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Development of a causal model for efficient disassembly network design for XXL-products

开发 XXL 产品高效拆卸网络设计的因果模型

基本信息

批准号：
271230719
负责人：
Dr.-Ing. Georg Ullmann
金额：
--
依托单位：
Institut für Fabrikanlagen und Logistik (IFA)
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2015
资助国家：
德国
起止时间：
2014-12-31 至 2017-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/271230719?language=en
关键词：
Development causal model efficient disassembly

项目摘要

The removal of large products (XXL-products: e. g. wind energy, crane, and conveyer systems) contains special requirements (e. g. higher transportation costs), due to the products size and complexity. Mainly, these requirements lead to high removal costs. A distributed disassembly process which is based not only on an economically efficient but also ecologically and logistically efficient network design can be able to decrease removal costs for XXL-products by also allowing integrating additional target figures (e. g. recycling quota of product parts, disassembly lead time, and network performance) into the planning process. The main challenge of such a planning is determining the parameter values for e.g. plant numbers, plant capacities, plant locations, distance to the product, and assigning activities to the relevant locations. Yet, a scientific examination of which factors are the main drivers for a disassembly network design of large-scale products does not exist. This research project aims to develop a causal model which describes the influence of various external factors on the design of a disassembly network for xxl-products by also allowing for economic, environmental and logistical aspects. In order to achieve this goal, crucial factors for designing such a network are identified and evaluated. The basis for the development is an optimization model of a distributed disassembly network. For solving the optimization model a heuristical approach is necessary. Through formulation and solution of various problem instances within a problem scenario the influence of different factors is to be investigated. The use of a heuristic solution approach permits a time-poor or a general solvability of the location planning problem. The research question of this project is which conditions allow an efficiently run spatially distributed disassembly network for large products by also achieving a good tradeoff of economic, environmental and logistical target figures. The project is based on the hypothesis that a spatially distributed disassembly process for large-scale products is economically, environmentally and logistically advantageous.

由于产品的大小和复杂性，移除大型产品(XXL产品：如风能、起重机和输送系统)包含特殊要求(如较高的运输成本)。主要是，这些要求导致了高昂的拆迁成本。分布式拆卸过程不仅基于经济高效的网络设计，而且基于生态和物流高效的网络设计，通过还允许将额外的目标数字(例如，产品部件的回收配额、拆卸提前期和网络性能)整合到计划过程中，能够降低XXL产品的拆卸成本。这种规划的主要挑战是确定工厂编号、工厂产能、工厂位置、到产品的距离等参数值，并将活动分配到相关位置。然而，对于哪些因素是大规模产品拆卸网络设计的主要驱动因素，还不存在科学的检验。该研究项目旨在开发一个因果模型，该模型描述了各种外部因素对XXL产品拆卸网络设计的影响，同时考虑了经济、环境和物流方面的因素。为了实现这一目标，确定和评估了设计这样一个网络的关键因素。开发的基础是分布式拆卸网络的优化模型。对于优化模型的求解，启发式方法是必要的。通过制定和解决一个问题情景中的各种问题实例，调查不同因素的影响。启发式求解方法的使用允许选址规划问题的时间匮乏或一般可解。该项目的研究问题是，在什么条件下，大型产品的空间分布式拆卸网络能够在经济、环境和物流指标之间实现良好的折衷。该项目基于这样的假设，即大规模产品的空间分布式拆卸过程在经济、环境和后勤方面都是有利的。