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Studying the operational efficiencies of a multi-product supply chain [An article from: Technovation]
Book Details
Author(s)S. Kumar, J. Kropp
PublisherElsevier
ISBN / ASINB000P6OBJU
ISBN-13978B000P6OBJ6
MarketplaceFrance 🇫🇷
Description
This digital document is a journal article from Technovation, published by Elsevier in 2006. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
This paper presents a simple Excel spreadsheets-based model with @Risk add-in software that incorporates the effects of variability in demand, forecast and lead time. The model replicates a four-stage supply chain with multiple-retailers, wholesalers, manufacturers, and suppliers to demonstrate how a multi-product supply chain will react to certain changes. The model was created so that it could be used in either a teaching setting or in industry for making supply chain design decisions. From the teaching aspect, students can look at a supply chain and see the effects of changes without having to experience it firsthand. Professionals in industry can modify the model to make it more like their own supply chain and see what the affects are when they want to make changes in one or more attributes. Other key characteristics of a supply chain such as, bullwhip effect, total supply chain cost analysis and information sharing can also be studied using this model.
Description:
This paper presents a simple Excel spreadsheets-based model with @Risk add-in software that incorporates the effects of variability in demand, forecast and lead time. The model replicates a four-stage supply chain with multiple-retailers, wholesalers, manufacturers, and suppliers to demonstrate how a multi-product supply chain will react to certain changes. The model was created so that it could be used in either a teaching setting or in industry for making supply chain design decisions. From the teaching aspect, students can look at a supply chain and see the effects of changes without having to experience it firsthand. Professionals in industry can modify the model to make it more like their own supply chain and see what the affects are when they want to make changes in one or more attributes. Other key characteristics of a supply chain such as, bullwhip effect, total supply chain cost analysis and information sharing can also be studied using this model.
