Using Combinatorial Auctions for the Truckload Transportation Procurement - Chefi Triki (Sultan Qaboos University & University of Salento)

Wednesday 12 June 2019, 1:00pm to 2:00pm

Venue

LT5, LUMS

Open to

Postgraduates, Public, Staff

Registration

Registration not required - just turn up

Event Details

Chefi Triki from Sultan Qaboos University & University of Salento will present a seminar to the Management Science Department.

Abstract: The aim of this talk is to investigate the feasibility of designing and running internet-based spot markets for the e-procurement of transportation services. The spot market will use Combinatorial Auctions (CAs) as a trading mechanism. CAs have shown to be very efficient in allocating several resources such as airport landing slots,spectrum licenses, treasury bills and electrical energy. Even in the logistics sector the literature has reported several successful experiences of companies that have used CAs in order to procure their transportation needs and achieved remarkable cost savings. Carriers, transportation companies and logistics providers can also take advantage from participating in the e-markets by bidding on deliveries (origin/destination pairs) that reduce the truck empty movements in their transportation networks. The CAs technology allows them to bid on the packages of deliveries that maximize their profit rather than bidding on several single deliveries separately. The presentation will give guidelines on how to develop optimization models and solution approaches to be faced by the different actors of the spot transportation market.

Bio: Chefi Triki is an Associate Professor of Operations Research and Logistics Systems. His major research interests lie in the field of stochastic programming with application to logistics and transportation. He has published and served as a reviewer in a variety of international scientific journals. His teaching activities consists in a wide range of undergraduate and graduate courses on logistics, simulation, informatics and optimization for the engineering, mathematics, computer science and management science students.

Contact Details

Name Gay Bentinck
Email

g.bentinck@lancaster.ac.uk

Telephone number

+44 1524 592408