Paper Title
A Computational Model for CRM-Driven Optimization in Food and Beverage Manufacturing Execution Systems
Article Identifiers
Authors
Sharda Kumari
Keywords
manufacturing execution systems, customer relationship management, food and beverage industry, optimization, production scheduling
Abstract
Manufacturing Execution Systems (MES) play a critical role in improving efficiency and productivity in the food and beverage industry. With the increasing need for customer-centric approaches, the integration of Customer Relationship Management (CRM) has become crucial for optimal decision making. This paper presents a computational model for CRM-driven optimization in food and beverage Manufacturing Execution Systems. The proposed model combines data from both MES and CRM to create a holistic approach, enabling manufacturers to align their production strategies with customer preferences and market trends. The model incorporates machine learning techniques and advanced analytics to optimize production scheduling, reduce waste, and improve overall manufacturing performance. A case study in a food processing plant is used to validate the model, demonstrating significant improvements in efficiency and customer satisfaction. This research provides a framework for integrating CRM and MES in the food and beverage industry, offering valuable insights for manufacturers seeking to enhance their competitive advantage.
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How To Cite (APA)
Sharda Kumari (May-2018). A Computational Model for CRM-Driven Optimization in Food and Beverage Manufacturing Execution Systems. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), 75-80. https://ijnrd.org/papers/IJNRD1805015.pdf
Issue
Volume 8 Issue 5, May-2018
Pages : 75-80
Other Publication Details
Paper Reg. ID: IJNRD_193820
Published Paper Id: IJNRD1805015
Downloads: 000121982
Research Area: Engineering
Country: -, -, --
Published Paper PDF: https://ijnrd.org/papers/IJNRD1805015.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD1805015
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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