# Improving the Production Efficiency Based on Algorithmization of the Planning Process
## 5 Conclusions  
Improving the efficiency of series production was the basic goal of the research. Increased productivity can be ensured by investing in production facilities or changing the approach to production planning. And it was the change in the planning mechanism, or more precisely its algorithmization (without financial investment), that was to bring about improvement.  
The expected benefits were as--the planning algorithm will improve production efficiency using minimal costs; the algorithm will respond to dynamic inputs, and a production plan will be generated so that the warehouses remain permanently at a low level and only what is needed at a given time is produced; the approach will bring standardization to the production process, which will have a direct impact on the cost savings associated with storage, and this also reduces secondary costs. The main aim was to design a planning algorithm that can respond to different, dynamically changing inputs, set priorities based on certain criteria, and compile a functional production plan for a whole week to minimize line shutdown, which is a major problem causing a lack of production capacity.  
The procedure was divided into three phases. The first phase consists of a case study in a real company, this phase includes the basic development of the planning algorithm and verification of its functionality. The second phase concerns the generalization of the suggested algorithm for use in companies with similar production and planning conditions, which is series production within the automotive industry. The third phase then characterizes the possibilities of further development of the suggested planning algorithm. Several variants of the algorithm were assessed within the case study in the real company which took into account specific aspects such as--the obligation of continuous supply to customers, the impact of the gray warehouse zone causing inaccuracies in the records, time-consuming reconstructions of the production line by the product portfolio, etc. At the current stage of development, it is possible to plan production one week in advance on one production line for four products, and two percent of production capacity was saved.  
The generalized algorithm (represented in the article as a graphical scheme) brings possibilities of application in similar companies with series production, including expansion to variously numerous product portfolios. Further development of the algorithm is open for the introduction of other functionalities such as--elimination of the gray zone and thus more accurate monitoring of stocks in real-time, more accurate planning of material purchases and thus reducing its inventory, more accurate planning of line stops and related outage planning, etc.  
Improving the production efficiency based on algorithmization of the planning process has proven to be successful. There is a potential for further development of this algorithm, which will allow to take more input variables and consider other production equipment, follow-up processes, or storage options.  
Conceptualization, O.K. and M.K.; methodology, O.K.; software, O.K.; validation, M.K. and E.V.; data curation, O.K.; writing--original draft preparation, O.K. and M.K.; All authors have read and agreed to the published version of the manuscript.  
This research was funded by University of Ostrava grant SGS11/PrF/2023.  
Not applicable.  
The authors declare no conflict of interest.