Production Planning Simulation Of Pipe Processing Shop In Shipyard

At Present, The Ship construction technology, on the basis of deepening production design, change the state the center of which is hull with outfitting and painting surrounding into the Integrated building method for Hull/ Outfitting/ Painting which is based on the hull, centered on outfitting and painting. Among it the Manufacturing and installation of piping has the maximum workload (about 23%-30% of the workload of the whole ship), the longest cycle and the widest range. As a result, because of the Piping manufacturing problems are bottlenecks in the logistics network of the shipbuilding production. This paper analyzes and solves the problem from the following aspects:Firstly, In this paper the core is pipe processing production planning management, multivariate linear regression mathematical models on piping standard working hours are proposed. By a reasonable piping processing plan, the costs are reduced and the construction periods are shorten.Secondly,In this paper the French Dassault company's digital manufacturing software (DPM) is used to simulate the processing details of piping assembly. The results validate the assembly and manufacturing of products. This paper describes the simulation mechanisms and methods of DPM, combining with Dassault's digital process planning software (DPE), proposes using DPM to simulate the piping process assembly.Thirdly, According to requirements of production logistics simulation for piping flow shop, an object-oriented Petri net modeling technology is applied. On this basis an object-oriented Petri net description about piping flow shop plant is achieved, and corresponding with the Quest model. The logistics modeling methods of piping flow shop based on Quest is also researched.Lastly,Workshop logistics optimization problem is an NP-Hard problem. This paper use the genetic algorithm to schedule the pipe order. The optimal processing sequence of the piping is achieved, combining with the Quest plant model, can verify the sequence obtained by this algorithm which is indeed able to minimize the maximum piping production time and improve production efficiency.