In this paper,a support method for business planning and management using software is proposed in order to increase productivity in small and medium-sized industries.Our targets are job shop type production factories,...In this paper,a support method for business planning and management using software is proposed in order to increase productivity in small and medium-sized industries.Our targets are job shop type production factories,which manufacture products that meet specific demands from numerous customers.For these factories to be successful,speedy operational planning and effective management of operations progress for different models in variable quantities are essential.Moreover,effective production and operations management needs to be promoted.Thus,it is necessary to obtain a tool that enables the maximization of throughput using a bird’s-eye view of the entire shop floor and understanding it from the viewpoint of optimization.In our study,planning production and expediting follow-up are conducted using Gantt charts.The system is a simple analog tool that heuristically supports production management through worksite knowledge and experiences without conventional approaches.Furthermore,robotic process automation(RPA)was introduced to reduce the workload of workers.The effectiveness of this prototype system was confirmed by a review of different people in charge.展开更多
This study proposes a novel approach to optimizing individual work schedules for book digitization using mixed-integer programming (MIP). By leveraging the power of MIP solvers, we aimed to minimize the overall digiti...This study proposes a novel approach to optimizing individual work schedules for book digitization using mixed-integer programming (MIP). By leveraging the power of MIP solvers, we aimed to minimize the overall digitization time while considering various constraints and process dependencies. The book digitization process involves three key steps: cutting, scanning, and binding. Each step has specific requirements and limitations such as the number of pages that can be processed simultaneously and potential bottlenecks. To address these complexities, we formulate the problem as a one-machine job shop scheduling problem with additional constraints to capture the unique characteristics of book digitization. We conducted a series of experiments to evaluate the performance of our proposed approach. By comparing the optimized schedules with the baseline approach, we demonstrated significant reductions in the overall processing time. In addition, we analyzed the impact of different weighting schemes on the optimization results, highlighting the importance of identifying and prioritizing critical processes. Our findings suggest that MIP-based optimization can be a valuable tool for improving the efficiency of individual work schedules, even in seemingly simple tasks, such as book digitization. By carefully considering specific constraints and objectives, we can save time and leverage resources by carefully considering specific constraints and objectives.展开更多
文摘In this paper,a support method for business planning and management using software is proposed in order to increase productivity in small and medium-sized industries.Our targets are job shop type production factories,which manufacture products that meet specific demands from numerous customers.For these factories to be successful,speedy operational planning and effective management of operations progress for different models in variable quantities are essential.Moreover,effective production and operations management needs to be promoted.Thus,it is necessary to obtain a tool that enables the maximization of throughput using a bird’s-eye view of the entire shop floor and understanding it from the viewpoint of optimization.In our study,planning production and expediting follow-up are conducted using Gantt charts.The system is a simple analog tool that heuristically supports production management through worksite knowledge and experiences without conventional approaches.Furthermore,robotic process automation(RPA)was introduced to reduce the workload of workers.The effectiveness of this prototype system was confirmed by a review of different people in charge.
文摘This study proposes a novel approach to optimizing individual work schedules for book digitization using mixed-integer programming (MIP). By leveraging the power of MIP solvers, we aimed to minimize the overall digitization time while considering various constraints and process dependencies. The book digitization process involves three key steps: cutting, scanning, and binding. Each step has specific requirements and limitations such as the number of pages that can be processed simultaneously and potential bottlenecks. To address these complexities, we formulate the problem as a one-machine job shop scheduling problem with additional constraints to capture the unique characteristics of book digitization. We conducted a series of experiments to evaluate the performance of our proposed approach. By comparing the optimized schedules with the baseline approach, we demonstrated significant reductions in the overall processing time. In addition, we analyzed the impact of different weighting schemes on the optimization results, highlighting the importance of identifying and prioritizing critical processes. Our findings suggest that MIP-based optimization can be a valuable tool for improving the efficiency of individual work schedules, even in seemingly simple tasks, such as book digitization. By carefully considering specific constraints and objectives, we can save time and leverage resources by carefully considering specific constraints and objectives.
