M&SOM - Manufacturing AND Service Operations Management

最新文章

• The Strategic Role of Supplier Learning AI翻译
  作者：Gao, Long; Nikoofal, Mohammad Ebrahim; Zhang, Wei
  作者单位：University of California System; University of California Riverside; Toronto Metropolitan University; Zhejiang University
  摘要：Problem definition: We study a procurement problem, where the supplier holds superior cost information and can learn to improve efficiency over time. Despite its prevalence, the supply chain literature provides limited guidance on how to manage learning suppliers with evolving private information. Methodology/results: We use mechanism design. We show that supplier learning has both efficiency and agency effects, it can induce countervailing incentives, and the agency effect can overwhelm the e...
• A Contextual Ranking and Selection Method for Personalized Medicine AI翻译
  作者：Du, Jianzhong; Gao, Siyang; Chen, Chun-Hung
  作者单位：Fudan University; City University of Hong Kong; City University of Hong Kong; George Mason University
  摘要：Problem definition: Personalized medicine (PM) seeks the best treatment for each patient among a set of available treatment methods. Because a specific treatment does not work well on all patients, traditionally, the best treatment was selected based on the doctor's personal experience and expertise, which is subject to human errors. In the meantime, stochastic models have been well developed in the literature for a lot of major diseases. This gives rise to a simulation-based solution for PM, ...
• Performance Guarantees for Network Revenue Management with Flexible Products AI翻译
  作者：Zhu, Wenchang; Topaloglu, Huseyin
  摘要：Problem definition: We consider network revenue management problems with flexible products. We have a network of resources with limited capacities. To each customer arriving into the system, we offer an assortment of products. The customer chooses a product within the offered assortment or decides to leave without a purchase. The products are flexible in the sense that there are multiple possible combinations of resources that we can use to serve a customer with a purchase for a particular pro...
• Admission Control Bias and Path-Dependent Feedback Under Diagnosis Uncertainty AI翻译
  作者：Kim, Song-Hee; Tong, Jordan
  作者单位：Seoul National University (SNU); University of Wisconsin System; University of Wisconsin Madison
  摘要：Problem definition: Do physicians exhibit predictable behavioral bias when making admission control decisions under patient diagnosis uncertainty with stochastic arrivals and lengths of stay? How can we structure feedback to help improve their decision making? Methodology/results: We use a behavioral model to theorize how a diagnosis anchoring and insufficient adjustment heuristic may lead to an over-rationing bias, and we hypothesize when this bias is greatest. We then propose that feedback f...
• Disease Bundling or Specimen Bundling? Cost- and Capacity-Efficient Strategies for Multidisease Testing with Genetic Assays AI翻译
  作者：Bish, Douglas R.; Bish, Ebru K.; El Hajj, Hussein
  作者单位：University of Alabama System; University of Alabama Tuscaloosa; Santa Clara University
  摘要：Problem definition: Infectious disease screening can be expensive and capacity constrained. We develop cost-and capacity-efficient testing designs for multidisease screening, considering (1) multiplexing (disease bundling), where one assay detects multiple diseases using the same specimen (e.g., nasal swabs, blood), and (2) pooling (specimen bundling), where one assay is used on specimens from multiple subjects bundled in a testing pool. A testing design specifies an assay portfolio (mix of si...
• Sooner or Later? Promising Delivery Speed in Online Retail AI翻译
  作者：Cui, Ruomeng; Lu, Zhikun; Sun, Tianshu; Golden, Joseph M.
  作者单位：Emory University; University of Southern California
  摘要：Problem definition: Online retailers have to provide customers with an estimate of how fast an order can be delivered before they decide to make the purchase. Retailers can strategically adjust this delivery speed promise online without changing offline infrastructure, and doing so may fundamentally impact business outcomes. It can influence consumers' purchasing decisions and postpurchase experiences, often in the opposite direction. On one hand, an aggressive (i.e., faster) delivery estimate...
• Assortment Optimization with Multi-Item Basket Purchase Under Multivariate MNL Model AI翻译
  作者：Jasin, Stefanus; Lyu, Chengyi; Najafi, Sajjad; Zhang, Huanan
  作者单位：University of Michigan System; University of Michigan; University of Colorado System; University of Colorado Boulder; Hautes Etudes Commerciales (HEC) Paris
  摘要：Problem definition: Assortment selection is one of the most important decisions faced by retailers. Most existing papers in the literature assume that customers select at most one item out of the offered assortment. Although this is valid in some cases, it contradicts practical observations in many shopping experiences, both in online and brick-and mortar retail, where customers may buy a basket of products instead of a single item. In this paper, we incorporate customers' multi-item purchase ...
• Interpretable Policies and the Price of Interpretability in Hypertension Treatment Planning AI翻译
  作者：Garcia, Gian-Gabriel P.; Steimle, Lauren N.; Marrero, Wesley J.; Sussman, Jeremy B.
  作者单位：University System of Georgia; Georgia Institute of Technology; Dartmouth College; University of Michigan System; University of Michigan
  摘要：Problem definition: Effective hypertension management is critical to reducing the consequences of atherosclerotic cardiovascular disease, a leading cause of death in the United States. Clinical guidelines for hypertension can be enhanced using decision-analytic approaches capable of capturing complexities in treatment planning. However, model generated recommendations may be uninterpretable/unintuitive, limiting their clinical acceptability. We address this challenge by investigating interpret...
• Multiobjective Stochastic Optimization: A Case of Real-Time Matching in Ride-Sourcing Markets AI翻译
  作者：Lyu, Guodong; Cheung, Wang Chi; Teo, Chung-Piaw; Wang, Hai
  作者单位：Hong Kong University of Science & Technology; National University of Singapore; National University of Singapore; National University of Singapore; Singapore Management University
  摘要：Problem definition: The job of any marketplace is to facilitate the matching of supply with demand in real time. Success is often measured using various metrics. The challenge is to design matching algorithms to balance the tradeoffs among multiple objectives in a stochastic environment, to arrive at a compromise solution, which minimizes say the lp-norm-based distance function between the attained performance metrics and the target performances. Methodology/results: We observe that the sample...
• Managing the Personalized Order-Holding Problem in Online Retailing AI翻译
  作者：Chen, Shouchang; Yan, Zhenzhen; Lim, Yun Fong
  作者单位：Zhejiang University; Nanyang Technological University; Singapore Management University
  摘要：Problem definition: A significant percentage of online consumers place consecutive orders within a short duration. To reduce the total order arrangement cost, an online retailer may consolidate consecutive orders from the same consumer. We investigate how long the retailer should hold the consumer's orders before sending them to a third-party logistics provider (3PL) for processing. In this order-holding problem, we optimize the holding time to balance the total order arrangement cost and the ...