智能物流评估的可持续性关键绩效指标选择

IF 0.8 Q4 ENGINEERING, INDUSTRIAL
R. Lenort, P. Wicher, Andrea Samolejová, Helmut E. Zsifkovits, Chaira Raith, Philipp Miklautsch, J. Pelikánová
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引用次数: 0

摘要

智能技术和应用在公司和供应链的物流过程中越来越普遍。然而,标准物流指标仍然被用来评估其绩效,这与许多工业企业及其供应链的可持续发展战略相矛盾。因此,本文旨在设计一种方法来选择适合评估智能物流及其技术和应用的可持续性关键绩效指标。该研究依赖于相关文献中推荐的SKPI的聚类分析、实践中使用的指标的频率分析及其比较。聚类分析表明,参考文献主要关注可持续性的经济和环境层面。最常见的情况是,作者强调了以下指标的重要性:与生产相关的成本和投资、规划绩效和质量、客户满意度、能源效率、废物强度和处理、排放和资源效率。相反,频率分析证实,领先的工业企业或多或少平衡地关注可持续性的所有领域,但在公司层面。这篇文章的主要结果构成了一种方法,包括六个步骤,尊重所进行分析的结果:(1)可持续性目标的定义;(2) 建立SKPI集群池;(3) 定义选择SKPI集群的标准;(4) SKPI集群的选择;(5) SKPI及其参数的定义;(6)SKPI层次结构的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SELECTING SUSTAINABILITY KEY PERFORMANCE INDICATORS FOR SMART LOGISTICS ASSESSMENT
The application of smart technologies and applications is becoming increasingly common in the logistics processes of companies and supply chains. However, standard logistics indicators are still used to evaluate their performance, which contradicts the sustainable development strategy of many industrial enterprises and their supply chains. Thus, the article aims to design a methodology for selecting sustainability key performance indicators (SKPIs) suitable for assessing smart logistics and its technologies and applications. The research relies on cluster analysis of the SKPIs recommended in the relevant literature, frequency analysis of indicators used in practice and their comparison. The cluster analysis showed that the primary attention in the references is given to sustainability’s economic and environmental dimensions. Most frequently, the authors highlighted the importance of the following indicators: production-related costs and investments, planning performance and quality, customer satisfaction, energy efficiency, waste intensity and treatment, emissions, and resource efficiency. On the contrary, the frequency analysis corroborated that leading industrial enterprises paid more-or-less balanced attention to all areas of sustainability, but at the company level. The article’s primary result constitutes a methodology comprising six steps, respecting the results of the analyses carried out: (1) Sustainability objectives definition; (2) Establishing SKPIs cluster pool; (3) Definition of criteria for selecting SKPIs clusters; (4) Selection of SKPIs clusters; (5) Definition of SKPIs and their parameters; and (6) Development of SKPIs hierarchical structure.
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来源期刊
Acta Logistica
Acta Logistica Engineering-Industrial and Manufacturing Engineering
CiteScore
1.80
自引率
28.60%
发文量
36
审稿时长
4 weeks
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