2期

最新文章

• Why and How Seru Production Systems Are Responsive and Efficient in Volatile Markets AI翻译
  作者：Li, Dongni; Stecke, Kathryn E.; Yin, Yong; Fang, Kan; Jin, Hongbo; Kaku, Ikou
  作者单位：Beijing Institute of Technology; University of Texas System; University of Texas Dallas; Doshisha University; Tianjin University; Tianjin University; Tokyo City University
  摘要：Seru production systems have demonstrated excellent rapid response capabilities in both stable and uncertain environments. This study reveals that when compared to the Toyota Production System, the seru production method improves rapid response capabilities by 20% and 50% in stable and uncertain environments, respectively. The underlying reasons for this improvement were unclear, so this became a focus of this paper. Static and dynamic Just-In-Time Organization Systems are used to investigate ...
• Deep Reinforcement Learning for Online Assortment Customization: A Data-Driven Approach AI翻译
  作者：Li, Tao; Wang, Chenhao; Wang, Yao; Tang, Shaojie; Chen, Ningyuan
  作者单位：Xi'an Jiaotong University; Hong Kong University of Science & Technology; Tongji University; Xi'an Jiaotong University; State University of New York (SUNY) System; University at Buffalo, SUNY; University of Toronto
  摘要：When a platform has limited inventory, it is important to have a variety of products available for each customer while managing the remaining stock. To maximize revenue over the long term, the assortment policy needs to take into account the complex purchasing behavior of customers whose arrival orders and preferences may be unknown. We propose a data-driven approach for dynamic assortment planning that utilizes historical customer arrivals and transaction data. To address the challenge of onl...
• Fleet Repositioning for Vehicle Sharing Systems: Asymptotic Optimality of the Balanced Myopic Policy AI翻译
  作者：Yang, Yihang; Yu, Yimin; Wang, Qian; Liu, Junming
  作者单位：Xi'an Jiaotong University; City University of Hong Kong; Lingnan University
  摘要：We investigate the fleet repositioning problem aimed at dynamically optimizing vehicle distributions to maximize long-run average social welfare in a vehicle-sharing system. We model the problem as a Markov decision process under the ex ante committed decision scheme, characterizing the balanced myopic policy as optimal for the average reward setting. This policy efficiently aligns vehicle supply with trip demand and mitigates the curse of dimensionality, enhancing computational efficiency sig...
• Old But Gold? Product Design Innovation and the Value of Used Products in Secondhand Markets AI翻译
  作者：Gu, Xian; Bu, Juan; Li, Krista J.
  作者单位：Indiana University System; IU Kelley School of Business; Indiana University Bloomington
  摘要：An important global trend today is the rise of the secondhand market powered by consumers' desire for sustainability and affordability, as well as a surge in the use of digital resale platforms. While marketing research has primarily focused on the success of new product markets, scant research has tried to understand secondhand markets. To advance knowledge in this area, we investigate how product design innovation affects the value of used products in secondhand markets. Specifically, we dev...
• Robotic Mobile Fulfillment Systems: Strategies for Pod Selection and Scheduling AI翻译
  作者：Kizil, Kerim U.; Sriskandarajah, Chelliah; Stauffer, Jon M.
  作者单位：Texas A&M University College Station; Mays Business School; Texas A&M University System; Texas A&M University College Station
  摘要：Robotic mobile fulfillment (RMF) systems automate storage and transportation within fulfillment centers while still relying on human pickers. We focus on two key performance metrics in these systems, aiming to minimize overall completion time (OCT) as the primary objective and the number of required robots (NRR) as a secondary objective. We investigate two interrelated operational problems influencing these metrics: (i) Pod selection, which involves choosing the mobile racks for item picking, ...
• Impact of Recreational Marijuana Legalization on Hotel Performance and Operations: A Bayesian Causal Inference Approach AI翻译
  作者：Jiang, Juncai; Zach, Florian J.; Bruce, Norris, I
  作者单位：State University System of Florida; University of Central Florida; Virginia Polytechnic Institute & State University; University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina School of Medicine
  摘要：This article investigates the effects of legalizing recreational marijuana dispensaries on hotel performance and operations using Bayesian causal inference within the potential outcomes framework. Focusing on Colorado, the study finds that, on average, hotel revenue increases by 25.2% (or $63,671 monthly) due to dispensary legalization, with the effect continuing to grow even 6 years after legalization. The revenue boost arises from a 7.9% increase in room night bookings and a 16.0% rise in da...