Industrial Engineering: Recent submissions
Now showing items 21-40 of 216
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Humanitarian relief distribution problem: an adjustable robust optimization approach
(Informs, 2023-07)Management of humanitarian logistics operations is one of the most critical planning problems to be addressed immediately after a disaster. The response phase covers the first 12 hours after the disaster and is prone to ... -
Classification of hundreds of classes: A case study in a bank internal control department
(IOS Press, 2023)The main function of the internal control department of a bank is to inspect the banking operations to see if they are performed in accordance with the regulations and bank policies. To accomplish this, they pick up a ... -
Social media analytical CRM: a case study in a bank
(IOS Press, 2023)The use of the social media (SM) has become more and more widespread during the last two decades, the companies started looking for insights for how they can improve their businesses using the information accumulating ... -
Next-day operating room scheduling with time-dependent stochastic surgery durations
(Springer, 2022)Operating rooms (ORs) are the most costly part of hospitals, thus a priority for hospital administrations. In this paper, we consider the next-day OR scheduling problem for multiple operating rooms. We assume that surgeries ... -
The effect of few historical data on the performance of sample average approximation method for operating room scheduling
(Wiley, 2023-01)We model the scheduling problem of a single operating room for outpatient surgery, with uncertain case durations and an objective function comprising waiting time, idle time, and overtime costs. This stochastic scheduling ... -
Capacity planning for effective cohorting of hemodialysis patients during the coronavirus pandemic: A case study
(Elsevier, 2023-01-01)Planning treatments of different types of patients have become challenging in hemodialysis clinics during the COVID-19 pandemic due to increased demands and uncertainties. In this study, we address capacity planning decisions ... -
Multi-instance learning by maximizing the area under receiver operating characteristic curve
(Springer, 2023-02)The purpose of this study is to solve the multi-instance classification problem by maximizing the area under the Receiver Operating Characteristic (ROC) curve obtained for witness instances. We derive a mixed integer linear ... -
A two-phase heuristic algorithm for the label printing problem
(Springer, 2023-04)In this paper, we study the label printing problem (LPP) which has applications in the printing industry. In LPP, the demand for a set of labels is satisfied by printing the labels using templates with multiple slots. Given ... -
Single item periodic review inventory control with sales dependent stochastic return flows
(Elsevier, 2023-01)Retailers have to deal with increasing levels of product returns as the shares of e-commerce sales soars. With this increase, it is no longer feasible to dispatch returned products to outlets or landfills, hence retailers ... -
A new application of the traveling salesman problem: The Turkish cashier problem
(Ministry Communications & High Technologies Republic Azerbaijan, 2022)We define the problem of finding a route for the cashier that minimizes the cost of transportation as the Turkish Cashier Problem (TCP). It is a special case of the well-known traveling salesman problem. To solve the TCP, ... -
Economic lot sizing problem with tank scheduling
(Elsevier, 2023-07-01)We introduce a multiple-item economic lot sizing problem where items are produced through the fermentation of some raw materials. Fermentation takes place in specialized tanks that have finite capacities, and duration of ... -
A large neighborhood search algorithm and lower bounds for the variable-sized bin packing problem with conflicts
(Elsevier, 2023-08-01)In this paper, we study the Variable-Sized Bin Packing Problem with Conflicts (VSBPPC). In VSBPPC, a set of items each with a certain size has to be packed into bins of various types. Bin types differ in terms of their ... -
Summary of an effective formulation of the multi-criteria test suite minimization problem
(IEEE, 2022)This is an extended abstract of the article: Okan Orsan Ozener and Hasan Sozer, 'An Effective Formulation of the Multi-Criteria Test Suite Minimization Problem', published in the Journal of Systems and Software, Vol. 168, ... -
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 ... -
A mathematical model for equitable in-country COVID-19 vaccine allocation
(Taylor and Francis, 2022)Given the scarcity of COVID-19 vaccines, equitable (fair) allocation of limited vaccines across the main administrative units of a country (e.g. municipalities) has been an important concern for public health authorities ... -
Deep reinforcement learning approach for trading automation in the stock market
(IEEE, 2022)Deep Reinforcement Learning (DRL) algorithms can scale to previously intractable problems. The automation of profit generation in the stock market is possible using DRL, by combining the financial assets price 'prediction' ... -
Genetic algorithms and heuristics hybridized for software architecture recovery
(Springer, 2023-06-26)Large scale software systems must be decomposed into modular units to reduce maintenance efforts. Software Architecture Recovery (SAR) approaches have been introduced to analyze dependencies among software modules and ... -
Stochastic production planning with flexible manufacturing systems and uncertain demand: A column generation-based approach
(Elsevier, 2022)The ongoing pandemic, namely COVID-19, has rendered widespread economic disorder. The deficiencies have delayed production at manufacturers in several industries on the supply side. The effects of disruption were more ... -
Capacitated stochastic lot-sizing and production planning problem under demand uncertainty
(Elsevier, 2022)This paper proposes two multi-period, multi-item capacitated stochastic lot-sizing problems under demand uncertainty. We model uncertainty via a scenario tree. The first model considers production, inventory, backlogging, ... -
A capacitated mobile facility location problem with mobile demand: Recurrent service provision to en route refugees
(OpenProceedings.org, 2022)In this paper, we help humanitarian organizations provide service via mobile facilities (MFs) to migrating refugees, who attempt to cross international borders. Over a planning horizon, we aim to optimize number and routes ...
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