Optimal Scheduling Method Based On Photovoltaic Cell Detection And Sorting Manufacturing Process

Photovoltaic manufacturing lines are a complex type of manufacturing process,and their special processes make them different from traditional assembly line processes,especially the inspection and sorting processes in the manufacturing process.Therefore,it is particularly important for the PV cell manufacturing industry to effectively achieve optimal scheduling of PV cell inspection and sorting.To date,however,the scheduling of PV cell inspection and sorting manufacturing processes has not been studied in sufficient depth,nor has it taken into account the complexity of the actual PV cell production process,especially its large-scale,hybrid and batch production characteristics.Therefore,it is crucial to improve the efficiency of PV manufacturing by introducing the shop floor scheduling model into the PV cell inspection and sorting shop floor.In this paper,we consider the actual inspection and sorting scheduling characteristics and problems of the PV cell inspection and sorting shop floor,and propose solutions for different scenarios in this shop floor.The main work and innovation points of this paper are as follows:1.For the PV cell inspection and sorting flow shop scenario and its production scheduling characteristics,a mathematical constraint-based method is used for shop scheduling modelling,and a flexible job shop scheduling model with the shortest inspection and sorting man-hours as the goal is constructed.In the solution algorithm,an improved genetic algorithm is proposed to solve the scheduling problem.Finally,standard algorithms and enterprise case simulations are conducted,and the experimental results verify the effectiveness and practicality of the single-objective scheduling model and algorithm,which solves the scheduling arrangement problem of PV enterprises in the flow shop with the goal of fastest completion.2.A multi-objective multi-weight scheduling modelling scheme is used to construct a multi-objective flexible job shop scheduling model with maximum completion time,total delay,total equipment load and total energy consumption of the shop as the optimisation objectives,in order to address the multi-objective optimisation problem faced by the actual PV cell inspection and sorting flow shop.In the solution algorithm,the cutting-edge NSGA-Ⅱ intelligent algorithm is used for solving the problem,and finally standard arithmetic and enterprise case simulation are performed.The experimental results verify the effectiveness and practicality of the multi-objective scheduling model,which to a certain extent solves the problem of scheduling arrangements in PV enterprises that can not only achieve the fastest completion time but also consider multiple optimisation objectives such as low energy consumption and equipment load balancing in the flow shop.3.The multi-objective,multi-constraint scheduling model for the PV cell inspection and sorting shop floor is proposed.The multi-objective modeling is based on the addition of transportation constraints,and a multi-objective flexible shop floor scheduling model with maximum completion time,total delay,total equipment load and total energy consumption as the optimization objectives and transportation constraints is proposed and established.In the solution algorithm,the traditional NSGA-Ⅱ algorithm is improved to improve the defect of falling into local optimum too quickly,and a NSGA-Ⅱ algorithm with learning mechanism is proposed for solving the scheduling problem.Finally,standard calculations and enterprise case simulations are carried out,and the experimental results verify the effectiveness and practicality of this multi-objective scheduling model and algorithm considering transportation constraints,which solves the difficult problem of multi-objective optimal scheduling arrangement in flowing workshops with AGV trolley transportation in photovoltaic enterprises.