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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | A Computational Model for CRM-Driven Optimization in Food and Beverage Manufacturing Execution Systems |
| Authors Name: | Sharda Kumari |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_193820
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| Published Paper Id: | IJNRD1805015 |
| Published In: | Volume 8 Issue 5, May-2018 |
| DOI: | |
| 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. |
| Keywords: | manufacturing execution systems, customer relationship management, food and beverage industry, optimization, production scheduling |
| Cite Article: | "A Computational Model for CRM-Driven Optimization in Food and Beverage Manufacturing Execution Systems", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.75-80, May-2018, Available :http://www.ijnrd.org/papers/IJNRD1805015.pdf |
| Downloads: | 000118774 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD1805015 Registration ID: 193820 Published In: Volume 8 Issue 5, May-2018 DOI (Digital Object Identifier): Page No: 75-80 Country: -, -, -- Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD1805015 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD1805015 |
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