An Analysis of the Impact of Reputation on Supply Webs

In long-term, recurring contractual relationships, which are common in the B2B-area, reputation and trust play an outstanding role. The impact of reputation and price-based assessment of suppliers on the material flow in the supply chain will be investigated in this analysis. Positive reputation proves to be a key factor to reach a market dominating position. We observed in our simulation, that the assessment of suppliers towards a reputation-based choice has a positive effect on supply chain stabilitiy. In the worst case, a strong reputationbased choice leads to the formation of monopolies. The Bullwip-Effect, that could be observed as a second phenomenon in our simulation setting, represents a countertendency to the reputation-based monopoly effect. This countereffect is observed to be even stronger for members of tiers with a high fluctuation of order rates

Economic Analysis of Infrastructure-Decisions

Der Ansatz des Infrastruktur-Netzwerkes bietet eine Möglichkeit, das Entstehen von Netzwerken und die Abhängigkeit von bestimmten Einflüssen auf die Struktur nachzuvollziehen. Trotz der komplexen Struktur scheinen dezentrale Ansätze ihre Berechtigung zu haben. Das deutlich schlechtere Abschneiden des statischen Ansatzes zeigt, wie wichtig Kommunikation zwischen den Akteuren ist. Da die umfangreiche Kommunikation trotz des recht einfachen Entscheidungsverhaltens gute Ergebnisse erzielt, wäre zu untersuchen, wie weit man bei Einschränkung der Kommunikation durch bessere Entscheidungsregeln ähnlich gute Ergebnisse erzielen kann. Die Frage, wie gut ein statischer Ansatz sein kann, ist sicher nicht endgültig beantwortet. Ob jedoch rein statische Ansätze ein realistisches Szenario darstellen und untersucht werden sollten, ist eine Frage, die hier nicht beantwortet werden kann. Das sehr gute Abschneiden von reinen Verbesserungsverfahren lässt auf eine relativ homogene Nachbarschaftsstruktur schließen. Des weiteren war zu beobachten, dass in größeren Netzen der relative Verlust durch Fehlentscheidungen tendenziell geringer ausfällt. Ein Ursache könnte sein, dass die zunehmende Dichte von Netzwerken zu Bündelungseffekten bezüglich der Transportleistungen führen. In einem nächsten Schritt wäre es interessant, intelligentere Entscheidungsregeln von Agenten in einem solchen Umfeld zu testen. Durch geeigneten Einsatz dieser ’internen Intelligenz’ bei eingeschränkter Kommunikation, ist es vielleicht möglich, zu schnelleren und effizienteren Lösungen zu finden, als es mit diesem Ansatz möglich war

Optimization Heuristics for the Combinatorial Auction Problem

This paper presents and compares three heuristics for the combinatorial auction problem. Besides a simple greedy (SG) mechanism, two metaheuristics, a simulated annealing (SA), and a genetic algorithm (GA) approach are developed which use the combinatorial auction process to find an allocation with maximal revenue for the auctioneer. The performance of these three heuristics is evaluated in the context of a price controlled resource allocation process designed for the control and provision of distributed information services. Comparing the SG and SA method shows that depending on the problem structure the performance of the SA is up to 20% higher than the performance of the simple greedy allocation method. The proposed GA approach, using a random key encoding, results in a further improvement of the solution quality. Although the metaheuristic approaches result in higher search performance, the computational effort in terms of used CPU time is higher in comparison to the simple greedy mechanism. However, the absolute overall computation time is low enough to enable real-time execution in the considered IS application domain

Coordination of Supply Webs Based on Dispositive Protocols

A lot of curricula in information systems, also at master level, exists today. However, the strong need in new approaches and new curricula still exists, especially, in European area. The paper discusses the modern curriculum in information systems at master level that is currently under development in the Socrates/Erasmus project MOCURIS. The curriculum is oriented to the students of engineering schools of technical universities. The proposed approach takes into account integration trends in European area as well as the transformation of industrial economics into knowledge-based digital economics The paper presents main characteristics of the proposed curriculum, discuses curriculum development techniques used in the project MOCURIS, describes the architecture of the proposed curriculum and the body of knowledge provided by it

Optimization heuristics for the combinatorial auction problem

This paper presents and compares three heuristics for the combinatorial auction problem. Besides a simple greedy (SG) mechanism, two metaheuristics, a simulated annealing (SA), and a genetic algorithm (GA) approach are developed which use the combinatorial auction process to find an allocation with maximal revenue for the auctioneer. The performance of these three heuristics is evaluated in the context of a price controlled resource allocation process designed for the control and provision of distributed information services. Comparing the SG and SA method shows that depending on the problem structure the performance of the SA is up to 20 % higher than the performance of the simple greedy allocation method. The proposed GA approach, using a random key encoding, results in a further improvement of the solution quality. Although the metaheuristic approaches result in higher search performance, the computational effort in terms of used CPU time is higher in comparison to the simple greedy mechanism. However, the absolute overall computation time is low enough to enable real-time execution in the considered IS application domain.

A model for the emergence and diffusion of software standards

The economic impact of the growth dynamic of standards is often described from a macroeconomic point of view, employing network effect theory and models dealing with externalities. Game-theoretic models try to depict and predict the situation on the microeconomic side. We follow a new approach, which simulates the system’s behavior based on the modeling of a set of individual conduction rules, and their interaction in a closed environment. Implementing such an Agent based Computational Economics approach, using a simulation environment called SWARM, we assume the existence of three firm sizes combined with three types of standards. Each standard has an optimal fit to a firm size, which results in reduced costs according to standardization benefits, whereas other combinations lead to lower savings respectively. In addition we postulate initial standardization cost for internal restructuring measures and different scopes of communication fitted to the three firm types. Each firm can repeatedly decide to standardize in various simulation passes depending on an expected standardization benefit. As an outcome of various simulations, we observe a dominance of the communication standard preferred by the large companies as a function of growing network density. For an increasing communication range the same behavior emerges for all firm types. The model underpins the well known concentration tendency in real worlds’ technology markets