scholarly journals Development of a New Green Indicator and Its Implementation in a Cyber–Physical System for a Green Supply Chain

2020 ◽  
Vol 12 (20) ◽  
pp. 8629 ◽  
Author(s):  
Paula Morella ◽  
María Pilar Lambán ◽  
Jesús Royo ◽  
Juan Carlos Sánchez ◽  
Lisbeth del Carmen Ng Corrales
Keyword(s):  
Supply Chain ◽  
Energy Consumption ◽  
Real Time ◽  
Physical System ◽  
Machine Tools ◽  
Industry 4.0 ◽  
Performance Indicator ◽  
Green Supply Chain ◽  
Cyber Physical System ◽  
Key Performance Indicator

This work investigates Industry 4.0 technologies by developing a new key performance indicator that can determine the energy consumption of machine tools for a more sustainable supply chain. To achieve this, we integrated the machine tool indicator into a cyber–physical system for easy and real-time capturing of data. We also developed software that can turn these data into relevant information (using Python): Using this software, we were able to view machine tool activities and energy consumption in real time, which allowed us to determine the activities with greater energy burdens. As such, we were able to improve the application of Industry 4.0 in machine tools by allowing informed real-time decisions that can reduce energy consumption. In this research, a new Key Performance Indicator (KPI) was been developed and calculated in real time. This KPI can be monitored, can measure the sustainability of machining processes in a green supply chain (GSC) using Nakajima’s six big losses from the perspective of energy consumption, and is able to detect what the biggest energy loss is. This research was implemented in a cyber–physical system typical of Industry 4.0 to demonstrate its applicability in real processes. Other productivity KPIs were implemented in order to compare efficiency and sustainability, highlighting the importance of paying attention to both terms at the same time, given that the improvement of one does not imply the improvement of the other, as our results show.

scholarly journals Development of a New KPI for the Economic Quantification of Six Big Losses and Its Implementation in a Cyber Physical System

2020 ◽  
Vol 10 (24) ◽  
pp. 9154
Author(s):  
Paula Morella ◽  
María Pilar Lambán ◽  
Jesús Royo ◽  
Juan Carlos Sánchez ◽  
Jaime Latapia
Keyword(s):  
Real Time ◽  
Physical System ◽  
Performance Indicator ◽  
Cost Model ◽  
Relevant Information ◽  
Cyber Physical System ◽  
Time Data ◽  
Real Time Data ◽  
Different Dimensions ◽  
The Cost

The purpose of this work is to develop a new Key Performance Indicator (KPI) that can quantify the cost of Six Big Losses developed by Nakajima and implements it in a Cyber Physical System (CPS), achieving a real-time monitorization of the KPI. This paper follows the methodology explained below. A cost model has been used to accurately develop this indicator together with the Six Big Losses description. At the same time, the machine tool has been integrated into a CPS, enhancing the real-time data acquisition, using the Industry 4.0 technologies. Once the KPI has been defined, we have developed the software that can turn these real-time data into relevant information (using Python) through the calculation of our indicator. Finally, we have carried out a case of study showing our new KPI results and comparing them to other indicators related with the Six Big Losses but in different dimensions. As a result, our research quantifies economically the Six Big Losses, enhances the detection of the bigger ones to improve them, and enlightens the importance of paying attention to different dimensions, mainly, the productive, sustainable, and economic at the same time.

Perancangan dan Pembuatan Sistem Pelaporan Kinerja Berbasis Online untuk Pranata Komputer

2020 ◽  
Vol 8 (1) ◽  
pp. 91
Author(s):  
Imam Teguh Islamy ◽  
Hanim Maria Astuti ◽  
Radityo Prasetianto Wibowo
Keyword(s):  
Real Time ◽  
Performance Indicator ◽  
Key Performance Indicator

DDalam menjalankan fungsi sebagai penilai kinerja pegawai di ITS, Direktorat Sumber Daya Manusia dan Organisasi (DSDMO) ITS masih menggunakan bentuk penilaian Skala Likertz dalam menilai pencapaian terhadap rincian tugas yang dilmiliki oleh pranata komputer. Hal ini memunculkan permasalahan dalam penentuan penilaian kinerja pegawai dalam hal ini pranata komputer yang masih memiliki tingkat subjektif yang tinggi. Hal ini dapat mempengaruhi penilaian kinerja yang diberikan kepada pranata komputer. Untuk mengurangi tingkat subjektif terhadap penilaian kinerja pranata komputer, dibutuhkan sebuah pengukuran kinerja yang berbasis Key Performance Indicator sehingga kinerja dari pranata komputer dapat diukur secara objektif. Selain itu, dibutuhkan sebuah sistem terintegrasi dalam proses pelaporan kinerja pranata komputer agar kinerja dari pranata komputer dapat dipantau secara real-time dan dapat mengetahui tingkat pencapaian kinerja dari pranata komputer.Kata-Kata Kunci: Pranata komputer, Kinerja, Key Performance Indicator, Sistem Pelaporan Kinerja, Dash­board.

The Influencing Factors Analysis of Implementing Green Supply Chain Based on the Investigation Data in Shandong Province of China

2013 ◽  
Vol 671-674 ◽  
pp. 3049-3054
Author(s):  
Cao Qian ◽  
Xi Jian Quan ◽  
Yu Yan Wang
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Energy Consumption ◽  
Product Design ◽  
Influencing Factors ◽  
Shandong Province ◽  
Raw Material ◽  
Green Supply Chain ◽  
Manufacturing Enterprises ◽  
Factors Analysis

On the basis of investigation and research, we firstly determined factors that impact manufacturing enterprises to implement green supply chain. Then, based on data of Parts of manufacturing enterprises in Shandong Province implementing green supply chain, the influencing factors of manufacturing enterprises implementing green supply chain is analyzed by factor analysis. The conclusion show that the influencing factors mainly concentrates in seven aspects that is raw material purchase, the enterprise internal management, the worn recycling, the product design, the enterprise prestige, the enterprise energy consumption, the reject processes.

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