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Based on the uncertainty theory, market demand information updating as the background, we study the coordination and optimization problem of three-stage supply chain in this paper. In half a asymmetric market information, participants are risk neutral; under the situation of the manufacturers and wholesalers having twice pre-season decision-making opportunity, wholesalers can be replenished in the season; manufacturers join the lowest supply contract of commitment: manufacturers for exchanging the information that they cannot get directly from the market will promise wholesalers to have a season lowest supply in pre-season. According to this contract, we establish optimization models of manufacturers and wholesalers respectively, and get the optimal strategy of supply chain members by analyzing the supply chain system. Finally, by giving a numerical example and comparing the results with that under random circumstances, the result is reasonable.

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The automobile manufacturer has been regarded as a great consumer of energy resources and an important origin of carbon emission. Hence, the research on the control strategies of carbon emission is of significant importance to help to save energy and mitigate carbon emission. This paper proposes a logistics and manufacturing management framework of the automobile manufacturer from the viewpoint of energy conservation and emission reduction. Firstly, we ascertain the carbon emission boundary based on three management phases of the automobile manufacturer: the process of the logistics of raw materials and components, the manufacturing process and the waste disposal. Then, based on the analysis of details of energy consumption and carbon emission, we identify several important management problems confronting the automobile manufacturer. Furthermore, we propose some planning and scheduling models towards these management problems by balancing the economic and environmental considerations.

In order to discuss the bullwhip effect in the supply chain with several dealers, a four-level supply chain model is developed based on system dynamics. Through the use of dynamic simulation, the bullwhip effect was evaluated based on several factors such as return proportion, direct utilization proportion of recycling products and sales plan of each dealer. Experimental results show that a higher return proportion and a more direct utilization of recycled products can mitigate the bullwhip effect. Moreover, different sales plan of each dealer has various degrees of influence on the bullwhip effect.