A flow-network approach for equilibrium of material requirements planning [An article from: International Journal of Production Economics]
Book Details
Author(s)M.M. Yenisey
PublisherElsevier
ISBN / ASINB000RR9RVE
ISBN-13978B000RR9RV5
AvailabilityAvailable for download now
MarketplaceUnited States 🇺🇸
Description
This digital document is a journal article from International Journal of Production Economics, 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:
Material requirements planning (MRP) has been a very popular and widely used multi-level inventory control method since 1970s. Recent developments in computer and information technology accelerate and facilitate the calculations necessary for MRP, but MRP is simply a system to open and trace the production/purchasing orders under pre-determined lead-time and lot size constraints. It does not directly include any optimization feature. In this article, an approach, which consists of the Flow Network with Side Constraints, is discussed in order to optimize the material flows in MRP problems. Additionally, an example case is given in order to show the applicability of the flow network formulation to APS. The model of the example case is solved and the computational results are given.
Description:
Material requirements planning (MRP) has been a very popular and widely used multi-level inventory control method since 1970s. Recent developments in computer and information technology accelerate and facilitate the calculations necessary for MRP, but MRP is simply a system to open and trace the production/purchasing orders under pre-determined lead-time and lot size constraints. It does not directly include any optimization feature. In this article, an approach, which consists of the Flow Network with Side Constraints, is discussed in order to optimize the material flows in MRP problems. Additionally, an example case is given in order to show the applicability of the flow network formulation to APS. The model of the example case is solved and the computational results are given.
