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作者：Gray, John V.; Tomlin, Brian; Roth, Aleda V.
作者单位：University System of Ohio; Ohio State University; University of North Carolina; University of North Carolina Chapel Hill; Clemson University
摘要：The contract manufacturing industry has grown rapidly in recent years as firms have increasingly outsourced production to reduce costs. This growth has created powerful contract manufacturers (CMs) in several industries. Achieving a competitive cost position is often a primary motive for outsourcing. Outsourcing influences both the original equipment manufacturer's (OEM) and the CM's production levels, and, therefore, through learning-by-doing renders future costs dependent on past outsourcing...
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作者：Chung, Wenming; Swink, Morgan
作者单位：University of Texas System; University of Texas El Paso; Michigan State University; Michigan State University's Broad College of Business
摘要：The objectives of this research are first to empirically replicate Advanced Manufacturing Technology (AMT) utilization taxonomies identified in foregoing research, second to investigate the relationship between patterns of AMT utilization and manufacturing capabilities attainment, and third to explore differences in context, and performance across AMT groups. Theories of performance frontiers and capability progression provide the basis for our hypotheses. Data were collected from 224 U.S. man...
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作者：Qi, Lian; Shen, Zuo-Jun Max; Snyder, Lawrence V.
作者单位：Rutgers University System; Rutgers University Newark; Rutgers University New Brunswick; University of California System; University of California Berkeley; Lehigh University
摘要：We consider a continuous-review inventory problem for a retailer who faces random disruptions both internally and externally (from its supplier). We formulate the expected inventory cost at this retailer and analyze the properties of the cost function. In particular, we show that the cost function is quasi-convex and therefore can be efficiently optimized to numerically find the optimal order size from the retailer to the supplier. Computational experiments provide additional insight into the ...
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作者：Holt, Charles C.
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作者：Kulkarni, Vidyadhar G.; Kumar, Subodha; Mookerjee, Vijay S.; Sethi, Suresh P.
作者单位：University of North Carolina; University of North Carolina Chapel Hill; University of Washington; University of Washington Seattle; University of Texas System; University of Texas Dallas
摘要：We develop variations of the M|G|1 queue to model the process of software maintenance within organizations and use these models to compute the optimal allocation of resources to software maintenance. User requests are assumed to arrive following a Poisson process and a binomial distribution is used to model duplication of requests. We obtain expressions for expected queue lengths with an exponential server using an N-policy for an integer N >= 1. We also obtain the optimal batching size and me...
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作者：Bensoussan, Alain; Cakanyildirim, Metin; Feng, Qi; Sethi, Suresh P.
作者单位：University of Texas System; University of Texas Dallas; University of Texas System; University of Texas Austin
摘要：Information delays exist in an inventory system when it takes time to collect, process, validate, and transmit inventory/demand data. A general framework is developed in this paper to describe information flows in an inventory system with information delays. We characterize the sufficient statistics for making optimal decisions. When the ordering cost is linear, the optimality of a state-dependent base-stock policy is established even when information flows are allowed to cross over time. Addi...
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作者：Bala, Ram; Carr, Scott
作者单位：Indian School of Business (ISB)
摘要：The computer software industry is an extreme example of rapid new product introduction. However, many consumers are sophisticated enough to anticipate the availability of upgrades in the future. This creates the possibility that consumers might either postpone purchase or buy early on and never upgrade. In response, many software producers offer special upgrade pricing to old customers in order to mitigate the effects of strategic consumer behavior. We analyze the optimality of upgrade pricing...
