%0 Conference Proceedings
%T A Bi-objective Scheduling Model for Additive Manufacturing with Multiple Materials and Sequence-Dependent Setup Time
%+ University of Tehran
%A Tavakkoli-Moghaddam, Reza
%A Shirazian, Shadi
%A Vahedi-Nouri, Behdin
%Z Part 8: New Reconfigurable, Flexible or Agile Production Systems in the Era of Industry 4.0
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B IFIP International Conference on Advances in Production Management Systems (APMS)
%C Novi Sad, Serbia
%Y Bojan Lalic
%Y Vidosav Majstorovic
%Y Ugljesa Marjanovic
%Y Gregor von Cieminski
%Y David Romero
%I Springer International Publishing
%3 Advances in Production Management Systems. Towards Smart and Digital Manufacturing
%V AICT-592
%N Part II
%P 451-459
%8 2020-08-30
%D 2020
%R 10.1007/978-3-030-57997-5_52
%K Scheduling
%K Industry 4.0
%K Additive manufacturing
%K Mathematical modeling
%K Sequence-dependent setup time
%Z Computer Science [cs]Conference papers
%X Considering the striking achievement of additive manufacturing (AM) as a revolutionary technology, it has increasingly attracted the attention of academia and industrial communities in recent years. Scheduling and production planning in AM play an essential role in the efficient and economical manufacturing of customized products through the saving of time and cost. In this paper, an AM scheduling problem is taken into account with different order specifications, especially the material type and due date on non-identical parallel machines. To formulate the problem, a bi-objective mixed-integer linear programming (MILP) model is proposed to minimize the makespan and the total tardiness penalty. Assuming parts with different material types necessitates the consideration of sequence-dependent setup time that depends on the material type of the current and previous jobs on an AM machine. Finally, an augmented $$ \varepsilon $$–constraint method is applied for the problem to achieve a Pareto-optimal front in an illustrative instance.
%G English
%Z TC 5
%Z WG 5.7
%2 https://inria.hal.science/hal-03635659/document
%2 https://inria.hal.science/hal-03635659/file/504014_1_En_52_Chapter.pdf
%L hal-03635659
%U https://inria.hal.science/hal-03635659
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-WG
%~ IFIP-APMS
%~ IFIP-WG5-7
%~ IFIP-AICT-592