Abstract — This paper presents a decentralized negotiation pro-tocol for cooperative economic scheduling in a supply chain environment. For this purpose we designed autonomous agents, which maximize their profits by optimizing their local schedule and offer side payments to compensate other agents for lost profit or extra expense if a cumulative profit is achievable. To further increase their income the agents have to apply a randomized local search heuristic to prevent the negotiation from stopping in locally optimal contracts. We show that the welfare could be increased by using a Simulated Annealing like search strategy. Unfortunately, a naı̈ve application of this strategy makes the agents vulnerable to exploitation by untruthful partner...
This paper is concerned with inter-company scheduling between manufacturers of similar products who ...
Abstract. Decentralised supply chain formation involves determining the set of producers within a ne...
The first part of this paper (Lau, J.S.K., Huang, G.Q. and Mak, K.L., Distributed project scheduling...
Abstract — This paper presents a decentralized negotiation protocol for cooperative economic schedul...
This paper presents a decentralized cooperative economic scheduling mechanism for a supply chain env...
The focus of this paper is the design of a mechanism to help economic agents - either autonomously o...
Scheduling is the problem of allocating resources to alternate possible uses over designated periods...
In order to effectively respond to changing market conditions, business partners must be able to rap...
We are interested in building intelligent, autonomous software agents that can relieve human users f...
Engineering automated negotiation across the supply chain is a cen-tral research challenge for the i...
Businesses deal with huge databases over a geographically distributed supply network. When this is c...
Subcontracting allows manufacturer agents to reduce completion times of their jobs and thus obtain s...
We address the mechanism design problem of supply chain formation—the problem of ne-gotiation mechan...
This paper deals with decentralized decision-making situations in which firms outsource production o...
Supply chain formation involves determining the participants and the exchange of goo...
This paper is concerned with inter-company scheduling between manufacturers of similar products who ...
Abstract. Decentralised supply chain formation involves determining the set of producers within a ne...
The first part of this paper (Lau, J.S.K., Huang, G.Q. and Mak, K.L., Distributed project scheduling...
Abstract — This paper presents a decentralized negotiation protocol for cooperative economic schedul...
This paper presents a decentralized cooperative economic scheduling mechanism for a supply chain env...
The focus of this paper is the design of a mechanism to help economic agents - either autonomously o...
Scheduling is the problem of allocating resources to alternate possible uses over designated periods...
In order to effectively respond to changing market conditions, business partners must be able to rap...
We are interested in building intelligent, autonomous software agents that can relieve human users f...
Engineering automated negotiation across the supply chain is a cen-tral research challenge for the i...
Businesses deal with huge databases over a geographically distributed supply network. When this is c...
Subcontracting allows manufacturer agents to reduce completion times of their jobs and thus obtain s...
We address the mechanism design problem of supply chain formation—the problem of ne-gotiation mechan...
This paper deals with decentralized decision-making situations in which firms outsource production o...
Supply chain formation involves determining the participants and the exchange of goo...
This paper is concerned with inter-company scheduling between manufacturers of similar products who ...
Abstract. Decentralised supply chain formation involves determining the set of producers within a ne...
The first part of this paper (Lau, J.S.K., Huang, G.Q. and Mak, K.L., Distributed project scheduling...