Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)

Supply Chain Optimization of Assembly Manufacturer with Uncertainly Demand and Uncertainly Lead Time

Authors
De-zhi ZHANG, Shuangy-yan LI, Fang-ping JIN
Corresponding Author
De-zhi ZHANG
Available Online September 2012.
DOI
10.2991/emeit.2012.198How to use a DOI?
Keywords
Uncertainly condition, Inventory control, Assembly system
Abstract

Order strategy optimization of multiple suppliers assembly manufacturing supply chain system under the random demand and random lead time is investigated in this paper. Manufacturers order strategy is sought for in order to minimize supply chain joint cost. Quantity ratio of different components due to assembly requirement is considered in optimization model. And scale benefits parameters of suppliers are used to reflect actual influence of the order’s scale. Numerical example of two suppliers and one manufacturer supply chain is given to illustrate the order strategy.

Copyright
© 2012, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
Series
Advances in Intelligent Systems Research
Publication Date
September 2012
ISBN
10.2991/emeit.2012.198
ISSN
1951-6851
DOI
10.2991/emeit.2012.198How to use a DOI?
Copyright
© 2012, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - De-zhi ZHANG
AU  - Shuangy-yan LI
AU  - Fang-ping JIN
PY  - 2012/09
DA  - 2012/09
TI  - Supply Chain Optimization of Assembly Manufacturer with Uncertainly Demand and Uncertainly Lead Time
BT  - Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
PB  - Atlantis Press
SP  - 919
EP  - 922
SN  - 1951-6851
UR  - https://doi.org/10.2991/emeit.2012.198
DO  - 10.2991/emeit.2012.198
ID  - ZHANG2012/09
ER  -