Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/423382
Title: | Development of Algorithms for Two Warehouse Inventory Models Using Soft Computing Techniques |
Researcher: | Sunil Kumar |
Guide(s): | Rajendra Prasad Mahapatra |
Keywords: | Computer Science Computer Science Interdisciplinary Applications Engineering and Technology |
University: | SRM Institute of Science and Technology |
Completed Date: | 2022 |
Abstract: | Soft computing is a significant requirement among computational operations on the basis of AI (Artificial Intelligence) technology. Soft computing provides approximate solutions for the complex computational problems. The management of inventory possesses a major role in the expansion of organizations and the inventories play a vital role among world s population. For achieving better services, warehouse models are implemented to satisfy the needs of customers and to protect the products from deterioration. The major objective of this research is to highlight the product enhancement in business organization through warehouses. Two forms of warehouses including own and rented warehouse are established for inventory management. Due to certain limitations like lack of storage space, complex prevention of inventory from deterioration and requirement of high cost, the inventories may get spoiled and cannot fulfill the cucstomers at the right time newline |
Pagination: | |
URI: | http://hdl.handle.net/10603/423382 |
Appears in Departments: | Department of Computer Science Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 329.9 kB | Adobe PDF | View/Open |
02_preliminary page.pdf | 447.94 kB | Adobe PDF | View/Open | |
03_content.pdf | 175.47 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 216.08 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 731.42 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 471.47 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 1.09 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 1.13 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 148.82 kB | Adobe PDF | View/Open | |
10_annexures.pdf | 520.4 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 345.16 kB | Adobe PDF | View/Open |
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