| With the increasingly fierce market competition, it has been the main productmodel that facing to customer order for the muti-species and small batch producing inthe21stcentury. In such a production environment, it has become the key problems thathow the production planning and schedule to be arranged effectively to the enterprise.In order to enhance core competitiveness, enterprise must improve internal productionmanagement, make full use of resources, and set reasonable production scheduling,ensure delivery in time, reduce the manufacturing costs, improve equipment utilization.Good scheduling methods have a great role for enhancing optimization characters andeconomic benefits of manufacture system. Scheduling optimization is a typical NPproblem, and it has been attracted great attention from both the academia and industry.Therefore, the study on production logistics scheduling optimization is of greattheoretical and practical significance.Take full account of the complexity of production logistics schedulingoptimization problem, based on the analysis of research methods and developmentsabout production logistics scheduling optimization inside and outside country, theproduction logistics scheduling optimization problem is defined as the NP completecombinatorial optimization problems. The complex problem is decomposed intomultiple simple questions, using of genetic algorithms for solving the model. Describedspecific production scheduling as n workpieces processing m machines. Constraintconditions is the number of processing equipment, each piece of processing in eachmachine processes as well as the operation processing time. To meet a variety ofresource constraints and process constraints relationship, under the premise of allprocesses assigned to the machine tool can process and confirm the sequence ofprocessing operations and the commencement of processing time, the goal is optimalallocation of machine tool operations, reasonable arrangements for operating theprocessing sequence and processing start time.Due to the production scheduling problem, take the total production time asscheduling optimization objective, production logistics scheduling optimizationmanagement system is designed. Two aspects of the economic viability and technicalfeasibility demonstrate the system development feasibility. Analysis the key issues of system development such as achieve scheduling results, standard basic data, applyalgorithm, running platform and development environment. Scheduling optimizationmanagement, basic data management, production planning management, productioninformation management, production monitoring management are designed. For this isgiven priority to with producing heavy duty machine tools and forging equipmentmachinery manufacturing enterprise’s production logistics scheduling optimizationproblems to develop application software system, software systems is developed. TakeSQL Server2000as database, VC++and Matlab programming interaction is used byuser interface development, scheduling process management, scheduling optimizationand scheduling optimization results are displayed by gantt chart are realizationed. Theresult shows that the total processing time can be significantly reduced, the validity ofthe model is proved. |