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In view of the trend of upsizing ships, the physical limitations of natural waterways, huge expenses, and unsustainable environmental impact of channel widening, this paper aims to provide a cost-efficient but applicable solution to improve the operational performance of container terminals that are enduring inefficiency caused by channel traffic limitations. We propose a novel berth scheduling problem considering the traffic limitations in the navigation channel, which appears in many cases including insufficient channel width, bad weather, poor visibility, channel accidents, maintenance dredging of the navigation channel, large vessels passing through the channel, and so on. To optimally utilize the berth and improve the service quality for customers, we propose a mixed-integer linear programming model to formulate the berth scheduling problem under the one-way ship traffic rule in the navigation channel. Furthermore, we develop a more generalized model which can cope with hybrid traffic in the navigation channel including one-way traffic, two-way traffic, and temporary closure of the navigation channel. For large-scale problems, a hybrid simulated annealing algorithm, which employs a problem-specific heuristic, is presented to reduce the computational time. Computational experiments are performed to evaluate the effectiveness and practicability of the proposed method.
Ya Xu; Kelei Xue; Yuquan Du. Berth Scheduling Problem Considering Traffic Limitations in the Navigation Channel. Sustainability 2018, 10, 4795 .
AMA StyleYa Xu, Kelei Xue, Yuquan Du. Berth Scheduling Problem Considering Traffic Limitations in the Navigation Channel. Sustainability. 2018; 10 (12):4795.
Chicago/Turabian StyleYa Xu; Kelei Xue; Yuquan Du. 2018. "Berth Scheduling Problem Considering Traffic Limitations in the Navigation Channel." Sustainability 10, no. 12: 4795.
Supply disruption is a common phenomenon in industry, which brings destructive effects to downstream firms and damages the sustainability of the supply chain. To mitigate the supply disruption risk, the authors investigate two types of procurement strategies for a firm with two ordering opportunities. Through establishing Stackelberg game models, the authors drive the supplier’s optimal production, and the firm’s optimal procurement and replenishment strategies under the option purchase (OP) strategy and the procurement commitment (PC) strategy, respectively. The findings show that, under both types of strategies, the firm’s procurement follows a “threshold” principle. Moreover, the firm’s procurement quantity can be represented by two newsvendor solutions. A lower option price or option exercise price benefits the firm, while it damages the supplier. The supplier benefits from a higher mean value (MV) of emergency procurement price and the firm benefits from a lower market demand variability. Counter-intuitively, a lower MV of the emergency procurement price is not always beneficial to the firm. A higher market demand variability could be beneficial to the supplier under the PC strategy. The firm should first choose the PC strategy and then change to the OP strategy as the disruption risk increases.
Kelei Xue; Ya Xu; Lipan Feng. Managing Procurement for a Firm with Two Ordering Opportunities under Supply Disruption Risk. Sustainability 2018, 10, 3293 .
AMA StyleKelei Xue, Ya Xu, Lipan Feng. Managing Procurement for a Firm with Two Ordering Opportunities under Supply Disruption Risk. Sustainability. 2018; 10 (9):3293.
Chicago/Turabian StyleKelei Xue; Ya Xu; Lipan Feng. 2018. "Managing Procurement for a Firm with Two Ordering Opportunities under Supply Disruption Risk." Sustainability 10, no. 9: 3293.
This paper aims to provide an applicable managerial solution to reduce the losses and impacts from an unexpected shutdown of a terminal by facilitating cooperation between two adjacent terminals that are managed by different operators. In view of the autonomy of different terminals, we focus on not only berth scheduling in the emergency situation, but also interest coordination between different terminals. We propose a novel mechanism based on price adjustment and transfer payment, which can induce the joint optimal scheduling of different terminals in an emergency situation through cooperation between terminals based on decentralized decision making. Extensive experiments show that the berth scheduling achieved under the proposed mechanism can significantly reduce the loss that results from the shutdown of a terminal and provide economic benefits to both terminals.
Ya Xu; Yuquan Du; Yongjian Li; Heng Zhang. Collaborative emergency berth scheduling based on decentralized decision and price mechanism. Annals of Operations Research 2018, 298, 525 -554.
AMA StyleYa Xu, Yuquan Du, Yongjian Li, Heng Zhang. Collaborative emergency berth scheduling based on decentralized decision and price mechanism. Annals of Operations Research. 2018; 298 (1-2):525-554.
Chicago/Turabian StyleYa Xu; Yuquan Du; Yongjian Li; Heng Zhang. 2018. "Collaborative emergency berth scheduling based on decentralized decision and price mechanism." Annals of Operations Research 298, no. 1-2: 525-554.
Pearl River Delta (Pearl River Delta is located in the south central part of Guangdong Province and comprises nine cities, Guangzhou, Shenzhen, Zhuhai, Foshan, Jiangmen, Dongguan, Zhongshan, Huizhou and Zhaoqing, with a total area of 41,698 km2) is China’s first region where the “reform and opening-up” policy was implemented in 1979. Many governmental policy measures were initially launched in this region, and brought in a rapid development of its economy and changes in the society. The region’s progressive experience has played a demonstration role on economic development in China. In recent years, Pearl River Delta has actively promoted the transformation of its economic structure and developmental method, which has put forth new requirements on the region’s logistics development.
Ya Xu. Logistics Development of Pearl River Delta. Current Chinese Economic Report Series 2013, 69 -87.
AMA StyleYa Xu. Logistics Development of Pearl River Delta. Current Chinese Economic Report Series. 2013; ():69-87.
Chicago/Turabian StyleYa Xu. 2013. "Logistics Development of Pearl River Delta." Current Chinese Economic Report Series , no. : 69-87.