Fuzzy Inventory Model for Deteriorating Item
by Dr Harish Nagar, Ms. Priyanka Surana
This book introduces a fuzzy inventory model for deteriorating items, leveraging fuzzy logic to manage uncertainties in perishable goods. Developed by Dr. Harish Nagar and Ms. Priyanka Surana, it offers a robust framework for optimizing inventory decisions, minimizing costs, and improving efficiency in supply chains dealing with time-sensitive products.
About This Book
This book presents a fuzzy inventory model specifically tailored for deteriorating items, providing a mathematical framework to handle inventory challenges in dynamic environments.
Authored by Dr. Harish Nagar and Ms. Priyanka Surana, the model incorporates fuzzy logic to account for uncertainties in demand, deterioration rates, and other variables affecting perishable inventory.
Readers will find practical insights into applying fuzzy set theory to optimize inventory policies, reducing costs and waste in sectors like food and pharmaceuticals.
The approach enhances traditional inventory models by addressing real-world ambiguities, making it a valuable resource for researchers and practitioners in operations management.
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