A model for integrating energy management in lean production

A model for integrating energy management in lean production
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将能源管理融入精益生产的模型

DOI:
10.1016/j.procir.2019.04.252
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发表时间:
2019
期刊:
Procedia CIRP
影响因子:
--
通讯作者:
J. Franke
J. Franke
中科院分区:
--
文献类型:
--
作者:
T. Javied;M. Deutsch;J. Franke

文献摘要

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实施可持续生产系统多年来一直是政治、经济和社会努力的重点。由于从化石燃料转向绿色能源,能源成本多年来一直在稳步上升。通过认证的能源或环境管理系统可以减少与能源相关的税收和征税。ISO 50001规定了实施能源管理系统的要求。然而,自2017年以来,ISO 50003要求公司通过指标证明能源效率实际上正在不断提高。到目前为止,只有证明,这表明,一个系统的方法,以减少能源消耗,是足够的基础。然而,现在的重点已经转向能源管理系统的优化。尽管如此,这些规范允许广泛的解释范围。本文包含了一种方法,用于实施能源管理体系,根据该方法,公司可以设计有结构和流程,以满足ISO 50001和其他相关能源管理标准中规定的所有要求。技术,业务和组织的可能性,以及参与人员沿着麦肯锡7S模型被认为是。麦肯锡的7S变革管理工具提供了框架。公司的可持续成功分析使用硬和软因素。在这种情况下,该模型被应用于管理系统。
The implementation of sustainable production systems has been the focus of political, economic and social efforts for years. Due to the switch from fossil fuels to green energies, energy costs have been rising steadily for years. Energy-related taxes and levies can be reduced with a certified energy or environmental management system.ISO 50001 specifies requirements for the implementation of energy management system. Nevertheless, since 2017, ISO 50003 requires companies to demonstrate, by means of indicators, that energy efficiency is actually being continuously improved. Until now, only the proof, which shows that a systematic approach to reduce energy consumption is employed, was sufficient as a basis. However, the focus has now shifted towards the optimization of energy management systems. Nonetheless, these norms allow a wide scope for interpretation.This paper contains a methodology for the implementation of energy management system according to which companies can design there structure and processes to fulfil all the requirements specified in ISO 50001 and the other relevant energy management standards. The technical, business and organizational possibilities as well as the involvement of personnel along the McKinsey 7S model are considered. McKinsey’s 7S change management tool provides the framework. The sustainable success of companies is analyzed using hard and soft factors. In this case, the model is applied to management systems.