Article
Engineering, Industrial
Nuno O. Fernandes, Matthias Thurer, Mark Stevenson
Summary: This article discusses the importance of workload control and its methods and effects in practical applications. The results of discrete event simulation experiments show that direct workload control can achieve performance levels comparable to other complex methods, and it is more convenient in continuous order release.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Engineering, Industrial
Stefan Haeussler, Philipp Neuner, Matthias Thurer
Summary: Most Workload Control literature assumes that delivery performance is determined solely by tardiness related performance measures, but this may not be accurate for make-to-stock companies or firms in supply chains. This study revisits the use of time limits and proposes adaptive policies to balance reducing earliness and responding to periods of high load. The results show that using a time limit only in periods of high load is the best policy.
FLEXIBLE SERVICES AND MANUFACTURING JOURNAL
(2023)
Article
Engineering, Industrial
Matthias Thurer, Lin Ma, Mark Stevenson
Summary: Most manufacturing shops have limited physical space in front of each workstation, leading to potential job blocking which can impact production efficiency. However, Workload Control and order release can mitigate the impact, especially crucial in shops with blocking or space constraints. In a pure flow shop, the impact of blocking is less pronounced due to directed routing.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Engineering, Industrial
Marcello Braglia, Leonardo Marrazzini, Luca Padellini
Summary: This paper presents the real industrial application of COBACABANA in an Italian manufacturer, introduces new boards and a form to enhance production control and order monitoring.
PRODUCTION PLANNING & CONTROL
(2022)
Article
Management
Matthias Thurer, Mark Stevenson
Summary: This study evaluates the combined performance effect of vehicle assignment, order release, and dispatching rules, showing that assigning a vehicle to the station with the largest outgoing queue leads to the best performance. Additionally, order release has a direct detrimental performance effect in job shops with material handling constraints.
OPERATIONS MANAGEMENT RESEARCH
(2021)
Article
Public, Environmental & Occupational Health
Fatemeh Rostami, Amin Babaei-Pouya, Gholamheidar Teimori-Boghsani, Azam Jahangirimehr, Zahra Mehri, Maryam Feiz-Arefi
Summary: In this study, job control was found to moderate the relationship between mental workload and job satisfaction among healthcare workers. Nurses and midwives had higher mental workload but also higher job satisfaction and job control compared to administrative workers. The findings suggest that job control plays an important role in improving working conditions and job satisfaction in healthcare workers.
FRONTIERS IN PUBLIC HEALTH
(2021)
Article
Chemistry, Multidisciplinary
Paolo Renna
Summary: The reduction in emissions and increasing energy costs drive companies to find solutions to reduce energy consumption in production systems. One proposed approach is shutting down machines in idle state, which does not affect production processes and can be applied in various manufacturing fields. This paper proposes switch-off policies in manufacturing systems under a workload control system, considering queue length and workload evaluation. Simulation models have been developed to test these policies, and the results show that the switch policies significantly reduce on/off activities and ensure lower energy consumption.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Interdisciplinary Applications
Xiaoyan Yan, Xiuli Wu
Summary: This study focuses on the job release problem in a reentrant hybrid flow shop. A mathematical model and an improved evolutionary algorithm are proposed to increase output and reduce jobs' waiting time effectively.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Management
Karim Tamssaouet, Stephane Dauzere-Peres
Summary: This article presents a framework that unifies and generalizes well-known literature results on local search for job-shop and flexible job-shop scheduling problems. The proposed framework focuses on quickly ruling out infeasible moves and evaluating the quality of feasible neighbors, which are crucial for the success of local search approaches. It can be applied to any scheduling problem with an appropriate defined neighborhood structure. The proposed framework introduces novel procedures for evaluating feasibility and estimating the value of objective functions for neighbor solutions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Engineering, Industrial
Davide Mezzogori, Giovanni Romagnoli, Francesco Zammori
Summary: This study proposed a method that integrates a simple WLC system with a predictive tool to reduce variability in queuing time and make the forecasting approach more useful in industrial applications. Through simulation testing in a 6-machines job-shop controlled with WLC and equipped with the proposed forecasting system, the robustness and quality of the approach were demonstrated.
FLEXIBLE SERVICES AND MANUFACTURING JOURNAL
(2021)
Article
Management
Jayanth Krishna Mogali, Laura Barbulescu, Stephen F. Smith
Summary: The blocking job shop problem is a variant of the classic job shop problem. Local search heuristics have been shown to produce good quality solutions for this problem, but the computational complexity of existing algorithms is high. This study presents new theoretical results to significantly improve the computational efficiency of local search procedures, demonstrating superior performance on benchmarks.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Computer Science, Artificial Intelligence
Nan Zhu, Guiliang Gong, Dian Lu, Dan Huang, Ningtao Peng, Hao Qi
Summary: This research proposes a solution to the distributed flexible job shop scheduling problem considering order cancellation for the first time. The reformative memetic algorithm designed in this work shows outstanding performance in reducing resource waste.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Computer Science, Artificial Intelligence
Xiuli Wu, Xiaoyan Yan, Ling Wang
Summary: This study focuses on optimizing job release and scheduling in a reentrant hybrid flow shop, proposing a mathematical model for minimizing makespan and total energy consumption. An improved multi-objective evolutionary algorithm is introduced to effectively solve this strongly NP-hard problem.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Chemistry, Multidisciplinary
Philipp Wenzelburger, Frank Allgower
Summary: This study presents a novel scheduling scheme based on Model Predictive Control (MPC) to flexibly adapt to changes in manufacturing systems. The modular initial scheduling problem is automatically transformed into a Petri Net formulation, which serves as the foundation for two MPC schemes. These schemes are proven to complete the production problem in closed loop under reasonable assumptions, showcasing the advantages of the control framework for flexible manufacturing systems.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Industrial
Philipp Neuner, Stefan Haeussler
Summary: An essential task in manufacturing planning and control is to determine when to release orders to the shop floor. This study compares the adapted LUMS-COR model with two approaches from the semiconductor manufacturing literature, showing that the LUMS-COR model yields lower total costs and better performance compared to the other two order release approaches, and is robust across different settings.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Engineering, Industrial
Matthias Thuerer, Mark Stevenson, Martin J. Land, Larry D. Fredendall
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2019)
Article
Health Care Sciences & Services
Myrtede Alfred, Ken Catchpole, Emily Huffer, Larry Fredendall, Kevin M. Taaffe
BMJ QUALITY & SAFETY
(2020)
Editorial Material
Management
Lawrence D. Fredendall, Jeffery S. Smith
JOURNAL OF OPERATIONS MANAGEMENT
(2020)
Article
Food Science & Technology
Luana Bonome Message Costa, Moacir Godinho Filho, Lawrence D. Fredendall, Gilberto Miller Devos Ganga
Article
Health Care Sciences & Services
Myrtede Alfred, Ken Catchpole, Emily Huffer, Larry Fredendall, Kevin M. Taaffe
Summary: This study conducted at a 700-bed academic hospital in the Southeastern United States aimed to develop a comprehensive understanding of the assembly stage of reprocessing through work systems analysis. Various work challenges impacting reliable instrument reprocessing, such as technological shortcomings, production pressures, and tray composition, were identified, highlighting the need for a well-designed instrument tracking system, standardised nomenclature, effective coordination between SPD and the OR, and well-trained sterile processing technicians to improve overall reliability and minimise tray defects in surgical settings.
BMJ QUALITY & SAFETY
(2021)
Article
Public, Environmental & Occupational Health
Kevin M. Taaffe, Robert W. Allen, Lawrence D. Fredendall, Marisa Shehan, Mary Grace Stachnik, Taliyah Smith, Alfredo M. Carbonell, Emily Glover, Alexis Fiore
Summary: This study identifies that factors such as the duration and width of door opening, as well as staff movement, can increase the microbial load in the operating room. Results show that there is a higher microbial load on the floor compared to waist level. Further research is needed to determine how the number of staff affects microbial load and how to reduce it at the surgical table.
INFECTION CONTROL AND HOSPITAL EPIDEMIOLOGY
(2021)
Article
Engineering, Industrial
Luana Bonome Message Costa, Moacir Godinho Filho, Lawrence D. Fredendall, Gilberto Miller Devos Ganga
Summary: Lean Six Sigma is a hybrid initiative aimed at improving organizational performance. This study develops measurement scales for LSS competencies and tests their application in the food industry, providing insights for enhancing competitiveness in that sector.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2021)
Article
Management
Martin J. Land, Matthias Thurer, Mark Stevenson, Lawrence D. Fredendall, Kirstin Scholten
Summary: Improving flow efficiency is a crucial theme in operations management, but companies often struggle to achieve flow improvements due to a lack of a structured and independent process to identify root causes of issues. Managers tend to rely on single production management concepts to understand flow problems, which can lead to unsuccessful interventions.
JOURNAL OF OPERATIONS MANAGEMENT
(2021)
Editorial Material
Nursing
Gregory Hair, Lawrence D. Fredendall
Summary: This paper explains how an urban emergency department achieved significant and sustained improvement in multiple value dimensions in less than two years by using action plans. The consistent use of action plans to focus member attention on goals is a simple best practice that can be implemented in all facilities.
Article
Business
Adrian S. Choo, Jamison V. Kovach, Lawrence D. Fredendall
Summary: This paper explores the direct and moderating effects of learning opportunities on team learning in the context of behavioral healthcare. The study finds that spontanuous surprises during problem solving activities are positively correlated with team learning, while collective reflections on surprises also facilitate team learning. Additionally, the paper suggests that spontaneously occurring surprises can negatively moderate the effect of induced learning opportunities on team learning.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2021)
Article
Emergency Medicine
Dorothy Williams, Lawrence D. Fredendall, Gregory Hair, Jim Kilton, Cassie Mueller, Joshua D. Gray, Christian Graver, Jaeyoung Kim
Summary: This study focuses on the application of nurse standard work in reducing the average length of stay and the rate of patients leaving without being seen in the fast-track area of an emergency department. The results show that nurse standard work efficiently reduces the length of stay and the rate of patients leaving without being seen, allowing more time for direct interaction between nurses and patients.
JOURNAL OF EMERGENCY NURSING
(2022)
Article
Business
Brandon W. Lee, Min Kyung Lee, Lawrence Fredendall
Summary: This study empirically examines the impact of relative performance feedback (RPF) in simulation games on students' learning and outcome performance. The findings suggest that providing RPF through leaderboards improves teams' feedback responses, leading to higher learning and outcome performance.
INTERNATIONAL JOURNAL OF MANAGEMENT EDUCATION
(2022)
Article
Health Policy & Services
Kevin Taaffe, Yann B. B. Ferrand, Amin Khoshkenar, Lawrence Fredendall, Dee San, Patrick Rosopa, Anjali Joseph
Summary: This study aims to improve the safety of clinical care in operating rooms by examining the impact of the physical environment and procedure characteristics on surgical team movement and contacts. Using video recordings and a simulation model, the study analyzed how OR size, layout, and other factors affect surgical team contacts. The results showed that OR size, CN workstation location, and team size significantly influenced surgical team contacts, as did interactions between staff, procedure type, table orientation, and CN workstation location. The findings have important implications for OR managers and future research on OR design.
HEALTH CARE MANAGEMENT SCIENCE
(2023)
Article
Management
Uzay Damali, Lawrence D. Fredendall, Janis L. Miller, DeWayne Moore, Cheryl J. Dye
Summary: The study found that written materials were most effective for conveying large amounts of information in coproduction tasks, while face-to-face training was better for tasks requiring comprehension of information with multiple interpretations. Additionally, patients performed tasks better when trained with face-to-face media, especially when the tasks required conveying little new information.
Article
Management
Matthias Thurer, Thomas Maschek, Lawrence Fredendall, Peter Gianiodis, Mark Stevenson, Jochen Deuse
MANAGEMENT RESEARCH REVIEW
(2019)
Review
Management
Vinicius N. Motta, Miguel F. Anjos, Michel Gendreau
Summary: This survey presents a review of optimization approaches for the integration of demand response in power systems planning and highlights important future research directions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Philipp Schulze, Armin Scholl, Rico Walter
Summary: This paper proposes an improved branch-and-bound algorithm, R-SALSA, for solving the simple assembly line balancing problem, which performs well in balancing workloads and providing initial solutions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Roshan Mahes, Michel Mandjes, Marko Boon, Peter Taylor
Summary: This paper discusses appointment scheduling and presents a phase-type-based approach to handle variations in service times. Numerical experiments with dynamic scheduling demonstrate the benefits of rescheduling.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Oleg S. Pianykh, Sebastian Perez, Chengzhao Richard Zhang
Summary: Efficient scheduling is crucial for optimizing resource allocation and system performance. This study focuses on critical utilization and efficient scheduling in discrete scheduling systems, and compares the results with classical queueing theory.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Review
Management
Hamed Jahani, Babak Abbasi, Jiuh-Biing Sheu, Walid Klibi
Summary: Supply chain network design is a large and growing area of research. This study comprehensively surveys and analyzes articles published from 2008 to 2021 to detect and report financial perspectives in SCND models. The study also identifies research gaps and offers future research directions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Patrick Healy, Nicolas Jozefowiez, Pierre Laroche, Franc Marchetti, Sebastien Martin, Zsuzsanna Roka
Summary: The Connected Max-k-Cut Problem is an extension of the well-known Max-Cut Problem, where the objective is to partition a graph into k connected subgraphs by maximizing the cost of inter-partition edges. The researchers propose a new integer linear program and a branch-and-cut algorithm for this problem, and also use graph isomorphism to structure the instances and facilitate their resolution. Extensive computational experiments show that, if k > 2, their approach outperforms existing algorithms in terms of quality.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Victor J. Espana, Juan Aparicio, Xavier Barber, Miriam Esteve
Summary: This paper introduces a new methodology based on the machine learning technique MARS for estimating production functions that satisfy classical production theory axioms. The new approach overcomes the overfitting problem of DEA through generalized cross-validation and demonstrates better performance in reducing mean squared error and bias compared to DEA and C2NLS methods.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Stefano Nasini, Rabia Nessah
Summary: In this paper, the authors investigate the impact of time flexibility in job scheduling, showing that it can significantly affect operators' ability to solve the problem efficiently. They propose a new methodology based on convex quadratic programming approaches that allows for optimal solutions in large-scale instances.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Zhiqiang Liao, Sheng Dai, Timo Kuosmanen
Summary: Nonparametric regression subject to convexity or concavity constraints is gaining popularity in various fields. The conventional convex regression method often suffers from overfitting and outliers. This paper proposes the convex support vector regression method to address these issues and demonstrates its advantages in prediction accuracy and robustness through numerical experiments.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Kuo-Hao Chang, Ying-Zheng Wu, Wen-Ray Su, Lee-Yaw Lin
Summary: The damage and destruction caused by earthquakes necessitates the evacuation of affected populations. Simulation models, such as the Stochastic Pedestrian Cell Transmission Model (SPCTM), can be utilized to enhance disaster and evacuation management. The analysis of SPCTM provides insights for government officials to formulate effective evacuation strategies.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Qinghua Wu, Mu He, Jin-Kao Hao, Yongliang Lu
Summary: This paper studies a variant of the orienteering problem known as the clustered orienteering problem. In this problem, customers are grouped into clusters and a profit is associated with each cluster, collected only when all customers in the cluster are served. The proposed evolutionary algorithm, incorporating a backbone-based crossover operator and a destroy-and-repair mutation operator, outperforms existing algorithms on benchmark instances and sets new records on some instances. It also demonstrates scalability on large instances and has shown superiority over three state-of-the-art COP algorithms. The algorithm is also successfully applied to a dynamic version of the COP considering stochastic travel time.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Bjorn Bokelmann, Stefan Lessmann
Summary: Estimating treatment effects is an important task for data analysts, and uplift models provide support for efficient allocation of treatments. However, evaluating uplift models is challenging due to variance issues. This paper theoretically analyzes the variance of uplift evaluation metrics, proposes variance reduction methods based on statistical adjustment, and demonstrates their benefits on simulated and real-world data.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Congzheng Liu, Wenqi Zhu
Summary: This paper proposes a feature-based non-parametric approach to minimizing the conditional value-at-risk in the newsvendor problem. The method is able to handle both linear and nonlinear profits without prior knowledge of the demand distribution. Results from numerical and real-life experiments demonstrate the robustness and effectiveness of the approach.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Laszlo Csato
Summary: This paper compares the performance of the eigenvalue method and the row geometric mean as two weighting procedures. Through numerical experiments, it is found that the priorities derived from the two eigenvectors in the eigenvalue method do not always agree, while the row geometric mean serves as a compromise between them.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Guowei Dou, Tsan-Ming Choi
Summary: This study investigates the impact of channel relationships between manufacturers on government policies and explores the effectiveness of positive incentives versus taxes in increasing social welfare. The findings suggest that competition may be more effective in improving sustainability and social welfare. Additionally, government incentives for green technology may not necessarily enhance sustainability.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
