A multi-objective model of operation allocation and material handling system selection in FMS design [An article from: International Journal of Production Economics]
Book Details
Author(s)S. Sujono, R.S. Lashkari
PublisherElsevier
ISBN / ASINB000PBZRVQ
ISBN-13978B000PBZRV2
AvailabilityAvailable for download now
MarketplaceUnited States 🇺🇸
Description
This digital document is a journal article from International Journal of Production Economics, published by Elsevier in 2007. 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 proposes a method for simultaneously determining the operation allocation and material handling system selection in an FMS environment with multiple performance objectives. The 0-1 integer programming model is developed to select machines, assign operations of part types to the selected machines, and assign material handling equipment to transport the parts from machine to machine, as well as to handle the part at a given machine. The selection is based on the compatibility between the material handling equipment and the parts. The objective is to minimize the costs of operations, material handling, machine setups, and to maximize the part-equipment compatibility. A numerical example has been presented to illustrate the application of model.
Description:
This paper proposes a method for simultaneously determining the operation allocation and material handling system selection in an FMS environment with multiple performance objectives. The 0-1 integer programming model is developed to select machines, assign operations of part types to the selected machines, and assign material handling equipment to transport the parts from machine to machine, as well as to handle the part at a given machine. The selection is based on the compatibility between the material handling equipment and the parts. The objective is to minimize the costs of operations, material handling, machine setups, and to maximize the part-equipment compatibility. A numerical example has been presented to illustrate the application of model.
