Data Analytics and Artificial Intelligence for Inventory and Supply Chain Management /
Dinesh, K. Sharma
Data Analytics and Artificial Intelligence for Inventory and Supply Chain Management / Dinesh K. Sharma & Madhu Jain - Singapore : Springer, 2022 - XX, 284 p. : ill. ; 24 cm.
Markov Decision Processes of a Two-Tier Supply Chain Inventory System p.1-22 -- Nature-Inspired Optimization for Inventory Models with Imperfect Production p.23-44 -- A Multi-objective Mathematical Model for Socially Responsible Supply Chain Inventory Planning p.45-62 -- Artificial Intelligence Computing and Nature-Inspired Optimization Techniques for Effective Supply Chain Management p.63-80 -- An EPQ Model for Imperfect Production system with Deteriorating Items, Price-Dependent Demand, Rework and Lead Time Under Markdown Policy p.81-96 -- Retrial Inventory-Queueing Mode with Inspection Processes and Imperfect Production p.97-112 -- Inventory Model for Growing Items and Its Waste management p.113-132 -- Pavement Cracks Inventory Survey with Machine Deep Learning Models p.133-154 -- Decarbonisation Through Production of Rhino Bricks From the Waste Plastivs : EPQ Model p.155-172 -- Cost Analysis of Supply Chain Model for Deterioration Inventory Items with Shortages in Fuzzy Environment p.173-192 -- Multi-echelon Inventory Planning in Supply Chain p.193-206 -- Impact of Renewable Energy on a Flexible Production System Under Preorder and Online Payment Discount Facility p.207-224 -- Impact of Preservation Technology Investment and Order Cost Reduction on and Inventory Model Under Different Carbon Emission Policies p.225-248 -- The Impact of Corporate Credibility on Inventory Management Decisions p.249-262 -- A Bidirectional Neural Network Dynamic Inventory Control Model for Reservoir Operation p.263-284
9789811963360 4935
BUSINESS INTELLIGENCE
ARTIFICIAL INTELLIGENCE
SUPPLY CHAIN
HD 38.7 / D56D 2022
Data Analytics and Artificial Intelligence for Inventory and Supply Chain Management / Dinesh K. Sharma & Madhu Jain - Singapore : Springer, 2022 - XX, 284 p. : ill. ; 24 cm.
Markov Decision Processes of a Two-Tier Supply Chain Inventory System p.1-22 -- Nature-Inspired Optimization for Inventory Models with Imperfect Production p.23-44 -- A Multi-objective Mathematical Model for Socially Responsible Supply Chain Inventory Planning p.45-62 -- Artificial Intelligence Computing and Nature-Inspired Optimization Techniques for Effective Supply Chain Management p.63-80 -- An EPQ Model for Imperfect Production system with Deteriorating Items, Price-Dependent Demand, Rework and Lead Time Under Markdown Policy p.81-96 -- Retrial Inventory-Queueing Mode with Inspection Processes and Imperfect Production p.97-112 -- Inventory Model for Growing Items and Its Waste management p.113-132 -- Pavement Cracks Inventory Survey with Machine Deep Learning Models p.133-154 -- Decarbonisation Through Production of Rhino Bricks From the Waste Plastivs : EPQ Model p.155-172 -- Cost Analysis of Supply Chain Model for Deterioration Inventory Items with Shortages in Fuzzy Environment p.173-192 -- Multi-echelon Inventory Planning in Supply Chain p.193-206 -- Impact of Renewable Energy on a Flexible Production System Under Preorder and Online Payment Discount Facility p.207-224 -- Impact of Preservation Technology Investment and Order Cost Reduction on and Inventory Model Under Different Carbon Emission Policies p.225-248 -- The Impact of Corporate Credibility on Inventory Management Decisions p.249-262 -- A Bidirectional Neural Network Dynamic Inventory Control Model for Reservoir Operation p.263-284
9789811963360 4935
BUSINESS INTELLIGENCE
ARTIFICIAL INTELLIGENCE
SUPPLY CHAIN
HD 38.7 / D56D 2022