A hybrid multi-agent negotiation protocol supporting supplier selection for multiple products with synergy effect

2016 ◽  
Vol 55 (1) ◽  
pp. 18-37 ◽  
Author(s):  
Chunxia Yu ◽  
T.N. Wong ◽  
Zhi Li
2018 ◽  
Vol 96 ◽  
pp. 10-26 ◽  
Author(s):  
Jinghua Li ◽  
Miaomiao Sun ◽  
Duanfeng Han ◽  
Xiaoyuan Wu ◽  
Boxin Yang ◽  
...  

2014 ◽  
Vol 15 (1) ◽  
pp. 5-13
Author(s):  
Egons Lavendelis ◽  
Janis Grundspenkis

Abstract The paper presents a simulation tool for automated interactions between insurance companies and their clients during the travel insurance buying process. Insurance deal evaluation model using price and insured risks has been developed based on the study of the Latvian insurance market. The proposed model is used together with well-known agent auction protocols, thus providing a multi-agent negotiation protocol. It allows automating one-to-many negotiations between client and insurance companies simulating electronic insurance policy marketplace. The simulation tool has been developed using the MASITS methodology and tool, thus providing a case study for the methodology and tool for a new type of systems


2004 ◽  
Vol 8 (1) ◽  
pp. 5-45 ◽  
Author(s):  
Samir Aknine ◽  
Suzanne Pinson ◽  
Melvin F. Shakun

2019 ◽  
Vol 259 ◽  
pp. 04004
Author(s):  
Muoyleang Sambatt ◽  
Chirawat Woarawichai ◽  
Thanakorn Naenna

This study focuses on inventory lot sizing for supplier selection of multiple products; suppliers and periods with storage space constraint. The objective is to develop mathematical model. Lingo software program is used as solution tool. The proposed problem is found as mix integer linear programming (MILP) which beneficial for decision making of choosing optimal supplier and product in right period of time with minimum overall inventory cost.


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