Article
Computer Science, Interdisciplinary Applications
Parames Chutima, Arthit Khotsaenlee
Summary: This paper presents a mathematical model for the parallel adjacent U-shaped assembly line balancing problem, which involves human workers, robots, and disabled workers. It optimizes five objectives related to the system as a whole and three other entities simultaneously. A reference point based evolutionary algorithm, NSTLBO III, is proposed to solve the NP-hard problem, and its performance is compared with two other well-known multi-objective evolutionary algorithms.
COMPUTERS & OPERATIONS RESEARCH
(2022)
Article
Engineering, Industrial
Ming Liu, Zhongzheng Liu, Feng Chu, Rongfan Liu, Feifeng Zheng, Chengbin Chu
Summary: This study investigates a new risk-averse ALWABP with uncertain disabled worker availability, limited temporary workers, and moving workers. A genetic algorithm combining K-means clustering approach and variable neighbourhood search is designed to minimize the risk-averse weighted sum of cycle time and employed temporary workers while showing superiority in solution quality and computation time compared to sample average approximation. Insights for management are drawn from the experiment results.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
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
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
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
Computer Science, Interdisciplinary Applications
Paraskevi Th. Zacharia, Andreas C. Nearchou
Summary: This study addresses the assembly line worker assignment and balancing problem with fuzzy task times by utilizing fuzzy concepts and proposing a multiobjective genetic algorithm. Experiment results demonstrate the efficiency of this approach in terms of solution and time quality.
ENGINEERING COMPUTATIONS
(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)
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
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)
Review
Management
Nils Boysen, Philipp Schulze, Armin Scholl
Summary: The assembly line balancing problem is crucial for mass-producers to optimize labor division among workstations. This paper surveys scientific literature on this topic, covering data gathering methods, new problem variants and models, important algorithmic developments, and proposing a research agenda for the future.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Engineering, Industrial
Eduardo Alvarez-Miranda, Jordi Pereira, Camila Vargas, Mariona Vila
Summary: This study proposes a new local search algorithm for solving simple assembly line balancing problems, which improves the best known solution and is comparable to existing methods. The algorithm explores the solution space using variable-length sequences. Additionally, the characteristics of instances where the algorithm outperforms previous construction procedures are investigated.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(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
Materials Science, Textiles
Minsuk Kim, Sungmin Kim
Summary: The mixed work assignment technique was used in the modular production concept to solve the apparel assembly line balancing problem. An algorithm was implemented to generate workstations and assign tasks considering the manufacturing process. Worker assignment was also performed based on skill level. A simulation of producing 100 men's shirts showed that line balancing through both task and worker assignment significantly reduced production time compared to previous studies.
JOURNAL OF ENGINEERED FIBERS AND FABRICS
(2023)
Article
Management
Marcus Ritt, Alysson M. Costa
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH
(2018)
Article
Computer Science, Interdisciplinary Applications
Avril Horne, Simranjit Kaur, Joanna Szemis, Alysson Costa, J. Angus Webb, Rory Nathan, Michael Stewardson, Lisa Lowe, Natashia Boland
ENVIRONMENTAL MODELLING & SOFTWARE
(2017)
Article
Management
Landir Sayiniec, Maristela O. Santos, Alysson M. Costa
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2018)
Article
Management
Ashwani Kumar, Alysson M. Costa, Mark Fackrell, Peter G. Taylor
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2018)
Article
Management
Beatriz B. Oliveira, Maria Antonia Carravilla, Jose F. Oliveira, Alysson M. Costa
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2019)
Article
Engineering, Civil
Avril C. Horne, Simranjit Kaur, Joanna M. Szemis, Alysson M. Costa, Rory Nathan, J. Angus Webb, Michael J. Stewardson, Natashia Boland
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
(2018)
Article
Engineering, Civil
Simranjit Kaur, Avril C. Horne, Rory Nathan, Joanna M. Szemis, Laura Gibson, Alysson M. Costa, J. Angus Webb, Michael Stewardson
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
(2019)
Article
Management
Landir Saviniec, Maristela O. Santos, Alysson M. Costa, Lana M. R. dos Santos
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2020)
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, Environmental
Cheng Cheng, Rui Zhu, Alysson M. Costa, Russell George Thompson
Summary: This paper discusses disaster waste clean-up after large disasters in the recovery stage of disaster management and develops a multi-objective mixed integer programming model to minimize the total clean-up cost and time. Experimental results show that the model can obtain close to optimal solutions within an acceptable computing time.
Article
Computer Science, Interdisciplinary Applications
Pedro B. Castellucci, Alysson M. Costa, Franklina Toledo
Summary: The study proposed a mixed-integer linear programming model for optimizing the transportation of goods in open networks with multiple cross-docks considering the three-dimensional aspects of the cargo. Additionally, a logic-based Benders decomposition strategy was introduced to handle larger instances compared to a branch-and-cut MIP solver. The framework proved to be flexible enough to accommodate other features of practical cases and improve solution efficiency.
COMPUTERS & OPERATIONS RESEARCH
(2021)
Article
Transportation
Cheng Cheng, Rui Zhu, Alysson M. Costa, Russell G. Thompson, Xiang Huang
Summary: This study develops a model to minimize the cost and duration of disaster waste clean-up using Temporary Disaster Waste Management Sites (TDWMSs). Results show that using TDWMSs can reduce both total waste clean-up cost and duration, with the capacities of the sites significantly impacting the clean-up time and duration.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2022)
Article
Engineering, Industrial
Adalberto Sato Michels, Alysson M. Costa
Summary: In situations of high demand disruption and ongoing labor costs, strategies such as dismissing employees and rebalancing assembly lines or reducing workload with proportional wage deduction are commonly adopted. A Mixed-Integer Linear Programming (MILP) model is proposed to address this issue, aiming at preserving jobs while minimizing labor costs. Computational tests show that this strategy can distribute social costs among workers effectively with minimal impact on cumulative labor hours.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Operations Research & Management Science
Pedro B. Castellucci, Franklina M. B. Toledo, Alysson M. Costa
OPERATIONS RESEARCH PERSPECTIVES
(2019)
Article
Computer Science, Interdisciplinary Applications
Mayron Cesar O. Moreira, Rafael Pastor, Alysson M. Costa, Cristobal Miralles
COMPUTERS & OPERATIONS RESEARCH
(2017)
Article
Engineering, Industrial
Hiroshi Matsuhisa, Nobuo Matsubayashi
Summary: This study investigates the formation of an alliance between competing manufacturers and a monopolistic platform retailer, and analyzes the impact of the degree of differentiation among manufacturers on the formation of the alliance and the profitability of the retailer.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Lingxuan Kong, Ge Zheng, Alexandra Brintrup
Summary: Supply Chain Financing is used to optimize cash flows in supply networks, but recent scandals have shown inefficiencies in risk evaluation. This paper proposes a Federated Learning framework to address order-level risk evaluation.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Jing Gu, Xinyu Shi, Junyao Wang, Xun Xu
Summary: The asymmetric market power between a firm and its partners negatively affects the firm's financial performance. Building relationships with suppliers or customers that have matched market power is the best approach. The strength of the buyer-supplier relationship amplifies the negative impact of asymmetric market power, while the level of relationship embeddedness reduces its negative effect. Moreover, firm-specific institutional, industry, and regional economic heterogeneities also influence the financial impact of asymmetric market power.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Yu Du, Jun-qing Li
Summary: This study investigates the group scheduling of a distributed flexible job shop problem using the concrete precast process. The proposed solution utilizes three coordinated double deep Q-networks (DQN) as a learn-to-improve reinforcement learning approach. The algorithm shows superiority in minimizing costs and energy consumption.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Xiaoyu Yan, Weihua Liu, Ou Tang, Jiahe Hou
Summary: This study analyzes the market amplification effect and the impact of entrant's overconfidence on a two-sided platform. The results show that overconfident entrants can lead to price increases and benefit both the existing firms and themselves to a certain extent.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Illya Kaynov, Marijn van Knippenberg, Vlado Menkovski, Albert van Breemen, Willem van Jaarsveld
Summary: The One-Warehouse Multi-Retailer (OWMR) system is a typical distribution and inventory system. Previous research has focused on heuristic reordering and allocation strategies, which are time-consuming and problem-specific. This paper proposes a Deep Reinforcement Learning (DRL) algorithm for OWMR problems, which infers a multi-discrete action distribution and improves performance with a random rationing policy.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Yimeng Sun, Ruozhen Qiu, Minghe Sun
Summary: This study considers a multi-period inventory management problem for a retailer offering limited-time discounts and having a joint service-level requirement under demand uncertainty. It proposes a double-layer iterative approach to solve the problem and maximize total profit while balancing the service level using a posteriori method and an affinely adjustable robust chance-constrained model.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Anas Neumann, Adnene Hajji, Monia Rekik, Robert Pellerin
Summary: This paper presents a new mathematical formulation for planning and scheduling activities of Engineer-To-Order (ETO) projects, along with a new ETO strategy to reduce the impacts of design uncertainty. The study proposes a hybrid Layered Genetic Algorithm combined with an adaptive Lamarckian learning process (LLGA) and compares it with the branch-and-cut procedure of CPLEX. The results show good performance of the proposed mathematical model for small and medium-sized instances.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Thilini Ranasinghe, Chanaka D. Senanayake, Eric H. Grosse
Summary: Production systems are undergoing transformative changes, necessitating adaptability from human workers. This study developed an analytical model to account for stochastic processing times and learning heterogeneity, revealing insights into system performance.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Sunil Tiwari, Pankaj Sharma, Ashish Kumar Jha
Summary: Black Swan events such as the COVID-19 pandemic and the Suez Canal blockage have a significant impact on firms' technology adoption decisions, especially in terms of disruptions and digitalization in the supply chains. This study investigates the influence of institutional forces and environmental contingencies on supply chain digitalization from an institutional and contingency theory perspective. The findings emphasize the importance of organizational readiness and people readiness, including top management involvement and employee training, in facilitating digitalization.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Fabio Neves-Moreira, Pedro Amorim
Summary: Omnichannel retailers are using stores as distribution centers to provide faster online order fulfillment services. However, in-store picking operations can impact the offline customer experience. To address this, we propose a Dynamic In-store Picker Routing Problem (diPRP) that minimizes customer encounters while fulfilling online orders. Our solution approach combines mathematical programming and reinforcement learning to find efficient picking policies that reduce customer encounters.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Richard Kraude, Ram Narasimhan
Summary: In this study, the relationship between Vertical Integration (VI) and Environmental Performance (EP) is examined, revealing that highly integrated firms produce less waste but engage in fewer environmental initiatives. These findings are crucial for understanding the impact of stakeholder exposure on organizational behavior.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Review
Engineering, Industrial
Korina Katsaliaki, Sameer Kumar, Vasilis Loulos
Summary: This research conducts a systematic literature review (SLR) and content analysis on Supply Chain Coopetition (SCC) through the PRISMA framework. It examines the theory of coopetition and organizational relationships in intra-firm and inter-firm supply chains, focusing on collaboration between rival manufacturers. The study identifies structures and mechanisms of coopetition, such as buyer-supplier coopetition, supply networks coopetition, and production and distribution/logistics coopetition. It provides a holistic approach to SCC management practices and serves as a guide for future research.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
