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Full Description
Advances in Supply Chain Finance and FinTech Innovations examines three themes: Financing Issues in Supply Chains look into popular working capital management financing practices: trade credits and guarantor practices including advanced trade credit practices in supply chains, guarantor financing practices for capital constrained retailers, and innovative practices of joint financing of capital constrained firms by a bank.
FinTech Innovations for Supply Chains examines business model innovations for supply chain financing supported through new platform technologies (such as blockchain), and simple financial technologies effectively implemented for high impact in supply chain risk management.
Advances in Risk Management of Operational Systems provide state-of-the art thinking on many risk issues in supply chain operations including disruption strategies over the product life cycle, the production planning complexities for a capital constrained manufacturer that uses Inventory Based Financing (IBF) scheme to fund its working capital needs, capacity procurement decision, capacity planning in the presence of demand and price uncertainty, and valuing complex real options in dynamic operational settings.
Contents
Advances in Supply Chain Finance and FinTech Innovations Book Overview
Part 1: Financing Issues in Supply Chains
Trade Credit in Supply Chains: Multiple Creditors and Priority Rules
Guarantor Financing Selection Under Influence of Supply Chain Leadership and Economies of Scale
Inventory and Financial Strategies with Capital Constraints and Limited Joint Liability
Part 2: FinTech Innovations for Supply Chains
Financing Inventory Through Initial Coin Offerings (ICOs)
Renewable Identification Numbers: A Supply-Chain Risk View
Part 3: Advances in Risk Management of Operational Systems
Managing Disruption Risk Over the Product Life Cycle
Production Planning with Inventory-Based Financing
Achieving Efficiency in Capacity Procurement
The Term Structure of Optimal Operations
Least Squares Monte Carlo and Approximate Linear Programming with an Energy Real Option Application