Article
Engineering, Marine
Javier Pernas-Alvarez, Diego Crespo-Pereira
Summary: This work proposes an innovative constrained programming model to solve a flexible job-shop scheduling problem in the shipbuilding industry. It incorporates the manufacturing and assembly of blocks, considering limited buffer capacity. The objective is to minimize makespan and tardiness based on ship erection due dates. The model's effectiveness is validated through various scheduling problems and applied to challenging instances of the shipbuilding problem presented in this study. The optimized results are validated and analyzed using a comprehensive simulation model.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Jaesang Park, Byung-In Kim, Myungeun Eom, Byung Kwan Choi
Summary: Operating rooms are crucial facilities in hospitals, and efficient scheduling is necessary for optimizing hospital profits and providing good healthcare services. This study focuses on OR scheduling for a Korean university hospital, considering surgeons' preferences and cooperative operations. A mathematical programming model and solution approach were proposed, demonstrating the algorithm's effectiveness in generating superior schedules compared to manual or mathematically generated ones.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Engineering, Industrial
Jongsung Lee, Byung-In Kim, Mihee Nam
Summary: This paper presents a solution approach for the welding gantry robot scheduling problem in shipyards, which can effectively reduce the makespan according to experimental tests.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Management
Maximilian Pohl, Rainer Kolisch, Maximilian Schiffer
Summary: This paper introduces an optimization model for the runway scheduling problem during winter operations, formulated as a mixed-integer linear problem and improved through pruning rules, valid inequalities, and a heuristic approach. Empirical results indicate that the model can significantly reduce aircraft delay costs within seconds compared to practice-based heuristics.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2021)
Article
Management
Czeslaw Smutnicki, Jaroslaw Pempera, Grzegorz Bocewicz, Zbigniew Banaszak
Summary: This paper investigates the problem of cyclic scheduling in a manufacturing system, considering the flow of jobs with identical technological routes, no-wait constraints, and missing operations. The problem is decomposed into two sub-problems, and alternative methods are provided for finding the minimal cycle time and optimal processing order of jobs. A metaheuristic approach is used to solve the latter sub-problem. Experimental examination demonstrates the efficiency and quality of the proposed algorithm.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Computer Science, Artificial Intelligence
Levi Ribeiro de Abreu, Bruno de Athayde Prata, Allan Costa Gomes, Stephanie Alencar Braga-Santos, Marcelo Seido Nagano
Summary: This paper introduces a new variant of the customer order scheduling problem and presents approximate algorithms to solve large-sized instances. These algorithms include an innovative size-reduction matheuristic and a biased random key genetic algorithm. Computational experiments demonstrate the superiority of the biased random key genetic algorithm compared to competitive algorithms and mathematical programming models in order scheduling.
SWARM AND EVOLUTIONARY COMPUTATION
(2022)
Article
Computer Science, Artificial Intelligence
Levi Ribeiro de Abreu, Bruno de Athayde Prata, Allan Costa Gomes, Stephanie Alencar Braga-Santos, Marcelo Seido Nagano
Summary: The study introduces a new variant of the customer order scheduling problem, presents approximate algorithms to solve large instances, and develops a novel genetic algorithm for this problem. Experimental comparisons indicate the superiority of this algorithm.
SWARM AND EVOLUTIONARY COMPUTATION
(2022)
Article
Economics
Beizhen Jia, Kevin Tierney, Line Blander Reinhardt, Julia Pahl
Summary: This paper presents the RoRo dual cycling problem (RRDCP) and a heuristic algorithm called generalized random key algorithm (GRKA) to solve it. The study found that optimizing dual cycling operations can significantly reduce fuel consumption and CO2 emissions in RoRo operations.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(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
Automation & Control Systems
Zhonghao Wang, Zhengguo Xu, Bin Liu, Yun Zhang, Qinmin Yang
Summary: The article proposes a hybrid cleaning scheduling policy for PV systems by combining periodic planning and dynamic adjustment. The strategy aims to optimize system efficiency and reliability through periodic cleaning and fine-tuning adjustments based on meteorological parameters, power generation, and dust deposition forecasts. Additionally, the consideration of forecasting uncertainty and risk preference of decision makers is discussed in the context of scheduling policy.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Engineering, Chemical
Tingxin Song, Jincheng Zhou
Summary: This paper investigates the production process of a shipbuilding enterprise and proposes a lean shipbuilding mode to address issues such as long manufacturing cycle, low personnel utilization rate, and unbalanced production line. Through the implementation of task package scheduling and its manufacturing execution system, the goals of reducing production cycle, decreasing the number of workers, and improving production balance rate have been successfully achieved.
Article
Engineering, Industrial
Victor Abu-Marrul, Rafael Martinelli, Silvio Hamacher
Summary: This paper addresses the scheduling problem of a pipe laying support vessel fleet in the oil industry, modeling it as an identical parallel machine scheduling problem and proposing three mathematical formulations. The "Batch Scheduling" formulation outperforms others in generating better solutions for the majority of instances and is currently used by a Brazilian oil company in their production system for tactical planning.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Health Care Sciences & Services
Pi-Yu Hsu, Shao-Hua Lo, Hsin-Gin Hwang, Bertrand M. T. Lin
Summary: This paper investigates the scheduling of surgical operations in multiple operating rooms with limited availability of anaesthetists. By proposing an integer programming model and developing two approximation methods, the research aims to minimize the makespan of all operations. The computational study shows that the proposed methods can generate quality solutions in just a few seconds.
Article
Management
Marc-Antoine Coindreau, Olivier Gallay, Nicolas Zufferey, Gilbert Laporte
Summary: This article discusses the logistics cross-dock scheduling problem, using a matheuristic approach to fix and optimize the schedule.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Computer Science, Artificial Intelligence
Simone Fratini, Nicola Policella, Ricardo Silva, Joao Guerreiro
Summary: Future space missions require higher levels of on-board autonomy for better scientific results, reduced ground decision-making, and new scenarios. Artificial Intelligence technologies such as Machine Learning and Automated Planning are increasingly popular in space missions, supporting on-board data analysis and decision-making systems.
APPLIED INTELLIGENCE
(2022)
Article
Biotechnology & Applied Microbiology
Jan Emblemsvag, Nina Pereira Kvadsheim, Jon Halfdanarson, Matthias Koesling, Bojrn Tore Nystrand, Jan Sunde, Celine Rebours
JOURNAL OF APPLIED PHYCOLOGY
(2020)
Article
Engineering, Industrial
Gabriele Junge, Erlend Alfnes, Bella Nujen, Jan Emblemsvag, Kristina Kjersem
Summary: This article explores how waste reduction approaches from lean thinking can be applied to engineering design in Engineer-To-Order (ETO) projects. Through a multiple case study of ten companies over a 2-year period, the findings demonstrate the applicability of lean thinking to engineering design and provide insights on eliminating waste in ETO projects, ultimately improving project performance.
PRODUCTION PLANNING & CONTROL
(2023)
Article
Green & Sustainable Science & Technology
Matthias Koesling, Nina P. Kvadsheim, Jon Halfdanarson, Jan Emblemsvag, Celine Rebours
Summary: This study investigated the environmental performance and possible improvements in seaweed protein production, revealing that seaweed protein has a global warming potential four times higher than soy protein from Brazil. Two optimal scenarios demonstrated lower environmental impacts for seaweed protein compared to soy protein.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Energy & Fuels
Jan Emblemsvag
Summary: This paper analyzes potential issues of nuclear energy in sustainable development and proposes that Thorium-based Molten Salt Reactors (TMSR) technology is clean, safe, proliferation resistant, and cost-effective. However, there is a lack of understanding and support for this technology, which is crucial for advancing sustainable energy solutions.
INTERNATIONAL JOURNAL OF SUSTAINABLE ENERGY
(2022)
Article
Energy & Fuels
Jan Emblemsvag
Summary: The study suggests that wind energy can reduce emissions to some extent compared to using gas turbines. However, achieving an affordable, low-carbon grid incorporating wind energy balanced by fossil fuel generators is infeasible with current technology, emissions, and costs.
Article
Computer Science, Theory & Methods
Marianne Synnes Emblemsvag, Jan Emblemsvag
Summary: Gresham's law states that bad money will push out good money. It has been applied in various areas with different levels of thoroughness and thoughtfulness. Although the applications are often paraphrasing, Gresham's law fits well in many cases and deserves further study. Analogies have been extensively used in the history of science, requiring a deep understanding of a phenomenon and a general description that can be applied to other domains. We believe that Gresham's law can be described using systems theory since most real-life systems fit within this framework. Through a simple simulation, we find the generic model of Gresham's law useful and applicable in qualitative research related to systems.
INTERNATIONAL JOURNAL OF GENERAL SYSTEMS
(2023)
Article
Green & Sustainable Science & Technology
Khanh Q. Bui, Lokukaluge P. Perera, Jan Emblemsvag
Summary: This study conducts a life-cycle cost analysis on an innovative marine dual-fuel engine and finds that it is more cost-effective than a conventional diesel engine under a given fuel price scenario. Uncertainties are handled using scenario sensitivity analyses and a Monte Carlo simulation, revealing that the cost effectiveness of the dual-fuel engine is sensitive to high gas price scenarios, but there is adequate confidence in choosing the dual-fuel engine. Fuel prices are found to be the most influential cost driver.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Management
Marianne Synnes Emblemsvag, Jan Emblemsvag
Summary: Destructive leadership, a leadership style that violates the well-being of subordinates and damages value for the organization, can sometimes be rewarded with promotions, leading to a cultural acceptance of such behavior in the organization.
JOURNAL OF LEADERSHIP STUDIES
(2023)
Article
Engineering, Ocean
Jan Emblemsvag
Summary: Deep-sea shipping is a major polluter in the world and currently lacks feasible alternatives. The suggestion of using a thorium-based molten salt reactor technology may provide a safe and efficient solution to this issue.
MARINE TECHNOLOGY SOCIETY JOURNAL
(2021)
Article
Energy & Fuels
Jan Emblemsvag
Summary: This paper addresses how to calculate the Levelised Cost of Energy for Solar Photovoltaics more correctly, emphasizing the need for energy storage systems and handling uncertainty. The lowest Levelised Cost of Energy occurs when the system is designed for continuous operation.
INTERNATIONAL JOURNAL OF SUSTAINABLE ENERGY
(2021)
Article
Management
Jan Emblemsvag
Article
Energy & Fuels
Jan Emblemsvag
INTERNATIONAL JOURNAL OF SUSTAINABLE ENERGY
(2020)
Review
Business, Finance
Jan Emblemsvag
JOURNAL OF RISK FINANCE
(2020)
Proceedings Paper
Engineering, Industrial
Jon Halfdanarson, Matthias Koesling, Nina Pereira Kvadsheim, Jan Emblemsvag, Celine Rebours
ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: TOWARDS SMART PRODUCTION MANAGEMENT SYSTEMS, APMS 2019, PT II
(2019)
Proceedings Paper
Engineering, Industrial
Nina Pereira Kvadsheim, Deodat Mwesiumo, Jan Emblemsvag
ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: PRODUCTION MANAGEMENT FOR THE FACTORY OF THE FUTURE, PT I
(2019)
