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Articles by Yi Han
Total Records ( 2 ) for Yi Han
  Jianhu Cai , Liping Wang , Yi Han , Gengui Zhou and Weilai Huang

This paper considers advance order strategies in a two-echelon supply chain with one supplier and multiple buyers for seasonal products. We study how advance strategies affect the interactions between the supply chain members. In contrast to much of the literature, we specifically consider the supply chain with multiple buyers by introducing a demand function under uncertainty. Furthermore, we present two main different advance order strategies. We assume that exactly one of the multiple buyers has the ability to make an advance order before the selling season (we call this buyer the natural leader). In one strategy, the natural leader can only order products one time. The model shows that, below a threshold level of demand uncertainty, the supplier can benefit from providing adequate pricing incentives to entice the natural leader to order products before demand information is revealed. In another one, the natural leader can order products two times, we find that the supplier always can gain more profit from this advance order strategy. Our results show that the first advance order strategy is easier to control but has more strict constraint on coefficients of variation, while both two advance strategies bring more flexibility to the supply chain.

  Yi Han , Jianhu Cai , Ikou Kaku , Yanlai Li and Liping Zhao
  Scatter Search Algorithm (SSA) and Harmony Search Algorithm (HS) are two meta-heuristics proposed respectively in 1977 to solve discrete optimization problems and in 2001 for continuous optimization problems. Currently, both algorithms have been wildly adopted in many optimization fields. In this study, a scheme for combining the scatter search algorithm and harmony search algorithm is proposed with a hope that the proposed algorithm can play an important role in the developing process of intelligence optimization and be suitable for many other research fields. The effectiveness and efficiency are tested through an uncapacitated Single-level Lot-sizing (SLLS) problem. Computational result shows the feasibility of the proposed scheme. The significance of this study is proposing a new algorithm for discrete optimization field and a new tool for SLLS problem.
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