Optimisation models for the procurement through reverse combinatorial auctions in the logistics and food industries
by Chefi Triki; Jamila Akil; Huda Al-Asmakh
International Journal of Procurement Management (IJPM), Vol. 16, No. 4, 2023

Abstract: Nowadays, procurement managers in the different industries rely on the Reverse Combinatorial Auctions (RCAs) as a trading mechanism that had shown to be very efficient in allocating resources in several applications. RCAs allow the bidders to optimally express their economies of scope, since they can formulate their bids as a bundle of items, rather than on single item. Each bundle should be then either accepted or rejected all together without splitting. Here, we review and discuss the underlying mathematical optimisation models that represent the basis of the decision support system and discuss the possible benefits of using such paradigms for the different actors involved in the auctioning process. In addition, the paper highlights the advantages of employing RCAs in two major application fields, namely the logistics and food industries, in which this advanced trading paradigm had remarkable success by allowing the bidders to exploit better the synergies among the auctioned items and concede the auctioneers to minimise their procurement costs.

Online publication date: Tue, 14-Mar-2023

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Procurement Management (IJPM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com