Article
Engineering, Manufacturing
Arnd Huchzermeier, Tobias Moench
Summary: Industry trends such as product customization, radical innovation, and local production are driving the adoption of mixed-model assembly lines (MMALs) to handle the increasing gap between model processing times and true build to order capability. The existing deviations in work content on these assembly lines pose challenges for production planning, particularly in assembly line sequencing. This study proposes an ideal variable rate launching (VRL) case that achieves 100% productivity by minimizing idle time and utility work, and demonstrates the benefits of open stations and variable takt in reducing labor costs and total line length.
PRODUCTION AND OPERATIONS MANAGEMENT
(2023)
Article
Engineering, Industrial
Ge Guo, Sarah M. Ryan
Summary: This paper tackles the uncertainty factors in sequencing decisions in mixed-model assembly lines by modeling unreliable part delivery and quality. It utilizes stochastic optimization to find sequencing policies that can improve on-time performance, and also introduces a risk-averse program to protect against worst-case scenarios chosen by decision makers. Computational studies demonstrate the high quality of resulting sequencing decisions and the time efficiency of the solution method using Progressive Hedging.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Engineering, Electrical & Electronic
Qidong Yin, Xiaochuan Luo, Julien Hohenstein
Summary: The automotive industry is facing challenges of integrating new energy vehicles into existing assembly systems. The BMW assembly shop implemented a practical approach using specific workforce for NEV assembly, studying the design of assembly system under this new production pattern to minimize production costs and enhance system flexibility. Developed algorithm showed effectiveness in quickly generating reconfiguration solutions for various model mix scenarios and production rates.
Article
Engineering, Industrial
Thiago Cantos Lopes, Adalberto Sato Michels, Nadia Brauner, Leandro Magatao
Summary: This paper focuses on optimizing Mixed-model assembly lines with continuous paced line control and proposes a criterion-space method for defining the Pareto front. Comparing the Pareto fronts between cycle time and line length for paced and unpaced lines allows meaningful comparisons between line controls. An industrial case study suggests that paced lines are more efficient than unpaced lines for lower cycle time ranges.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Stefan Bock, Nils Boysen
Summary: This study focuses on real-time launch control in mixed-model assembly lines, proposing an integrated solution and demonstrating its superiority over alternative launching approaches in a simulation study. The integrated approach not only improves production efficiency but also reduces safety stocks of parts within workstations.
COMPUTERS & OPERATIONS RESEARCH
(2021)
Article
Engineering, Industrial
Serena Finco, Martina Calzavara, Fabio Sgarbossa, Ilenia Zennaro
Summary: This paper proposes a new methodological approach to include physical fatigue and rest allowance as ergonomic parameters in mixed-model assembly lines, aiming to improve productivity and human safety. By developing a linear mathematical model and heuristic approach, it effectively addresses the balancing and sequencing decision problems in assembly lines.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Engineering, Industrial
Adele Louis, Gulgun Alpan, Bernard Penz, Alain Benichou
Summary: In the automotive industry, sequencing cars on assembly lines is a major challenge in production scheduling. Two specific models, Mixed-Model Sequencing (MMS) and Car Sequencing (CS), have gained significant attention. Comparison between the two models shows that MMS generates more feasible sequences than CS. However, real-life production schedulers using specific sequencing rules may result in a higher number of distinct feasible sequences for CS.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Review
Engineering, Manufacturing
Maximilian Johannes Schlueter, Frederik Ferid Ostermeier
Summary: Dynamic line balancing is a promising approach to achieve both equal loads for operators and high throughput for manufacturers. Tasks can be shared between adjacent stations in addition to the fixed allocated tasks.
CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY
(2022)
Article
Engineering, Industrial
Thorben Krueger, Achim Koberstein, Norbert Bittner
Summary: This paper proposes a new linear programming-based approach for the master production scheduling of mixed-model assembly lines, which considers technical car sequencing rules in a higher level of detail. The interdependencies of car sequencing rules, often neglected in practice and research, are investigated and found to induce additional implicit constraints. A numerical study shows that the proposed approach significantly reduces sequencing violations compared to existing methods.
FLEXIBLE SERVICES AND MANUFACTURING JOURNAL
(2022)
Article
Engineering, Industrial
Yunfang Peng, Lijun Zhang, Beixin Xia, Yajuan Han
Summary: In this study, the balancing and sequencing problems of flexible mixed model assembly lines with alternative precedence relations are addressed. Instead of using precedence graphs, If-then rules and AND/OR graphs are chosen as modeling tools due to their ability to represent alternative precedence relations. Mixed integer linear programming (MILP) and constraint programming (CP) models are developed, and an iterative decomposition method is proposed for dealing with large-sized problems. The computational experiments show that CP outperforms MILP, especially when there are more OR relations. Additionally, the iterative decomposition method achieves better solution quality and time efficiency than MILP and CP.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Computer Science, Artificial Intelligence
Beikun Zhang, Liyun Xu, Jian Zhang
Summary: This paper focuses on the mixed-model U-shaped robotic assembly line balancing and sequencing problem, proposing a hybrid multi-objective dragonfly algorithm to address energy consumption and efficient production. The results suggest that the proposed HMODA is more efficient than compared algorithms in solving the problem.
APPLIED SOFT COMPUTING
(2021)
Article
Engineering, Multidisciplinary
F. Tanhaie, M. Rabbani, N. Manavizadeh
Summary: This study investigates the use of mixed-model assembly line (MMAL) technology to address make-to-order (MTO) challenges, achieving superior performance through a multi-objective particle swarm optimization (MOPSO) algorithm.
ENGINEERING OPTIMIZATION
(2021)
Article
Management
S. Ehsan Hashemi-Petroodi, Simon Thevenin, Sergey Kovalev, Alexandre Dolgui
Summary: This study investigates the impact of model-dependent task assignment, workforce reconfiguration, and equipment duplication on mixed-model assembly lines. The results show that model-dependent task assignment can significantly reduce equipment costs and the number of workers.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2022)
Article
Computer Science, Interdisciplinary Applications
Zhaofang Mao, Jiaxin Zhang, Kan Fang, Dian Huang, Yiting Sun
Summary: In this study, a U-type assembly line balancing problem with human-robot collaboration (UALBP-HRC) is considered, where a collaborative robot (cobot) can process different tasks in parallel or collaboratively process the same task with workers. A mixed-integer programming (MIP) model is formulated to minimize the cycle time, and an enhanced MIP (EMIP) model with enhancement strategies is proposed. Experimental results show that EMIP outperforms MIP, and a simulated annealing algorithm with enhanced search procedure (ESA) effectively solves the problem.
COMPUTERS & OPERATIONS RESEARCH
(2023)
Article
Engineering, Industrial
Frederik Ferid Ostermeier
Summary: This study examines the impact of multi-objective scheduling decisions on mixed-model assembly lines, considering the interests of customers, suppliers, and manufacturers. Through a simulation study, it analyzes the influence of different sequence types on various objectives, while explicitly modeling human learning and deterioration effects. The results demonstrate the trade-offs exist, and the preferred sequence type varies depending on operational conditions.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Computer Science, Artificial Intelligence
Ying Zhang, Lihua Wang, Jie Gao
JOURNAL OF INTELLIGENT MANUFACTURING
(2017)
Article
Computer Science, Interdisciplinary Applications
Caijun Yang, Jie Gao
COMPUTERS & OPERATIONS RESEARCH
(2016)
Article
Computer Science, Interdisciplinary Applications
Xiaohong Li, Linyan Sun, Jie Gao
COMPUTERS & INDUSTRIAL ENGINEERING
(2013)
Article
Computer Science, Interdisciplinary Applications
Caijun Yang, Jie Gao, Linyan Sun
COMPUTERS & INDUSTRIAL ENGINEERING
(2013)
Article
Computer Science, Interdisciplinary Applications
Bin Cao, Jie Gao
COMPUTERS & INDUSTRIAL ENGINEERING
(2018)
Article
Engineering, Industrial
Caijun Yang, Jie Gao, Jinlin Li
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2014)
Article
Engineering, Industrial
Jinlin Li, Jie Gao
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2014)
Article
Computer Science, Interdisciplinary Applications
Jie Gao, Huirong Fan, Bin Cao, Nengmin Wang
COMPUTERS & INDUSTRIAL ENGINEERING
(2020)
Article
Economics
Baozhuang Niu, Zihao Mu, Bin Cao, Jie Gao
Summary: Utilizing blockchain for quality verification on cross-border e-commerce platforms can increase trust and guarantee product quality, but may reduce retail profit and tax-planning benefits for multinational firms (MNFs).
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2021)
Article
Engineering, Industrial
Yanping Wang, Jie Gao, Zelong Wei
Summary: This study empirically examines the impact of servitization on radical product innovation performance using survey data from Chinese manufacturing firms. The findings indicate that servitization enables manufacturers to identify valuable customer needs, but a high level of servitization can also hinder the seizing of radical innovation opportunities due to overembeddedness in customer relationships. The research contributes to the literature on servitization by identifying and integrating the dual roles of servitization in radical product innovation performance.
Article
Computer Science, Interdisciplinary Applications
Qi Zhang, Jie Gao
Summary: The study shows that the transferability of extended warranties is related to the manufacturer's optimal pricing decisions, with manufacturers more likely to offer transferable extended warranties when costs are low and non-transferable ones when costs are high. Additionally, manufacturers can use optional extended warranties to segment the market.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Mathematics
Zhiyuan Yuan, Jie Gao
Summary: The study focuses on pharmaceutical logistics research, especially on the dynamic uncertainty of pharmaceutical logistics multi-center location path optimization. By utilizing a hybrid algorithm combining fuzzy C-means, sequential quadratic programming, and variable neighborhood search, the accuracy of the optimization model for a multi-center location- and route-optimization solution for a medicine logistics company under dynamic uncertainty has been significantly improved. The hybrid algorithm shows higher accuracy compared to rival algorithms in solving the multi-center location path optimization problem in pharmaceutical logistics.
Article
Engineering, Industrial
Xiaoxiao Li, Jie Gao, Yiwen Bian
Summary: In online purchases, customers may hesitate due to quality uncertainty and return freight fees. To address this problem, online retailers can purchase return freight insurance (RFI) service from insurance companies. The RFI service not only reduces return freight for customers but also acts as an imperfect quality signal to alleviate quality uncertainty. We study the RFI strategies of insurance companies and retailers and find that signal efficiency and return freight fees drive their decisions. Insurance companies charge a small RFI premium for retailers selling high-quality products, while for retailers selling low-quality products, the RFI premium becomes larger with medium return freight fees or low signal efficiency. Our results provide new insights into the prevalence of RFI service for retailers of different product quality and shed light on the RFI premium strategy for insurance companies.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2023)
Article
Computer Science, Information Systems
Linhui Sun, Xun Li, Jie Gao, Fangming Cheng
Summary: This study analyzes the mechanism of the information presentation framework on users' compliance willingness through behavioral experiments and questionnaires. The results show that the information presentation framework significantly influences users' decision to comply, but it varies by specific frameworks. The security notice situation and information security cognition also moderate the relationship between the presentation framework and users' compliance willingness, with differences depending on specific frameworks.
Article
Business
Ying Zhang, Longwei Wang, Jie Gao, Xin Li
JOURNAL OF BUSINESS & INDUSTRIAL MARKETING
(2019)