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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM45677

MANAGEMATE-An Integrated Platform for Inventory, Financial, and Business Management

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM45677

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM45677

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AS

Aayush Sharma

AB

Ashutosh Bishnoi

AKS

Anurag Kumar Sah

HK

Harsh Kumar

DKSA

Dr. K S Arvind.

MB

Mridul Baheti

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Abstract

Compelling stock administration is critical for upgrading functional productivity, limiting expenses, and keeping an upper hand across different ventures, from little and medium undertakings (SMEs) to enormous scope administration and assembling associations. This concentrate thoroughly looks at the adequacy of laid out stock administration strategies, like ABC analysis, XYZ examination, Monetary Request Amount (EOQ), and multi-standards stock characterization, while researching their applications in assorted business settings. Through a top to bottom contextual analysis approach, we recognize existing holes and failures inside customary stock practices, especially in the space of supply control, asset distribution, and working capital administration. One critical finding of this exploration is the benefit of joining old style and present day stock control strategies to make fitted arrangements that take care of the interesting necessities and limitations of various hierarchical conditions. Procedures like the joined ABC-XYZ examination, for example, offer a strong way to deal with grouping and overseeing stock by zeroing in assets on things with the most elevated influence on business tasks and productivity. Also, EOQ gives bits of knowledge into ideal request amounts, adjusting holding expenses and request expenses to keep up with powerful stock levels. Be that as it may, in conditions where request is exceptionally factor and functional limitations are complicated, conventional methodologies might miss the mark. To address this, we present a multi-standards weighted nonlinear improvement (WNO) model as a high level, versatile device for stock prioritization, which represents different rules past interest and holding cost, including thing criticality, lead times, and financial plan constraints. The discoveries of this study highlight the significance of taking on an essential way to deal with stock administration — one that lines up with the particular functional requirements, request designs, and monetary imperatives of an association. By combining traditional stock strategies with cutting edge multi- models procedures, this examination offers significant experiences for organizations meaning to decrease shortcomings, improve independent direction, and accomplish savvy stock administration. The concentrate eventually delineates that an adaptable, information driven stock administration technique works on functional strength and responsiveness as well as enables associations to keep up with ideal stock levels, lessen overabundance expenses, and improve administration conveyance, consequently supporting economical development and seriousness.

KEYWORDS

Inventory Management Operational Efficiency Cost Optimization Economic Order Quantity (EOQ) Multi-Criteria Inventory Classification Weighted Nonlinear Optimization (WNO) Resource Allocation Supply Chain Management Demand Variability Working Capital Management Decision-Making Business Competitiveness.

Cite This Article

Aayush Sharma, Ashutosh Bishnoi, Anurag Kumar Sah, Harsh Kumar, Dr. K S Arvind., Mridul Baheti, "MANAGEMATE-An Integrated Platform for Inventory, Financial, and Business Management," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025. https://doi.org/10.55041/IJSREM45677

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Publication Date

4/24/2025

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Double-Blind Peer Review

Review Rounds: 2

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