Tan Chan Sin
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Preferred name
Tan Chan Sin
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Tan, Chan Sin
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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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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.

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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.

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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.

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Optimization of brushing, bubble, and microbubble techniques using taguchi method for raw edible bird nest cleaning purpose

2022-04-01 , Seenivasan Divean , Tan Chan Sin

The paper presents the parameter setting and optimizing the brushing, bubble, and microbubble techniques to clean the raw edible bird nest (EBN). EBN is nourishment created entirely from the secretions of swiftlets, with no added ingredients. Because of its medical benefits, cleaned EBN is in high demand. In general, the raw EBN has been cleaned using human manual cleaning with the help of tweezers. However, this method is lengthy as it took about one hour to clean 1 EBN fully. Hence, some mechanical cleaning techniques are needed to clean the raw EBN to improve the cleaning time and cleanliness. This paper aims to optimize the three mechanical cleaning techniques: brushing, bubble, and microbubble. Taguchi Method is used to design and optimize the combination setting of all parameters. The chosen optimized parameter set will then be tested to find the optimal parameter sets for the cleaning process. The time setting for each parameter is set at 30, 45, and 60 seconds. Each of these parameters is tested to obtain the best-optimized parameter. Once the best-fit parameters are identified, the experiment is conducted using the three selected parameters with three different sequences to find the most effective and efficient sequence to clean the raw EBN. With the experiment being carried out, the output of the best sequence of the cleaning process is Sequence 1, which contributes to the cleanliness of 66.18% and cleaning time of 7 minutes.

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