Advanced Supply Chain Models

Marc Goetschalckx ()
Additional contact information
Marc Goetschalckx: Georgia Institute of Technology

Chapter Chapter 13 in Supply Chain Engineering, 2011, pp 615-670 from Springer

Abstract: Abstract In Chap. 12, three, main models were developed for the planning and design of supply chains. The first model supported the selection of the transportation process for a single origin–destination link in the supply chain. Because of its focused scope the model could be highly detailed. The second model supported tactical planning. It accommodated multiple products with a bill of materials structure, multiple echelons, and multiple periods. The third major model supported strategic supply chain decisions. It accommodated multiple echelons and multiple periods, but not bill of material relationships. In general, the models became more aggregate when their scope and time horizon expanded. In this chapter, more advanced models are introduced that accommodate specific complicating features of the supply chain. The model used in the decision support for a specific supply chain instance may include some, but most likely not all, of these expansions. Increasing the complexity of the model requires more detailed data, more sophisticated algorithms, and longer computation times.

Keywords: Supply Chain; Transfer Price; Bender Decomposition; Supply Chain Design; Transportation Channel (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-1-4419-6512-7_13

Ordering information: This item can be ordered from
http://www.springer.com/9781441965127

DOI: 10.1007/978-1-4419-6512-7_13

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().