Inventory Control with Soft Computing Techniques
Yashveer Singh1, Kriti Arya2, A K Malik3

1Yashveer Singh, Research Scholar, Singhania University, Pacheri Bari, Jhunjhunu (Rajasthan), India.
2Kriti Arya, 4th Year B.Tech, Department of ECE, Rajkumar Goel Institute of Technology, Women, Gaziyabad (U.P). India.
3A.K. Malik, Department of Mathematics, B.K. Birla Institute of Engineering &Technology, Pilani (Rajasthan), India.
Manuscript received on 11 January 2014 | Revised Manuscript received on 20 January 2014 | Manuscript Published on 30 January 2014 | PP: 80-82 | Volume-3 Issue-8, January 2014 | Retrieval Number: H1452013814/14©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: The objective of this paper is the findings a systematic review of existing research papers concern with the application of soft computing techniques to inventory management. In business organization, inventory management is one of the major core competencies to compete in the global market place. The most important purpose served by the stores is to provide the uninterrupted service to the manufacturing divisions. The purpose of inventory in any business is to decrease the cost of set up and shortage cost. Whenever demands of customers are not fulfilled then good-will of the customers may be lost and the cancellations of orders i.e., result may be in the lost of business.
Keywords: Inventory Control, Soft Computing, Fuzzy Logic, Genetic Algorithm.

Scope of the Article: Soft Computing