# Decision-Making Techniques of the Consumer Behaviour Optimisation of the Product Own Price
## 2 Literature Review
[18] proposed a qualitative approach to the generation of the data needed to support decision-making on the economic efficiency of the production system. In order to maximise profit from sales, she proposed the use of linear programming methods. A method for the selection of a best-future-state map using a cost-time profile approach was presented by [19], with which manufacturing organizations can identify the current value of their products, eliminate waste and improve the value-added time in the production processes. The customer demand is considered as being deterministic in the form of a fixed number. However, considering the industry's conditions, and in order to respond to customer requirements more flexibly, the author suggested that the customer demand and its impact on VSM should be considered in future research. The biggest contribution of the cost-time profile is, in fact, in improving the accuracy of the calculation of the direct costs of the product as well as the detection of hidden costs that were not previously considered [20]. Through optimisation and forecasting, efficient, flexible and responsible supply chains can be built, thus achieving key competitive advantages [21]. [PERSON] et al. [22] adds that the production system can be improved, in terms of lean production, by using a genetic algorithm to flexibly change its configuration (the number and location of workers and work equipment). [PERSON] et al. [23] showed that the impact of lean bundles (just-in-time, total quality management, and human resource management practices) and servitisation on sustainable performance is much more complicated than was previously thought, and highlighted the value of complementarity thinking in addressing corporate sustainability. Authors have, in [24], explored the effect of lean practices on performance measures, and have identified the lean criteria (among them the customer management), that can have a significant impact on the supply chain, and can help decision makers to choose the appropriate strategy in the identification of major practices that influence the lean supply chain. The results obtained in the research [25] show support for the influence of firm risk and past operational performance variability in terms of the undertaking of decisions that favour further progress in lean production implementation. The impact of the external and internal environment influences a company's commitment to increasing its level of lean production implementation and fosters managers' strategic decision making. Lean implementation could help to guarantee firm survival. [PERSON] and [PERSON] [26] concluded, based on the collected data from 140 supply chain professionals, that lean and agile strategies have a significant impact on the robust supply chain and the resilient supply chain. As such, companies need to implement the right combination of both supply chain strategies to create a robust and resilient supply chain. In the article [27], the authors proposed a multicriteria decision-making framework that combines the self-confidence aggregation approach and the social trust network. Based on the literature review and industry needs, the authors decided that the objective of this article would be to find the relationship between customer behaviour and the average cost of the product. Excessive storage in the production process is a type of waste that also causes other waste, such that an optimization of the stock quantity in the warehouse and between operations in the production process is necessary, with appropriate measures influencing the rationalization of the production process. It is well known that the cost of overstocking can have a significant impact on the cost (own price) of a product, which can be controlled using an appropriate mathematical model. In extreme cases, the additional cost of inventory can cause the \(ACP\) to be higher than the selling price in the market, such that there is a loss. For this reason, we proposed a new method, which is described in the Methodology section.