Mass customization capability planning with additive manufacturing

Songi Kim, Bong Ju Jeong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationAdvances in Production Management Systems. Production Management for Data-Driven, Intelligent, Collaborative, and Sustainable Manufacturing - IFIP WG 5.7 International Conference, APMS 2018, Proceedings
EditorsDimitris Kiritsis, Ilkyeong Moon, Jinwoo Park, Gyu M. Lee, Gregor von Cieminski
PublisherSpringer New York LLC
Pages184-192
Number of pages9
ISBN (Print)9783319997032
DOIs
Publication statusPublished - 2018 Jan 1
EventIFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2018 - Seoul, Korea, Republic of
Duration: 2018 Aug 262018 Aug 30

Publication series

NameIFIP Advances in Information and Communication Technology
Volume535
ISSN (Print)1868-4238

Other

OtherIFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2018
CountryKorea, Republic of
CitySeoul
Period18/8/2618/8/30

Fingerprint

3D printers
Planning
Heuristic methods
Stochastic models
Cost effectiveness
Manufacturing
Mass customization
Costs

All Science Journal Classification (ASJC) codes

  • Information Systems and Management

Cite this

Kim, S., & Jeong, B. J. (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, Bong Ju. / 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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Kim, S & Jeong, BJ 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, Bong Ju.

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 proceedingConference contribution

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Kim S, Jeong BJ. 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). https://doi.org/10.1007/978-3-319-99704-9_23