To produce the final product, parts need to be fabricated in the process stages and thereafter several parts are joined under the assembly operations based on the predefined bill of materials. But assembly relationship between the assembly parts and components has not been considered in general job shop scheduling problem model. The aim of this research is to find the schedule which minimizes completion time of Assembly Job Shop Scheduling Problem (AJSSP). Since the complexity of AJSSP is NP-hard, a hybrid particle swarm optimization (HPSO) algorithm integrated PSO with Artificial Immune is proposed and developed to solve AJSSP. The selection strategy based on antibody density makes the particles of HPSO maintain the diversity during the iterative process, thus overcoming the defect of premature convergence. Then HPSO algorithm is applied into a case study development from classical FT06. Finally, the effect of key parameters on the proposed algorithm is analyzed and discussed regarding how to select the parameters. The experiment result confirmed its practice and effectiveness.

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In this paper, we develop an automated spray paint machine which can load up and down the material automatically and complete the six sides painting spraying once. The painting machine principally consists of wood paint processing conveyor belts, board painting workbenches, frame racks, driven components and spindle components and so on. The painting machine uses the special chain conveyor lifts to achieve automatic loading and unloading of board; Then make full use of 90-degree horizontal rotations of those four station at the board painting workbench and 180-degree flips of every station to achieve a six-sided painting at a time; And use the combination between two PLCs and the inverter to achieve multi-axis motor control. What's more, it can realize unmanned automatic machining process operation, have a high degree of automation, an advanced and brief craft process and an improved production efficiency, increase utilization of paint and save production costs.