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Measuring energy efficiency performance of equipments, processes and factories is the first step to effective energy management in production. Thus, enabled energy-related information allows the assessment of the progress of manufacturing companies toward their energy efficiency goals. In that respect, the study addresses this challenge where current industrial approaches lack the means and appropriate performance indicators to compare energy-use profiles of machines and processes, and for the comparison of their energy efficiency performance to that of competitors’. Focusing on this challenge, the main objective of the paper is to present a method which supports manufacturing companies in the development of energy-based performance indicators. For this purpose, we provide a 7-step method to develop production-tailored and energy-related key performance indicators (e-KPIs). These indicators allow the interpretation of cause-effect relationships and therefore support companies in their operative decision-making process. Consequently, the proposed method supports the identification of weaknesses and areas for energy efficiency improvements related to the management of production and operations. The study therefore aims to strengthen the theoretical base necessary to support energy-based decision making in manufacturing industries

In a near future where manufacturing companies are faced with the rapid technological developments of Cyber-Physical Systems (CPS) and Industry 4.0, a need arises to consider how this will affect human operators remaining as a vital and important resource in modern production systems. What will the implications of these orchestrated and ubiquitous technologies in production -a concept we call Cyber-Physical Production Systems (CPPS) -be on the health, learning and operative performance of human workers? This paper makes three main contributions to address the question. First, it synthesizes the diverse literature regarding CPS and social sustainability in production systems. Second, it conceptualizes a holistic framework, the CyFL Matrix, and outlines a guideline to analyze how the functionalities of a CPPS relate to operational and social sustainability-related performance impacts at different levels of analysis. Finally, it presents an industrial use case, which the CyFL Matrix and the related guidelines are applied to. In doing so, the study offers first support to researchers and manager of manufacturing companies willing to define suitable operational and social sustainability-related performances for Humancentric Cyber-Physical Production Systems of the future.

Abstract.Better monitoring and control of energy consumption and effective use of performance indicators are of utmost important for achieving improved energy efficiency performance in manufacturing for current and future enterprises. This paper aims at analyzing the current state of the art on energy related production performance indicators to derive research gaps and industrial needs in the area. The research has been conducted as preliminary step before a comprehensive effort in which the authors suggest a new methodology to develop energy related key performance indicators. Therefore, the study resulted in a clearer understanding and synthesis of the research field, gaps in scientific literature and industrial needs, hence guiding further research.

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