Ajay Singh Yadav Anupam Swami C. B. Gupta Ankur Garg Department of Mathematics, SRM University, Delhi-NCR Campus, Modinagar, Ghaziabad, U.P., India Department of Mathematics, Govt. P.G. College, Sambhal, U.P., India Department of Mathematics, Department of Mathematics, Birla institute of Technology and Science, Pilani, Rajasthan, India Department of Computer Science, MIET College, Meerut, U.P., India Selforganizology ISSN 2410-0080 http://www.iaees.org/publications/journals/selforganizology/online-version.asp 2017 4 4 52 64 International Academy of Ecology and Environmental Sciences Hong Kong 8 February 2017 15 March 2017 1 December 2017 supply chain inventory optimization warehouse artificial bee colony algorithm genetic algorithm particle swarm optimization algorithm The purpose of the proposed study is to give a new dimension on warehouse with artificial bee colony algorithm using genetic algorithm and particle swarm optimization algorithm processes in six stages - 11 member supply chain in electronic component inventory optimization to describe the certain and uncertain market demand which is based on supply reliability and to develop more realistic and more flexible models. We hope that the proposed study has a great potential to solve various practical tribulations related to the warehouse using genetic algorithm processes in six stages - 11 member supply chain in electronic component inventory optimization and also provide a general review for the application of soft computing techniques like genetic algorithms to use for improve the effectiveness and efficiency for various aspect of warehouse with artificial bee colony algorithm using genetic algorithm and particle swarm optimization algorithm. http://www.iaees.org/publications/journals/selforganizology/articles/2017-4(4)/electronic-component-inventory-optimization.pdf