Optimization Of Expenses For Manufacturing Company By Statistical Model

This research is investigating effective factors to reduce expenses of car manufacturing industry supply chain. The mentioned effective factors under analysis considers to assembly parts of manufacturing company up to the target market. Utilizing mathematical and statistical models, also the research undertakes to use the best selection of vehicles and the number of human resource for reducing expenses in industry. For reach to this aim, first of all; the limitations are classifying, then in the next step the variables of mathematical modeling are optimization. In this paper a response surface model (RSM) was established and numerical simulations were performed to study the impact factor. The effects of three parameters such as fuel consumption, total workforce, and volume of transport were investigated.

کلیدواژه ها:

Optimization ، RSM ، manufacturing industry