An optimal efficient multi-attribute auction for transportation procurement with carriers having multi-unit supplies

Omega ◽  
2019 ◽  
Vol 83 ◽  
pp. 249-260 ◽  
Author(s):  
Juliang Zhang ◽  
Jie Xiang ◽  
T.C. Edwin Cheng ◽  
Guowei Hua ◽  
Cheng Chen
Keyword(s):  
Transportation Procurement

Allocating Costs in a Collaborative Transportation Procurement Network

2008 ◽  
Vol 42 (2) ◽  
pp. 146-165 ◽  
Author(s):  
Okan Örsan Özener ◽  
Özlem Ergun
Keyword(s):  
Transportation Procurement

Auction-based transportation procurement in make-to-order systems

2015 ◽  
Vol 47 (11) ◽  
pp. 1236-1251 ◽  
Author(s):  
Su Xiu Xu ◽  
George Q. Huang
Keyword(s):  
Make To Order ◽  
Transportation Procurement

Market analysis and transportation procurement for food aid in Ethiopia

2014 ◽  
Vol 48 (3) ◽  
pp. 198-219 ◽  
Author(s):  
Marie-Ève Rancourt ◽  
François Bellavance ◽  
Jarrod Goentzel
Keyword(s):  
Market Analysis ◽  
Food Aid ◽  
Transportation Procurement

scholarly journals Multiobjective Combinatorial Auctions in Transportation Procurement

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Joshua Ignatius ◽  
Seyyed-Mahdi Hosseini-Motlagh ◽  
Mark Goh ◽  
Mohammad Mehdi Sepehri ◽  
Adli Mustafa ◽  
...  
Keyword(s):  
Cost Savings ◽  
Combinatorial Auctions ◽  
Combinatorial Auction ◽  
Optimization Models ◽  
Multi Objective Optimization ◽  
Winner Determination ◽  
Objective Model ◽  
The Cost ◽  
Transportation Procurement ◽  
Preemptive Goal Programming

This paper presents a multiobjective winner determination combinatorial auction mechanism for transportation carriers to present multiple transport lanes and bundle the lanes as packet bids to the shippers for the purposes of ocean freight. This then allows the carriers to maximize their network of resources and pass some of the cost savings onto the shipper. Specifically, we formulate three multi-objective optimization models (weighted objective model, preemptive goal programming, and compromise programming) under three criteria of cost, marketplace fairness, and the marketplace confidence in determining the winning packages. We develop solutions on the three models and perform a sensitivity analysis to show the options the shipper can use depending on the existing conditions at the point of awarding the transport lanes.

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