Browsing Industrial Engineering by Issue Date
Now showing items 61-80 of 216
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League scheduling and game bundling in sports industry
(Elsevier, 2014-08)Most sport clubs offer season tickets first and they allow purchasing single tickets at a later date. There are several decision problems within this context; the determination of the optimal time at which the switch from ... -
Selection of event tickets for bundling in sports and entertainment industry
(Elsevier, 2014-08)Most sports and entertainment firms offer season tickets first, and they allow purchasing single tickets at a later date. Basic decision problems within this context are the determination of optimal time at which switch ... -
Solving a large-scale crew pairing problem
(Palgrave Macmillan, 2015)Airline companies seek to solve the problem of determining an assignment of crews to a pre-determined flight schedule with minimum total cost, called the Crew Pairing Problem (CPP). Most of the existing studies focus on ... -
A branch-and-price-and-cut method for computing an optimal bramble
(Elsevier, 2015)Given an undirected graph, a bramble is a set of connected subgraphs (called bramble elements) such that every pair of subgraphs either contains a common node, or such that an edge ( i , j ) exists with node i belonging ... -
Benchmarking regression algorithms for income prediction modeling
(IEEE, 2015)This paper aims to predict incomes of customers for banks. In this large-scale income prediction benchmarking paper, we study the performance of various state-of-the-art regression algorithms (e.g. ordinary least squares ... -
Profit-based artificial neural network (ANN) trained by migrating birds optimization: a case study in credit card fraud detection
(World Academy of Science, Engineering and Technology, 2015)A typical classification technique ranks the instances in a data set according to the likelihood of belonging to one (positive) class. A credit card (CC) fraud detection model ranks the transactions in terms of probability ... -
Intelligent classification-based methods in customer profitability modeling
(Springer International Publishing, 2015)The expected profits from customers are important informations for the companies in giving acquisition/retention decisions and developing different strategies for different customer segments. Most of these decisions can ... -
Optimization of ATM cash replenishment with group-demand forecasts
(Elsevier, 2015-05-01)In ATM cash replenishment banks want to use less resources (e.g., cash kept in ATMs, trucks for loading cash) for meeting fluctuated customer demands. Traditionally, forecasting procedures such as exponentially weighted ... -
A practical guide to robust optimization
(Elsevier, 2015-06)Robust optimization is a young and active research field that has been mainly developed in the last 15 years. Robust optimization is very useful for practice, since it is tailored to the information at hand, and it leads ... -
Coordinating collection and appointment scheduling operations at the blood donation sites
(Elsevier, 2015-09)According to the regulations imposed by the U.S. Food and Drug Administration and the American Association of Blood Banks, in order to extract platelets, donated blood units have to be processed at a processing center ... -
A robust estimation model for surgery durations with temporal, operational, and surgery team effects
(Springer Science+Business Media, 2015-09)For effective operating room (OR) planning, surgery duration estimation is critical. Overestimation leads to underutilization of expensive hospital resources (e.g., OR time) whereas underestimation leads to overtime and ... -
Combining and solving sequence dependent traveling salesman and quadratic assignment problems in PCB assembly
(Elsevier, 2015-09-10)In this study we undertake the optimization of chip shooter component placement machines which became popular in assembling printed circuit boards (PCB) in recent years. A PCB is usually a rectangular plastic board on which ... -
Cyclic delivery schedules for an inventory routing problem
(Informs, 2015-11)We consider an inventory routing problem where a common vendor is responsible for replenishing the inventories of several customers over a perpetual time horizon. The objective of the vendor is to minimize the total cost ... -
Healthcare data analytics
(Springer International Publishing, 2015-11)New advances in Information and Communication Technologies (ICT), Operations Research (OR), Artificial Intelligence (AI), and Data Mining (DM) are transforming how healthcare is delivered and managed around the world. ... -
Pricing decisions in a strategic single retailer/dual suppliers setting under order size constraints
(Informa Group, 2016)In this paper, we study a duopolistic market of suppliers competing for the business of a retailer. The retailer sets the order cycle and quantities from each supplier to minimize its annual costs. Different from other ... -
A chance constraint based multi-item production planning model using simulation optimization
(IEEE, 2016)We consider a single stage multi-item production-inventory system under stochastic demand. We had previously proposed a production planning model integrating ideas from forecast evolution and inventory theory to plan work ... -
Selective routing for post-disaster needs assessments
(Springer International Publishing, 2016)In the immediate aftermath of a disaster, relief agencies perform needs assessment operations to investigate the effects of the disaster and understand the needs of the affected communities. Since assessments must be ... -
Production planning with price-dependent supply capacity
(Taylor and Francis, 2016)We consider a production planning problem in which a producer procures an input component for production by offering a price to suppliers. The available supply quantity for the production input depends on the price the ... -
Robust dual response optimization
(Taylor & Francis, 2016)This article presents a robust optimization reformulation of the dual response problem developed in response surface methodology. The dual response approach fits separate models for the mean and the variance, and analyzes ... -
Benchmarking regression algorithms for income prediction modeling
(Elsevier, 2016)This paper aims to predict incomes of customers for banks. In this large-scale income prediction benchmarking paper, we study the performance of various state-of-the-art regression algorithms (e.g. ordinary least squares ...
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