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The job shop scheduling problem with deteriorating time has been a widely studied topic in the field of operations research. This problem involves scheduling jobs with varying processing times on machines with different capabilities, while taking into account the deterioration of processing times over time. One possible approach to solving this problem is through the use of Matlab programming and self-testing, which can be effective in optimizing the scheduling process. Additionally, further research could explore the use of machine learning algorithms to improve the accuracy of scheduling and reduce the impact of deteriorating time.