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作者：Lee, Hau L.
作者单位：Stanford University
摘要：Big data and the related methodologies could have great impacts on operations and supply chain management. Such impacts could be realized through innovations leveraging big data. The innovations can be described as first improving existing processes in operations through better tools and methods; second expanding the value propositions through expansive usage or incorporating data not available in the past; and third allowing companies to create new processes or business models to serve custom...
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作者：Raz, Gal; Souza, Gilvan C.
作者单位：Western University (University of Western Ontario); Indiana University System; IU Kelley School of Business; Indiana University Bloomington
摘要：We investigate how recycling can be a strategic source of supply in the presence of a changing supply market. This research is inspired by the metal cutting tools industry, where challenges regarding a key raw material present an opportunity for the manufacturers to create an alternative supply source by recycling. In this study, there is a virgin material market that supplies two manufacturers differentiated in their recycling ability. The problem is formulated as a game, where the manufactur...
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作者：Alan, Yasin; Lapre, Michael A.
作者单位：Vanderbilt University
摘要：We investigate the predictive power of operational performance on future financial distress in the context of the US airline industry. We focus on four areas of operational performance: revenue management, operational efficiency, service quality, and operational complexity. Using quarterly data from 1988 through 2013, we find that airlines that have inferior revenue management, lower aircraft utilization, and higher operational complexity face higher future financial distress. Interestingly, a...
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作者：Perera, Sandun; Janakiraman, Ganesh; Niu, Shun-Chen
作者单位：University of Michigan System; University of Michigan Flint; University of Texas System; University of Texas Dallas
摘要：We study a single-stage, continuous-time inventory model where unit-sized demands arrive according to a renewal process and show that an (s,S) policy is optimal under minimal assumptions on the ordering/procurement and holding/backorder cost functions. To our knowledge, the derivation of almost all existing (s,S)-optimality results for stochastic inventory models assume that the ordering cost is composed of a fixed setup cost and a proportional variable cost; in contrast, our formulation allow...
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作者：Boone, Tonya; Ganeshan, Ram; Hicks, Robert L.; Sanders, Nada R.
作者单位：William & Mary; William & Mary; Northeastern University
摘要：In this issue, Cui etal. () show how the quantity and quality of user-generated Facebook data can be used to enhance product forecasts. The intent of this note is to show how another type of user-generated contentcustomer search data, specifically one obtained from Google Trendscan be used to reduce out-of-sample forecast errors. Based on our work with an online retailer, we bolster Cui etal. () result by showing that adding customer search data to time series models improves out-of-sample for...
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作者：Feng, Qi; Shanthikumar, J. George
作者单位：Purdue University System; Purdue University
摘要：We are living in an era in which data is generated in huge volume with high velocity and variety. Big Data and technology are reshaping our life and business. Our research inevitably needs to catch up with these changes. In this short essay, we focus on two aspects of supply chain management, namely, demand management and manufacturing. We feel that, while rapidly growing research on these two areas is contributed by scholars in computer science and engineering, the developments made by produc...
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作者：Kouvelis, Panos; Pang, Zhan; Ding, Qing
作者单位：Washington University (WUSTL); City University of Hong Kong; Huazhong University of Science & Technology
摘要：We consider a firm purchasing a storable raw material commodity from a spot market with volatile commodity prices and the access to an associated financial derivatives market. The purchased commodity is processed into an end product with uncertain demand and lost sales. The firm aims to integrate the inventory replenishment and financial hedging decisions to maximize the mean-variance of terminal wealth over a finite horizon. Recognizing time-inconsistency of mean-variance criteria, we employ ...
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作者：Xiao, Wenqiang; Xu, Yi
作者单位：New York University; University System of Maryland; University of Maryland College Park
摘要：We consider an online retailer selling a seasonal product provided by an independent third-party seller who has superior information about the demand potential of the product. The online retailer receives customer orders and then sends the orders to the seller for fulfillment, using pre-installed capacity. The supplier privately installs capacity prior to the selling season. The online retailer faces the challenge to accomplish two goals: to incentivize the seller to install the right level of...
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作者：Lee, Hsiao-Hui; Li, Cuihong
作者单位：University of Hong Kong; University of Connecticut
摘要：Buyers can manage product quality sourced from suppliers in three ways: they can improve the quality incoming from suppliers directly by investing in suppliers to improve a process/product, they can improve the incoming quality indirectly by incentivizing supplier quality-improvement efforts, and/or they can control the quality outgoing to subsequent processes by inspecting incoming units. In this study, we study a buyer's use of these three instrumentsinvestment, incentives, and inspectionto ...
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作者：Shmueli, Galit; Yahav, Inbal
作者单位：National Tsing Hua University; Bar Ilan University
摘要：Studying causal effects is central to research in operations management in manufacturing and services, from evaluating prevention procedures, to effects of policies and new operational technologies and practices. The growing availability of micro-level data creates challenges for researchers and decision makers in terms of choosing the right level of data aggregation for inference and decisions. Simpson's paradox describes the case where the direction of a causal effect is reversed in the aggr...
