تحقيق الأمثلية في إدارة المخزون باستخدام أسلوب المحاكاة : استخدام الأسلوب الكمي في شركة الواحة للمشروبات الغازية : دراسة تحليلية

Abstract EN

The researcher sheds light on the role of optimality and simulation because it is of great importance to organizations of different nature of their activities.

Therefore, the researcher focused on standing on the reality of the work of the Oasis Soft Drinks Company in the field of optimization and its role in managing the stock in an environment characterized by uncertainty.

The problem of the study was identified in two dimensions.

The first dimension is knowledge, represented by the poverty of studies related to the subject of optimization by simulating stock management in light of the uncertainty that it is one of the objective variables that are characterized by overlapping in the mechanisms and work methodologies, which need research and study.

As for the second applied dimension, it describes the future vision of applying the simulation method and its positive impact in the field of inventory management at the present time.

The study was applied in the field of industry facing the process of change in the current stage with the accumulation of causes of neglect and lack of development and modernization.

In order to achieve the objectives of the study, an action plan was prepared that describes the practical application of the researched laboratory.

In order to obtain data and information related to the study variables, the researcher adopted an advanced scale suitable for the study.

For the purpose of analyzing the data received regarding the study variables, the researcher used a number of mathematical methods represented by equations and using the Arena simulation program.

In the light of the results obtained.

The study found the fact that the fitness can only be applied through the simulation based on optimality method.

The simulation includes providing several scenarios that correspond to the reality of the work environment, which is characterized by uncertainty.