DECISION SCIENCES最新文献

{"title":"Optimal policies for nutrition administration to very low birth weight infants","authors":"Irem Sengul Orgut, Gustave H. Falciglia, Karen Smilowitz","doi":"10.1111/deci.12629","DOIUrl":"https://doi.org/10.1111/deci.12629","url":null,"abstract":"Very low birth weight (VLBW) infants (birth weight 1500 grams) are at risk of postnatal growth restriction. Understanding how nutrition is associated with growth and how these associations vary based on infant characteristics and comorbidities is important to reduce postnatal growth restriction. We propose a three‐step analytical framework: (i) We use unsupervised Clustering techniques to identify subgroups within a cohort of VLBW infants based on infant characteristics, diagnoses, and treatments. (ii) For each cluster, we use Multilevel Modeling to explore the associations between calorie or protein intake and growth velocity (GV) for varying time windows. (iii) We build Mixed‐Integer Programming Models to achieve simple rule‐based policies that physicians can use to classify infants into one of the identified subgroups. We use electronic health records from VLBW infants at Lurie Children's Hospital in Chicago, IL, born between 2011 and 2014. We find that clustering separates infants into two clusters, with Cluster 1 having smaller infants with more comorbidities than Cluster 2. Initial clustering on only sex and birth weight provides results similar to clustering on later‐life diagnoses and treatments. Multilevel models with Clustering provide better model fit than models without clustering. For Cluster 1, there is a significant association between GV and protein but not calories. For Cluster 2, both protein and calories are individually associated with growth. We develop accurate and sparse scoring systems to help clinicians identify infants at higher risk of growth restriction and consider nutrition regimens accordingly.","PeriodicalId":48256,"journal":{"name":"DECISION SCIENCES","volume":"1 1","pages":""},"PeriodicalIF":5.5,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140941057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Consolidate? Diversify? Post‐M&A supply base structural changes and operational performance","authors":"Yang Sophie Yang‐Sun, Sangho Chae, Tingting Yan, Kevin Linderman","doi":"10.1111/deci.12631","DOIUrl":"https://doi.org/10.1111/deci.12631","url":null,"abstract":"Firms increasingly engage in mergers and acquisitions (M&As) to improve their network positions and enhance performance. Yet, how the fundamental structure of the merged supply base changes after the M&A and how the structural changes affect the performance are largely unknown. Building upon the strategy‐structure‐performance framework, this study investigates dual roles of supply base structural changes in M&A events, namely, as an outcome and as a moderator to post‐M&A performance. In particular, we examine how the size and the country diversity of the merged supply base change after M&As, as well as how these structural changes affect the merged firm's operational performance. We conduct a difference‐in‐differences analysis by comparing firms that engaged in M&A events (treatment group) with those comparable firms that did not engage in any M&A events (control group). The results show that the merged firms tend to reduce the size of their supply bases after M&As. In addition, our results demonstrate that both supply base consolidation (i.e., reducing the number of suppliers) and country diversification (i.e., spreading suppliers across multiple countries) improve the merged firms’ post‐M&A operational performance, an effect that becomes stronger for horizontal M&As. We also explore how the type of M&As (i.e., horizontal vs. nonhorizontal), industry relatedness between the two merging firms, and the purposes of M&As affect the post‐M&A structural changes to the supply bases. This study helps inform supply managers the important roles of supply base in M&As to enhance post‐M&A operational performance or to limit the synergies when not properly done.","PeriodicalId":48256,"journal":{"name":"DECISION SCIENCES","volume":"27 1","pages":""},"PeriodicalIF":5.5,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140941056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Implementing innovations in US transplantation system","authors":"Sridhar Tayur","doi":"10.1111/deci.12632","DOIUrl":"10.1111/deci.12632","url":null,"abstract":"<p>Can <i>private jets</i> help save lives? Yes. Can <i>short videos</i> nudge next-of-kin to donate more? Also, yes. How has an outsider to the transplantation system, with no previous knowledge or expertise in (any aspect of) healthcare, managed to make a difference? Is imagination really more important than knowledge? In this invited article, I will briefly describe two innovations—OrganJet and Nudge Videos—that I have implemented in the US Transplantation System that have extended the lives of many.</p>","PeriodicalId":48256,"journal":{"name":"DECISION SCIENCES","volume":"55 3","pages":"215-226"},"PeriodicalIF":2.8,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/deci.12632","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140840816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting mean and variance in inventory order decisions","authors":"Li Chen,&nbsp;Andrew M. Davis,&nbsp;Dayoung Kim","doi":"10.1111/deci.12627","DOIUrl":"10.1111/deci.12627","url":null,"abstract":"<p>We develop a simple forecast-anchoring model to explain and predict the mean and variance of observed inventory order decisions in a newsvendor problem. The model assumes that people employ a two-step decision heuristic. In the first step, a behavioral bias may gravitate the decision maker's point forecast toward a random forecast versus a constant unbiased forecast. In the second step, a behavioral bias of the same magnitude may cause the decision maker to treat the point forecast as if it is the mean of potential demand, and then make an upward or downward adjustment depending on the underage and overage costs. We evaluate the performance of this descriptive forecast-anchoring model across five experimental newsvendor data sets. First, we fit the model to a setting with uniform demand. We then use the corresponding estimates to generate predictions in a secondary data set with uniform demand, as an out-of-sample test. We proceed to fit the model to three additional newsvendor data sets, two with normal demand and one with asymmetric two-point demand. In all cases, the model predicts the mean and variance of inventory order decisions well. We further investigate the profit implications under the forecast-anchoring model and find that the predictions match well with the experimental data. Through improved predictions, the model can help upstream supply chain parties anticipate inventory order decisions from buyers and improve profitability.</p>","PeriodicalId":48256,"journal":{"name":"DECISION SCIENCES","volume":"55 4","pages":"346-362"},"PeriodicalIF":2.8,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140561557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using intermediate points in parcel delivery operations with truck-based autonomous drones","authors":"Bo Lan, Yoshinori Suzuki","doi":"10.1111/deci.12628","DOIUrl":"https://doi.org/10.1111/deci.12628","url":null,"abstract":"Autonomous drones are no longer science fiction but are becoming reality. Prior studies have investigated how an autonomous drone can be used in conjunction with a parcel delivery truck, but they all restricted the drones’ launch/recovery sites to customer nodes visited by a truck. In practice, parcel carriers are considering the use of intermediate points (IPs), the sites found along the arcs connecting customer nodes, as drones' launch/recovery points. This means that the academic literature currently lags the industry practice. This article extends the previous works on truck-and-drone last-mile delivery by investigating the conditions under which the use of IPs is beneficial by using both theoretical and empirical approaches. Our results show that, although using IPs is an effective concept that can save the cost (time) of package deliveries by 2.189% on average, the cost saving realized by using IPs can vary notably across carriers depending on their network characteristics. Specifically, our results suggest that the benefit of using IPs becomes high when a network has the following characteristics: (1) low customer density (a small number of customers served per square mile), and (2) large number of time-sensitive packages (subject to time window constraints). Based on these findings, we provide normative implications on if, when, where, and to what extent IPs can be beneficial for the truck-and-drone joint operations in last-mile logistics.","PeriodicalId":48256,"journal":{"name":"DECISION SCIENCES","volume":"52 1","pages":""},"PeriodicalIF":5.5,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140298203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Order basket contents and consumer returns","authors":"Mengmeng Wang, Guangzhi Shang, Ying Rong, Michael R. Galbreth","doi":"10.1111/deci.12625","DOIUrl":"https://doi.org/10.1111/deci.12625","url":null,"abstract":"Although lenient return policies can drive sales and customer loyalty, they have also resulted in enormous returns volumes and reverse logistics costs. Online retailers often feel compelled to offer free returns, but are then faced with numerous operational challenges, ranging from accurately forecasting returns volumes to identifying presales strategies to reduce the likelihood that a (costly) return occurs. In this research, we consider how the complementarity of the products within an order basket is related to consumer returns. By developing an understanding of the link between basket contents and returns, we can improve order‐level returns forecasts, while also providing insights into the effect of basket recommendations on the expected return rate. We take a multimethod approach to this problem. First, we use a stylized model to generate theoretical predictions regarding how within‐basket complementarity should influence return probability. Next, we propose a data‐driven measure of complementarity, degree of copurchase (DCP), which is based on the machine learning concept of association rule and is implementable using standard retail sales data. Finally, utilizing a unique data set provided by a leading online specialty retailer, we implement the DCP measure and test the predictions of our analytical model. We find, as expected, that there is a decreasing relationship between within‐basket complementarity and return probability. However, we also show that this decrease is convex, indicating that the return probability impact is more notable when the complementarity is increased from a lower base. Our results have practical implications for both reverse logistics planning and online product recommendations.","PeriodicalId":48256,"journal":{"name":"DECISION SCIENCES","volume":"264 1","pages":""},"PeriodicalIF":5.5,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140025004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancing OSCM scientific knowledge by replicating empirical findings: Step-by-step procedure and illustration for transformative replication endeavors","authors":"Mikaella Polyviou,&nbsp;Johnny Rungtusanatham,&nbsp;Rebecca W. Reczek,&nbsp;Kevin Dooley,&nbsp;A. Michael Knemeyer","doi":"10.1111/deci.12623","DOIUrl":"10.1111/deci.12623","url":null,"abstract":"<p>Replication endeavors contribute to the accumulation of scientific evidence about previously reported findings and are crucial for scientific progress. Replication studies are, however, often discouraged and rarely published in the operations and supply chain management (OSCM) discipline. In this article, we offer a framework for replications consisting of two complementary tables. This framework recognizes two types of replications already defined in the literature (i.e., The Exact (EXT) Replication and the Methods-Only (MTD) Replication) and adds to these two new types (i.e., the Bounded-Conceptual-Extension (BCE) Replication and the Transformative (TRF) Replication). The framework clarifies what constitutes replications, forms of replication endeavors, and their purposes. Importantly, we also differentiate replication endeavors from reproducibility tests, robustness checks, and post hoc analyses. Moreover, we describe a seven-step procedure to guide the design, execution, and presentation of replication endeavors, illustrating these steps by conducting a TRF Replication that incorporates, at the same time, a BCE Replication and an MTD Replication of Polyviou et al. (2018). The proposed framework and seven-step procedure hopefully motivate OSCM scholars to embrace replications as valuable scientific endeavors that can yield corroborating evidence to bolster confidence in previously reported findings and, better yet, provide new nuanced findings to advance precise scientific understanding of past and new OSCM phenomena.</p>","PeriodicalId":48256,"journal":{"name":"DECISION SCIENCES","volume":"55 2","pages":"111-136"},"PeriodicalIF":5.5,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139920895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How a dedicated postdischarge unit can reduce hospital congestion and costs","authors":"Maryam Khatami, Jon M. Stauffer, Mark A. Lawley","doi":"10.1111/deci.12624","DOIUrl":"https://doi.org/10.1111/deci.12624","url":null,"abstract":"Depending on the patient's condition, up to 60% of inpatients are discharged to post–acute care facilities (PACFs). These patients may experience several days of nonmedical inpatient stay until the hospital finds a facility that fits their needs, contributing to overcrowding in upstream units. This article studies the feasibility of creating a “postdischarge unit” (PDU) for medically ready-for-discharge patients who experience transfer delays, to improve access to inpatient beds. We use a multistage stochastic program, solved with a dual dynamic programming algorithm, to address the PDU size and capacity question. The random variable is the number of bed requests from upstream units (e.g., emergency department). Our numerical analysis, using data from a large hospital, shows that a PDU can reduce costs and significantly reduce the number of patients waiting for transfer to PACFs that are occupying inpatient beds, as long as the percentage of these patients in the hospital is more than 4%. Compared to current practice in our partner hospital, a PDU could increase access to inpatient beds by up to 13% and result in 2%–21% cost savings. Results show that PDU capacity in hospitals with a larger number of patients waiting for transfer is more sensitive to variation in PDU renovation and operational costs. In addition to using fewer medical staff, a PDU can improve discharge transitions to lower levels of care and more efficiently utilize social workers and physical therapists assisting these patients.","PeriodicalId":48256,"journal":{"name":"DECISION SCIENCES","volume":"19 1","pages":""},"PeriodicalIF":5.5,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139760155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Coordination schemes for resource reallocation and patient transfer in hospital alliance models","authors":"Zhong-Ping Li, Jasmine Chang, Jim Shi, Jian-Jun Wang","doi":"10.1111/deci.12622","DOIUrl":"https://doi.org/10.1111/deci.12622","url":null,"abstract":"In many countries, healthcare systems encounter the issue of imbalance between supply and demand in a hierarchical structure. The comprehensive hospitals, which possess more high-quality resources, are often overwhelmed, while their counterparts, community hospitals, are often idle. To address this imbalance issue, certain payment schemes are generally considered effective in motivating comprehensive hospitals to divert patients downstream via resource transfer. In addition to two particular payment schemes, namely, patient payment (PP) and fee-for-capacity (FFC), this study also considers two hospital alliance models, the government-led (GL-type) and the hospital-forged (HF-type) alliance, for effectively overcoming the imbalance issue. Compared to the HF-type alliance, in which each community hospital determines the price paid to the comprehensive hospital for transferring resources, the GL-type alliance requires the payment price to be set by the regulator. Methodologically, this study devises a <i>three-stage sequential game</i> to characterize the dynamics among the various entities, such as the regulator, the comprehensive hospital, the community hospitals, and the patients. Equilibrium results, in terms of the capacity sinking rate and patient transfer rate, are derived, and scheme and alliance performances are evaluated using various measurements, such as patient utility, and hospital and social welfare. We find that a direct payment scheme (FFC) under a centralized alliance model (GL-type alliance) is more effective for both making decisions (about the patient transfer rate, capacity sinking rate, and payment price) and the performances (of each hospital's welfare, patient welfare, the waiting time per patient, and social welfare). Furthermore, our study examines the impacts of the alliance scale and finds that social welfare is first decreasing and then increasing with alliance scale. Therefore, it is suggested to establish either a one-to-one hospital alliance (consisting of a comprehensive and a community hospital) or a large-scale (e.g., a comprehensive and 10 community hospitals) hospital alliance.","PeriodicalId":48256,"journal":{"name":"DECISION SCIENCES","volume":"24 1","pages":""},"PeriodicalIF":5.5,"publicationDate":"2024-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139677670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Zoning strategies for human–robot collaborative picking","authors":"Kaveh Azadeh, Debjit Roy, René de Koster, Seyyed Mahdi Ghorashi Khalilabadi","doi":"10.1111/deci.12620","DOIUrl":"https://doi.org/10.1111/deci.12620","url":null,"abstract":"During the last decade, several retailers have started to combine traditional store deliveries with the fulfillment of online sales to consumers from omni-channel warehouses, which are increasingly being automated. A popular option is to use autonomous mobile robots (AMRs) in collaboration with human pickers. In this approach, the pickers' unproductive walking time can be reduced even further by zoning the storage system, where the pickers stay within their zone periphery and robots transport order totes between the zones. However, the robotic systems' optimal zoning strategy is unclear: few zones are particularly good for large store orders, while many zones are particularly good for small online orders. We study the effect of no zoning (NZ) and progressive zoning strategies on throughput capacity for balanced zone configurations with both fixed and dynamic order profiles. We first develop queuing network models to estimate pick throughput capacity that correspond to a given number of AMRs and picking with a fixed number of zones. We demonstrate that the throughput capacity is dependent on the chosen zoning strategy. However, the magnitude of the gains achieved is influenced by the size of the orders being processed. We also show that using a dynamic switching strategy has little effect on throughput performance. In contrast, a fixed switching strategy benefiting from changes in the order profile has the potential to increase throughput performance by 17% compared to the NZ strategy, albeit at a higher robot cost.","PeriodicalId":48256,"journal":{"name":"DECISION SCIENCES","volume":"74 1","pages":""},"PeriodicalIF":5.5,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139029093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}