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

去除大的产品（XXL-产品：e。G.风能、起重机和输送机系统）包含特殊要求（例如，G.更高的运输成本），这是由于产品的尺寸和复杂性。主要地，这些要求导致高去除成本。分布式拆卸过程不仅基于经济上有效的网络设计，而且基于生态和物流上有效的网络设计，通过整合额外的目标数字（例如，G.产品零件的回收配额、拆卸提前期和网络性能）纳入规划过程。这种规划的主要挑战是确定参数值，例如工厂数量、工厂容量、工厂位置、到产品的距离，以及将活动分配到相关位置。然而，科学的检查，哪些因素是大规模产品的拆卸网络设计的主要驱动力并不存在。本研究项目的目的是开发一个因果模型，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，同时考虑到经济，环境和物流方面。为了实现这一目标，设计这样一个网络的关键因素进行了识别和评估。开发的基础是一个分布式拆卸网络的优化模型。为了求解优化模型，需要一种迭代方法。通过制定和解决各种问题的情况下，在一个问题的情况下，不同因素的影响进行调查。使用启发式解决方案的方法允许时间差或一般的位置规划问题的可解性。本项目的研究问题是，在何种条件下，大型产品的空间分布拆卸网络可以有效地运行，同时实现经济，环境和物流目标数字的良好权衡。该项目是基于这样的假设，即大型产品的空间分布拆卸过程在经济、环境和物流方面都是有利的。

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.