Partially Renewable Resources

Ramon Alvarez-Valdes (), Jose Manuel Tamarit () and Fulgencia Villa ()
Additional contact information
Ramon Alvarez-Valdes: University of Valencia
Jose Manuel Tamarit: University of Valencia
Fulgencia Villa: Polytechnic University of Valencia

Chapter Chapter 11 in Handbook on Project Management and Scheduling Vol.1, 2015, pp 203-227 from Springer

Abstract: Abstract In recent years, in the field of project scheduling the concept of partially renewable resources has been introduced. Theoretically, it is a generalization of both renewable and non-renewable resources. From an applied point of view, partially renewable resources allow us to model a large variety of situations that do not fit into classical models, but can be found in real problems in timetabling and labor scheduling. In this chapter we define this type of resource, describe an integer linear formulation and present some examples of conditions appearing in real problems which can be modeled using partially renewable resources. Then we introduce some preprocessing procedures to identify infeasible instances and to reduce the size of the feasible ones. Some exact, heuristic, and metaheuristic algorithms are also described and tested.

Keywords: GRASP; Makespan minimization; Partially renewable resources; Project scheduling; Scatter search (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations: View citations in EconPapers (3)

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:ihichp:978-3-319-05443-8_11

Ordering information: This item can be ordered from
http://www.springer.com/9783319054438

DOI: 10.1007/978-3-319-05443-8_11

Access Statistics for this chapter

More chapters in International Handbooks on Information Systems from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().