Implementation of lean manufacturing system (LMS) in Malaysia traditional medicines and health supplements industry with development of quality inspection point /
Lean manufacturing system (LMS) is a term which is related to manufacturing industry. It means to take away all the unnecessary processes, stages, steps and resources in manufacturing. It is a process that helps the industry to make the production more economical. In the heavy industries such as aut...
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| Format: | Thesis |
| Language: | English |
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Kuala Lumpur :
Kulliyyah of Engineering, International Islamic University Malaysia,
2018
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| Subjects: | |
| Online Access: | http://studentrepo.iium.edu.my/handle/123456789/4876 |
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| Summary: | Lean manufacturing system (LMS) is a term which is related to manufacturing industry. It means to take away all the unnecessary processes, stages, steps and resources in manufacturing. It is a process that helps the industry to make the production more economical. In the heavy industries such as automotive, steel etc. the lean manufacturing are Omni-present due to ease of implementation. However, industries that relates with medicine and food have not yet adopted the lean manufacturing properly. In these industries the recycle of the product has been strictly controlled by government organizations. To follow their regulation, the implementation of lean manufacturing becomes very difficult due to the material reuse issue concerning hygiene. Sometimes due to less supervision in the beginning of the production process causes problems in the final stages. So, a concern must be put in the early stages of production. Implementation of lean manufacturing in the early stages of pharmaceutical is one of the solutions to deal with this problem. In this thesis, lean manufacturing process both for human and computer vision has been applied in the health and traditional medicine factory to eliminate the unnecessary processes in the factory. For human vision, a new quality inspection point has been designed that comprise a table, two lights and a chair where the workers have inspected the capsules. The light intensity and the response time have also been recorded to find the optimum values. Too bright or too low light has given the workers difficulties to inspect the provided capsules. The suitable light intensity has been found at 468 lux and positioned at the middle of any inspection room. The computer vision has been functioned by using the images of the capsules. The process was done by image processing and edge detection algorithm in Matlab. During this process, all the good capsules were successfully detected through edge detection. |
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| Physical Description: | xii, 69 leaves : illustrations ; 30cm. |
| Bibliography: | Includes bibliographical references (leaves 61-63). |