Operations Research Perspectives
Papers
151
Papers 182
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#1Oscar Barros (University of Chile)H-Index: 8
#2Richard Weber (University of Chile)H-Index: 30
Last. Carlos Reveco (University of Chile)H-Index: 1
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Abstract null null Demand forecasting and capacity management are complicated tasks for emergency healthcare services due to the uncertainty, complex relationships, and high public exposure involved. Published research does not show integrated solutions to these tasks. Thus, the objective of this paper is to present results from three hospitals that show the feasibility of routinely applying integrated forecasting and capacity management with advanced operations research tools. null After testin...
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#1Anja KramerH-Index: 1
#2Vanessa KrebsH-Index: 3
Last. Martin SchmidtH-Index: 20
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This paper mainly studies two topics: linear complementarity problems (LCPs) for modeling electricity market equilibria and optimization under uncertainty. While there have been quite some attempts to deal with uncertain LCPs in a stochastic - i.e., distributional - sense, robust LCPs have only gained attention very recently. In this paper, we consider both perfectly competitive and Nash-Cournot models of electricity markets and study their robustifications using strict robustness and the Γ-appr...
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#1Robert Bennetto (Stellenbosch University)
#2Jan H. van Vuuren (Stellenbosch University)H-Index: 9
Abstract It has been shown that evolutionary algorithms are able to construct suitable search strategies for classes of Constraint Satisfaction Problems (CSPs) in Constraint Programming. This paper is an explanation of the use of multi-objective optimisation in contrast to simple additive weighting techniques with a view to develop search strategies to classes of CSPs. A hierarchical scheme is employed to select a candidate strategy from the Pareto frontier for final evaluation. The results demo...
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#1Peter Schuur (UT: University of Twente)H-Index: 23
#2Bertan Badur (Boğaziçi University)H-Index: 4
Last. Asli Sencer (Boğaziçi University)H-Index: 1
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Abstract null null In competitive marketing, the speed of generating the best price has become as critical as its reliability. In this study, we aim to design a practical marketing management tool. We consider a non-cooperative marketing environment with multiple substitute products, where total market size is moderately price-sensitive. The price-demand relations are determined by a market share attraction model, where the attraction of each product is a linear function of its price. The produc...
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Abstract In studying petroleum supply chain networks, past studies have largely segregated three critical decision-making aspects: integrated planning, uncertainties, and multi-objective setting. This study focuses on consolidating these aspects and proposes a stochastic, multi-objective, mixed-integer linear programming model for strategic and tactical planning of downstream petroleum supply chain (DPSC) networks. Demand, considered the uncertain parameter, is modeled using a two-stage stochast...
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Abstract null null This research aimed to replace the pairwise comparison function used in Leoneti [2016] with a new function inspired on the exponential model of prospect theory and to perform a comparative analysis to verify the hypothesis that a better performance of the utility function would be possible from the use of a component of judgment better theoretically grounded. A field study consisting of solving three cases in a group was proposed to evaluate the number of matches of the method...
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#1Reza Khorramshahgol (College of Business Administration)H-Index: 3
#2Raed Al-Husain (College of Business Administration)H-Index: 3
ABSTRACT This research mainly aims to provide a practical method to (1) rank a firm's customers, (2) determine the implied uncertainty for customers’ demand, and (3) allocate supply chain (SC) resources for meeting customer demands in an equitable manner in order to provide them with an appropriate/desired level of responsiveness. The suggested methodology utilizes the analytic hierarchy process (AHP) and the Delphi method to (1) assess customers based on their relative importance and (2) determ...
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#1Hedieh Ashrafi (SMU: Southern Methodist University)H-Index: 1
#2Aurélie Thiele (SMU: Southern Methodist University)H-Index: 10
Abstract We consider the problem of maximizing the worst-case return of a portfolio when the manager can invest in stocks as well as European options on those stocks, and the stock returns are modeled using an uncertainty set approach. Specifically, the manager knows a range forecast for each factor driving the returns and a budget of uncertainty limiting the scaled deviations of these factors from their nominal values. Our goal is to understand the impact of options on the optimal portfolio all...
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