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2014) An order allocation model in logistics service supply chain based on the pre-estimate behaviour and competitive-bidding strategyIn previous studies on the order allocation of the supply chain, suppliers involved in order allocation are expected to accept orders passively. However, in the actual order allocation process of logistics service supply chain (LSSC), functional logistics service providers (FLSPs) are strategic. They will pre-estimate the order allocation results to decide whether or not to participate in order allocation. Besides, FLSPs will compete for orders by bidding strategy when there are more than one FLSP in order allocation. Therefore, it is necessary to introduce the pre-estimate behaviour and competitive-bidding strategy of FLSPs into the study of order allocation in LSSC. In this article, the pre-estimate behaviour and competitive-bidding strategy are considered and the bidding range of each FLSP is obtained. It is assumed that the logistics service integrator (LSI) allocates the order sequentially to FLSPs from the lowest price to highest price. Then, a multi-objective dynamic programming model with the objectives of the cost of LSI and the order satisfaction of FLSPs is built. Numerical analysis is followed to discuss the effects of some parameters on the order allocation results. Research shows that the quote of a FLSP only depends on its own cost and the highest industry cost but irrelevant to the industry lowest cost when considering competitive-bidding strategy of FLSPs; besides, too low or too high in industry cost affects the performance of order allocation; furthermore, pre-estimate behaviour and competitive-bidding strategy of FLSPs can help reduce the order allocation cost of LSI and improve the performance of LSSC. In the end, an example of Tianjin Baoyun Logistics Company is used to introduce the order allocation process of logistics service when Baoyun considers pre-estimate behaviour and competitive-bidding strategy of FLSPs, which helps to illustrate the application of model conclusions.

Scheduling is crucial to the operation of logistics service supply chain (LSSC), so scientific performance evaluation method is required to evaluate the scheduling performance. Different from general project performance evaluation, scheduling activities are usually continuous and multiperiod. Therefore, the weight of scheduling performance evaluation index is not unchanged, but dynamically varied. In this paper, the factors that influence the scheduling performance are analyzed in three levels which are strategic environment, operating process, and scheduling results. Based on these three levels, the scheduling performance evaluation index system of LSSC is established. In all, a new performance evaluation method proposed based on dynamic index weight will have three innovation points. Firstly, a multiphase dynamic interaction method is introduced to improve the quality of quantification. Secondly, due to the large quantity of second-level indexes and the requirements of dynamic weight adjustment, the maximum attribute deviation method is introduced to determine weight of second-level indexes, which can remove the uncertainty of subjective factors. Thirdly, an adjustment coefficient method based on set-valued statistics is introduced to determine the first-level indexes weight. In the end, an application example from a logistics company in China is given to illustrate the effectiveness of the proposed method.

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