Yıl:2022   Cilt: 8   Sayı: 1   Alan: Mühendislik Temel Alanı

  1. Anasayfa
  2. Makale Listesi
  3. ID: 7

Murat BALTA, Esmegül ŞENBAY, Barış KARABUĞA, Ufuk CEBECİ

IQschedule: An Interactive Production Scheduling System Including Recommendations and Animations by Using IOTs for Machining Operations

One of the most important ways to avoid the cost in many industries is to reduce the time taken to complete processes. Delivery time and quality are the most important criteria for customers. Successful production planning and production scheduling can help the process to be completed in a shorter time. Scheduling is an improvement and/or optimization problem that has significant implications for many industrial enterprises in terms of time, labor/equipment usage, and costs. Although experienced planners who know well the system they work on can solve this problem up to a point; it will be more logical to develop a technology that will provide the synchronization of the system, more accurate forecasts, and correct determination of priorities. Thanks to this technology, rapid synchronization of information and the ability to access the information from the desired channel at any time will streamline the process. In order to improve their processes, IQ Vizyon has produced solutions that will enable companies to create more value in a shorter time. IQV MII (Manufacturing Integration Intelligence) is one of these solutions that provide IT (Information Technologies) and OT (Operation Technologies) data with single system management. It tackles the processes of managing and monitoring production instantly at the entire factory level. It receives transiently all production information from robot, CNC or NC machine control panels, PLC, ERP (or MRP), and operators. The developed system compares the production planning processes with the actual data and presents them to the audit by making machine, project, and personnel-based reports. IQV Schedule, one of the modules of IQV MII (Manufacturing Integration Intelligence), is established on a cloud-based system with a big data infrastructure consisting of the machine and personnel data of all workstations in the production area that directly affect production and all data generated in ERP and MRP systems and to be used in the production processes. This big data collection will help to create faster solutions for crisis that may occur in production, reload works, and alter priorities. With the use of this module profitability and the number of productions per unit time increases, processes improve, energy consumption, work accident, service, maintenance, and personnel costs are reduced, and lastly production, deadline, and time compliance increase. This system needs users to enter and update customer importance values. Then the priority must be entered such options as FIFO, priority of the first deadline or priority of the shortest total processing (throughput) time in manufacturing. Adequate data generation will contribute to the software to make recommendations. Furthermore, users need to enter tolerance type. The maximum number of days allowed for dispatch delay and/or minimum machine utility values (%) will also be received from the user. If the results are not satisfactory, the user will be able to make the necessary changes. Data from scheduling and actual manufacture will be used for further analysis and better operations of the software. The algorithm will continue to be developed after real industrial applications. In this way, manual calculation and planning will not be required and instant monitoring will be possible. Some originalities of IQV Schedule are being able to use real-time data, working interactively, developed especially for machining and assembly operations, and a recommendation system. With the integration of MRP and ERP of IQV Schedule software, (using product tree information, inventory information, and standard production time information, in the direction of data from MRP/ERP consisted of work orders required to fulfill orders, and production orders), it will be possible to determine the order in which the works should be done by which sources, taking into account the delivery times/priority. Consequently, the developed approach will take the burden away from the employee and increase the profitability of the company.

Anahtar Kelimeler: Production Scheduling, MII, Recommendation Systems, Industry 4.0


IQschedule: An Interactive Production Scheduling System Including Recommendations and Animations by Using IOTs for Machining Operations

One of the most important ways to avoid the cost in many industries is to reduce the time taken to complete processes. Delivery time and quality are the most important criteria for customers. Successful production planning and production scheduling can help the process to be completed in a shorter time. Scheduling is an improvement and/or optimization problem that has significant implications for many industrial enterprises in terms of time, labor/equipment usage, and costs. Although experienced planners who know well the system they work on can solve this problem up to a point; it will be more logical to develop a technology that will provide the synchronization of the system, more accurate forecasts, and correct determination of priorities. Thanks to this technology, rapid synchronization of information and the ability to access the information from the desired channel at any time will streamline the process. In order to improve their processes, IQ Vizyon has produced solutions that will enable companies to create more value in a shorter time. IQV MII (Manufacturing Integration Intelligence) is one of these solutions that provide IT (Information Technologies) and OT (Operation Technologies) data with single system management. It tackles the processes of managing and monitoring production instantly at the entire factory level. It receives transiently all production information from robot, CNC or NC machine control panels, PLC, ERP (or MRP), and operators. The developed system compares the production planning processes with the actual data and presents them to the audit by making machine, project, and personnel-based reports. IQV Schedule, one of the modules of IQV MII (Manufacturing Integration Intelligence), is established on a cloud-based system with a big data infrastructure consisting of the machine and personnel data of all workstations in the production area that directly affect production and all data generated in ERP and MRP systems and to be used in the production processes. This big data collection will help to create faster solutions for crisis that may occur in production, reload works, and alter priorities. With the use of this module profitability and the number of productions per unit time increases, processes improve, energy consumption, work accident, service, maintenance, and personnel costs are reduced, and lastly production, deadline, and time compliance increase. This system needs users to enter and update customer importance values. Then the priority must be entered such options as FIFO, priority of the first deadline or priority of the shortest total processing (throughput) time in manufacturing. Adequate data generation will contribute to the software to make recommendations. Furthermore, users need to enter tolerance type. The maximum number of days allowed for dispatch delay and/or minimum machine utility values (%) will also be received from the user. If the results are not satisfactory, the user will be able to make the necessary changes. Data from scheduling and actual manufacture will be used for further analysis and better operations of the software. The algorithm will continue to be developed after real industrial applications. In this way, manual calculation and planning will not be required and instant monitoring will be possible. Some originalities of IQV Schedule are being able to use real-time data, working interactively, developed especially for machining and assembly operations, and a recommendation system. With the integration of MRP and ERP of IQV Schedule software, (using product tree information, inventory information, and standard production time information, in the direction of data from MRP/ERP consisted of work orders required to fulfill orders, and production orders), it will be possible to determine the order in which the works should be done by which sources, taking into account the delivery times/priority. Consequently, the developed approach will take the burden away from the employee and increase the profitability of the company.

Keywords: Production Scheduling, MII, Recommendation Systems, Industry 4.0


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