 This paper proposes a production scheduling method for knitting workshops using an improved genetic algorithm, IGA. The IGA uses three rules, minimum processing time rule, priority idle machine rule, and production order ranking code to optimize the solution. This method was tested on an experimental platform and found to be more efficient than traditional GAs. It reduced redundancies, met production requirements, and had a good reference value for promoting the intelligent development of knitting production.