| Pub. Date | : Dec, 2018 |
|---|---|
| Product Name | : The IUP Journal of Supply Chain Management |
| Product Type | : Article |
| Product Code | : IJSCM31812 |
| Author Name | : Ajay K Aggarwal and Dinesh S Dave |
| Availability | : YES |
| Subject/Domain | : Strategic |
| Download Format | : PDF Format |
| No. of Pages | : 8 |
Compared to the research efforts aimed at identifying the leading causes and impact of the bullwhip effect on supply chains, efforts to stem its existence have been relatively scarce. In this paper, the authors suggest an innovative artificial intelligence approach that may be applied to any stage in the supply chain. The study exploits previous research efforts, uses historical data, and applies the product life cycle concept to the modeling process.
A supply chain is a network of companies involved in making goods and services available to consumers, including all of the functions enabling the purchasing, production, delivery, and recycling of materials, components, and end-goods (Wisner, 2017). The term supply chain comes from a picture of how organizations are linked together, as viewed from a particular company (Jacobs et al., 2018). Supply chain management is the integration of key business processes concerning the flow of materials from raw material suppliers to the final customers (Wisner, 2017).