| Summary: | 碩士 === 國立成功大學 === 製造資訊與系統研究所 === 107 === In smart manufacturing, all production units, such as equipment and plant areas, can make quick and correct decisions for the situations encountered to complete the task. Scheduling is one of the important activities of production. Its task is to carry out the best job assignment, manufacturing resource allocation and work order arrangement for existing resources. Since traditional production schedules have been unable to meet the rapid response of smart manufacturing and the autonomy and synergy of processing and manufacturing units at all levels, it is imperative to develop a scheduling method suitable for smart manufacturing. The preservation, sharing, correctness and safety of production data are of paramount importance in the smart manufacturing environment, and they are also issues to be solved in practice.
In view of the requirements for scheduling methods for smart production and the safety of production data, this study analyzes the mode of smart manufacturing and reference blockchain technology, and proposes a collaborative scheduling model based on blockchain for smart manufacturing, through the smart machine to communicate and coordinate with each other to plan the schedule. This model includes collaborative scheduling, collaborative scheduling rule mining, and smart contracts.
Using the decision tree to mine historical scheduling data, find operation competition rules and operation sequencing rules, the machine can coordinate, make decisions, and plan scheduling through these two rules, and write the two rules into the smart contract, the deploy blockchain to ensure the safety of the rules.
This study proves that the proposed collaborative scheduling method can produce a reasonable scheduling, and can continuously accumulate scheduling rules to achieve cumulative experience and optimize scheduling.
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