybrid CW which treats effluent from the ammonia manufacturing plant in Peninsular, Malaysia has recently demonstrated the full clogging to the CW. It takes only 8 months to demonstrate a big deterioration of performance in 2019. Though the mechanism of clogging is not clear, which can be partially from inherent design problems or operational issues, nonetheless, it is important to evaluate how this clogging has impacted the effluent treatment performance and the continuous utilization of the CW. The purpose of this study is to evaluate the impact of the treatment performance on the ammoniacal nitrogen and COD removal when the CW is clogged. The result revealed that there is no impact on COD removal, but it has a substantial impact on the ammoniacal nitrogen removal. The ammoniacal nitrogen removal dropped to negative (outlet concentration is higher than inlet concentration) during the clogged period. Another observation is, the low removal rate also coincides with a high COD/N ratio, when the COD/N ratio increased to >2, the ammoniacal nitrogen removal rate dropped substantially, with the coefficient of determination, R2 of 40.5%. The root cause for the clogging to develop in a short period of time is unidentified. However, it is still worth noting that COD and ammoniacal nitrogen efficiency did not behave the same at the clogged CW.
    Matched MeSH terms: Manufacturing and Industrial Facilities
  5. Nor Habibah Mohd Rosli, Wan Azlina Ahmad
    Science Letters, 2018;12(1):30-43.
    MyJurnal
    Wastewater from industrial plants such as textile, electroplating and petroleum refineries contains various substances that tend to increase the chemical oxygen demand (COD) of the wastewater. Therefore, it is desired to develop a process suitable for treating the wastewater to meet the regulatory limits. This work was conducted to investigate the potential of adapted single culture of A. baumannii, A.calcoaceticus and C.cellulans in reducing COD in real textile wastewater. The study was carried out by adapting each single culture (10% inoculums) to increasing concentration (1%, 2.5 %, 5%, 7.5 % and 10%) of textile wastewater. Then it was introduced to the textile effluent without pH adjustment for five days and the COD values were measured. The textile wastewater was supplemented with pineapple waste for bacterial growth and metabolism. Results obtained showed that pineapple waste was a good nutrient supply for the growth of the bacteria and the best concentration of textile wastewater for adaptation was at 2.5%. The results also showed that A.calcoaceticus shows highest COD reduction with 67% removal whereas A. baumannii and C.cellulans with 60% and 58% removal respectively. The outcome supported that the single culture used in this study showed considerably high reduction of COD from real textile wastewater.
    Matched MeSH terms: Manufacturing and Industrial Facilities
  6. Halim I, Azizul I, David CCH, Hanis A, Hafiz B, Naiemy R, et al.
    Med J Malaysia, 2023 Sep;78(5):559-565.
    PMID: 37775479
    INTRODUCTION: Noise-induced hearing loss (NIHL) is a common problem worldwide. Increased globalisation, as well as industrialisation, gives rise to an increase in the incidence of NIHL worldwide. Malaysia is not spared from this problem, either. The objectives were to determine the prevalence of NIHL and its associated factors among manufacturing factory workers.

    MATERIAL AND METHODS: A cross-sectional study was done in Kuching, Sarawak, involving 173 randomly selected respondents among manufacturing factory workers. Data collected were respondents' workplace monitoring data and their audiometry records obtained from the factory record, and the otoscopy examinations performed. In addition, respondents were required to fill up an interviewer-guided questionnaire.

    RESULTS: The prevalence of NIHL was high (49.7%). The factors which were found to have a significant association with NIHL in bivariate analysis were age (p < 0.05, 95% CI), male gender (p < 0.05; OR - 7.60; CI 3.34 -18.38), duration of employment (p <0.05), knowledge of noise level (p < 0.05; OR - 4.11; CI 1.10 - 15.28), working at polishing department (p < 0.05; OR - 4.23; CI 2.13 - 8.43), and smoking (p < 0.05; OR - 39.6; CI 16.5 - 94.8). Pack-years of smoking were also found to have a significant association with p < 0.05. However, only smoking was statistically significant in multivariate analysis, where the risk of developing NIHL was 27.55 (p < 0.005; CI 10.74 - 70.64) among smokers.

    CONCLUSION: The high prevalence of NIHL despite the existing Hearing Conservation Program (HCP) may indicate that there may be some elements in HCP that require close monitoring by the factory management, and the importance of smoking cessation among the workers exposed to noise at the workplace should be highlighted.

    Matched MeSH terms: Manufacturing and Industrial Facilities
  7. 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 and Industrial Facilities
  8. 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 and Industrial Facilities
  9. Shawal FNS, Guan NY, Mohd Suadi Nata DH, How V, Tamrin SBM
    Work, 2018;60(1):153-162.
    PMID: 29733040 DOI: 10.3233/WOR-182725
    BACKGROUND: People who work with the steam boilers in palm oil mills are vulnerable to accidents, notably to explosions, whenever failures of any kind occur during their operation.

    OBJECTIVE: This cross-sectional study was conducted in palm oil mills to determine the knowledge, attitude, and perception (KAP) concerning the risk management of steam boilers among workers in palm oil mills.

    METHODS: A total of 50 workers who were working with steam boilers and/or involved in managing the operation of steam boilers with at least three years of working experience in the palm oil industry were purposively sampled. A self-administrated questionnaire consisting of four main parts - socio-demographic and occupational information, knowledge, attitude, and perception of the risk management of steam boilers was distributed. The knowledge, attitude, and perception were calculated based on a Likert-type scale.

    RESULTS: This study found that 56% of boiler workers had a good level of knowledge (mean score = 77.22±19.6), 72% had a good attitude toward risk (mean score = 83.17±5.85), and 64% had a good perception of risk (mean score = 79.50±11.22). The prevalence of accidents was 16%, and, for near misses, it was 24%. The cause of the reported accidents was largely attributed to carelessness, specifically at 80%. Apart from that, there was a positive association (χ2 = 6.56; p = 0.010) between attitude and accidents.

    CONCLUSION: This study found that the workers had good KAP levels of risk management of steam boilers in palm oil mills. However, there is a need for the employers to revise the training of workers and ensure its effectiveness in heightening the awareness of risks and accidents despite the high level of KAP.

    Matched MeSH terms: Manufacturing and Industrial Facilities*
  10. Mohd Mohsi NF, Apandi A, Megat Mohd Noor MJ, Md Akhir FN, Sugiura N, Utsumi M, et al.
    J Gen Appl Microbiol, 2020 Apr 13;66(1):8-14.
    PMID: 31281138 DOI: 10.2323/jgam.2019.04.001
    Prazosin (PRZ), a drug used to treat hypertensive patients, is an emergent contaminant in water systems. PRZ is an alpha-adrenergic receptor blocker used to treat anxiety, and is believed to reach the environment through human excretion, irresponsible disposal of unused medicine, and waste products from manufacturing plants. The purpose of this research was to isolate and characterize potential microbes for PRZ biodegradation and to identify the degradation pathway. After screening, isolated strain STP3 showed a capability for PRZ degradation and was chosen for further analysis. Resting cell assays with PRZ were conducted to identify the intermediate metabolites formed from biodegradation by Fourier transform ion cyclotron resonance mass spectrometer (FT-ICR MS) analysis. Two metabolites degraded from PRZ by STP3 were successfully found, and as these metabolites are derived from the main structure of PRZ, their presence proved PRZ degradation. Draft genome sequencing analysis of STP3 was performed to identify potential enzymes for PRZ biodegradation based on the metabolites found.
    Matched MeSH terms: Manufacturing and Industrial Facilities
  11. Irniza Rasdi, Noraini Mohd Zin, Sharifah Norkhadijah Syed Ismail
    MyJurnal
    Introduction: Noise was evident to reduce job satisfaction among workers which will negative impacts to workers including increase job turnover, decrease motivation and increased number of accidents. This study aims to explore job satisfaction and its risk factors among workers working in a noisy workplace. Method: The study design was cross-sectional study which involved 167 workers in a cable manufacturing factory selected by simple random sam- pling. MSQ was used to assess employee’s satisfaction with their job on seven facets and sound level meter was used to measure workplace noise level. Results: All respondents were exposed to noise above permissible exposure limit. Most workers (49%) were moderately satisfied with their work. Factors that were rated as lowest level of satisfaction were work itself (the ability to work alone) (40%) and the way company system policies are implemented (40%). Factors with the highest level of satisfaction were their freedom to implement their judgement (responsibility) (51%) and the supervision quality of their superiors (51%). The most dominant facet predicting total satisfaction level was recognition followed by advancement and company policy and administration. All variables in socio-demographical and job characteristics were not significantly associated with their level of job satisfaction except noise. Noise was significant in predicting one facet of job satisfaction which was physical work condition. Conclusion: Overall, the average level of job satisfaction among respondents were moderate and they were exposed to occupational noise which was the only significant study variable correlated with their job satisfaction.
    Matched MeSH terms: Manufacturing and Industrial Facilities
  12. Abdulsalam M, Che Man H, Isma Idris A, Zainal Abidin Z, Faezah Yunos K
    PMID: 30304814 DOI: 10.3390/ijerph15102200
    Palm oil mill effluent contains carcinogenic coloured compounds that are difficult to separate due to their aromatic structure. Though colour treatment using adsorption processes at lower pH (<4) have been reported effectual, due to its acidity the remediated effluent poses an environmental hazard as a result. Thus, the current study focused on achieving decolourization at neutral pH by enhancing the morphology of the coconut shell activated carbon (CSAC) using N₂ as activating-agent with microwave irradiation heating. The microwave pretreated and non-pretreated CSAC were characterized using scanned electron microscopy (SEM), energy dispersive X-ray (EDX) and Brunauer-Emmett-Teller (BET) analysis. A significant modification in the porous structure with a 66.62% increase in the specific surface area was achieved after the pretreatment. The adsorption experimental matrix was developed using the central composite design to investigate the colour adsorption performance under varied pH (6⁻7), dosage (2⁻6 g) and contact time (10⁻100 min). At optimum conditions of neutral pH (7), 3.208 g dosage and contact time of 35 min, the percentage of colour removal was 96.29% with negligible differences compared with the predicted value, 95.855%. The adsorption equilibrium capacity of 1430.1 ADMI × mL/g was attained at the initial colour concentration of 2025 ADMI at 27 °C. The experimental data fitted better with the Freundlich isotherm model with R² 0.9851.
    Matched MeSH terms: Manufacturing and Industrial Facilities
  13. Ching CL, Kamaruddin A, Rajangan CS
    J Food Prot, 2021 Jun 01;84(6):973-983.
    PMID: 33232455 DOI: 10.4315/JFP-20-294
    ABSTRACT: Environmental hygiene monitoring in the food processing environment has become important in current food safety programs to ensure safe food production. However, conventional monitoring of surface hygiene based on visual inspection and microbial counts is slow, tedious, and thus unable to support the current risk-based management system. Therefore, this study was conducted to assess the performance of a real-time total adenylate assay that detected ATP+ADP+AMP (A3) for food contact surface hygiene in 13 food processing plants and two commercial kitchens in Malaysia. The A3 value was compared with the microbial count (aerobic plate count [APC]) on food contact surfaces. Receiver-operating characteristic (ROC) analysis was performed to assess the reliability of the data and to determine the optimal threshold value for hygiene indication of food contact surfaces. Overall, the A3 value demonstrated a weak positive relationship with APC. However, the A3 value significantly correlated with APC for food processing environments associated with raw meat and raw food ingredients such as fruit that harbor a high microbial load. ROC analysis suggested an optimal threshold for the A3 value of 500 relative light units to balance the sensitivity and specificity at 0.728 and 0.719, respectively. The A3 assay as a hygiene indicator for food contact surfaces had an efficiency of 72.1%, indicating its reliability as a general hygiene indicator.
    Matched MeSH terms: Manufacturing and Industrial Facilities
  14. Saffree Jeffree M, Ismail N, Awang Lukman K
    J Occup Health, 2016 Sep 30;58(5):434-443.
    PMID: 27488035
    INTRODUCTION: Hearing impairment remains the main occupational health problem in the manufacturing industry, and its contributing factors have not been well controlled.

    METHODS: Unmatched case control and comparative studies were carried out among fertilizer factory workers in Sarawak with the aim of determining contributing factors for hearing impairment. Respondents consisted of 49 cases that were diagnosed from 2005 to 2008 with 98 controls from the same work places. Chi-square test and Mann-Whitney test were used in a univariate analysis to determine the association between hearing impairment and the contributing risks being studied.

    RESULTS: The results of the univariate analysis showed that hearing impairment was significantly (p<0.05) associated with older age, lower education level, high smoking dose, high occupational daily noise dose, longer duration of service, infrequent used of hearing protection device (HPD), and low perception of sound on HPD usage. Multivariate logistic regression of hearing impairment after controlling for age found the following five variables: occupational daily noise dose ≥50% (OR 3.48, 95% CI 1.36-8.89), ≥15 years of services (OR 2.92, 95% CI 1.16-7.33), infrequent use of HPD (OR 2.79, 95% CI 1.15-6.77), low perception of sound on HPD (POR 2.77, 95% CI 1.09-6.97), and smoking more than 20 packs per year (OR 4.71, 95% CI 1.13-19.68).

    DISCUSSION: In conclusion, high occupational noise exposure level, longer duration of service, low perception of sound on HPD, infrequent used of HPD, and smoking more than 20 packs per year were the contributing factors to hearing impairment, and appropriate intervention measures should be proposed and taken into considerations.

    Matched MeSH terms: Manufacturing and Industrial Facilities
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