3期

最新文章

• Dynamic Assignment of Flexible Service Resources AI翻译
  作者：Akcay, Yalcin; Balakrishnan, Anant; Xu, Susan H.
  作者单位：Koc University; University of Texas System; University of Texas Austin; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park
  摘要：Resource flexibility is an important tool for firms to better match capacity with demand so as to increase revenues and improve service levels. However, in service contexts that require dynamically deciding whether to accept incoming jobs and what resource to assign to each accepted job, harnessing the benefits of flexibility requires using effective methods for making these operational decisions. Motivated by the resource deployment decisions facing a professional service firm in the workplac...
• Optimization and Coordination of Fresh Product Supply Chains with Freshness-Keeping Effort AI翻译
  作者：Cai, Xiaoqiang; Chen, Jian; Xiao, Yongbo; Xu, Xiaolin
  作者单位：Chinese University of Hong Kong; Tsinghua University; Nanjing University
  摘要：We consider a supply chain in which a distributor procures from a producer a quantity of a fresh product, which has to undergo a long-distance transportation to reach the target market. During the transportation process, the distributor has to make an appropriate effort to preserve the freshness of the product, and his success in this respect impacts on both the quality and quantity of the product delivered to the market. The distributor has to determine his order quantity, level of freshness-...
• Intelligent Procedures for Intra-Day Updating of Call Center Agent Schedules AI翻译
  作者：Mehrotra, Vijay; Ozluk, Ozguer; Saltzman, Robert
  作者单位：University of San Francisco; California State University System; San Francisco State University
  摘要：For nearly all call centers, agent schedules are typically created several days or weeks before the time that agents report to work. After schedules are created, call center resource managers receive additional information that can affect forecasted workload and resource availability. In particular, there is significant evidence, both among practitioners and in the research literature, suggesting that actual call arrival volumes early in a scheduling period (typically an individual day or week...