This article aims to develop an organizational performance management model in a dynamic structure, formed in the scientific methods gathering together. All the criteria, expected to be in the performance evaluation form, create the performance criteria pool (shown as Ph). This pool has a dynamic structure containing criteria which are decided to take into consideration by the manager. Performance criteria pool getst together in main group names (shown as AG) and for each AG, half of the total score is taken by using two methods, of which significance degrees are the highest ones in the result of AHP. The cumulative score shows the "Growth in Learning" level. Growth in learning data, specify the level of knowledge and experience level, the tendency, strong and developable aspects of the evaluated personnel.

Assembly line, one of the most important study-fields of both manufacturing and operations management and operations research, has continued to be a popular field regarding to the technological improvements for the searchers. In the result of process innovation by balancing the stations in the assembly line; the engineering studies, done in the period which is from the first step of the production till the last step that the product is done, have significant results by means of analyzing the different parameters. One of these studies is done in the content of this article regarding to the product of the light truck line of a company in the automotive field. The main targets of this article are; determining the minimum station numbers for assembly line, the operations done in every station and the lost balance of the line. Finally, the results expected in the result of the developed algorithm is written below; Minimizing the late times of the orders, Balancing the used capacity, Minimizing the flow times, Minimizing the late work orders, Balancing the used capacities of the machines and the equipment,

Solution proposals, based on dynamic approaches, can easily take place of the existing situations owing to the unlimited customer requests. Therefore, this may lead to a rapid transformation, triggering the manufacturing society to deal with the requirements for a sustainable competitive advantage. Especially, the automotive field, deeply affected by the fast-changing demands, brings about some new business models superimposing the existing ones because of the technology-intensive production management. This progress makes the world's expectation be higher depending on process innovation and minimizing the lead time may be declared as one of the top satisfaction points in the market. This paper, including the review of different manufacturing methods, highlights the awareness of the best implementations along with the production management in the automotive field. Moreover, the final objective is to develop a process innovation by designing a dynamic algorithm. The content of the paper, depending on multiple machines with multiple orders, is completed in all details by analyzing the gaps of the literature review. In the second step, the original algorithm is formed by taking into consideration the priorities. The achieved analysis is based on the main criteria and subcomponents of the scheduling of the manufacturing process. Finally, the algorithm, formed by four main priorities, leads the numerical implementations to be done in only one order and the results show that this approach can be a good way for minimization of total delays of orders. The results approve that the algorithm minimizes the delay and helps the customer increase their satisfaction.