Supply chain analysis: supply chain analysis: spreadsheet or simulation?
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
An object-oriented framework for simulating multi-echelon inventory systems
Proceedings of the 38th conference on Winter simulation
International Journal of Data Analysis Techniques and Strategies
A supply chain forecast and planning application for small businesses
International Journal of Data Analysis Techniques and Strategies
International Journal of Operations Research and Information Systems
Genetic Algorithm for Inventory Levels and Routing Structure Optimization in Two Stage Supply Chain
International Journal of Information Systems and Supply Chain Management
Hi-index | 0.01 |
Inventory control is one way to increase profit margins without altering resources. A spreadsheet model was developed for the inventory control of packaging material in a real case study from a fruit juice manufacturing firm. The contribution of this paper is the construction of a spreadsheet model that incorporates a dynamic re-order point policy logic; using the result from the spreadsheet-based approach and analytical approximation method, a best alternate ordering policy for a single-echelon supply chain can be developed by the statistical analysis of the dynamic re-order point, static re-order point and existing ordering policies and the flexibility of the optimal ordering policy was evaluated using a randomly generated demand. The objective of this work is to develop the best ordering policy with a low total inventory cost to ensure a better service efficiency level across a single-echelon supply chain. The reduction in the total inventory costs obtained from the spreadsheet-based approach is compared with the analytical approximation method. This paper provides a basic understanding with respect to the development of an ordering policy for a single-echelon supply chain.