Decentralized, self-organized rough planning of intralogistics systemswith a multi-agent system

该后续项目旨在通过开发综合布局规划和物料搬运设备选择方法，加强研究项目-多代理系统内部物流系统的分散、自组织粗略规划（DEPIAS）。我们目前假设内部物流系统的布局是按照常规的物料搬运规划流程手工生成的。这意味着物料搬运设备的尺寸和位置是恒定的。基于这些常数值，生成了所开发的多智能体系统的各种概念和解决方案，这些概念和解决方案被分配在一个优先级列表中。在这方面，需要一个基于agent的功能模型来结合布局规划的动态约束和目标。该模型的使用导致可能的解决方案包括所有功能范围，可复制，经济和相互兼容，并考虑到布局规划的经济目标（降低建筑，运输，存储，组织等成本）和功能目标（订单的吞吐量时间，增加透明度等）。

This follow-up project aims to enhance the research project - Decentralized, self-organized rough planning of intralogistics systems with a multi-agent system- (DEPIAS) by developing an integrated layout planning and material handling equipment selection approach. We are currently assuming that the layout of the intralogistics system is in accordance with the conventional material handling planning process manually generated. This means that the Dimensions and Position of material handling equipments are constant. Based on these constant values generats the developed multi-agent system various concepts and solutions, which are assigned in a prioritization list. In this respect, an agent-based function model is required to incorporate dynamic restriction and objectives of the layout planning. The utilization of this model leads to possible solutions which encompass all functional ranges, are replicable, economical and compatible with one another, as well as takes economic objectives (reducing costs for buildings, transport, storage, organization, etc.) and functional objectives (throughput time of orders, increase transparency, etc.) of layout planning into account.