Title
Intelligence and Model Based Inventory Decision Support Systems: A Case Study Research on Inventory part of University Technolog,Used
Sold by Ergodebooks, an authorized reseller.
Returns accepted within 30 days | support@ergodebooks.com
Shipping Information
- Free Standard Shipping — United States only
- Processing Time: 1–3 business days
- Estimated Delivery: 3–5 business days after dispatch
- Double-boxed, fully insured & discreetly packaged
- Tracking number sent via email once dispatched
- Orders over $250 require signature upon delivery. Taxes calculated at checkout.
Returns & Refund
Returns accepted within 30 days of delivery.
Damaged or Defective Item
Free return shipping + replacement or full refund
Wrong Item Received
Free return shipping + replacement or full refund
Change of Mind
Return shipping at customer's expense · 25% restocking fee applies
Inventory Model has been one of the important issues specially in recent years that need to be addressed to improve the complexity of the companies and business competitiveness. On the other hand, Decision Support Systems (DSS) that are a specific class of computerized information systems that supports business and organizational decisionmaking activities, can help decision makers especially inventory managers to compile useful information from raw data, documents, personal knowledge, and/or business models to identify and solve problems and make better decisions. In this Book, we focus more on the mathematical model and artificial intelligence for inventory by considering the concepts of Decision support systems in supply chain management. The proposed system in this book can help managers in forecasting item demand in future, and also it can assist managers in order to choose an appropriate model which capable of determining the optimal order quantity and frequency of ordering based on the demand.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.