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Journal ArticleDOI

A generic coordination mechanism for lot-sizing in supply chains

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TLDR
Experimental results show that the proposed mechanism is effective to determine fair cost distributions in a supply chain.
Abstract
A new generic mechanism to coordinate decentral planning of a group of independent and self-interested decision makers, who are searching for an agreeable contract regarding multiple interdependent issues, in the case of asymmetric information is presented. The basic idea of the mechanism is that the group members cooperatively carry out an evolutionary search in the contract space. Therefore the (1,?)-selection procedure, which is used in many evolutionary strategies, is combined with the Borda maximin voting rule, which has been applied successfully in group decision making. The proposed mechanism is realized, applied and evaluated for production coordination in a supply chain. A decentralized variant of the multi-level uncapacitated lot-sizing problem (MLULSP) is taken as the production model. For the evaluation 95 problem instances are generated based on MLULSP instances taken from the literature, with problem sizes varying from 5 to 500 items, from 12 to 52 periods. Experimental results show that the proposed mechanism is effective to determine fair cost distributions.

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Journal ArticleDOI

Modeling of Biological Intelligence for SCM System Optimization

TL;DR: Some methods from biological intelligence for modeling and optimization of supply chain management (SCM) systems, including genetic algorithms, evolutionary programming, differential evolution, swarm intelligence, artificial immune, and other biological intelligence related methods are summarized.
Journal ArticleDOI

Learning from the Metaheuristics: Protocols for Automated Negotiations

TL;DR: This study presents and evaluates two configurable protocols for multi-issue negotiations, which are inspired by general heuristic optimization algorithms for centralized problems, so-called metaheuristics, and finds that both protocols adequately comply with the requirements.
Journal ArticleDOI

An ant-based coordination mechanism for resource-constrained project scheduling with multiple agents and cash flow objectives

TL;DR: The proposed mechanism turns out as an effective method for coordinating self-interested agents with conflicting goals which collaborate in resource-constrained projects.
Journal ArticleDOI

A collaborative ant colony metaheuristic for distributed multi-level lot-sizing

TL;DR: An ant colony optimization metaheuristic for collaborative planning that clearly outperforms existing approaches on the sets of medium- and large-sized instances and reduces the average deviation to 7%.
Journal ArticleDOI

Coordination mechanisms with mathematical programming models for decentralized decision-making, a literature review

TL;DR: This document aims to offer a systematic review of the collaborative planning in the last decade on the mechanisms of coordination in mathematical programming models that allow us to position existing concepts and identify areas where more research is needed.
References
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Book ChapterDOI

Individual Comparisons by Ranking Methods

TL;DR: The comparison of two treatments generally falls into one of the following two categories: (a) a number of replications for each of the two treatments, which are unpaired, or (b) we may have a series of paired comparisons, some of which may be positive and some negative as mentioned in this paper.
Journal ArticleDOI

The Bargaining Problem

John F. Nash
- 01 Apr 1950 - 
TL;DR: In this paper, a new treatment is presented of a classical economic problem, one which occurs in many forms, as bargaining, bilateral monopoly, etc It may also be regarded as a nonzero-sum two-person game in which a few general assumptions are made concerning the behavior of a single individual and of a group of two individuals in certain economic environments.
Book

Getting to Yes: Negotiating Agreement Without Giving in

TL;DR: The world's bestselling guide to negotiation is the Getting to Yes as mentioned in this paper, which simplifies the whole negotation process, offering a highly effective framework that will ensure success, including principles such as: Don't bargain over positions Separate the people from the problem and insist on objective criteria.
Book

Multiagent Systems : A Modern Approach to Distributed Artificial Intelligence

TL;DR: This is the first comprehensive introduction to multiagent systems and contemporary distributed artificial intelligence and will be a useful reference not only for computer scientists and engineers, but for social scientists and management and organization scientists as well.
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