ترکیبی از روش های برنامه ریزی در رویکرد برنامه ریزی تولید جامع برای خطوط تولید متوالی
|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|26851||2012||4 صفحه PDF||سفارش دهید||3570 کلمه|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : CIRP Annals - Manufacturing Technology, Volume 61, Issue 1, 2012, Pages 445–448
Medium-term sales and operations as well as medium to short-term production planning in customer order driven production processes are performed using a cascading planning process. A lack of coordination and feedback between different planning phases causes problems with a negative effect on costs in production that originate from unfeasible production programs. Based on a system for the classification of planning restrictions the planning process will be controlled utilizing a newly developed combination of the methods of Linear Programming and Constraint Programming. The result is a formal logic to combine the different planning horizons and the two sets of planning methods.
In the European automotive and mechanical engineering industry an effective management of order processing, in particular regarding data processing and information exchange will be an increasing success factor . In these industrial sectors various systems for sales planning, purchasing, production and supply chain management are employed, which are often poorly synchronized or even incompatible . That entails, it is common to plan the different steps in a chain sequentially while at the same time, in the whole planning process, a broad variety of types and combinations of options have to be considered. One of the planning requirements is a high accuracy concerning i.e. workstations, human resources and material. Currently planning, especially in the automotive sector, but in different industries as well, is conducted in cascades. This poses the problem of a lack of coordination and feedback between the planning steps, which may cause contradictions in the production programs. As a result, short-term troubleshooting has to take place and additional or different resources must be procured . The aim of this paper is to describe a method of achieving a harmonized planning process for sequenced production lines through the combination of planning methods and the timely consideration of constraints of a cascadic planning. The solution presented herein represents a tool with which different domains communicate with each other. The tracking of bottlenecks and timely detection of problems will be ensured, enabling a proper reaction. Therefore Section 2 summarizes the relevant planning processes for order driven production in sequenced production lines. The gap of existing solutions and the reason for the development of the method are depicted. In Section 3 the principles of existing solving algorithms are described and possibilities of an integration of sequencing rules in program planning are shown. Section 4 describes how the planning processes and the combination of program planning and sequencing steps will be executed. Section 5 summarizes the results and gives an outlook to further activities.
نتیجه گیری انگلیسی
This paper presents a comprehensive planning approach for sequenced production lines. A solution for the configuration of rules and for the harmonized planning across different planning horizons has been developed. It is especially user friendly thanks to the interconnection of the planning horizons, since all staff members work in one system across department-borders using a single cross-departmental language. Each violation of restrictions and its cause are being made visible enabling an early and optimal counter-reaction. The benefit of the presented approach for a production system is the coordination and feedback between different planning phases, that prevents problems with unfeasible production programs. Future work will be the implementation of the developed approach with an industrial partner to prove the applicability of the proposed approach and the related benefits for a production system.