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作者：Mendelson, Haim; Parlaktuerk, Ali K.
作者单位：Stanford University; University of North Carolina; University of North Carolina Chapel Hill
摘要：We consider a duopoly market with heterogeneous customer tastes. The firms play a two-stage game. First, each firm chooses whether to invest in mass customization, which would enable it to offer customized products that increasingly match each customer's ideal product as the chosen customization level increases. A firm that chooses not to invest in mass customization serves a standard product. Second, the firms competitively price their product lines. We characterize each firm's investment in ...
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作者：Shen, Haipeng; Huang, Jianhua Z.
作者单位：University of North Carolina; University of North Carolina Chapel Hill; Texas A&M University System; Texas A&M University College Station
摘要：Accurate forecasting of call arrivals is critical for staffing and scheduling of a telephone call center. We develop methods for interday and dynamic intraday forecasting of incoming call volumes. Our approach is to treat the intraday call volume profiles as a high-dimensional vector time series. We propose first to reduce the dimensionality by singular value decomposition of the matrix of historical intraday profiles and then to apply time series and regression techniques. Our approach takes ...
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作者：Bhulai, Sandjai; Koole, Ger; Pot, Auke
作者单位：Vrije Universiteit Amsterdam
摘要：This paper introduces a new method for shift scheduling in multiskill call centers. The method consists of two steps. First, staffing levels are determined, and next, in the second step, the outcomes are used as input for the scheduling problem. The scheduling problem relies on a linear programming model that is easy to implement and has short computation times, i.e., a fraction of a second. Therefore, it is useful for different purposes and it can be part of an iterative procedure: for exampl...
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作者：Pot, Auke; Bhulai, Sandjai; Koole, Ger
作者单位：Vrije Universiteit Amsterdam
摘要：W e study a simple method for staffing in multiskill call centers. The method has short computation times and determines nearly optimal staffing levels. It is in both views competitive to other methods from the literature. Because of the fast and accurate performance of the method, many different scenarios can be analyzed, and our method can be used for both tactical and strategic capacity management decisions.
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作者：Randhawa, Ramandeep S.; Kumar, Sunil
作者单位：University of Texas System; University of Texas Austin; Stanford University
摘要：This paper studies a rental firm that offers reusable products to price- and quality-of-service-sensitive customers - Netflix or Blockbuster can be thought of as the canonical example. Customers' perception of quality is determined by their likelihood of obtaining the product or service immediately upon request. We study the alternatives of offering either a subscription option that limits the number of concurrent rentals in return for a flat fee per-unit time, or a pay-per-use option with no ...
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作者：van Ryzin, Garrett; Vulcano, Gustavo
作者单位：Columbia University; New York University
摘要：We consider a revenue management, network capacity control problem in a setting where heterogeneous customers choose among the various products offered by a firm ( e. g., different flight times, fare classes, and/or routings). Customers may therefore substitute if their preferred products are not offered. These individual customer choice decisions are modeled as a very general stochastic sequence of customers, each of whom has an ordered list of preferences. Minimal assumptions are made about ...
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作者：Secomandi, Nicola
作者单位：Carnegie Mellon University
摘要：While inventory- and revenue-management problems can be represented as Markov decision process (MDP) models, in some cases the well-known dynamic-programming curse of dimensionality makes it computationally prohibitive to solve them exactly. An alternative solution, called here the control-algorithm approach, is to use a math program ( MP) to approximately represent the MDP and use its optimal solution to heuristically instantiate the parameters of the decision rules of a given set of control ...
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作者：Baron, Opher; Berman, Oded; Krass, Dmitry
作者单位：University of Toronto
摘要：We analyze the problem of optimal location of a set of facilities in the presence of stochastic demand and congestion. Customers travel to the closest facility to obtain service; the problem is to determine the number, locations, and capacity of the facilities. Under rather general assumptions (spatially distributed continuous demand, general arrival and service processes, and nonlinear location and capacity costs) we show that the problem can be decomposed, and construct an efficient optimiza...
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作者：Kubiak, Wieslaw; Yavuz, Mesut
作者单位：Memorial University Newfoundland
摘要：T his paper presents two methods to solve the production smoothing problem in mixed-model just-in-time (JIT) systems with large setup and processing time variability between different models the systems produce. The problem is motivated by production planning at a leading U.S. automotive pressure hose manufacturer. One method finds all Pareto-optimal solutions that minimize total production rate variation of models and work in process (WIP), and maximize system utilization and responsiveness. ...
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作者：Miyaoka, Julia; Hausman, Warren H.
作者单位：California State University System; San Francisco State University; Stanford University
摘要：T his research studies the impact of improved forecasts on the members of a two-stage supply chain. The supplier builds capacity based on original forecast information, and the manufacturer places its order after observing improved ( but imperfect) demand information. We study three types of wholesale price purchasing arrangements: ( 1) when the wholesale price is determined to be exogenous to the supply chain; ( 2) when the supplier sets the wholesale price; and ( 3) when the manufacturer set...
