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arXiv 2025年

作者： Shukla, Ashutosh Kutanoglu, Erhan Hasenbein, John Graduate Program in Operations Research and Industrial Engineering The University of Texas at Austin AustinTX United States

We present and analyze a three-stage stochastic optimization model that integrates output from a geoscience-based flood model with a power flow model for transmission grid resilience planning against flooding. The proposed model coordinates the decisions made across multiple stages of resilience planning and recommends an optimal allocation of the overall resilience investment budget across short- and long-term measures. While doing so, the model balances the cost of investment in both short- and long-term measures against the cost of load shed that results from unmitigated flooding forcing grid components go out-of-service. We also present a case study for the Texas Gulf Coast region to demonstrate how the proposed model can provide insights into various grid resilience questions. Specifically, we demonstrate that for a comprehensive yet reasonable range of economic values assigned to load loss, we should make significant investments in the permanent hardening of substations such that we achieve near-zero load shed. We also show that not accounting for short-term measures while making decisions about long-term measures can lead to significant overspending. Furthermore, we demonstrate that a technological development enabling to protect substations on short notice before imminent hurricanes could vastly influence and reduce the total investment budget that would otherwise be allocated for more expensive substation hardening. Lastly, we also show that for a wide range of values associated with the cost of mitigative long-term measures, the proportion allocated to such measures dominates the overall resilience spending. Copyright © 2025, The Authors. All rights reserved.

关键词： Stochastic systems

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Joint optimization of logistics operations and reliability-based replacement policies in a geographically distributed service parts logistic system

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CIRP Annals 2025年

作者： Wang, Po-Han Djurdjanovic, Dragan Graduate Program on Operations Research and Industrial Engineering The University of Texas at Austin AustinTX United States Walker Department of Mechanical Engineering The University of Texas at Austin AustinTX United States

A joint location-inventory-maintenance model is proposed for a geographically distributed Service Parts Logistics problem. The model uses a reliability-based replacement strategy and is formulated as a quadratic Mixed Integer Linear program which jointly optimizes logistic and preventive part replacement decisions. The proposed solution method employs piecewise linearization to provide a level of tractability and scalability to the method. The newly proposed joint location-inventory-maintenance model is evaluated and benchmarked against traditional local optimum-based replacement approaches. It consistently outperformed the benchmark models, with the efficiency of cost effect improvements determined by the relative prevalence of logistics factors versus asset management costs. © 2025

关键词： Piecewise linear techniques

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Deep Learning-Based Residual Useful Lifetime Prediction for Assets With Uncertain Failure Modes

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Journal of Computing and Information Science in engineering 2025年第4期25卷 041002页

作者： Su, Yuqi Fang, Xiaolei Operations Research Graduate Program North Carolina State University 915 Partners Way Raleigh NC 27607 Edward P. Fitts Department of Industrial and Systems Engineering North Carolina State University 915 Partners Way Raleigh NC 27607

Industrial prognostics focuses on utilizing degradation signals to forecast and continually update the residual useful life of complex engineering systems. However, existing prognostic models for systems with multiple failure modes face several challenges in real-world applications, including overlapping degradation signals from multiple components, the presence of unlabeled historical data, and the similarity of signals across different failure modes. To tackle these issues, this research introduces two prognostic models that integrate the mixture (log)-location-scale distribution with deep learning. This integration facilitates the modeling of overlapping degradation signals, eliminates the need for explicit failure mode identification, and utilizes deep learning to capture complex nonlinear relationships between degradation signals and residual useful lifetimes. Numerical studies validate the superior performance of these proposed models compared to existing methods.

关键词： Failure mechanisms mixture (log)-location-scale distribution Failure Weibull distribution multiple failure modes Signals Service life (Equipment) prognostics data analytics Deep learning machine learning for engineering applications engineering systems and industry applications industrial Internet of things big data and analytics

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Benchmarking simulation software for use in modeling postal operations

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COMPUTERS & INDUSTRIAL engineering 1997年第3期32卷 607-625页

作者： Bard, JF Graduate Program in Operations Research & Industrial Engineering Department of Mechanical Engineering University of Texas Austin TX 78712-1063USA

This paper reports on the second component of a three phase study undertaken for the Canada Post Corporation (CPC) to evaluate and select a commercial simulation package to be used for operational and long-term planning. The formal evaluation process consisted of a hierarchical screening procedure to identify qualified candidates and the development of a comprehensive benchmark model to test each candidate. Of the 172 simulation packages listed in the Directory of Simulation, only three satisfied each of the CPC's highest priority requirements. Data, mail flows, and processing logic associated with operations at the Hamilton, Ontario plant were used to establish the benchmarks and validate the models. This project represents the first time full-scale models have been constructed in parallel to evaluate graphics-based simulation software. Although several economies of scale were realized, the differences in the three packages meant significant duplication. Nevertheless, the CPC felt that the parallel approach would return benefits in the long run and that it was necessary to arrive at a considered decision. A major aim of this paper is to highlight the methodology used in the analysis and to present the lessons learned from the project. (C) 1997 Elsevier Science Ltd.

关键词： Postal services

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Block scheduling in a multi-hospital setting

Operations Research, Data Analytics and Logistics

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operations research, Data Analytics and Logistics 2025年

作者： Vishrut Rana Candace Arai Yano Alexandra M. Newman Wharton School University of Pennsylvania Philadelphia PA 19104-6340 United States Department of Industrial Engineering and Operations Research and Haas School of Business University of California Berkeley CA 94720 United States Operations Research with Engineering Graduate Program Colorado School of Mines Golden CO 80401 USA

We seek to optimize a multi-week repeating block schedule for operating rooms at multiple hospitals under the same corporate umbrella. Allowing patients to undergo surgical procedures at a broader set of hospitals improves access in general, and to advanced surgical (robotic) technology that may not exist at the nearest hospital to the patient, in particular. In our problem, a block consists of combinations of surgery types that can be performed by one surgeon in the same operating room on one day, and is associated with prospective patients from a specific locale. Blocks must be assigned to a suitable operating room at an allowable hospital. Patients within each block have a designated hospital ward for recovery, and their length-of-stay distributions depend upon their surgery type. Our model includes nursing costs, penalties for surgical-patient census exceeding the target capacity in each hospital ward and assignment of blocks to non-home hospitals; bonuses accrue for scheduling blocks in high-tech operating rooms. We include constraints on patient-to-nurse ratios and surgeon availability, among others. We present a numerical example based on real and realistic data to illustrate the effects of strategic decisions and characteristics of important tradeoffs. In particular, we explore the tradeoff between greater use of high-tech operating rooms, which reduces patient recovery time, complications and readmissions, and higher nursing-related costs. To the best of our knowledge, our model is the first multi-week, multi-hospital block scheduling problem to be presented. The model is quite general and can be adapted to consider an array of other factors.

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Near-earth asteroids and the value of search

Near-earth asteroids and the value of search

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IIE Annual Conference and Expo 2015

作者： Zhang, Pu Bickel, J. Eric Graduate Program in Operations Research and Industrial Engineering University of Texas Austin United States

ISBN: (纸本)9780983762447

In this paper, we develop a multi-stage decision model to quantify the economic value of near-Earth asteroid (NEA) detection systems. Specifically, we develop a two-stage decision-analytic model focusing on whether or not to invest in a detection system and if a NEA is detected whether and how to respond. Our model incorporates uncertainties related to detection rate, asteroid size, and damage potential. Further we model downstream decisions and associated uncertainties related to mitigation measures including evacuation and deflection or destruction of the NEA. This modeling framework allows us to quantify the value of the detection system (i.e., the value of information). We specify this value at the global level and also on a country-by-country basis. This analysis provides insights and recommendations to policy makers as they consider how much to spend on NEA detection and mitigation measures.

关键词： Asteroids

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Practical Bilevel Optimization 1

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丛书名： Nonconvex Optimization and Its Applications

1000年

作者： Jonathan F. Bard

ISBN: (数字)9781475728361

ISBN: (纸本)9780792354581;9781441948076

The use of optimization techniques has become integral to the design and analysis of most industrial and socio-economic systems. Great strides have been made recently in the solution of large-scale problems arising in such areas as production planning, airline scheduling, government regulation, and engineering design, to name a few. Analysts have found, however, that standard mathematical programming models are often inadequate in these situations because more than a single objective function and a single decision maker are involved. Multiple objective programming deals with the extension of optimization techniques to account for several objective functions, while game theory deals with the inter-personal dynamics surrounding conflict. Bilevel programming, the focus of this book, is in a narrow sense the combination of the two. It addresses the problern in which two decision makers, each with their individual objectives, act and react in a noncooperative, sequential manner. The actions of one affect the choices and payoffs available to the other but neither player can completely dominate the other in the traditional sense.

关键词： operations research, Management Science operations research/Decision Theory Theory of Computation Mathematical Modeling and Industrial Mathematics

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Benefits of inventory pooling for service parts logistics systems

Benefits of inventory pooling for service parts logistics sy...

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IIE Annual Conference and Expo 2007 - Industrial engineering's Critical Role in a Flat World

作者： Iyoob, Ilyas Mohamed Kutanoglu, Erhan Graduate Program in Operations Research and Industrial Engineering University of Texas at Austin Austin TX 78705 United States

In this paper, we assess the benefits of risk pooling in the service parts logistics systems. We formulate a special case of the Network Design Inventory Problem (NDIP) and define conditions for which complete centralization and complete decentralization are optimal. Computational results show that the range of cost parameter values within which partial decentralization is optimal is very small. As a result, in most cases the optimal solution is either close to complete decentralization or close to complete centralization. Finally, we develop an algorithm that evaluates a small set of solutions that form an efficient frontier over the rest of the feasible solutions.

关键词： Risk assessment

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Fab-wide preventive maintenance task planning and scheduling in semiconductor manufacturing

Fab-wide preventive maintenance task planning and scheduling...

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IIE Annual Conference and Expo 2007 - Industrial engineering's Critical Role in a Flat World

作者： Kutanoglu, Erhan Nehme, Michael Graduate Program in Operations Research and Industrial Engineering Department of Mechanical Engineering University of Texas at Austin Austin TX United States

We propose a two-stage hierarchical model for scheduling preventive maintenance tasks in semiconductor fabrication. Given a set of tasks and time windows in which those tasks must be performed, a higher level model will place each task inside a 12-hour shift, while a lower level model schedules each task within the shift given by the higher level model. We describe the higher level model, suggest a heuristic to obtain upper and lower bounds on the optimal solution, and present computational results that examine the relationship between the tightness of the bounds and the problem parameters.

关键词： Hierarchical systems

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Small lot semiconductor manufacturing: Modeling the effect of lot size on congestion and cycle times

Small lot semiconductor manufacturing: Modeling the effect o...

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IIE Annual Conference and Expo 2008

作者： Zarifoglu, Emrah Kutanoglu, Erhan Hasenbein, John Graduate Program in Operations Research and Industrial Engineering University of Texas at Austin Austin TX 78705 United States

In semiconductor manufacturing, wafers are processed and transported in batches of a constant size (called lots), typically 25 wafers. As part of the overall goal of shortening product cycle times without sacrificing throughput in wafer fabrication facilities (fabs), one idea the manufacturers are contemplating is reducing the lot size. Smaller lot sizes are now an option due to several technological and logistical advances in the industry. The transition to larger wafers (from 300 mm to 450 mm in diameter) in the next generation fabs may increase the advantages of smaller lot sizes. In this study, we analyze and evaluate the effect of lot size on cycle time and work-in-process inventory performance measures using several single machine queuing models. We support our analytical findings by a computational example. Our preliminary results indicate that reducing the lot size decreases the cycle time but, the scale of the cycle time reduction depends on the system variance and technology improvement. While the system variance limits the reduction in cycle times due to the lot size reduction, poor technology improvement may result with even higher cycle times.

关键词： Silicon wafers

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