# Improving the Production Efficiency Based on Algorithmization of the Planning Process
## 1 Introduction  
In connection with the rising standard of living in the last decade, the automotive industry has become a very competitive environment with extremely rapid technological development. Vehicle manufacturers cooperate with suppliers that produce parts for them. Both vehicle manufacturers and customers are placing ever-increasing demands on the quantity, quality, and flawless appearance of products [1]. Production management is an activity that involves monitoring and managing production processes concerning manpower, capacity constraints, and material availability so that the required quantity and quality of products are achieved in the required time [2]. An important component of production management is its planning. Planning is used to make optimal use of equipment and machinery, human resources, production processes, and the purchase of materials [3]. The basic benefits of controlled and planned production include--higher production capacity, smoother flow of processes and materials, reduction of money stored in stocks due to lower safety stocks, optimized use of machines/workplaces/employees, elimination of time losses, and more stable product deliveries. Productivity is a key factor in a company's production performance. Frequent adjustments to production plans lead to increased costs,reduced productivity, and also a lower level of customer service [4]. Assuming that a supplier cannot invest heavily in productivity by purchasing expensive production equipment, productivity can only be increased by improving production planning and permanently reducing stocks of already manufactured products to prevent damage [5].  
In the realm of production optimization, particularly within the automotive industry, this article delves into the critical pursuit of enhancing production planning to bolster overall productivity. It zeroes in on a scenario frequently encountered in the industry--where a production and supplier company engaged in series production crafts partial products for their customer, typically a car manufacturer. The crux lies in the seamless provision of these parts to the customer's production process, with an imperative for consistent and agreed-upon daily deliveries. Within the framework of a production and supply company, production planning takes on a complex complexion. It necessitates meticulous consideration of multifaceted factors, ranging from meeting the stipulated delivery volumes to orchestrating reconstructions of the production line for a diverse product portfolio. The overarching objectives encompass mitigating production losses, curbing product storage, and minimizing overtime demands. A pivotal avenue for achieving heightened productivity rests in the investment in production facilities or a strategic reorientation of the production planning methodology. The article squarely revolves around a transformative shift--the augmentation of productivity achieved through the algorithmization of the planning process. The bedrock of this discourse is the creation of a planning algorithm tailored for mass production schemes. Unveiling the blueprint, the article expounds upon the algorithm's underlying principles, its benefits, and its potential applications. With its foundations tested in the real-world dynamics of a live company, the algorithm then underwent a process of generalization to adapt to broader settings of series production. The article further explores avenues for algorithmic expansion, anticipating a wider spectrum of functionalities.