An energy efficiency optimization scheduling method for replacement flow workshop with integrated delivery time configuration

Abstract

The invention discloses an energy-efficiency optimization scheduling method for a replacement assembly line with integrated delivery date configuration, which collects production data to generate three frameworks for energy efficiency optimization and delivery date configuration; the two frameworks perform integrated coding between workpieces and machines; In the three frameworks, the coding of rejecting orders is spliced ​​after the coding of receiving orders; according to the coding method, the NEH heuristic algorithm is used to generate the initial solution, and the tabu table is initialized; the initial solution generated after that is tabu searched, and the local optimal solution and the taboo table are updated ; Decode the obtained optimal solution to obtain the scheduling plan; generate the initial population according to the encoding method; calculate the target fitness value for the generated population and assign the fitness value; perform selection, crossover and mutation operations on the generated population, and update The local optimal solution is decoded, integrated and the scheduling scheme is obtained. The invention obtains a scheduling plan satisfying the enterprise and the customer within a reasonable time, reduces energy consumption, improves enterprise profit and improves production efficiency.

Description

technical field [0001] The invention belongs to the technical field of replacement flow workshop scheduling, and in particular relates to an energy efficiency optimization scheduling method for replacement flow workshops with integrated delivery time configuration. Background technique [0002] With the globalization of green manufacturing, energy conservation and environmental protection in the manufacturing industry have significant economic and social benefits. Manufacturing enterprises are facing the dual challenges of increasing energy costs and their own energy conservation and emission reduction. Among the manufacturing enterprises with the trend of green production, they are gradually paying more attention to higher product profits, lower energy consumption and shorter delivery time. Time is invested more attention, and flow shop energy saving measures are crucial to maximize machine processing efficiency and minimize production costs. Production scheduling is also ...

AI Technical Summary

Problems solved by technology

However, for the replacement flow shop scheduling problem integrating energy efficiency optimization and lead time configuration framework, the existing optimization methods usually optimize energy efficiency under a given lead time, or optimize lead time without considering energy efficiency, and It does not consider the optimization of delivery time and energy efficiency at the same time, and does not analyze the relationship characteristics between the total income of the enterprise in the production link and the enterprise credit in the sales link, which has great limitations.

More importantly, the market competition is becoming increasingly fierce, and the scale of each manufacturing enterprise is uneven. The existing scheduling method does not systematically analyze the complete green flow workshop, resulting in increased energy consumption, increased energy costs, decreased production efficiency, The obtained scheduling plan is difficult to meet the expectations of the manufacturer and customers, and the probability of violating the delivery agreement between the manufacturer and customers increases, which in turn leads to problems such as decline in corporate income and reputation

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