What Lies Ahead?

Michael L. Pinedo ()
Additional contact information
Michael L. Pinedo: Stern School of Business New York University, Department of Information, Operations, and Management Sciences

Chapter Chapter 16 in Planning and Scheduling in Manufacturing and Services, 2009, pp 399-407 from Springer

Abstract: Abstract With so many different types of applications, it is not surprising that there is such a great variety of planning and scheduling models. Moreover, the numerous solution methods provide a host of procedures for the myriad of problems. Any given application typically requires its own type of planning and scheduling engine as well as customized user interfaces. The overall architecture of a system may therefore be very application-specific. The decision support systems that have been designed for planning and scheduling in the various industries tend to be quite different from one another. Over the last decade there has been a tendency to build larger systems that have more capabilities and that are better integrated within the ERP system of the enterprise. Especially in the manufacturing world there has been a tendency to design and develop integrated systems with multiple functionalities. Especially in supply chain management the systems (and their underlying models) have become more and more elaborate. The dimensions according to which such a system can be measured include the number of facilities in the network as well as the various time horizons over which the system must optimize. Integration may occur in scope, space and time.

Keywords: Supply Chain; Schedule Problem; Decision Support System; Supply Chain Management; Constraint Programming (search for similar items in EconPapers)
Date: 2009
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:sprchp:978-1-4419-0910-7_16

Ordering information: This item can be ordered from
http://www.springer.com/9781441909107

DOI: 10.1007/978-1-4419-0910-7_16

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().