Preselection of Contractors Before Inviting for Bidding Using AHP

Satyendra Kumar Sharma ()
Additional contact information
Satyendra Kumar Sharma: BITS Pilani

Chapter Chapter 32 in Managing in Recovering Markets, 2015, pp 403-413 from Springer

Abstract: Abstract Contractor preselection is a typical multi-criteria decision-making problem that includes both quantitative and qualitative criteria. Contractor preselection requires a tool that will help managers in reducing the no. of bidders, and this process is critical in recovering markets where emphasis is on the cost, quality and sound management of contractors. The analytic hierarchy process (AHP) is a structured technique for organizing and analysing complex decisions. It has particular application in group decision-making and is used around the world in a wide variety of decision situations, in the fields such as government, business, industry, healthcare and education. AHP methodology provides a comprehensive and rational framework for structuring a decision problem, for representing and quantifying its elements, for relating those elements to overall goal and for evaluating alternative solutions. This paper seeks to take full advantage of AHP and solve the contractor preselection problem using it.

Keywords: Contractor selection; Multi-criteria decision-making; AHP (search for similar items in EconPapers)
Date: 2015
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:prbchp:978-81-322-1979-8_32

Ordering information: This item can be ordered from
http://www.springer.com/9788132219798

DOI: 10.1007/978-81-322-1979-8_32

Access Statistics for this chapter

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