Abstract
Štore Steel Ltd. is one of the largest flat spring steel producers in Europe. There are two production lines after rolling – one for flat bars and the other for round bars. The flat bars production generally consists of visual examination, straightening and cutting operation. In addition, heat treatment or magnetic particle testing could be conducted. On the other hand, the round bars production consists generally of straightening, automatic control line control, chamfering and cutting. In addition, heat treatment is possible. For manipulation of the material in the rolling plant, the electric transporter and several cassettes are used. In the paper path planning and production storage optimization (i.e. storage spaces for cassettes) were conducted using genetic algorithm. The production storage is actually the space between main transport passage and individual operations. In the research the universal system using CAD geometry is presented where AutoCAD environment and in-house developed AutoLISP system were used. The production storage – storage spaces for cassettes (location and orientation) with corresponding electric transporter trajectories are represented as CAD objects and thus form individual solution/organism. The organisms undergo simulated evolution. The results of the evolution are compared with actual production storage in the steel plant.
Highlights
Production space is a space primarily intended for production
The developed system was used for path planning and production storage optimization in steel plant in Slovenia
The intermediate storage spaces in production (storage spaces for cassettes) with corresponding electric transporter trajectories are represented as computer aided design (CAD) objects and form individual solution/organism
Summary
Production space is a space primarily intended for production. Any stock of material or products in production is a loss because it binds capital, occupies production’s space and requires additional manipulation. Intermediate storage places for products in production are a reality They serve as a buffer for times when the outbound warehouse is out of service or its resources are busy with shipping. Martin [2] extends results of previous models for optimizing interstation buffer capacities for short production lines. His paper refines and extends previous results for lengthier systems and for generally-distributed workstation His results are presented in a table that provides the line designer with the essential coefficients to find the optimal buffer capacities for many realistic systems. Mak [3] developed a simple optimal buffer capacity model for series production line where the service time variability is described by the normal distribution and the buffers are allocated the same capacity. An expression is derived for the buffer capacity, which minimizes the sum of the delay, inventory carrying, and storage facility costs
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