Production and Operations Management

最新文章

• Robin Hood to the Rescue: Sustainable Revenue-Allocation Schemes for Data Cooperatives AI翻译
  作者：Dawande, Milind; Mehta, Sameer; Mu, Liying
  作者单位：University of Texas System; University of Texas Dallas; Erasmus University Rotterdam - Excl Erasmus MC; Erasmus University Rotterdam; University of Delaware
  摘要：The promise of consumer data along with advances in information technology has spurred innovation not only in the way firms conduct their business operations but also in the manner in which data are collected. A prominent institutional structure that has recently emerged is a data cooperative-an organization that collects data from its members, and processes and monetizes the pooled data. A characteristic of consumer data is the externality it generates: Data shared by an individual reveal inf...
• Supply chain preparedness: How operational settings, product and disaster characteristics affect humanitarian responses AI翻译
  作者：Stumpf, Jonas; Besiou, Maria; Wakolbinger, Tina
  作者单位：Kuhne Logistics University; Vienna University of Economics & Business; Kuhne Logistics University
  摘要：Supply chains are dynamic and complex systems. This holds particularly true for humanitarian supply chains that operate under strong uncertainty. In view of an ever-growing gap of unmet humanitarian needs, it is essential to gain a better understanding of the behavior of humanitarian supply chain systems. Despite a growing academic output in this field, there is a lack of empirical studies that take an integrated view on humanitarian supply chains and support decision makers with fact-based ev...
• Smart navigation via strategic communications in a mixed autonomous paradigm AI翻译
  作者：Chen, Yonghui; Xu, Ailing; He, Qiao-Chu; Chen, Ying-Ju
  作者单位：Hong Kong University of Science & Technology; Southern University of Science & Technology; Hong Kong University of Science & Technology; Southern University of Science & Technology
  摘要：Motivated by the emerging mixed autonomous paradigm in cobotic order picking operations, we investigate the optimal information design to navigate human workers (HWs) who cooperate with autonomous mobile robots (AMRs) within an intralogistics system. We incorporate asymmetric information between AMRs and HWs in a routing game where connected AMRs are informed of the congestion state while HWs rely on information provided by the system. The system designs a communication policy aiming to naviga...
• 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...