Mass customization capability planning with additive manufacturing

Songi Kim, Bongju Jeong

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

2 Citations (Scopus)


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
Number of pages9
ISBN (Print)9783319997032
Publication statusPublished - 2018
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
ISSN (Print)1868-4238


OtherIFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2018
Country/TerritoryKorea, Republic of

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


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