Intergrated optimization control method for mixed-batch assembling line

Abstract

The integrated optimization method is for controlling production planning, dispatching and emulation on mixing batch assembly line (i.e. assembling multiple products on a assembly line at same time). The method includes procedures: smoothing customers' requirements on products; based on smoothed requirements on products, mixing integrated planning model of mixing batch assembly line is solved by using a branch delimit algorithm; obtaining best production planning, i.e. categories and quantities of products as well as dispatch or assembling sequence; observing best dispatching procedure for mixing batch assembly line by animated emulating the dispatch; determining whether customers' requirements on products are satisfied; if yes, formal plans and dispatch is ready to be excuted; based on formal plans and dispatch, arranging and controlling parts to be assembled on assembly line; based on moving speed determined by using animated emulation, controlling operation of assembly line.

Description

technical field [0001] The invention relates to an integrated optimization control method for production planning, scheduling and simulation of a mixed-batch assembly line (that is, multiple products can be assembled on one assembly line at the same time), and can arrange production and control the operation of the mixed-batch assembly line accordingly. The invention belongs to the technical field of production line optimization control methods. Background technique [0002] The vast majority of existing literature on production planning, scheduling and optimization of mixed-batch assembly lines only involves production scheduling [1-8] , rarely involving production planning [9] . In actual production, the production plan is often optimized first, and then the production scheduling is optimized on the basis of the optimized plan. As a result, the planning and scheduling cannot achieve overall optimization, and even the production plan leads to s...

AI Technical Summary

Problems solved by technology

Then, on the basis of considering the details of the assembly line, an integrated optimization model for production planning and scheduling of the mixed-batch assembly line is established, and three simulation methods, including the embedded tabu search simulation method, the alternate tabu search simulation method, and the serial tabu search simulation method, are proposed. Different methods are used to solve the integrated optimization problem of production planning, scheduling and simulation of mixed-batch assembly line with rough production plan as the initial solution, and the computational complexity of these three methods is given

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