Open AccessAnalysis of Inventory Level Optimization Using Artificial Intelligence Approach
Author(s) -
. Yogesh,
Sudhir Shrivastava
Publication year - 2019
Publication title -
international journal online of sports technology and human engineering
Language(s) - English
Resource type - Journals
ISSN - 2349-0772
DOI - 10.24113/ojssports.v7i2.90
Subject(s) - finished good , inventory management , reliability (semiconductor) , process (computing) , work (physics) , computer science , operations research , business , operations management , engineering , economics , production (economics) , microeconomics , mechanical engineering , power (physics) , physics , quantum mechanics , operating system
Inventories are raw materials, work-in-process goods and completely finished goods that are considered to be the portion of business’s assets that are ready or will be ready for sale. Formulating a suitable inventory model is one of the major concerns for an industry. The earliest scientific inventory management researches date back to the second decade of the past century, but the interest in this scientific area is still great. Again considering the reliability of any process is an important feature in the research activities. Values of some factors are very hard to define or almost unreal. In such cases, AI models of inventory management take an important place.