Abstract
In order to solve the problems of flexible process route and workshop scheduling scheme changes frequently in the multi-variety small batch production mode, a multiprocess route scheduling optimization model with carbon emissions and cost as the multi-objective was established. At the same time, it is considered to optimize under the existing machine tool conditions in the workshop, then the theory of logistics intensity between equipment is introduced into the model. By designing efficient constraints to ensure reasonable processing logic, and then applying multilayer coding genetic algorithm to solve the case. The optimization results under single-target and multi-target conditions are contrasted and analyzed, so as to guide enterprises to choose a reasonable scheduling plan, improve the carbon efficiency of the production line, and save costs.
Highlights
Small and medium-sized enterprises often design different products in response to the changing needs of customers, so that a variety of small batch production models are formed from the limited production cycle and manufacturing resources
Many scholars have used a variety of methods to solve the optimization problems of energy saving, emission reduction, cost reduction, and time saving for the existing traditional manufacturing system, so that the green upgrade optimization of the system can be achieved without a large amount of investment [1,2,3,4,5,6,7,8,9]
Based on the existing research on such problems, this paper proposes a workshop scheduling optimization model with low carbon and low cost as the multi-objective
Summary
Small and medium-sized enterprises often design different products in response to the changing needs of customers, so that a variety of small batch production models are formed from the limited production cycle and manufacturing resources. Based on the existing research on such problems, this paper proposes a workshop scheduling optimization model with low carbon and low cost as the multi-objective. In the optimization process of the existing research, the emergency task insertion, machine tools failure, and workpiece features are considered [18,19,20,21], but their combination with the actual situation of the equipment in the workshop needs to be supplemented. For this reason, this paper considers the impact of logistics strength between machine tools on optimization to guide the existing equipment, so as to help enterprises achieve the goal of effectively utilizing resources, reducing costs, reducing logistics movement, and improving operational efficiency. Some 0–1 variables are defined to constrain the processing sequence between processes and features, and ensure reasonable optimization and improve calculation efficiency
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
