Interdisciplinary multi-criteria optimization using hybrid simulation to pursue energy efficiency through production planning

被引：15

作者：

Sihn, Wilfried ^{[1
,2
]}

Sobottka, Thomas ^{[1
,2
]}

Heinzl, Bernhard ^{[3
]}

Kamhuber, Felix ^{[1
,2
]}

机构：

[1] Fraunhofer Austria Res GmbH, Vienna, Austria

[2] TU Wien, Inst Management Sci, Dept Ind & Syst Engn, Vienna, Austria

[3] TU Wien, Inst Comp Engn, Res Div Automat Syst, Vienna, Austria

来源：

CIRP ANNALS-MANUFACTURING TECHNOLOGY | 2018年 / 67卷 / 01期

关键词：

Energy efficiency; Simulation; Optimization;

D O I：

10.1016/j.cirp.2018.04.059

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

An energy-efficient production is imperative and can reduce costs. Despite the acknowledged potential to increase energy efficiency in production systems through production planning and control (PPC), adequate planning methods are lacking. This article presents an interdisciplinary approach for a simulation-based multi-criteria optimization, integrating energy efficiency into PPC objectives. The method considers production equipment together with HVAC and technical building services. It features a novel integrated hybrid discrete/continuous simulation method enabling to accurately capture dynamic interactions between material and energy flows. The approach is evaluated in a case study on the food industry, indicating potential energy efficiency gains of up to 30%. (C) 2018 Published by Elsevier Ltd on behalf of CIRP.

引用

页码：447 / 450

页数：4