Multi-Objective Optimization of Workshop Scheduling with Multiprocess Route Considering Logistics Intensity

Sun, Yangyang; Gong, Qingshan; Hu, Mingmao; Yang, Ning

doi:10.3390/pr8070838

Cited by 5 publications

(4 citation statements)

References 27 publications

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“…Hakeem-Ur-Rehman et al [33] studied multilevel and multistage batch and scheduling demand information updating problems with the objective of minimizing the total production and inventory costs and established a mixed integer programming (MIP) model. To solve the problem of flexible process routes and frequent changes in workshop scheduling schemes in multiple varieties and small batch production modes, Sun et al [34] established a multi-process route scheduling optimization model with carbon emissions and cost as multiple objectives.…”

Section: Literature Reviewmentioning

confidence: 99%

Multiobjective Lot Sizing and Scheduling of Multiproduct Switching Production in the Process Industry Considering Uncertain Market Information Under Mass Customization

Tang

Wang

2022

IEEE Access

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With the gradual diversification of customer demand, to improve the rapid response ability of enterprises, this paper fully considers uncertain market information under the background of mass customization and establishes a new process industry multi-product switching production lot sizing and scheduling model with the goal of minimizing the maximum completion time and total switching cost. Fuzzy chance-constrained programming is used to explicitly incorporate market demand with uncertain quantities into the model. Starting from reality, this paper considers the switching cost of equipment when processing multiple varieties of products and skillfully integrates the conversion rate of materials during processing into the novel model, making the entire production system closer to the real state. It provides a new concept to consider cost reduction for actual workshop scheduling management. In addition, this paper proposes an improved multi-objective genetic particle swarm optimization (SMOPSO-IIs) algorithm to simulate and solve the model. The operation results show that the Pareto solution obtained by the SMOPSO-IIs algorithm is better overall. Finally, the model is solved by example simulation, and the operation results are analyzed along with a scheduling Gantt chart to verify its applicability and effectiveness. The model presented in this paper can be used to further shorten the gap between production theory and practical application and improve the current workshop scheduling management system of the process industry.INDEX TERMS Mass customization, process industry lot sizing and scheduling; uncertain market information; product switching

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Section: Literature Reviewmentioning

confidence: 99%

Multiobjective Lot Sizing and Scheduling of Multiproduct Switching Production in the Process Industry Considering Uncertain Market Information Under Mass Customization

Tang

Wang

2022

IEEE Access

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“…To solve this problem, they study six variants of the non-dominated sorting genetic algorithm-III (NSGA-III) and from the experimental results, it can be concluded that the NSGAIII-COE has significant advantages in solving the low carbon MO-FJSP. Sun et al [15] establish a multiprocess route scheduling optimization model with carbon emissions and cost as the multiobjective in order to solve the problems of flexible process route and workshop scheduling scheme changes frequently in the multivariety small batch production mode. The optimization results under single-target and multitarget conditions are contrasted and analyzed, to guide enterprises to choose a reasonable scheduling plan, improve the carbon efficiency of the production line, and save costs.…”

Section: Scheduling and Planning Issuesmentioning

confidence: 99%

Special Issue on “Green Technologies for Production Processes”

et al. 2021

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“…In recent years, many scholars conducted research in the direction of production logistics process optimization, production logistics systems, and enabling technology applications. In production logistics process optimization, existing research focused on production logistics process optimization theories (e.g., lean logistics, green logistics), simulation modeling methods (e.g., Petri nets, heuristic algorithms) [17][18][19][20][21][22][23][24][25][26][27]. In terms of production logistics system research, existing studies focused on production equipment layout design, logistics scheduling, and process modeling (e.g., data flow diagram modeling, action diagram modeling) [14,28,29].…”

Section: Introductionmentioning

confidence: 99%

Production Logistics in Industry 3.X: Bibliometric Analysis, Frontier Case Study, and Future Directions

Zhang

et al. 2023

Systems

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At present, the development of the global manufacturing industry is still in the transition stage from Industry 3.0 to Industry 4.0 (i.e., Industry 3.X), and the production logistics system is becoming more and more complex due to the individualization of customer demands and the high frequency of order changes. In order to systematically analyze the research status and dynamic evolution trend of production logistics in the Industry 3.X stage, this paper designed a Log-Likelihood ratio-based latent Dirichlet allocation (LLR-LDA) algorithm based on bibliometrics and knowledge graph technology, taking the literature of China National Knowledge Infrastructure and Web of Science database as the data source. In-depth bibliometric analysis of literature was carried out from research progress, hotspot evolution, and frontier trends. At the same time, taking the case of scientific research projects overcome by our research group as an example, it briefly introduced the synchronized decision-making framework of digital twin-enabled production logistics system. It is expected to broaden the research boundary of production logistics in the Industry 3.X stage, promote the development and progress of the industry, and provide valuable reference for steadily moving towards the Industry 4.0 stage.

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Multi-Objective Optimization of Workshop Scheduling with Multiprocess Route Considering Logistics Intensity

Cited by 5 publications

References 27 publications

Multiobjective Lot Sizing and Scheduling of Multiproduct Switching Production in the Process Industry Considering Uncertain Market Information Under Mass Customization

Multiobjective Lot Sizing and Scheduling of Multiproduct Switching Production in the Process Industry Considering Uncertain Market Information Under Mass Customization

Special Issue on “Green Technologies for Production Processes”

Production Logistics in Industry 3.X: Bibliometric Analysis, Frontier Case Study, and Future Directions

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