Tan Chan Sin
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Preferred name
Tan Chan Sin
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Tan, Chan Sin
Alternative Name
Chan Sin, Tan
Tan, C. S.
Sin, Tan Chan
Sin, T. C.
Sin, T. Chan
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Scopus Author ID
56237650800

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  • Publication
    Industry 4.0 challenges and benefits in Malaysia's manufacturing firms: A review
    ( 2024-03-07)
    Arumugam T.
    ;
    Tan Chan Sin
    ;
    Mohammad Fadzli Ramli
    ;
    Ahmad Humaizi Hilmi
    ;
    Rosmaini Ahmad
    ;
    Azmi H.
    Malaysia is now ready to adopt Industry 4.0 as a vital tool for transitioning to a new industry. The major focus of this article is on Industry 4.0's challenges and benefits. Inadequate time and effort, higher investment, lack of expertise and knowledge, and lack of internet coverage and IT facilities are some of the challenges associated with adopting Industry 4.0. Many other benefits of Industry 4.0 implementation include higher productivity, increased competitiveness, increased opportunities for collaborative working and knowledge sharing, cost reduction, flexibility and agility, and improved customer experience. As a result, this article contributes to a more realistic knowledge of Industry 4.0. As a final note, this paper offers some directions for firms wishing to implement Industry 4.0 with great success.
  • Publication
    Surface Morphology Study on Unclean, Commercial and Bromelain treated Edible Bird Nest (EBN) using Scanning Electron Microscope
    ( 2020-12-18)
    Tai Shen Koon
    ;
    Zainab Hamzah
    ;
    Ng Qi Hwa
    ;
    Tan Chan Sin
    Edible Bird Nest (EBN) is a bird made product and its one of the most expensive animal products consumed by human nowadays due to high nutritional values and medicinal properties. Market processed EBN found the presence of mites, fungal spores and feather strands using scanning electron microscope (SEM). Mite was the common cause of anaphylaxis. Indeed, mite are heat resistant and thus can elicit allergic reaction even the food has been cooked. Therefore, the enzyme technology is applied in the current study on EBN to remove most of the pathogen. The results obtained in this study were attributable to the fact that enzyme treatment EBN is added value product and safer for human consumption as compared to that of the market processed EBN.
  • Publication
    Implementation of kanban-based fifo system to minimize lead time at automated optical inspection operation - A case study in semiconductor industry
    ( 2021-01-01)
    Krom P.
    ;
    Rosmaini Ahmad
    ;
    Shaliza Azreen Mustafa
    ;
    Tan Chan Sin
    This paper presents an improvement project in a semiconductor industry to minimize product lead time in automated optical inspection (AOI) operation. The Lean Thinking (LT) approach is applied to drive this improvement project, which it performed based on three main stages; observation, improvement and validation. Initial observation study found a significant cause of this problem (lead time). There have improper record and control mechanisms of receiving the product lots from production department, picking the products lots for inspection and restoring the products lots after inspection. Therefore, this not only cause the high and inconsistent lead time of products lot to be inspect (due to random rack location searching during picking and restoring processes) also the right sequence of product lots from one type to another that went through the AOI operation cannot systematically managed and controlled. In improvement stage, a production control system, namely Kanban-based First-In-First-Out (FIFO) system is proposed to solve the stated problem. Generally, Kanban technique applied in this research project is to systematically guide the inspection operator for performing AOI operation based on FIFO rule. There are two keys rules behind Kanban technique application; First is to record the sequence of the product lots that been received from production department and obtained the rack location for their temporary store. Second is to provide input information for the inspection operator to perform the activities picking and restoring in the right sequence of product lot direct to the rack location that has been stored before. Another technical mechanism included in Kanban-based FIFO system is the application of supermarket buffer system to minimize the wafer lot searching activity. In validation stage, the proposed solution has been tested within the period of one month. Results show that the searching times for picking and restoring the product lots has reduced to 77.0% and overall product lead time due inspection process has reduced 54.2%. The mechanism of Kanban-based FIFO system is then proposed to the top management of the case study company to be embedded with Internet of Thing (IoT) technology to support Industrial 4.0 evolution.
  • Publication
    DMAIC steps application to improve ergonomics problem: a case study in coffee manufacturing industry
    ( 2022)
    Nurul Najwa Mansor
    ;
    Shaliza Azreen Mustafa
    ;
    R Badlishah Ahmad
    ;
    Mohd Asyraf Che Doi
    ;
    Tan Chan Sin
    ;
    Mohd Asri Jusoh
    The health issue related to Musculoskeletal Disorders (MSDs) faced by manufacturing industries’ workers affects the work quality and productivity, commonly due to the tasks performed with unsuitable posture. This study was carried out to assess the level of Ergonomics Risk Factors (ERFs) among shop-floor workers in a coffee manufacturing company, located in northern peninsular of Malaysia. The Six Sigma approach was applied based on Define, Measure, Analyze, Improve and Control (DMAIC) steps. Observation, interviews and self-report surveys were conducted in the Define step to identify the potential tasks that lead to the high level of ergonomics risk. In the Measure step, the Rapid Upper Limb Assessment (RULA) and Rapid Entire Body Assessment (REBA) tools were then used to assess the level of ERF on twenty-three tasks that practice at eight workstations. In the Analyze step, assessment results were evaluated, thus identifying that the lifting task (mixing workstation) has the highest ergonomics risk level (score level 11) and follows by root cause identification. Then, the Improve step focuses on a simple invention proposal, where the optimal solution that fulfills the principles of proper height working procedure and reducing excessive force is applied. The proposed solution shows a significant improvement in ergonomics risk level based on the score value of 3. Lastly, the Control step focuses on sustaining the improved version performance by revising the working procedure according to the solution principles proposed in the previous step.
  • Publication
    Green perspective in food industry production line design: a review
    ( 2017-09-26)
    Xian C.Y.
    ;
    Tan Chan Sin
    ;
    Nur Liyana Mohd Rosli
    ;
    Atikah Haji Awang @ Haji Mohd Ramli
    ;
    Mohd Fathullah Ghazli@Ghazali
    The design of green manufacturing process in food industries is currently a hot research topic in the multidisciplinary area of applied chemistry, biology and technology. Several process such as freezing, cutting, drying, tempering, bleaching, sterilization, extraction and filtering have been applied efficiency in the food industry. Due to the rapid development of food and peripheral technology, the use of new physical processing or auxiliary processing methods can maintain food inherent nutrients, texture, color, and freshness and also reduce environmental pollution and energy consumption in food processing. Hence, this review paper will study and summarize the effects of green manufacturing process in food industries in term of waste reduction, materials and sustainability manufacturing. In any case, All the food processing equipment must comply with strict standards and regulation, this action will ensure the securing the food quality and safety of food products to consumers.
  • Publication
    A review of industry 4.0 development progress in Indonesia
    ( 2024-03-07)
    Mursadi R.A.
    ;
    Tan Chan Sin
    ;
    Ramli M.F.
    ;
    Ahmad Humaizi Hilmi
    ;
    Rosmaini Ahmad
    ;
    Azmi H.
    Rapid advancements in digital technology have resulted in a new industrial revolution phenomenon known as Industry 4.0. This revolution introduces modern technologies that enable the connectivity of all components within industries. This paper reviews the current status and progress in Indonesia heading to Industry 4.0. The Indonesia' government has been launched 'Making Indonesia 4.0's' roadmap in 2018 including the five priority industrial sectors namely food and beverages, chemicals, textile, automotive, and electronics and ten national priorities. Indonesia which is currently only in the stage of entering the industrial era 4.0 with few of challenges and opportunities by following the roadmap of "Making Indonesia 4.0".
      13  1
  • Publication
    Defect Factor Analysis Using Statistical Process Control Analysis: A Case Study in Spices Defected Packaging Production
    ( 2021-01-01)
    Idris N.I.
    ;
    Tan Chan Sin
    ;
    Safwati Ibrahim
    ;
    Mohammad Fadzli Ramli
    ;
    Rosmaini Ahmad
    The problems faced by food and beverages in Malaysia are still the emergence of defect products in every production and it escaped from quality control checked thus it reaches the consumer. This study aims to analyze the variability of defects in the production line in XX Food Industries Sdn. Bhd., using p-chart control and fishbone diagram. This company produce a food spices products whether it is well within the control or not and looking for the factors that causing to the defect products. Data collection and information obtained from interviews and documentation for the number of products and production defects for three months in XX Food Industries. The methods used to analyze products quality control by using p-chart, one of the statistical process control and fishbone diagram to determine the cause of defects products. The defects that usually occur in the production line are types of packaging defects such as leaking sachets, eyemark on the sachet sealing, and less product fill in the sachet that cause lightweight sachet. Results showed that products quality control in XX Food Industries Sdn. Bhd. is still controlled by the largest type of defects that are leaking with defects percentage 46.3 and with 36.28% percentage of defects caused by eyemark. Then, followed by defect caused by lightweight is 17.5%. Factors causing defects products are human, machine, work methods, and materials. In this case unskilled worker and the material of the plastic wrapping for the spices packet are primary cause of defects products. This study is useful in providing useful information in identifying causes for rejection or defect analysis. This research also helpful in proposing optimal solution to be implemented for productivity and quality improvement.
      4  10
  • Publication
    EFFECTS OF SOAKING PROCESS AND ROTATING METHOD ON EDIBLE BIRD NEST CLEANING TIME AND CLEANLINESS
    ( 2023-11-01)
    Seenivasan D.
    ;
    Tan Chan Sin
    The paper examines the effects of rotation and soaking processes on the cleaning time and cleanliness of edible bird nests (EBN). During breeding season, swift’s species known as Aerodramus secrete salivary glands to build a nest that humans harvest. To be sold, the harvested EBN must be cleaned. The raw EBN cleaning process consists of four operations: soaking, cleaning, reshaping, and drying. Generally, harvested EBN is cleaned manually using tweezers. However, this procedure is time-consuming, as cleaning one EBN take about an hour. Therefore, several mechanical cleaning methods were required to clean raw EBN to improve cleaning time and cleanliness. This research aims to improve the two mechanical cleaning methods, rotating and soaking. The Taguchi Method is used to design and optimize the overall parameter setup. The selected optimized parameter set will be tested to determine the best parameter sets. For the current study, EBN wetting process has time settings of 12, 18, and 24 hours. The rotating method's time settings were 30, 45, and 60 seconds. The soaking time can be set to 2, 4, or 6 minutes. Each of these parameters is thoroughly tested to determine the best-optimized one. The experiment is then carried out by combining the two parameters chosen in a sequence to determine the cleanliness of the raw EBN. According to the experiments' results, the cleaning sequence contributes 63.75 percent cleanliness at a cleaning time of 5 minutes, which includes a soaking time of 4 minutes and a rotating method of 60 seconds.
      8  1
  • Publication
    An assignment slots solution approach for the two-sided assembly line balancing by using a hybrid semi-greedy artificial bee colony algorithms
    ( 2023-04-24)
    Mohd Fidzwan Md Amin Hamzas
    ;
    Bareduan S.A.
    ;
    Mohd Zakimi Zakaria
    ;
    Tan Chan Sin
    This study is about the implementation of the introduction of assignment slots to optimize the double-sided assembly line. This research was performed using hybrid Artificial Bee Colony and Semi-greedy algorithms. The main objective is to get the most optimal value. The introduction of this assignment slots is shown in detail in this paper with a total of 4 main cycles and P24 with CT = 18 as an example. Several tasks set with P9, P16, P24, P44 and P65 were tested with the same cycle time setting in the previous study. From the previous study, the partial fitness method has been tested and the results have been compared with this method. The results show that the introduction of this assignment slot is more effective to get the optimal value.
      1  6
  • Publication
    Product defect prediction model in food manufacturing production line using multiple regression analysis (MLR)
    ( 2021-07-21)
    Illa I.N.
    ;
    Tan Chan Sin
    ;
    Fadzli R.
    ;
    Safwati Ibrahim
    ;
    Rosmaini Ahmad
    ;
    Mohd Fathullah Ghazli@Ghazali
    This paper aims to develop an improved general mathematical model by focusing on human factors variables that related to the product defect in the manufacturing production line. This is because many studies found that almost 40% of total defects resulted from the operator error and the defects are usually not obvious and neglected. The objective to have defect prediction mathematical model to satisfy as early quality indicator of the manufacturing flow production line and assist the quality control team in manufacturing industries. Thus, the human factor variables will be investigate thoroughly and final model can be used to predict product defect on the line to improve product quality. Product defects quantity are identified and analyzed to determine the potential predictors for developing the mathematical model. A case study is offered that illustrates in a spice packaging semi-automated production line the effect that complexity variables have on assembly quality. By using Minitab, Multiple Regression analysis is conducted to model the relationship between the input variables towards response variables. From the analysis, the predicted data showed reasonable correlation with the observed data improved with adjusted R-Sq from 2.6% to 7.9%. Hence, the regression equation obtain is selected to be the prediction mathematical model for defects based on human factor input variables.
      1  11