Abstract
Technical innovations in the area of manufacturing logistics are introduced partially and thus fail to realize their full potential. In order to optimise the efficiency of turning manufacturing processes, the production planning and scheduling, cutting tools and material flow process, manufacturing capacities have been analysed. All data from production operations, quantities and the, duration of operations are now kept in the ERP system. It provided the necessary condition for the establishment of a robust planning model, which includes stock control of material and cutting tools. An update was required for the whole lifecycle of products and means of work. The article presents information and an algorithm for a dynamic scheduling model, based on a genetic algorithm. The orders on the machines are scheduled on the basis of a genetic algorithm, according to the target function criteria. The algorithm provides a satisfactory, almost ideal solution, which is good enough for implementation in practice. With the GA the machine utilization increased, throughput time was reduced and costs and delivery delays improved. The presented model of GA also allows further optimisation of manufacturing plans and the machines layout.
Highlights
In the traditional approach, planning and scheduling are two separate and successive operations
The updated process planning improved the efficiency of production and reliability of supplies
non-linear process planning (NLPP) involves alternative plans, which allows better scheduling flexibility. Such a method can be introduced in enterprises without the need for their reorganisation, compared to distributed process planning (DPP) and closed loop process planning (CLPP) that would require reorganisation of the planning and scheduling departments
Summary
In the traditional approach, planning and scheduling are two separate and successive operations. Master production schedule (MPS) and capacity requirement planning (CRP) in the environment of manufacturing resources planning (MRPII) are the most frequently applied traditional methods in practice. This system is characterised by a hierarchical approach from top to bottom. Separate treatment of planning and scheduling often results in plans having to be manually modified This leads to significant rearrangement costs and supply delays. Nowadays, such planning does not provide efficient business operations as customers and the market require flexibility and quick response The solution for such problems is the integration of the planning and scheduling processes. The updated process planning improved the efficiency of production and reliability of supplies
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