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
Engineering, Industrial
Niloofar Katiraee, Martina Calzavara, Serena Finco, Olga Battaia, Daria Battini
Summary: In manual assembly systems, the differences in workers' skills, expertise level, and physical effort perception greatly influence assembly line balancing and system performance. This study proposes a methodological framework and an easy-to-use Assembly Line Worker Assignment and Rebalancing Problem, which considers workers' performance variability, integration of worker-dependent physical exertion constraints, and the possibility of using trainers to assist inexperienced workers. A bi-objective linear programming model is introduced to minimize cycle time and the number of reassigned tasks while integrating new workers with different characteristics. The results obtained from three real cases demonstrate the successful application of the developed model in manufacturing companies to address workforce turnover and skills heterogeneity.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Mohammed-Amine Abdous, Xavier Delorme, Daria Battini, Fabio Sgarbossa, Sandrine Berger-Douce
Summary: This article introduces a method for considering ergonomics in the design phase of assembly lines. Currently, assembly line workers face challenges related to musculoskeletal disorders and ergonomics problems, which deteriorate the economic condition of production systems. The authors propose a method based on integer linear programming to address the assembly line balancing problem with the consideration of fatigue recovery criteria.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
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
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
Engineering, Multidisciplinary
Nessren Zamzam, Amin K. El-Kharbotly, Yomna Sadek
Summary: This study focuses on balancing the physical effort among workers in two-sided assembly lines commonly used for heavy industries. A genetic algorithm and a new decoding scheme are proposed, along with the introduction of an effort smoothness index (ESI). Results show that balancing physical effort is influential and achievable at no extra cost for most cases, but harder to achieve in difficult problems of high strength order.
AIN SHAMS ENGINEERING JOURNAL
(2021)
Article
Engineering, Industrial
Serena Finco, Mohammed-Amine Abdous, Martina Calzavara, Daria Battini, Xavier Delorme
Summary: This paper proposes a bi-objective manual assembly line design model to avoid excessive daily vibration exposures in occupational sectors. The model minimizes total equipment costs and vibration levels by respecting ISO 5349-1 threshold values, using the epsilon-constraint approach to find the Pareto frontier. The method can solve small and medium size instances, providing safe vibration exposure levels with low additional investment.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Chemistry, Multidisciplinary
Marco Bortolini, Lucia Botti, Francesco Gabriele Galizia, Alberto Regattieri
Summary: The study proposed a bi-objective optimization model for RMSs, aiming to improve system design and management by minimizing reconfiguration time and reducing repetitive movements by human operators. Results showed a good trade-off between the two objective functions, demonstrating the potential to enhance ergonomic conditions for human operators without significantly increasing the total time needed for system operations.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Industrial
Muhammet Ceyhan Sahin, Mustafa Kemal Tural
Summary: To stay competitive and adapt to the Industry 4.0 revolution, manufacturing companies are incorporating robots in their assembly processes to replace human workers. This study focuses on the impact of robots on cycle time in stochastic assembly lines with human-robot collaboration. The research proposes formulations and conducts computational studies to explore the stochastic assembly line balancing problem and evaluate the effects of robots on cycle times.
FLEXIBLE SERVICES AND MANUFACTURING JOURNAL
(2023)
Article
Computer Science, Interdisciplinary Applications
Paraskevi Th. Zacharia, Elias K. Xidias, Andreas C. Nearchou
Summary: This article discusses the assembly line balancing problem in production lines with collaborative robots. Collaborative robots have the potential to improve automation, productivity, accuracy, and flexibility in manufacturing. The article explores the use of a problem-specific metaheuristic to solve this complex problem under uncertainty.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)
Article
Engineering, Industrial
Mohammed-Amine Abdous, Xavier Delorme, Daria Battini, Sandrine Berger-Douce
Summary: Manufacturing systems are social-technical systems that involve interactions between humans and technologies in shared workspaces. Collaborative manufacturing systems combine the benefits of human workers and Industry 4.0 technologies and are useful in flexible and adaptable contexts. The key problems in designing these systems are line balancing and equipment selection. We propose a multi-objective approach that optimizes investment costs and ergonomics, and developed a solving algorithm based on epsilon-constraint to achieve a trade-off between these objectives.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Review
Computer Science, Artificial Intelligence
Parames Chutima
Summary: This review paper addresses the development and generalization of the research on the robotic assembly line balancing problem (RALBP) over time. The RALBP is classified and divided based on the types of layouts and the 4 M (Man, Machine, Material, and Method) concept. The main contributions of different articles are summarized chronologically in a table, and the research contribution precedence diagram illustrates the sequential order and linkage relationship among studies. Future research directions are pinpointed and discussed based on the findings of the review.
JOURNAL OF INTELLIGENT MANUFACTURING
(2022)
Article
Engineering, Industrial
Daria Leiber, Gunther Reinhart
Summary: This article presents a novel approach for the automated design of assembly lines that addresses the interdependency between resource selection and positioning, introducing a bi-level optimization method. The method is economically promising as the design of assembly lines requires expert knowledge and is mostly done manually.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Computer Science, Interdisciplinary Applications
Thiago Cantos Lopes, Adalberto Sato Michels, Celso Gustavo Stall Sikora, Nadia Brauner, Leandro Magatao
Summary: This study introduces an economically robust solution to the assembly line balancing problem by designing assembly lines that allow flexible alternation between cycle times in response to demand fluctuations. A mixed-integer linear programming model is used to describe the problem, with a heuristic procedure implemented to quickly generate high-quality solutions.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Computer Science, Information Systems
Maria Lua Nunes, Duarte Folgado, Carlos Fujao, Luis Silva, Joao Rodrigues, Pedro Matias, Marilia Barandas, Andre Carreiro, Sara Madeira, Hugo Gamboa
Summary: Musculoskeletal disorders (MSD) are a prevalent work-related health issue, and hazardous postures pose a risk to their development. This study developed an inertial sensor-based approach to evaluate posture in industrial contexts, and found that traditional posture risk assessment tools do not consider posture risk differences among different operators.
Article
Computer Science, Interdisciplinary Applications
Adil Baykasoglu, Nurhan Dudakli, Mumin Emre Senol, Feyzi Komurcu
Summary: This paper aims to optimize the efficiency of spar cap production in wind turbine blade production by introducing a new optimization problem and developing two mathematical programming models. Solving the roll allocation problem optimally can significantly reduce workers' walking time/distance, improve manufacturing practices, indirectly reduce total operation time, and increase productivity in wind turbine blade production.
ENGINEERING WITH COMPUTERS
(2021)
Article
Engineering, Industrial
Adil Baykasoglu
Summary: This study optimised cutting conditions in multi-pass milling using a weighted superposition attraction algorithm, satisfying all cutting constraints and providing the best solutions for all test cases within a reasonable computational time.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Operations Research & Management Science
Adil Baykasoglu, Nurhan Dudakli, Kemal Subulan, A. Serdar Tasan
Summary: This paper explores the importance of fleet planning in intermodal transportation and proposes a holistic approach to address the complexity of fleet planning in comparison with unimodal systems. Through a comprehensive mixed-integer linear programming model, the optimization of fleet planning is achieved.
OPERATIONAL RESEARCH
(2022)
Article
Computer Science, Artificial Intelligence
Fehmi Burcin Ozsoydan, Adil Baykasoglu
Summary: The Flower Pollination Algorithm (FPA) simulates the pollination behavior of flowers to solve global optimization problems, and has been extended and modified to improve performance. Modifications include adjustments to the pollination mechanism and convergence control, as well as the extension to a species-based algorithm for independent search of promising regions. These modifications show significant improvements in solving various optimization problems.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Adil Baykasoglu, Fatma S. Madenoglu
Summary: This study proposed a GRASP algorithm for simultaneous dynamic scheduling of operations and preventive maintenance activities in flexible job shops, considering various dynamic events and maintenance strategies. The results demonstrated that this approach is effective in improving performance in dynamic flexible job shop scheduling environments.
Article
Computer Science, Artificial Intelligence
Adil Baykasoglu, Elif Ercan
Summary: The paper examines the rank reversal problem in MADM methods, focusing on the WASPAS method. Computational experiments show that traditional normalization techniques lead to rank reversal problems in WASPAS, but using modified normalization techniques can mitigate this issue.
Review
Automation & Control Systems
Tolga Cimen, Adil Baykasoglu, Sebnem Demirkol Akyol
Summary: This study offers a detailed review of assembly line rebalancing problems (ALRBPs) by analyzing 41 papers published between 2005 and 2022, identifying different problem structures, objective functions, solution approaches, and future research directions, providing a better insight into the theoretical and practical applications of ALRBPs.
ASSEMBLY AUTOMATION
(2022)
Article
Computer Science, Cybernetics
Adil Baykasoglu, Burcu Felekoglu, Ceylin Unal
Summary: The usage of learning management systems (LMSs) has become widespread due to the disruption caused by the COVID-19 pandemic. Selecting a suitable LMS is a complex decision-making problem that involves considering multiple criteria and inputs from different parties. Usability evaluation of LMS is a critical step in the decision-making process. This study proposes an axiomatic design procedure (ADP) based approach for the perceived usability evaluation of SAKAI-LMS. The ADP method allows easy data fusion and setting performance targets. A questionnaire is developed to collect data on usability criteria and their importance from system users. The proposed approach provides an easy and practical evaluation of perceived usability of LMSs for decision makers. It has been verified through a real-life case study at an academic department.
Article
Computer Science, Artificial Intelligence
Kemal Subulan, Bilge Varol, Adil Baykasoglu
Summary: This paper introduces a new unequal-area capability-based facility layout design problem and proposes a MINLP model and a heuristic decomposition-based iterative solution approach to solve it. Computational results demonstrate the effectiveness and applicability of the proposed approach through illustrative examples and a real-life application.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Engineering, Manufacturing
Cengiz Baykasoglu, Adil Baykasoglu, Erhan Cetin
Summary: The objective of this study is to find the optimum design configurations for functionally graded lattice structure filled aluminum tubes under multiple impact loading conditions. The optimal design is sought for maximizing specific energy absorption and minimizing peak crush force by considering base strut diameter, draft angle, and aspect ratio as filler material design parameters. Finite element simulations, regression meta-models, and an attraction-repulsion algorithm were employed to establish the design space, estimate objective function values, create design alternatives, and seek their optimum combinations. The results showed that the crashworthiness performance of hybrid structures can be effectively enhanced by selecting appropriate lattice filler parameters, with a potential improvement of up to 76% in specific energy absorption for square tubes. This study provides a guideline for the optimum design of functionally graded lattice structure filled thin-walled structures under multiple impact loading conditions.
INTERNATIONAL JOURNAL OF CRASHWORTHINESS
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Adil Baykasoglu, Mumin Emre Senol
Summary: This study demonstrates the improvement of metaheuristic algorithms performance through the application of Levy flight to the WSAR algorithm. The experimental results show that the Levy flight WSAR algorithm performs better than other algorithms in constrained design optimization problems.
PROCEEDINGS OF 7TH INTERNATIONAL CONFERENCE ON HARMONY SEARCH, SOFT COMPUTING AND APPLICATIONS (ICHSA 2022)
(2022)
Article
Engineering, Industrial
Tolga Cimen, Adil Baykasoglu, Sebnem Demirkol Akyol
Summary: This paper proposes a new approach to assembly line rebalancing and worker assignment problems, taking ergonomic risks into account. By considering both task assignment and worker allocation, while aiming to minimize rebalancing costs and ergonomic risk factors, a heuristic approach is developed to solve this problem.
INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING COMPUTATIONS
(2022)
Article
Sociology
Nurhan Dudakli, Burcu Felekoglu, Adil Baykasoglu
Summary: This paper explores the reverse innovation process of multinational enterprises in emerging markets and identifies the key factors for successful reverse innovation, including the quality of innovation ideas, collaboration between MNEs and local enterprises, and unique diffusion strategies.
INNOVATION-THE EUROPEAN JOURNAL OF SOCIAL SCIENCE RESEARCH
(2022)
