Mass customization capability planning with additive manufacturing

Songi Kim; Bongju Jeong

doi:10.1007/978-3-319-99704-9_23

Mass customization capability planning with additive manufacturing

Songi Kim, Bongju Jeong

Department of Industrial Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

Mass customization aims to manufacture large quantities of customized products at low costs comparable to that in mass production. However, the two operational objectives of mass customization, production flexibility and cost-efficiency, conflict with each other. In this circumstance, one of the famous prototyping technologies, additive manufacturing (AM), began to draw attention with its multiple function in the production system, which enables mass customizers to achieve the two contradictive objectives. This study defines mass customization capability planning (MCCP) as a production planning process which balances between production flexibility and cost-effectiveness. Also, the mathematical planning model of MCCP is developed to support it. Since the MCCP model includes stochastic parameters, a heuristic method is applied to the solution searching process. After, the MCCP model was validated by the experiment analysis.

Original language	English
Title of host publication	Advances in Production Management Systems. Production Management for Data-Driven, Intelligent, Collaborative, and Sustainable Manufacturing - IFIP WG 5.7 International Conference, APMS 2018, Proceedings
Editors	Dimitris Kiritsis, Ilkyeong Moon, Jinwoo Park, Gyu M. Lee, Gregor von Cieminski
Publisher	Springer New York LLC
Pages	184-192
Number of pages	9
ISBN (Print)	9783319997032
DOIs	https://doi.org/10.1007/978-3-319-99704-9_23
Publication status	Published - 2018
Event	IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2018 - Seoul, Korea, Republic of Duration: 2018 Aug 26 → 2018 Aug 30

Publication series

Name	IFIP Advances in Information and Communication Technology
Volume	535
ISSN (Print)	1868-4238

Other

Other	IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2018
Country/Territory	Korea, Republic of
City	Seoul
Period	18/8/26 → 18/8/30

Bibliographical note

Publisher Copyright:
© 2018, IFIP International Federation for Information Processing.

All Science Journal Classification (ASJC) codes

Information Systems
Computer Networks and Communications
Information Systems and Management

Access to Document

10.1007/978-3-319-99704-9_23

Cite this

Kim, S., & Jeong, B. (2018). Mass customization capability planning with additive manufacturing. In D. Kiritsis, I. Moon, J. Park, G. M. Lee, & G. von Cieminski (Eds.), Advances in Production Management Systems. Production Management for Data-Driven, Intelligent, Collaborative, and Sustainable Manufacturing - IFIP WG 5.7 International Conference, APMS 2018, Proceedings (pp. 184-192). (IFIP Advances in Information and Communication Technology; Vol. 535). Springer New York LLC. https://doi.org/10.1007/978-3-319-99704-9_23

Kim, Songi ; Jeong, Bongju. / Mass customization capability planning with additive manufacturing. Advances in Production Management Systems. Production Management for Data-Driven, Intelligent, Collaborative, and Sustainable Manufacturing - IFIP WG 5.7 International Conference, APMS 2018, Proceedings. editor / Dimitris Kiritsis ; Ilkyeong Moon ; Jinwoo Park ; Gyu M. Lee ; Gregor von Cieminski. Springer New York LLC, 2018. pp. 184-192 (IFIP Advances in Information and Communication Technology).

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title = "Mass customization capability planning with additive manufacturing",

abstract = "Mass customization aims to manufacture large quantities of customized products at low costs comparable to that in mass production. However, the two operational objectives of mass customization, production flexibility and cost-efficiency, conflict with each other. In this circumstance, one of the famous prototyping technologies, additive manufacturing (AM), began to draw attention with its multiple function in the production system, which enables mass customizers to achieve the two contradictive objectives. This study defines mass customization capability planning (MCCP) as a production planning process which balances between production flexibility and cost-effectiveness. Also, the mathematical planning model of MCCP is developed to support it. Since the MCCP model includes stochastic parameters, a heuristic method is applied to the solution searching process. After, the MCCP model was validated by the experiment analysis.",

keywords = "Additive manufacturing, Mass customization, Mass customization capability planning",

author = "Songi Kim and Bongju Jeong",

note = "Publisher Copyright: {\textcopyright} 2018, IFIP International Federation for Information Processing.; IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2018 ; Conference date: 26-08-2018 Through 30-08-2018",

year = "2018",

doi = "10.1007/978-3-319-99704-9_23",

language = "English",

isbn = "9783319997032",

series = "IFIP Advances in Information and Communication Technology",

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editor = "Dimitris Kiritsis and Ilkyeong Moon and Jinwoo Park and Lee, {Gyu M.} and {von Cieminski}, Gregor",

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Kim, S & Jeong, B 2018, Mass customization capability planning with additive manufacturing. in D Kiritsis, I Moon, J Park, GM Lee & G von Cieminski (eds), Advances in Production Management Systems. Production Management for Data-Driven, Intelligent, Collaborative, and Sustainable Manufacturing - IFIP WG 5.7 International Conference, APMS 2018, Proceedings. IFIP Advances in Information and Communication Technology, vol. 535, Springer New York LLC, pp. 184-192, IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2018, Seoul, Korea, Republic of, 18/8/26. https://doi.org/10.1007/978-3-319-99704-9_23

Mass customization capability planning with additive manufacturing. / Kim, Songi; Jeong, Bongju.
Advances in Production Management Systems. Production Management for Data-Driven, Intelligent, Collaborative, and Sustainable Manufacturing - IFIP WG 5.7 International Conference, APMS 2018, Proceedings. ed. / Dimitris Kiritsis; Ilkyeong Moon; Jinwoo Park; Gyu M. Lee; Gregor von Cieminski. Springer New York LLC, 2018. p. 184-192 (IFIP Advances in Information and Communication Technology; Vol. 535).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Kim, Songi

AU - Jeong, Bongju

PY - 2018

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N2 - Mass customization aims to manufacture large quantities of customized products at low costs comparable to that in mass production. However, the two operational objectives of mass customization, production flexibility and cost-efficiency, conflict with each other. In this circumstance, one of the famous prototyping technologies, additive manufacturing (AM), began to draw attention with its multiple function in the production system, which enables mass customizers to achieve the two contradictive objectives. This study defines mass customization capability planning (MCCP) as a production planning process which balances between production flexibility and cost-effectiveness. Also, the mathematical planning model of MCCP is developed to support it. Since the MCCP model includes stochastic parameters, a heuristic method is applied to the solution searching process. After, the MCCP model was validated by the experiment analysis.

AB - Mass customization aims to manufacture large quantities of customized products at low costs comparable to that in mass production. However, the two operational objectives of mass customization, production flexibility and cost-efficiency, conflict with each other. In this circumstance, one of the famous prototyping technologies, additive manufacturing (AM), began to draw attention with its multiple function in the production system, which enables mass customizers to achieve the two contradictive objectives. This study defines mass customization capability planning (MCCP) as a production planning process which balances between production flexibility and cost-effectiveness. Also, the mathematical planning model of MCCP is developed to support it. Since the MCCP model includes stochastic parameters, a heuristic method is applied to the solution searching process. After, the MCCP model was validated by the experiment analysis.

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Kim S, Jeong B. Mass customization capability planning with additive manufacturing. In Kiritsis D, Moon I, Park J, Lee GM, von Cieminski G, editors, Advances in Production Management Systems. Production Management for Data-Driven, Intelligent, Collaborative, and Sustainable Manufacturing - IFIP WG 5.7 International Conference, APMS 2018, Proceedings. Springer New York LLC. 2018. p. 184-192. (IFIP Advances in Information and Communication Technology). doi: 10.1007/978-3-319-99704-9_23

Mass customization capability planning with additive manufacturing

Abstract

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Bibliographical note

All Science Journal Classification (ASJC) codes

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