EconPapers    
Economics at your fingertips  
 

Selection and Scheduling of Pharmaceutical Research Projects

Rainer Kolisch () and Konrad Meyer ()
Additional contact information
Rainer Kolisch: Technical University of Munich
Konrad Meyer: A.T. Kearney

Chapter Chapter 13 in Perspectives in Modern Project Scheduling, 2006, pp 321-344 from Springer

Abstract: Abstract This paper deals with the lead optimization phase of pharmaceutical research where a number of leads (molecules as a basis for potential drugs) are processed by different departments in order to optimize their biochemical characteristics. We depict each lead as a project and model the problem as a static multi-project selection and scheduling problem under resource constraints with the objective to maximize the weighted work performed. For solving the problem we propose two heuristics. We assess their performance in a computational study and we point out one dominant method. Furthermore we show the impact of problem parameters such as the extend to which projects can be crashed.

Keywords: Pharmaceutical R&D; Lead Optimization; Multi-Mode Resource-Constrained Project Scheduling; Heuristics (search for similar items in EconPapers)
Date: 2006
References: Add references at CitEc
Citations: View citations in EconPapers (16)

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:978-0-387-33768-5_13

Ordering information: This item can be ordered from
http://www.springer.com/9780387337685

DOI: 10.1007/978-0-387-33768-5_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 ().

 
Page updated 2025-04-01
Handle: RePEc:spr:isochp:978-0-387-33768-5_13