Browsing Industrial Engineering by Title
Now showing items 144-163 of 217
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Near-optimal modified base stock policies for the capacitated inventory problem with stochastic demand and fixed cost
(World Scientific Publishing, 2014-06)In this study, we investigate a single-item, periodic-review inventory problem where the production capacity is limited and unmet demand is backordered. We assume that customer demand in each period is a stationary, discrete ... -
Neural network estimators for optimal tour lengths of traveling salesperson problem instances with arbitrary node distributions
(Informs, 2024)It is essential to solve complex routing problems to achieve operational efficiency in logistics. However, because of their complexity, these problems are often tackled sequentially using cluster-first, route-second ... -
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, ... -
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 ... -
Next-day operating room scheduling with uncertain surgery durations: Exact analysis and heuristics
(Elsevier, 2020-10-01)Operating rooms are units of particular interest in hospitals as they constitute more than 40% of total expenses and revenues. Managing operating rooms is challenging due to conflicting priorities and preferences of various ... -
A non-clustered approach to platelet collection routing problem
(Elsevier, 2023-12)One of the blood components that can be extracted from whole blood is the platelet, which has a wide range of uses in medical fields. Due to the perishable nature of platelets, it is recommended that the separation occurs ... -
A novel and successful credit card fraud detection system Implemented in a Turkish Bank
(IEEE, 2013)We developed a credit card fraud detection solution for a major bank in Turkey. The study was completed in about three years and the developed system has been in use since February 2013. It had a great impact in the rule ... -
A novel collection optimisation solution maximising long-term profits: a case study in an international bank
(Taylor & Francis, 2017-10-02)When customers fail to pay the amount they owe to their bank related with a credit product (credit cards, overdraft accounts or instalment loans), the bank starts the collection process. This process typically lasts for a ... -
On discounted stochastic games with incomplete information on payoffs and a security application
(Elsevier, 2014-01)This paper presents a robust optimization model for n-person finite state/action stochastic games with incomplete information on payoffs. For polytopic uncertainty sets, we propose an explicit mathematical programming ... -
The one-warehouse multiretailer problem with an order-up-to level inventory policy
(Wiley, 2010-10)We consider a two-level system in which a warehouse manages the inventories of multiple retailers. Each retailer employs an order-up-to level inventory policy over T periods and faces an external demand which is dynamic ... -
Operations research approaches for improving coordination, cooperation, and collaboration in humanitarian relief chains: A framework and literature review
(Elsevier, 2023)Given the considerable number of actors in the humanitarian space, coordination is essential for successful disaster response. Furthermore, the sheer size of challenges and limited resources increasingly highlight the need ... -
Optimal ATM replenishment policies under demand uncertainty
(Springer Nature, 2021-06)The use of Automated Teller Machines (ATMs) has become increasingly popular throughout the world due to the widespread adoption of electronic financial transactions and better access to financial services in many countries. ... -
Optimal pricing and inventory strategies for fashion products under time-dependent interest rate and demand
(Elsevier, 2021-04)In this work we consider the dynamic pricing problem of a retailer operating in a market with a single fashion item and under time-dependent interest rate. The demand is assumed to be deterministic and dependent on the ... -
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 ... -
Optimizing steering of roaming traffic with a-number billing under a rolling horizon policy
(Springer, 2020)In this study, we focus on single service steering international roaming traffic (SIRT) problem by considering telecommunication operators’ agreements and “a-number billing” while keeping service quality above a certain ... -
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
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