| The rapid development of economy not only brings good news to people's quality of life,but also exposes a series of problems such as waste of resources and environmental pollution.Under this background,it is of great practical and scientific significance to study more sustainable production scheduling schemes for alleviating the above problems.However,as far as production scheduling of manufacturing enterprises is concerned,customer service time is not included in the formulation of production scheduling schemes in the formulation of production scheduling schemes at the time of formulating production scheduling schemes.It is easy to cause the increase of inventory cost,waste of delivery cost and customer response caused by the problems of product retention,unreasonable delivery routes and untimely customer response after processing with minimum completion time.Household satisfaction needs to be improved.With the rapid development of Internet,Internet of Things,Mobile Payment and other technologies,the space distance between customers and manufacturing enterprises has been shortened.The problems of cost caused by poor coordination between manufacturing enterprises and customers will become more prominent.Based on this analysis,this paper takes production scheduling of manufacturing enterprises as the research object,aiming at improving the overall coordination between customers and enterprises as the optimization goal.The research and application of collaborative optimization of production scheduling considering customers' demand for product delivery time are discussed.Based on this topic,the research work in this paper is as follows:Firstly,from the perspective of enhancing the overall interests of enterprises and customers,this paper makes a general study on the collaborative optimization of production scheduling considering customers' demand for product delivery time.The cost increase of every link from raw material to cost will be transferred to the purchase price of customers and the production cost of enterprises.Therefore,based on the fact that production and manufacturing enterprises have established production scheduling,this paper puts forward an overall research scheme to maximize the overall interests of enterprises and customers,aiming at solving the problems existing in the current production scheduling process.Secondly,the collaborative optimization model of production scheduling considering customers' demand for product delivery time is studied.Considering the customer's demand for delivery time,the shortest path of products from factory to customer's location,the factors of delivery time,the faults of production line equipment,the carbon emissions and energy consumption factors from product processing to customer's location,a double-layer production is constructed,which takes the delivery time and route optimized by VRP theory as input and the production scheduling scheme optimized by MPS theory as output.Thirdly,the algorithm for solving the bi-level optimization model of production scheduling coordination is studied.The structural characteristics of the bi-level optimization model and the algorithm suitable for solving the model are analyzed to meet the demand of customers for delivery time and the requirements of enterprises for minimizing production costs.A genetic algorithm-based bi-level collaborative scheduling optimization model solution method is designed.Fourthly,taking Company A as an example,the above research results are preliminarily verified.The above model and algorithm are used to solve the production scheduling cooperative optimization scheme of A company.The practicability and superiority of the method proposed in this paper are verified by an enterprise case.At the same time,it provides theoretical support for A company to formulate production scheduling scheme. |
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