標題: New Idea of Multi-Objective Programming with Changeable Spaces for Improving the Unmanned Factory Planning
作者: Gwo-HshiungTzeng
Huang, Kuan-Wei
Lin, Ching-Wei
Yuan, Benjamin J. C.
管理科學系
科技管理研究所
Department of Management Science
Institute of Management of Technology
公開日期: 1-Jan-2014
摘要: Business decision-makers need various decision analyses to meet highly competitive environments. With increasing cost of intensive workforce and lowering marginal-profit products, how to break the limitation of resources and optimally reallocate all of the precious resources is the major issue to create the competitive advantages in the high-technology industry. Moreover, the second industrial upgrading has developed industrial robots in some production processes for providing more value-added production activities. Therefore, this study proposed a new idea of multi-objective programming with changeable spaces (decision space and objective space) named changeable spaces programming extending the concept of De Novo programming. The best production resources reallocation in re-designing the decision space can be considered how to improve the multi-objective of unmanned factory planning in a high-technology firm for achieving aspiration level. This method provides decision analysis planning and not only to reach ideal point but also how achieve aspiration level in resource reallocation/redesign. A numerical example illustrates how to release the trade-offs between industrial robots and a workforce subject to constrains of the wafer manufacturing and how stage by stage to improve each objective for closing aspiration level in objective space. Computational results are demonstrated supporting the proposed model is easily implemented with flexible effort in practical.
URI: http://hdl.handle.net/11536/125151
ISBN: 978-1-890843-29-8
ISSN: 2159-5100
期刊: 2014 PORTLAND INTERNATIONAL CONFERENCE ON MANAGEMENT OF ENGINEERING & TECHNOLOGY (PICMET)
起始頁: 564
結束頁: 570
Appears in Collections:Conferences Paper