Browsing Industrial Engineering by Title
Now showing items 159-178 of 217
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Polarity classification of twitter messages using audio processing
(Elsevier, 2020-11)Polarity classification is one of the most fundamental problems in sentiment analysis. In this paper, we propose a novel method, Sound Cosine Similaritye Matching, for polarity classification of Twitter messages which ... -
Post-disaster damage assessment using drones in a remote communication setting
(Springer, 2023)After a disaster event, obtaining fast and accurate information about the damaged built-in structure is crucial for planning life-saving response operations. Unmanned aerial vehicles (UAVs), known otherwise as drones, are ... -
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 ... -
A predictive multistage postdisaster damage assessment framework for drone routing
(Wiley, 2024-01)This study focuses on postdisaster damage assessment operations supported by a set of drones. We propose a multistage framework, consisting of two phases applied iteratively to rapidly gather damage information within an ... -
Preface: 13th cologne-twente workshop on graphs and combinatorial optimization (CTW 2015)
(Elsevier, 2019-01-10)N/A -
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 ... -
Prioritization and parallel execution of test cases for certification testing of embedded systems
(Springer, 2022-07-22)Testing for certification of embedded systems is common in consumer electronics domain. Application vendors provide test suites that have to be repeatedly executed for each product. Multiple test stations can be used in ... -
Production planning with flexible manufacturing systems under demand uncertainty
(Taylor & Francis, 2024)This paper delves into the impacts of an ongoing global crisis on the resilience of supply chains. Furthermore, it proposes measures to address and mitigate the disruptions caused by the prevailing uncertainties. For ... -
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 ... -
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 ... -
A profit-driven Artificial Neural Network (ANN) with applications to fraud detection and direct marketing
(Elsevier, 2016-01-26)The rapid growth in data capture and computational power has led to an increasing focus on data-driven research. So far, most of the research is focused on predictive modeling using statistical optimization, while profit ... -
Reassessment and monitoring of loan applications with machine learning
(Taylor & Francis, 2018-11-26)Credit scoring and monitoring are the two important dimensions of the decision-making process for the loan institutions. In the first part of this study, we investigate the role of machine learning for applicant reassessment ... -
Relaxations and exact solution of the variable sized bin packing problem
(Springer Science+Business Media, 2011-03)We address a generalization of the classical one-dimensional bin packing problem with unequal bin sizes and costs. We investigate lower bounds for this problem as well as exact algorithms. The main contribution of this ... -
Relief aid provision to en route refugees: Multi-period mobile facility location with mobile demand
(Elsevier, 2022-09-01)Many humanitarian organizations aid en route refugee groups who are on their journey to cross borders using mobile facilities and need to decide the number and routes of the facilities. We define a multi-period facility ... -
Robust aircraft routing and flight retiming
(Elsevier, 2010-08-01)In this paper, we propose an integrated model for the robust aircraft routing and flight retiming problem. The model optimizes a slack-based robustness measure that explicitly takes heed of passengers in connection and ... -
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 ... -
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 ... -
A robust optimization approach for humanitarian needs assessment planning under travel time uncertainty
(Elsevier, 2020-04-01)We focus on rapid needs assessment operations conducted immediately after a disaster to identify the urgent needs of the affected community groups, and address the problem of selecting the sites to be visited by the ... -
A robust optimization approach for production planning under exogenous planned lead times
(IEEE, 2019)Many production planning models applied in semiconductor manufacturing represent lead times as fixed exogenous parameters. However, in reality, lead times must be treated as realizations of released lots' cycle times, which ... -
Robust parameter design and optimization for quality engineering
(Springer, 2022-03)This paper proposes a methodology to determine the optimal settings of key decision variables that affect the resilience of an engineering design against uncertainty. Uncertainty in quality engineering is often caused by ...
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