Model-Based Planning of Resource Efficient Process Chains Using System Entity Structures
Model-Based Planning of Resource Efficient Process Chains Using System Entity Structures
复制标题
使用系统实体结构的基于模型的资源高效流程链规划
DOI:
10.1007/978-3-642-24491-9_36
复制
发表时间:
2013
期刊:
影响因子:
--
通讯作者:
Hagendorf O.
中科院分区:
文献类型:
--
作者:
Larek R;Brinksmeier E;Pawletta T;Hagendorf O.
Whereas in the past the sustainable use of resources and the reduction of waste have mainly been looked at from an ecological point of view, resource efficiency recently becomes more and more an issue of cost saving as well. Before resource consumption in manufacturing processes can be reduced systematically it is necessary to quantify the amount of resources needed, to identify major consumers and to determine the available degrees of freedom for a reduction. Simulation can be an adequate tool; however, most of the available simulation methods are not suitable for this task. Therefore in close cooperation of production engineering and computer science a new method is being developed to quantify and numerically optimize the resource consumption of manufacturing process chains. In particular, the resources electrical energy, raw material, cooling lubricants and tool wear are taken into consideration. The concept will be demonstrated exemplary in this paper for the consumption of electrical energy.A new, system theoretical approach, the System Entity Structure framework (SES) is utilized to define alternative manufacturing sequences and parameter sets independently of a specific manufacturing task in a meta-model. Furthermore, a model base is used as a library to store specific models for each relevant manufacturing process. The concept of the so-called basis models is based on the discrete-event simulation. It has been adapted to model machining procedures and to generate workpiece-specific resource consumption profiles and footprints.A search and optimization algorithm is able to examine valid combinations of manufacturing processes and parameter sets in the meta-model for user-specific manufacturing tasks. The optimization result is a parameter and structure optimal model of the process chain which is transferable to the real planning task.
DOI:
--
发表时间:
1985
期刊:
Online World Conference on Soft Computing in Industrial Applications
影响因子:
--
作者:
J. Rozenblit;B. Zeigler
通讯作者:
B. Zeigler