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A planning method for the integrated production and outbound distribution scheduling problem

生产与出库综合调度问题的规划方法

基本信息

批准号：
230762529
负责人：
Professor Dr.-Ing. Bernd Scholz-Reiter
金额：
--
依托单位：
BIBA - Bremer Institut für Produktion und Logistik GmbH an der Universität Bremen
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2013
资助国家：
德国
起止时间：
2012-12-31 至 2015-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/230762529?language=en
关键词：
planning method integrated production outbound

项目摘要

Companies are forced to concentrate on core competencies and a close collaboration with specialized partners in a supply chain due to the competitive situation on global markets. These partners often have different and conflictive goals. Thus, there is only an internal process optimisation and not an optimised planning result for the entire supply chain. Integrated planning is a supply chain management concept which enables a supply chain wide optimisation to reach the overall goals. In this research proposal an integrated planning method for the integrated production and outbound distribution planning problem will be developed. Most of the existing planning methods in this research field are production or transport oriented with a low integration level of these two sub-problems. Thus, there is a need for conceptual and methodological support for solving the integrated planning problem.The goal of this research proposal is the development of a new integrated planning method for the focused part of the supply chain with a high integration level and an improved performance. Two separate strategies for the development of integrated planning methods and a number of milestones are defined to reach this goal. Before the development of integrated planning methods will start, there is a need to generate a basic underlying model. The existing planning methods uses different underlying models, which prevents a competitive comparison of performance indicators of the overall planning results. Therefore, the first sub-goal is the development of a basic model for evaluation of new planning methods, which will be developed in this research project, and the comparison with existing methods.The application of evolutionary algorithms is the first strategy for the development of an integrated planning method. Already known methods from the production scheduling and from transportation planning will be used for generating a starting plan. The evolutionary algorithm generates and optimises alternative solutions based on this starting plan respecting the restriction of each sub-problem. For the evaluation of the alternative plans a suitable function is required.The main characteristics of the second strategy is a multistage decomposition of the sub-problems production scheduling and transportation planning and a new structure for the problem solving process. Starting with a clustering each sub-problem will be solved and optimised separately in each cluster. Subsequently, there is a two step integration procedure in order to obtain an overall integrated planning result. Finally, the integrated planning methods developed will be evaluated using the basic model. Furthermore, there will be additional investigations regarding sensitivity of integrated planning results.

由于全球市场的竞争形势，公司被迫专注于核心竞争力，并与供应链中的专业合作伙伴密切合作。这些合作伙伴往往有不同的和冲突的目标。因此，只有内部流程优化，而不是整个供应链的优化计划结果。集成计划是一种供应链管理概念，它使供应链范围内的优化能够达到总体目标。在本研究建议中，将开发一个集成的生产和出站分配规划问题的集成规划方法。现有的规划方法大多是面向生产或运输的，这两个子问题的集成程度较低。因此，有必要为解决集成规划问题的概念和方法的支持。本研究建议的目标是开发一种新的集成规划方法的重点部分的供应链具有高集成度和提高性能。为实现这一目标，确定了两项单独的战略，以制定综合规划方法和若干里程碑。在开始制定综合规划方法之前，需要建立一个基本的基础模型。现有的规划方法使用不同的基础模型，这妨碍了对总体规划结果的绩效指标进行竞争性比较。因此，第一个子目标是开发一个基本模型，用于评估新的规划方法，这将在本研究项目中开发，并与现有的方法进行比较。进化算法的应用是开发综合规划方法的第一个战略。生产调度和运输规划中已知的方法将用于生成启动计划。进化算法生成和优化的替代解决方案的基础上，这个启动计划尊重每个子问题的限制。第二种策略的主要特点是将生产调度和运输计划的子问题进行多级分解，并提出了一种新的问题求解结构。从聚类开始，每个子问题将在每个聚类中单独解决和优化。随后，有两个步骤的集成过程，以获得整体集成规划的结果。最后，将使用基本模型对开发的综合规划方法进行评估。此外，还将对综合规划结果的敏感性进行更多的调查。