Dynamic Supply Chain Design and Operations Plan for Connected Smart Factories with Additive Manufacturing
Interest in smart factories and smart supply chains has been increasing, and researchers have emphasized the importance and the effects of advanced technologies such as 3D printers, the Internet of Things, and cloud services. This paper considers an innovation in dynamic supply-chain design and oper...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-04-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2076-3417/8/4/583 |
| _version_ | 1818195235511992320 |
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| author | Byung Do Chung Sung Il Kim Jun Seop Lee |
| author_facet | Byung Do Chung Sung Il Kim Jun Seop Lee |
| author_sort | Byung Do Chung |
| collection | DOAJ |
| description | Interest in smart factories and smart supply chains has been increasing, and researchers have emphasized the importance and the effects of advanced technologies such as 3D printers, the Internet of Things, and cloud services. This paper considers an innovation in dynamic supply-chain design and operations: connected smart factories that share interchangeable processes through a cloud-based system for personalized production. In the system, customers are able to upload a product design file, an optimal supply chain design and operations plan are then determined based on the available resources in the network of smart factories. The concept of smart supply chains is discussed and six types of flexibilities are identified, namely: design flexibility, product flexibility, process flexibility, supply chain flexibility, collaboration flexibility, and strategic flexibility. Focusing on supply chain flexibility, a general planning framework and various optimization models for dynamic supply chain design and operations plan are proposed. Further, numerical experiments are conducted to analyze fixed, production, and transportation costs for various scenarios. The results demonstrate the extent of the dynamic supply chain design and operations problem, and the large variation in transportation cost. |
| first_indexed | 2024-12-12T01:14:58Z |
| format | Article |
| id | doaj.art-ad9ac2c30c6c4847bbbc05b70cdd474a |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-12T01:14:58Z |
| publishDate | 2018-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-ad9ac2c30c6c4847bbbc05b70cdd474a2022-12-22T00:43:23ZengMDPI AGApplied Sciences2076-34172018-04-018458310.3390/app8040583app8040583Dynamic Supply Chain Design and Operations Plan for Connected Smart Factories with Additive ManufacturingByung Do Chung0Sung Il Kim1Jun Seop Lee2Department of Industrial Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, KoreaAI Platform Development Team, LG Uplus, 32 Hangang-daero, Yongsan-gu, Seoul 04389, KoreaDepartment of Industrial Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, KoreaInterest in smart factories and smart supply chains has been increasing, and researchers have emphasized the importance and the effects of advanced technologies such as 3D printers, the Internet of Things, and cloud services. This paper considers an innovation in dynamic supply-chain design and operations: connected smart factories that share interchangeable processes through a cloud-based system for personalized production. In the system, customers are able to upload a product design file, an optimal supply chain design and operations plan are then determined based on the available resources in the network of smart factories. The concept of smart supply chains is discussed and six types of flexibilities are identified, namely: design flexibility, product flexibility, process flexibility, supply chain flexibility, collaboration flexibility, and strategic flexibility. Focusing on supply chain flexibility, a general planning framework and various optimization models for dynamic supply chain design and operations plan are proposed. Further, numerical experiments are conducted to analyze fixed, production, and transportation costs for various scenarios. The results demonstrate the extent of the dynamic supply chain design and operations problem, and the large variation in transportation cost.http://www.mdpi.com/2076-3417/8/4/583connected smart factoriesadditive manufacturingdynamic supply chain designflexibilitycustomized demand |
| spellingShingle | Byung Do Chung Sung Il Kim Jun Seop Lee Dynamic Supply Chain Design and Operations Plan for Connected Smart Factories with Additive Manufacturing Applied Sciences connected smart factories additive manufacturing dynamic supply chain design flexibility customized demand |
| title | Dynamic Supply Chain Design and Operations Plan for Connected Smart Factories with Additive Manufacturing |
| title_full | Dynamic Supply Chain Design and Operations Plan for Connected Smart Factories with Additive Manufacturing |
| title_fullStr | Dynamic Supply Chain Design and Operations Plan for Connected Smart Factories with Additive Manufacturing |
| title_full_unstemmed | Dynamic Supply Chain Design and Operations Plan for Connected Smart Factories with Additive Manufacturing |
| title_short | Dynamic Supply Chain Design and Operations Plan for Connected Smart Factories with Additive Manufacturing |
| title_sort | dynamic supply chain design and operations plan for connected smart factories with additive manufacturing |
| topic | connected smart factories additive manufacturing dynamic supply chain design flexibility customized demand |
| url | http://www.mdpi.com/2076-3417/8/4/583 |
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