Automated negotiations of supply contracts for flexible production networks

Neubert, R.; Görlitz, Otmar; Teich, Tobias

doi:10.1016/s0925-5273(03)00043-4

Cited by 35 publications

(17 citation statements)

References 9 publications

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“…To solve this problem, we have decided to use the method proposed in [28]. The idea is to change the values of various attributes and to balance to the same utility value of the first offer by adjusting the cost.…”

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confidence: 99%

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Multiple equivalent simultaneous offers strategy in an agent-based grid resource brokering system - initial considerations

Attaoui¹,

Ganzha²,

Paprzycki³

et al. 2013

SCPE

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Abstract. The Agent in Grid (AiG) project attempts to integrate the concept of the Grid and an agent-based system to facilitate efficient resource management in the Grid. In this paper, we present preliminary considerations concerning multiple equivalent simultaneous offers strategy that can be used in the Service Level Agreement (SLA) negotiations. These negotiations are the key part of the main use case scenarios within the AiG project. In this context, first, we describe the AiG system. Second, we introduce the simultaneous offer strategy, as a mechanism known from economy, and suggest an approach for using it in the AiG negotiations.Key words: Grid computing, multiple equivalent simultaneous offers, AiG, agent-based negotiations, SLA, multi-attribute negotiations 1. Introduction. The context for the presented work is provided by the Agents in Grid project (AiG; [16,17,23]) that aims at creating a management system for the Grid computing resources. The system utilizes the concept of software agents that can act flexibly in a dynamic and uncertain environment, where resources can appear and disappear at any time. Furthermore, the AiG project integrates business principles, by allowing users to earn money by offering resources, or to pay for the use of available resources. The key part of the realization of this economic model is the negotiation process that should lead to contracts beneficial to the engaged parties. In the AiG project, negotiations materialize in the two main scenarios: (i) when the user would like to execute her job and is searching for resources that satisfy her needs, (ii) when a resource owner is seeking a team to join, to earn money. Here, we are confronted with one of the key assumptions behind the AiG project. Based on the analysis of working conditions of volunteer systems (e.g. seti@home; [32]), and taking into account progress in the development of agent systems (their capability for autonomously reaching an agreement [33]) it was stipulated that agents that offer their resources to earn money should work in teams. In this way, teams should be able to deliver results even if some members disappear without warning (for more details, see [16]).Observe that negotiations taking place in the AiG project have to take into account multiple attributes. In an example given in [23] simple job execution negotiations involved simultaneous evaluation of price, job start time and job end time. Currently, after the AiG ontology was fully developed (see, [22] for more details), truly multi-criterial negotiations can be used. Note that in both negotiation scenarios introduced above, the negotiation strategy is constrained by the following conditions: (1) no information about the preferences of the other participant(s) in the negotiation, and (2) the agreement reached should be optimal to both negotiating parties.Let us observe that recent studies in social psychology and economics [1,2] have shown that using a strategy based on multiple offers is more profitable than a strategy based on a single offe...

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Section: <!−− H T T P : / / G R I D a G E N T S S O U R C E F O R G E N E T / A I G C O N D I T I O N S O N T O L O G Y # P R I C I N Gmentioning

confidence: 99%

“…confirmed in [5] the effectiveness of a novel strategy based on simultaneous equivalent offers to make a significant positive impact on both the economic and social-psychological outcomes of negotiations. Authors of [28] opt for multiple offers to decrease the number of negotiation rounds. They exposed the difficulties of generating multiple equivalent offers.…”

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confidence: 99%

Multiple equivalent simultaneous offers strategy in an agent-based grid resource brokering system - initial considerations

Attaoui¹,

Ganzha²,

Paprzycki³

et al. 2013

SCPE

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“…Zhang and Xi present a decision support system framework for the partner choice and measurement (Zhang and Xi 2005). Neubert et al proposed a software agent, capable of conducting an automated negotiation in order to assist the human decision-maker in an environment consisting of small independent units (Neubert et al 2004). Wang et al presented the architecture of Weboriented Warfare Command DSS (Wang et al 2005).…”

Section: State Of the Artmentioning

confidence: 99%

Multi Agent Systems Combined with Semantic Technologies for Automated Negotiation in Virtual Enterprises

Koppensteiner¹,

Merdan²,

Lepuschitz³

et al. 2011

Multi-Agent Systems - Modeling, Control, Programming, Simulations and Applications

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“…Relationship between the aspects (price, amount etc…) being negotiated was not defined, and the prospective supply chain partners were strictly restricted by the knowledge database. Neubert R. et al (2003) proposed a method of automated negotiations of supply contracts for flexible production networks that transform all aspects of negotiations into a common comparable aspect (3) . As a result, the agents being utilized are capable to negotiate any type of product.…”

Section: Previous Researches On Supply Chain Modelmentioning

confidence: 99%

A Framework of Multi Objectives Negotiation for Dynamic Supply Chain Model

Chai

Sakaguchi

Shirase

2010

JAMDSM

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Trends of globalization and advances in Information Technology (IT) have created opportunity in collaborative manufacturing across national borders. A dynamic supply chain utilizes these advances to enable more flexibility in business cooperation. This research proposes a concurrent decision making framework for a three echelons dynamic supply chain model. The dynamic supply chain is formed by autonomous negotiation among agents based on multi agents approach. Instead of generating negotiation aspects (such as amount, price and due date) arbitrary, this framework proposes to utilize the information available at operational level of an organization in order to generate realistic negotiation aspect. The effectiveness of the proposed model is demonstrated by various case studies.

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Automated negotiations of supply contracts for flexible production networks

Cited by 35 publications

References 9 publications

Multiple equivalent simultaneous offers strategy in an agent-based grid resource brokering system - initial considerations

Multiple equivalent simultaneous offers strategy in an agent-based grid resource brokering system - initial considerations

Multi Agent Systems Combined with Semantic Technologies for Automated Negotiation in Virtual Enterprises

A Framework of Multi Objectives Negotiation for Dynamic Supply Chain Model

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