Determining and Applying Productive, Environmental and Economical Indicators and Indexes to a Cyber Physical System for Greening Process of Supply Chain

Paula Morella; María Pilar Lambán; Jesús Royo; Juan Carlos Sánchez; Mario Enrique Hernández Korner

doi:10.1007/978-3-030-68655-0_1

Determining and Applying Productive, Environmental and Economical Indicators and Indexes to a Cyber Physical System for Greening Process of Supply Chain

Paula Morella^*
, María Pilar Lambán
, Jesús Royo
, Juan Carlos Sánchez
, Mario Enrique Hernández Korner

^*Corresponding author for this work

GS

University of Zaragoza
Technological University of Panama

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

Sustainability is taking on increasing value in the industrial world. This article aims to develop and implement in a cyber-physical system two new KPIs capable of transferring the current concept of Supply Chain (SC) to a Green Supply Chain (GSC), which no longer addresses only the productive and economic issues of traditional SC, but also addresses issues of sustainability, relying on industry 4.0 to achieve this goal. Each KPI has a different function within this process. The first one allows selecting the most adequate scenario to be implemented in the SC from all those proposed, attending to these three issues at the same time (productive, economic and environmental). The second allows the monitoring, at the same time, of the machine tool in these three dimensions, so that, it is possible to analyze throughout the production period of the machine its productive, economic and environmental evolution.

Original language	English
Title of host publication	Lecture Notes in Intelligent Transportation and Infrastructure
Publisher	Springer Nature
Pages	3-20
Number of pages	18
DOIs	https://doi.org/10.1007/978-3-030-68655-0_1
Publication status	Published - 2021

Publication series

Name	Lecture Notes in Intelligent Transportation and Infrastructure
Volume	Part F1390
ISSN (Print)	2523-3440
ISSN (Electronic)	2523-3459

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure
SDG 12 Responsible Consumption and Production

Keywords

Cyber-physical system
Green supply chain
Industry 4.0
Internet of things
KPI

Access to Document

10.1007/978-3-030-68655-0_1

Cite this

Morella, P., Lambán, M. P., Royo, J., Sánchez, J. C., & Hernández Korner, M. E. (2021). Determining and Applying Productive, Environmental and Economical Indicators and Indexes to a Cyber Physical System for Greening Process of Supply Chain. In Lecture Notes in Intelligent Transportation and Infrastructure (pp. 3-20). (Lecture Notes in Intelligent Transportation and Infrastructure; Vol. Part F1390). Springer Nature. https://doi.org/10.1007/978-3-030-68655-0_1

Morella, Paula ; Lambán, María Pilar ; Royo, Jesús et al. / Determining and Applying Productive, Environmental and Economical Indicators and Indexes to a Cyber Physical System for Greening Process of Supply Chain. Lecture Notes in Intelligent Transportation and Infrastructure. Springer Nature, 2021. pp. 3-20 (Lecture Notes in Intelligent Transportation and Infrastructure).

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abstract = "Sustainability is taking on increasing value in the industrial world. This article aims to develop and implement in a cyber-physical system two new KPIs capable of transferring the current concept of Supply Chain (SC) to a Green Supply Chain (GSC), which no longer addresses only the productive and economic issues of traditional SC, but also addresses issues of sustainability, relying on industry 4.0 to achieve this goal. Each KPI has a different function within this process. The first one allows selecting the most adequate scenario to be implemented in the SC from all those proposed, attending to these three issues at the same time (productive, economic and environmental). The second allows the monitoring, at the same time, of the machine tool in these three dimensions, so that, it is possible to analyze throughout the production period of the machine its productive, economic and environmental evolution.",

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Morella, P, Lambán, MP, Royo, J, Sánchez, JC & Hernández Korner, ME 2021, Determining and Applying Productive, Environmental and Economical Indicators and Indexes to a Cyber Physical System for Greening Process of Supply Chain. in Lecture Notes in Intelligent Transportation and Infrastructure. Lecture Notes in Intelligent Transportation and Infrastructure, vol. Part F1390, Springer Nature, pp. 3-20. https://doi.org/10.1007/978-3-030-68655-0_1

Determining and Applying Productive, Environmental and Economical Indicators and Indexes to a Cyber Physical System for Greening Process of Supply Chain. / Morella, Paula; Lambán, María Pilar; Royo, Jesús et al.
Lecture Notes in Intelligent Transportation and Infrastructure. Springer Nature, 2021. p. 3-20 (Lecture Notes in Intelligent Transportation and Infrastructure; Vol. Part F1390).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Determining and Applying Productive, Environmental and Economical Indicators and Indexes to a Cyber Physical System for Greening Process of Supply Chain

AU - Morella, Paula

AU - Lambán, María Pilar

AU - Royo, Jesús

AU - Sánchez, Juan Carlos

AU - Hernández Korner, Mario Enrique

PY - 2021

Y1 - 2021

N2 - Sustainability is taking on increasing value in the industrial world. This article aims to develop and implement in a cyber-physical system two new KPIs capable of transferring the current concept of Supply Chain (SC) to a Green Supply Chain (GSC), which no longer addresses only the productive and economic issues of traditional SC, but also addresses issues of sustainability, relying on industry 4.0 to achieve this goal. Each KPI has a different function within this process. The first one allows selecting the most adequate scenario to be implemented in the SC from all those proposed, attending to these three issues at the same time (productive, economic and environmental). The second allows the monitoring, at the same time, of the machine tool in these three dimensions, so that, it is possible to analyze throughout the production period of the machine its productive, economic and environmental evolution.

AB - Sustainability is taking on increasing value in the industrial world. This article aims to develop and implement in a cyber-physical system two new KPIs capable of transferring the current concept of Supply Chain (SC) to a Green Supply Chain (GSC), which no longer addresses only the productive and economic issues of traditional SC, but also addresses issues of sustainability, relying on industry 4.0 to achieve this goal. Each KPI has a different function within this process. The first one allows selecting the most adequate scenario to be implemented in the SC from all those proposed, attending to these three issues at the same time (productive, economic and environmental). The second allows the monitoring, at the same time, of the machine tool in these three dimensions, so that, it is possible to analyze throughout the production period of the machine its productive, economic and environmental evolution.

KW - Cyber-physical system

KW - Green supply chain

KW - Industry 4.0

KW - Internet of things

KW - KPI

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M3 - Chapter

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T3 - Lecture Notes in Intelligent Transportation and Infrastructure

SP - 3

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BT - Lecture Notes in Intelligent Transportation and Infrastructure

PB - Springer Nature

ER -

Morella P, Lambán MP, Royo J, Sánchez JC, Hernández Korner ME. Determining and Applying Productive, Environmental and Economical Indicators and Indexes to a Cyber Physical System for Greening Process of Supply Chain. In Lecture Notes in Intelligent Transportation and Infrastructure. Springer Nature. 2021. p. 3-20. (Lecture Notes in Intelligent Transportation and Infrastructure). doi: 10.1007/978-3-030-68655-0_1

Determining and Applying Productive, Environmental and Economical Indicators and Indexes to a Cyber Physical System for Greening Process of Supply Chain

Abstract

Publication series

UN SDGs

Keywords

Access to Document

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