2023

最新文章

• Just-in-time for supply chains in turbulent times AI翻译
  作者：Choi, Thomas Y.; Netland, Torbjorn H.; Sanders, Nada; Sodhi, ManMohan S.; Wagner, Stephan M.
  作者单位：Arizona State University; Arizona State University-Tempe; Swiss Federal Institutes of Technology Domain; ETH Zurich; Northeastern University; City St Georges, University of London; City St Georges, University of London
  摘要：The Covid-19 pandemic and other recent disruptions in the early 2020s led to sections in the business press blaming just-in-time (JIT) practices for operational failings. Consequently, there are calls for moving away from JIT toward holding more inventory as preparation against future disruptions, which is referred to as just-in-case. The academic community is also divided. Some scholars argue that JIT is not resilient, while others maintain that JIT can continue providing superior performance...
• Setting wait time targets in a multi-priority patient setting AI翻译
  作者：Babashov, Vusal; Saure, Antoine; Ozturk, Onur; Patrick, Jonathan
  作者单位：University of Ottawa
  摘要：In current clinical practice, priority-specific wait time targets are usually determined based on the consensus of medical specialists and health care administrators. The rationale behind this approach considers clinical urgency but it does not consider the efficient use of clinical resources and the patient volume associated with each priority class. The approach we present here aims to determine wait time targets in a systematic fashion that both respects clinically acceptable maximum recomm...
• Redundancy allocation under state-dependent distributional uncertainty of component lifetimes AI翻译
  作者：Li, Jun; Huang, Yizhe; Li, Yan-Fu; Wang, Shuming
  作者单位：Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; University of Texas System; University of Texas Austin; Tsinghua University
  摘要：In this paper, we consider a redundancy allocation problem in a series-parallel system with uncertain component lifetimes of multiple states, which involves multitype components and mixed redundancy strategy. We develop a distributionally robust redundancy allocation model using state-dependent ambiguity set, which describes the mean, expected cross-deviation, and the support conditional on each state of the component lifetime distribution. Our structural analysis of the worst-case system reli...
• Pandemic lockdown, isolation, and exit policies based on machine learning predictions AI翻译
  作者：Evgeniou, Theodoros; Fekom, Mathilde; Ovchinnikov, Anton; Porcher, Raphael; Pouchol, Camille; Vayatis, Nicolas
  作者单位：Universite Paris Saclay; Universite Paris Cite; Queens University - Canada; Institut National de la Sante et de la Recherche Medicale (Inserm); Universite Paris Cite; Universite Paris Cite; Centre National de la Recherche Scientifique (CNRS); CNRS - National Institute for Mathematical Sciences (INSMI)
  摘要：The widespread lockdowns imposed in many countries at the beginning of the COVID-19 pandemic elevated the importance of research on pandemic management when medical solutions such as vaccines are unavailable. We present a framework that combines a standard epidemiological SEIR (susceptible-exposed-infected-removed) model with an equally standard machine learning classification model for clinical severity risk, defined as an individual's risk of needing intensive care unit (ICU) treatment if in...
• Managing disease containment measures during a pandemic AI翻译
  作者：Shahmanzari, Masoud; Tanrisever, Fehmi; Eryarsoy, Enes; Sensoy, Ahmet
  作者单位：Ozyegin University; Brunel University; Ihsan Dogramaci Bilkent University; Sabanci University
  摘要：Throughout the current COVID-19 pandemic, governments have implemented a variety of containment measures, ranging from hoping for herd immunity (which is essentially no containment) to mandating complete lockdown. On the one hand, containment measures reduce lives lost by limiting the disease spread and controlling the load on the healthcare system. On the other hand, such measures slow down economic activity, leading to lost jobs, economic stall, and societal disturbances, such as protests, c...
• Games of supplier encroachment channel selection and e-tailer's information sharing AI翻译
  作者：Tang, Yanli; Sethi, Suresh P.; Wang, Yulan
  作者单位：Sun Yat Sen University; University of Texas System; University of Texas Dallas; Hong Kong Polytechnic University
  摘要：We consider an e-tailer's upstream supplier who wants to encroach into retailing to earn additional revenue. The supplier needs to decide whether or not to enter the retail market by either selling to consumers on the e-tailer's platform by paying commission fees (agency encroachment) or opening an independent online/offline retail store (direct encroachment). The e-tailer has private demand information and decides whether or not to share it with the supplier. Two leadership scenarios-the supp...
• How incumbents beat disruption? Evidence from hotel responses to home sharing AI翻译
  作者：Liu, Jianwei; Xie, Karen; Chen, Wei; Liu, Yong; Sun, Yunlong
  作者单位：Dalian University of Technology; University of Denver; University of Arizona; Fudan University; Fudan University
  摘要：As the sharing economy continues to disrupt incumbent services, whether and how incumbents respond to the competition remains largely unknown. We investigate how incumbents can utilize management responses-a managerial intervention to guest reviews-to exploit performance improvement opportunities in guest reviews and sustain competitive advantage facing increased competition from home sharing. Our method integrates quasi-experiments, topic modeling, and deep learning techniques to not only est...
• Sourcing and pricing decisions under upstream competition with a financially distressed supplier, endogenous bankruptcy risk, and a backup supply option AI翻译
  作者：Gernert, Andreas K.; Wuttke, David A.; Heese, H. Sebastian
  作者单位：Kuhne Logistics University; Technical University of Munich; North Carolina State University; North Carolina State University
  摘要：To maintain future supplier competition, manufacturers may support financially distressed suppliers by sourcing from them, even if they are less efficient than competitors, and by procuring larger quantities from them at higher prices. We analyze these strategies in a model in which a manufacturer decides for one of two available suppliers, supplier bankruptcy risk is endogenous, and financial distress can lead to internal or external reorganization. Following bankruptcy, the remaining supplie...
• Gaining by ceding - bounded wholesale pricing for information sharing in a supply chain AI翻译
  作者：Li, Tian; Zhang, Hongtao
  作者单位：East China University of Science & Technology; Hong Kong University of Science & Technology; East China University of Science & Technology
  摘要：The extant research on supply chain information sharing under wholesale pricing often assumes a model where the manufacturer can unilaterally set any wholesale price, and the retailer decides retail quantity or price while taking the wholesale price as given. Whereas this model may actually reflect the relative market power in some situations, its implementation misses out on certain win-win opportunities that could arise from information sharing. We propose a new wholesale pricing mechanism t...
• Peer-to-peer sharing platforms with quality differentiation: Manufacturer's strategic decision under sharing economy AI翻译
  作者：Guan, Huiqi; Geng, Xin; Gurnani, Haresh
  作者单位：Fudan University; University of Miami; Wake Forest University
  摘要：As peer-to-peer sharing platforms emerge in the downstream market, upstream product manufacturers may build their exclusive sharing platform, seeking benefits from the sharing market. To study the profit and welfare implications of the emergence of sharing economy and manufacturer's platform-building strategy, we employ a vertically differentiated duopoly setting and consider three scenarios: no-sharing benchmark, a single third-party platform emerged, and manufacturer-built platform co-existi...