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状况，公司被迫专注于核心能力和与供应链中的专业合作伙伴进行密切合作。这些合作伙伴通常具有不同的冲突目标。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。综合计划是一个供应链管理概念，它使供应链的优化能够达到总体目标。在这项研究建议中，将开发针对综合生产和出站分销计划问题的综合计划方法。该研究领域中的大多数现有计划方法都是以低整合水平的生产或运输为导向的这两个子问题。因此，需要概念性和方法学支持来解决综合计划问题。该研究建议的目的是开发一种新的集成计划方法，以高度集成水平和改善的绩效，为重点的供应链中的重点部分开发。针对综合计划方法制定的两种单独策略和许多里程碑定义以达到这一目标。在开发集成计划方法将开始之前，需要生成基本的基础模型。现有的计划方法使用不同的基础模型，从而阻止了整体计划结果的绩效指标的竞争比较。因此，第一个子目标是开发一种评估新计划方法的基本模型，该模型将在本研究项目中开发，并与现有方法进行比较。进化算法的应用是开发综合计划方法的第一个策略。生产计划和运输计划中已经有已知的方法将用于生成起始计划。进化算法基于此启动计划生成并优化替代解决方案，尊重每个子问题的限制。为了评估替代计划，需要合适的功能。第二策略的主要特征是子问题生产计划和运输计划的多阶段分解以及解决问题过程的新结构。从聚类开始，每个子问题将在每个群集中分别解决和优化。随后，为了获得总体集成计划结果，有一个两步的集成程序。最后，将使用基本模型评估开发的集成计划方法。此外，还将进行有关综合计划结果敏感性的其他调查。