Research On The Planning And Scheduling Of Manufacturing Execution System For Aircraft Assembly Tooling

Aircraft assembly tooling is a kind of mechanical product which consisting of many componentsand complicated structure. The production mode of aircraft assembly tooling is single piece and smallbatch production, and its planning and scheduling is very complicated. There are many problems inthe aircraft assembly tooling manufacturing, especially long production cycle and delivery tardiness.Manufacturing Execution System (MES) is an information management system for workshop, whicheffectively improve workshop production management level and timely delivery. So, the purpose ofthis paper is to improve the enforceability and accuracy of the operating planning, and enhance orderdelivery on-time. The planning and scheduling of MES for aircraft assembly tooling is studied depth.In this paper, theories and methods of planning and scheduling are put forward, such as hierarchicalnetwork planning model based on order, bill of material information Integration model based onmatrix, resource constrained multi-project scheduling based on hybrid particle swarm optimizationand dynamic scheduling driven by event and data, and so on. The above theories and methods areapplied to aircraft assembly tooling production management, and achieved good results.Aim at the poor accuracy of planning for the large and complex aircraft assembly tooling, aHierarchical Network Planning Model based on Order Project (HNPOP) is proposed in the secondpart of this paper. HNPOP includes project planning, total assembly network planning, complete setsmaterial requirements planning, parts planning and routing planning, and so on. The complete setsrequirement is satisfied by layer upon layer decomposition method. HNPOP model ensure that orderitem is completely delivered on-time. And, assembly operations partition method based on the workbreakdown unit, classification setting and variable compression ratio of lead time method andplanning and adjustment method are study. Furthermore, an estimated method using of case basedreasoning technology and self-organizing map is used to estimate the processing time. An example ofaircraft assembly tooling order is taken to illustrate the HNPOP model.Frequent engineering change of aircraft assembly tooling manufacturing causes incomplete andinconsistent data of materials, and affects the accuracy of the planning. However, current Bill ofMaterial (BOM) model lack of comprehensive expression of product material information confrontwith the EC environment. To solve this problem, a Bill of Material Information Integration (BOMII)model based on matrix tuple is proposed. BOMII realizes the effective integration ofmultidimensional information of product material based on single model, and it can fully describe thecurrent and change historical information of product material. So, the proposed BOMII model ensuresthe consistency and traceability of product material data in the engineering change environment.BOMII model construction method, the change information expression method using of matrix tuple,and recording method for the change history information using of validity matrix are studied.Connector locator as a case is studied to explain the BOMII model and its application.There inevitability exist multiple projects coexisting in aircraft assembly tooling manufacturingenterprises, and activities or projects usually compete for the exclusive manufacturing resources,which results in resource conflicts. Aim at the problem, a Resource Constrained Multi-ProjectScheduling (RCMPSP) model of aircraft assembly tooling is constructed. Aiming to overcome the shortcomings of existing algorithms, a hybrid optimization algorithm based on Improved ParticleSwarm and Simulated Annealing (IPSOSA) algorithm is proposed to solve RCMPSP of aircraftassembly tooling. In the IPSOSA algorithm, on the one hand, adaptive inertia weight with cyclicalattenuation strategy is employed to balance the global optimization and local optimization of standardPSO. On the other hand, Simulated Annealing (SA) algorithm is employed to overcome the prematureconvergence of standard PSO. The proposed IPSOSA was applied to aircraft assembly toolingmanufacturing. We compare the results of the IPSOSA with that of GA, SA and standard PSOmethods. The simulation results and algorithm comparison show that the IPSOSA is an effectiveapproach for the RCMPSP, and provide optimized scheduling schemes.In the real-time data and integration data environment of MES system, a Dynamic Schedulingmethod based on the Hybrid Driven by Event and Data (DSHDED) is proposed to cope with thedynamic disruption events. DSHDED not only improve system ability of dealing effectively with thedynamic disruption events, but also have capabilities both pre-scheduling and initiative scheduling. Inorder to realize dynamic scheduling driven by event both in project aspect and in job shop aspect,different scheduling rules are proposed. Considering requirement of assembly kitting, a model ofAssembly Job-Shop Scheduling Problem (AJSSP) is proposed, what is more, artificial immuneparticle swarm optimization algorithm is used to solve AJSSP. Integrated with the processingoperation and assembly operation, the optimal solution of AJSSP can provide an effective schedulingscheme to the adjustments or regenerate scheduling. In order to comprehensive monitoring ofabnormal events, a job shop dynamic scheduling diven by data is proposed and realized by a mixedtriggers method. Events that have occurred and future events that may occur are all comprehensivemonitoring, and by using the production data, dynamic scheduling system can timely response toabnormal events and then track and manage them. Especially, trigger even was used to inspect theassembly kitting for the key assembly units or plan net. It realizes that assembly operations performedautomatically driven by data. Furthermore, in order to meet the requirement of information sharing, adouble closed-loop control method is used in manage system of MES. In this way, it realizesorientation publishes of instant message and efficient information sharing and real-time feed-backespecially for the exceptions message of job shop, and also provides an information transfer andsharing platform for dynamic scheduling.On the basis of theoretical research, the research results are applied to planning and schedulingof MES for aircraft assembly tooling, named MES-GZ. Furthermore, MES-GZ is tested and appliedto an aircraft tooling manufacturing enterprises. The practical application of MES-GZ verifies thecorrectness and feasibility of the proposed theories and methods in this paper.