چكيده به لاتين
Today's competitive environment in manufacturing companies is faced with rapidly changing conditions in the market and various expectations of customers, and one can hardly find a company that exclusively deals with product production. Continuous changes in customer expectations and demands create a wide range of orders from customers, and this wide range must be constantly delivered to customers with appropriate, updated prices. Companies are constantly competing with each other by using quick response and flexibility in the market, so that they can take more market share. Accordingly, make-to-warehousing (MTS) systems are considered an inefficient and unreliable solution, especially when production capacity is limited. Due to the characteristics of the competitive market, changing customer demands, limited resources and production capacity, production systems for storage are not a suitable choice to maintain business survival in today's markets, and it disrupts the ability to meet the expectations of a wide range of customer orders. For this reason, manufacturing-to-order (MTO) systems have been designed and developed, and many manufacturing and service systems are shifting toward pre-production order-entry environments. As the name of the MTO system suggests, it is considered when the product demand cannot be predicted in advance. Therefore, after receiving the customer's order, the product will be produced. This system requires less cash cost, along with higher flexibility in production, but the product delivery time is also longer. Since the demand for the amount of the product cannot be accurately predicted, it will be done only after the registration of the production order with less risk, and this will increase the delivery time, and instead reduce the cost of maintenance and more flexibility in the production. The main challenge for most industrial manufacturers is to determine the optimal price of the product in order to achieve a certain profit. Therefore, pricing is a vital issue that reflects the producer's value against competitors. This parameter affects the goals related to income and market share, as well as maintaining profits, both in the long and short term. Since many real world problems can be modeled and analyzed in different ways such as mathematical and statistical methods, with modeling, optimal decisions can be made with a better understanding of the business environment and by performing sensitivity analysis of dependent parameters more easily. received Due to the fact that pricing in customized systems is very important and inappropriate price can cause customer loss and profit reduction, using an optimal pricing method is necessary for the survival of the business system. Since mathematical models are also effective in optimizing and determining strategy, an optimal pricing model is always tried, taking into account the limitations and conditions of a special system such as MTO, in order to optimize various business decisions according to order registration. and the capacity of resources to be identified and presented for making optimal decisions in production management.
