Article
Engineering, Industrial
Nicolas P. Campana, Manuel Iori, Mayron Cesar O. Moreira
Summary: This study proposes new algorithms for the assembly line balancing problem with hierarchical worker assignment, aiming to minimize total cost while satisfying cycle time and precedence constraints. The effectiveness of the algorithms is demonstrated through extensive computational experiments on benchmark instances.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Engineering, Industrial
Eduardo alvarez-Miranda, Sebastian Chace, Jordi Pereira
Summary: The study investigates a variant of the simple assembly line balancing problem and examines the impact of parallel workstations on achieving maximum theoretical efficiency. By analyzing the complexity of the problem and proposing a heuristic solution, a new approach to improving the efficiency of the assembly process is introduced.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Computer Science, Artificial Intelligence
Adalberto Sato Michels, Alysson M. Costa
Summary: Some solutions reported in a recent paper are infeasible, potentially undermining the conclusion that the best results were obtained for 75% of the 320 test instances for the ALWABP-2. This note explores the contributions of the paper, identifies infeasible solutions, and points out potential inconsistencies in the employed heuristic.
JOURNAL OF INTELLIGENT MANUFACTURING
(2021)
Article
Engineering, Multidisciplinary
Mehmet Pinarbasi
Summary: The study proposed new mathematical programming and constraint programming models for UALBP with assignment restrictions, aiming to minimize cycle time and consider line efficiency and CPU time. Numerical experiments showed that the CP and MP models were more effective in solving the AR-UALBP problem.
ENGINEERING OPTIMIZATION
(2022)
Article
Engineering, Industrial
Thiago Cantos Lopes, Nadia Brauner, Leandro Magatao
Summary: The study shows that fractional allocations often lead to better resource utilization with relatively low costs. Higher space requirement costs are typically one-time investments, while lower cycle time represents fundamentally continuous gains.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Operations Research & Management Science
Murat Sahin, Talip Kellegoz
Summary: This article focuses on multi-manned assembly line balancing problems with walking workers and aims to minimize the number of workers and workstations simultaneously. Several exact-solution algorithms based on Benders' decomposition are proposed, including a constructive heuristic and problem-specific constraints. Results show significant improvement in solving larger-sized instances and the ability to find optimal solutions for previously unsolvable instances.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Robotics
Hyungjoon Yang, Je-Hun Lee, Sang Hyun Lee, Seung Gi Lee, Hyung Rok Kim, Hyun-Jung Kim
Summary: The task assignment and worker balancing problem in assembly lines is crucial for maximizing productivity. This study focuses on a real automotive parts assembly line where multiple workers perform various tasks simultaneously in a workstation, with each worker's processing time varying. New positional constraints are introduced to ensure each worker's working space. The goal is to minimize cycle time, and a filtered beam search algorithm is proposed to efficiently solve large-scale instances.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Article
Computer Science, Artificial Intelligence
Mehmet Pinarbasi
Summary: In this study, two new chance-constrained nonlinear models were proposed for the stochastic U-type assembly line balancing problem (ALBP), one belonging to mixed-integer programming (MIP) and the other to constraint programming (CP). The linearized chance-constrained counterparts were developed using a transformation approach to reduce model complexity and solve the models linearly. Several numerical experiments were conducted to test the effectiveness of the proposed models, demonstrating that the CP and MIP models were more successful in solving the stochastic U-type ALBP.
Article
Computer Science, Interdisciplinary Applications
Moacyr Carlos Possan Junior, Adalberto Sato Michels, Leandro Magatao
Summary: This paper proposes a novel approach to incorporate ergonomic issues into the decision process of Simple Assembly Line Balancing Problem (SALBP). A Mixed-Integer Linear Programming (MILP) model is presented to address the problem and consider the Occupational Repetitive Action (OCRA) risk indicators. The method achieves satisfactory results in the testing phase.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Management
Sadegh Niroomand, Bela Vizvari
Summary: This paper introduces new mathematical models and criteria for designing assembly lines with workload balancing. These models provide better results with fewer variables and constraints.
IMA JOURNAL OF MANAGEMENT MATHEMATICS
(2023)
Article
Engineering, Industrial
Francesco Zangaro, Stefan Minner, Daria Battini
Summary: This paper investigates the Joint Assembly Line Balancing and Feeding Problem (JALBFP) and proposes a heuristic approach and mathematical model to solve it for multi-manned assembly lines. Through numerical studies, the effectiveness of the heuristic approach is validated, and it is found that the JALBFP method can significantly reduce the overall cost compared to the sequential approach.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Management
Johannes Diefenbach, Raik Stolletz
Summary: This study analyzes the assembly line balancing problem with stochastic task times. A sampling approach is developed to ensure line reliability. The research proves that lower bounds for the related deterministic problem can be transformed into lower bounds for the sampling formulation. The study exemplifies the use of these bounds in a reliability-based branch-and-bound algorithm and proposes effective fathoming strategies based on the transformed lower bounds or direct consideration of line reliability.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Engineering, Industrial
Eda Goksoy Kalaycilar, Sakine Batun, Meral Azizoglu
Summary: The study focuses on a partial disassembly line balancing problem with hazardous tasks and uncertainties. By formulating the problem as a two-stage stochastic mixed-integer program and considering the parameters such as the number of tasks, hazardous tasks, and success probabilities, the study demonstrates the effectiveness of stochastic programming models in addressing the issue.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
Moacyr Carlos Junior, Adalberto Sato Michels, Leandro Magatao
Summary: This study proposes a novel constraint programming model to solve the Multi-manned Assembly Line Balancing Problem and improves the solution quality compared to existing literature. The model found 126 optimal solutions from a dataset of 140 instances.
COMPUTERS & OPERATIONS RESEARCH
(2024)
Article
Engineering, Industrial
Zulal Diri Kenger, Cagri Koc, Eren Ozceylan
Summary: This paper introduces a method that integrates disassembly line balancing and routing problem with mobile additive manufacturing, and experiments show that additive manufacturing technology can be successfully incorporated into the supply chain, resulting in significant reductions in inventory and total cost.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2021)
Article
Computer Science, Interdisciplinary Applications
Tamas Koltai, Viola Tatay, Noemi Kallo
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2014)
Article
Engineering, Industrial
Tamas Koltai, Viola Tatay
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2011)
Article
Engineering, Industrial
Tamas Koltai, Imre Dimeny, Viola Gallina, Alexander Gaal, Chiara Sepe
Summary: This paper explores the impact of adding robots to assembly lines and how traditional assembly line balancing models can be modified to determine the optimal number of workstations and cycle time. Mathematical programming models are used to analyze three scenarios: assigning only workers, assigning either a worker or a robot, and assigning both a robot and a worker to specific workstations. The proposed models can assist operations management in making decisions related to assembly line configuration.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2021)
Article
Health Policy & Services
Tamas Koltai, Rita Denes, Zoltan Denes
Summary: The effective and efficient operation of public healthcare systems is crucial and requires accurate efficiency information. This study evaluates the efficiency of in-patient rehabilitation units in Hungary, focusing on those attending to stroke or acquired brain injury patients. The novelty of the method lies in considering the change in patients' functional status.
HEALTH SERVICES MANAGEMENT RESEARCH
(2023)
Article
Business
Tamas Koltai, Alexandra Tamas
Summary: Business simulation games are widely used in higher education and management training, and the evaluation of participants' performance is often needed. In this study, data envelopment analysis (DEA) is proposed as a method to assess the performance of teams in business simulation games. By applying weight restrictions, efficiency scores that can be used as alternative financial measures are obtained. The research findings show that DEA results can provide reliable and detailed information about participants' performance and suggest possible ways to improve performance if the weight restriction parameters are properly set.
INTERNATIONAL JOURNAL OF MANAGEMENT EDUCATION
(2022)
Article
Operations Research & Management Science
Imre Dimeny, Tamas Koltai
Summary: The objective of Assembly Line Balancing is to assign tasks to workstations efficiently. Different types of problems and constraints have made it challenging, and most of these problems require a lot of time and computational power to solve. Custom-made algorithms and generic approaches have been developed, with the latter being more flexible for handling variations. This paper compares two generic approaches, Mixed Integer Linear Programming (MILP) and Constraint Programming (CP), for partially automated assembly line balancing problems.
CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH
(2023)
Proceedings Paper
Automation & Control Systems
Imre Dimeny, Tamas Koltai
Summary: The benefits of automation in human-operated assembly lines are well known, but complete automation is not always possible. A combined production system with both manual and automated parts could be the best configuration in such circumstances. MILP models are suggested to evaluate the impact of adding robots to the line on total workers' workload and assist decision makers in finding the optimal line configuration.
Proceedings Paper
Automation & Control Systems
Imre Dimeny, Tamas Koltai, Chiara Sepe, Teresa Murino, Viola Gallina, Titanilla Komenda
Summary: This study discusses the optimal configuration of automation in human-operated assembly lines, proposing three MILP models to optimize the number of workers, robots, and cycle time, based on a predefined number of stations.
Proceedings Paper
Automation & Control Systems
Lukas Lingitz, Viola Gallina, Csaba Kardos, Tamas Koltai, Wilfried Sihn
Article
Management
Rita Veronika Denes, Judit Kecskes, Tamas Koltai, Zoltan Denes
QUALITY INNOVATION PROSPERITY-KVALITA INOVACIA PROSPERITA
(2017)
Article
Engineering, Multidisciplinary
Tamas Koltai, Judit Uzonyi-Kecskes
ACTA POLYTECHNICA HUNGARICA
(2017)
Article
Computer Science, Interdisciplinary Applications
Tamas Koltai, Noemi Kallo
COMPUTERS & INDUSTRIAL ENGINEERING
(2017)
Article
Computer Science, Interdisciplinary Applications
Tamas Koltai, Sebastian Lozano, Judit Uzonyi-Kecskes, Placido Moreno
COMPUTERS & INDUSTRIAL ENGINEERING
(2017)
Proceedings Paper
Automation & Control Systems
Tamas Koltai, Noemi Kallo, Rita Gyoerkoes