Institution
College of Management and Economics
About: College of Management and Economics is a based out in . It is known for research contribution in the topics: Supply chain & Stock market. The organization has 2184 authors who have published 2193 publications receiving 28830 citations.
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the authors considered a supply chain where a manufacturer builds the capacity and sets the wholesale price, and a retailer sets retail price and holds the advantage of demand information.
Abstract: This paper considers a supply chain where a manufacturer builds the capacity and sets the wholesale price, and a retailer sets retail price and holds the advantage of demand information. There are two means to solve supply-demand mismatch: the retailer makes the forecast information-sharing strategy, and the manufacturer chooses volume flexibility that can postpone production after demand is observed. We focus on the retailer’s incentive for sharing private forecast information which is made to affect the follow-up action of manufacturer’s volume flexibility choice. A multi-stage game is formulated and the equilibria are obtained. It is shown that if the market fluctuation is relatively large, the manufacturer is more willing to choose volume flexibility under information sharing than under no information sharing; otherwise, the manufacturer is less willing to choose volume flexibility under information sharing than under no information sharing. Further, when the investment cost is relatively large and market fluctuation is relatively small, there may arise a prisoner’s dilemma, such that neither means (information sharing or volume flexibility) is taken, but higher profits are attained through implementing the two means. Last, if information-sharing commitment is made after volume flexibility choice, the retailer never shares the forecast information when the manufacturer commits to choosing volume flexibility, which enlarges the system parameter region for the prisoner’s dilemma occurring. Thus, it is optimal for both parties with the information-sharing decision made before volume flexibility choice.
23 citations
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TL;DR: In this model, a static fault tree is established to show risk scenarios, and Dynamic Bayesian network and Bayesian inference are introduced to analyze the operations of medical devices, in consideration of their failures, repairs, and human errors over time.
23 citations
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TL;DR: This study proposes a new integrated station location and rebalancing vehicle service design model that can achieve larger mean and worst-case revenues and a higher revenue stability than a stochastic model with a small data set.
23 citations
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TL;DR: Wang et al. as mentioned in this paper proposed to evaluate the energy-environmental efficiency of China industrial sector and its driving factors at a dynamic change perspective, combining super-slack-based measure (Super-SBM) model and Malmquist index.
Abstract: With the process of urbanization and industrialization, a growing attention has been paid to the energy–environmental efficiency in China’s industrial sector. Such researches mainly focused on calculating the efficiency and exploring its driving factors at sectoral, provincial and regional perspectives. In this paper, we proposed to evaluate the energy–environmental efficiency of China’ industrial sector and its driving factors at a dynamic change perspective. Combining super-slack-based measure (Super-SBM) model and Malmquist index, this paper calculated the energy–environmental efficiency of China’s 30 provinces (municipalities and autonomous regions) from 2012 to 2016 and captured its dynamic change. Then we aggregated China’s 30 provinces into three groups based on their relevant dynamic change values, namely high-growth, mid-growth and low-growth groups. Finally, we verified the impact of investment in pollution control on industrial energy–environmental efficiency in different groups. The results showed that: Beijing, Inner Mongolia, Guangdong, Hunan, Tianjin and Shaanxi performed efficiently during the whole study period. Most provinces have improved their energy–environmental efficiency from 2012 to 2016. The decomposition results indicated that the technology change was responsible for the growth of energy–environmental efficiency. Economic development level positively and significantly influenced the energy–environmental efficiency of the industrial sector as a whole and three groups, while pollution control investment had a significantly negative effect on energy–environmental efficiency of high-growth and low-growth groups. This study concluded that all the provinces should pay attention to technology progress and sustainable pollution control investment for improving the energy–environmental efficiency in the long term. Additionally, differentiated strategies to improve energy–environmental efficiency for different provinces and groups should be implemented.
23 citations
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TL;DR: A bi-level deterioration model to predict the condition of sewer pipes at a neighborhood level and an individual level is proposed and Deterioration curves are derived from the individual prediction model, which facilitates better decision making with respect to sewer pipe maintenance.
23 citations
Authors
Showing all 2184 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jian Zuo | 60 | 526 | 12698 |
Ying Fan | 54 | 236 | 10378 |
Justin Tan | 52 | 118 | 10076 |
ZhongXiang Zhang | 45 | 271 | 6159 |
Ning Zhu | 43 | 156 | 8509 |
Wenjun Wu | 39 | 120 | 5485 |
Thanasis Stengos | 38 | 249 | 6053 |
Baofeng Huo | 37 | 99 | 7153 |
Patrick X.W. Zou | 35 | 177 | 4205 |
Yejun Xu | 34 | 111 | 3492 |
Yanan Wang | 34 | 224 | 4108 |
Yongjian Li | 32 | 104 | 3017 |
Yi Wu | 31 | 149 | 2775 |
Wansheng Tang | 31 | 192 | 3190 |
Xi Zhang | 30 | 153 | 2418 |