Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
Articles by Tao Gao
Total Records ( 3 ) for Tao Gao
  Guo Li , Bingzong Peng , Tao Gao and Zhaohua Wang
  A well-coordinated assembly system plays an important role in an enterprise’s strategic management. As the uncertainty of the supply chain is increasing, coordinating the assembly system effectively under supply disruption becomes a critical success factor for a global supply chain system. In this study, we consider an assembly system with two suppliers and one manufacturer and formulate the model of each partner with bonus policy under supply disruption. The optimal decision of each partner is analyzed under decentralized decision. Then we optimize the total cost of assembly system under centralized decision which is regarded as the benchmark. Furthermore, to achieve this benchmark, the compensation mechanism is designed to coordinate the assembly system under supply disruption. At last, the sensitivity is analyzed and the numerical analysis shows that our compensation mechanism is reasonable and effective.
  Mengqi Liu , Guo Li and Tao Gao
  Supply replenishment mode between suppliers and the manufacturer is considered in upstream assembly system. Furthermore, collaborative replenishment mode in assembly system is analyzed based on supply-hub. To illustrate superiority of the supply-hub, the other two replenishment modes, called traditional lot-for-lot mode and modified lot-for-lot mode with “milk run”, are introduced. The optimal decision-making is analyzed in these three different replenishment modes. Finally, numerical simulations are conducted and the total cost is compared with these three replenishment mode, which indicates the significance and superiority of replenishment mode with supply-hub in assembly system.
  Guo Li , Mengqi Liu , Tao Gao and Zhaohua Wang
  The literature under random component yield has focused on coordination of supply chain at the determined price, where decision maker chooses its optimal production quantities. We considered a centralized system when the price is not determined under both random yield and demand. Type A with perfect quality and type B with imperfect quality are produced due to the random yield. We prove the unique concavity of expected profit in centralized system at determined price. Then dynamic pricing is considered and algorithm is put forward for dynamic pricing. Errors can be sufficiently small as long as some parameters can be set suitably. Apart from lot sizing and dynamic pricing, we also provide qualitative insights based on numerical illustration of centralized and decentralized solutions.
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility