An Analysis Marble Industry Inventory Optimization Based on Genetic Algorithms and Particle Swarm Optimization
Tripti Pandey1, Ajay Singh Yadav2, Medhavi Malik3
1Tripti Pandey, Assistant Professor, Department of Computer Science & Engineering, SRM Institute of Science and Technology (Formerly Known As SRM University), Delhi-NCR Campus, Ghaziabad (U.P), India.
2Ajay Singh Yadav, Assistant Professor, Department of Mathematics, SRM Institute of Science and Technology ((Formerly Known As SRM University), Delhi-NCR Campus, Ghaziabad (U.P), India.
3Medhavi Malik, Assistant Professor, Department of Computer Science & Engineering, SRM Institute of Science and Technology ((Formerly Known As SRM University), Delhi-NCR Campus, Ghaziabad (U.P), India.
Manuscript received on 25 April 2019 | Revised Manuscript received on 07 May 2019 | Manuscript Published on 17 May 2019 | PP: 369-373 | Volume-7 Issue-6S4 April 2019 | Retrieval Number: F10720476S419/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: We propose a procured and Particle swarm improvement rationality Optimization Algorithm in Supply Chain Management We base on the specific of the no vulnerability surplus Marble Industry age engineer Inventory and lack required for the Marble Industry store sort out stock Optimization of the stock structure, with the objective that the entire creation compose Costs are constrained. The multifaceted thought of the issue increases if more things and more pros are intertwined Marble Industry store create Inventory the regulators procedure recognized around there Job. We apply our technique to six people from the creation sort out Model disliked for advancement.
Keywords: Supply Chain, Inventory Control, Genetic Algorithm, Particle Swarm Optimization.
Scope of the Article: Graph Algorithms and Graph Drawing