author Jinwu Seo 
2nd author / Hanil Jeong (Dept. of IT Business Engineering, Daejon University)
/ Seokcheon Lee (School of Industrial Engineering, Purdue University)
/ Dongmyung Lee (Dept. of Industrial Engineering, Seoul National University)
/ Jinwoo Park (Dept. of Industrial Engineering, Seoul National University) 
info International Journal of Advanced Manufacturing Technology (SCIE, 0.743) 
year 2012 
c IJ 
저널/학회 IJAMT 
group SCIE 
keyword Sharing information, Open business environment, Supply chain planning, Mathematical formulation, GA 
abstract Enterprise applications are increasingly becoming capable of sharing information and coordinating decisions autonomously without any human intervention. This open business environment gives rise to several new supply chain planning problems that have to be solved by individual entities of a supply chain. This paper first mathematically formulates the supply chain planning problems emerging in the open business environment and second proposes a heuristic solution procedure based on the framework of genetic algorithm applicable to largescale problems. The procedure has two stages as the original problem is decomposed into two sub-problems in an effort to reduce the overall problem complexity. The performance of the proposed algorithm is empirically proven to be effective in both solution quality and search time in various problem sizes 
번호 c 저널/학회 group 제목 author year

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