Integrating LCA and Regression Modeling for Sustainable Supply Chain Decisions: A Case Study on Antibacterial Gel

Pablo Flores-Siguenza; Juan Llivisaca-Villazhañay; Marlon Moscoso-Martínez; Rodrigo Guamán

doi:10.1007/978-3-032-12999-4_17

Integrating LCA and Regression Modeling for Sustainable Supply Chain Decisions: A Case Study on Antibacterial Gel

Escuela Superior Politécnica de Chimborazo
Universidad Internacional de La Rioja

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

Abstract

Sustainable production has become a priority for industry and policymakers driven by the urgent need to address environmental pressures such as global warming, declining natural resources, and stricter sustainability policies. Life Cycle Assessment (LCA) has become an essential method for measuring the ecological footprint of products across their entire life cycle. This study applies LCA to an antibacterial gel supply chain, based on real data from a Mexican company, following the ISO 14040/44 framework, using GaBi software and the ReCiPe 2016 methodology. The analysis covers three distinct scenarios to assess environmental impacts at both midpoint and endpoint stages: the entire supply chain, the upstream phases of extraction and manufacturing, and the logistics component. Results reveal that climate change, fossil depletion, and terrestrial ecotoxicity are the most critical impact categories, with raw material sourcing contributing approximately 99% of the total burden. A regression model is also developed to estimate transport-related emissions based on quantity and distance. The study offers actionable insights for reducing environmental impacts in hygiene product manufacturing and demonstrates the value of LCA for guiding sustainable supply chain decisions.

Original language	English
Title of host publication	Information Systems for Intelligent Systems - Proceedings of ISBM 2025
Editors	Thittaporn Ganokratanaa, Narendra D. Londhe, Amit Joshi, Meelis Kitsing
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	195-204
Number of pages	10
ISBN (Print)	9783032129987
DOIs	https://doi.org/10.1007/978-3-032-12999-4_17
State	Published - 2026
Event	4th World Conference on Information Systems for Business Management, ISBM 2025 - Bangkok, Thailand Duration: 24 Sep 2025 → 26 Sep 2025

Publication series

Name	Smart Innovation, Systems and Technologies
Volume	468 SIST
ISSN (Print)	2190-3018
ISSN (Electronic)	2190-3026

Conference

Conference	4th World Conference on Information Systems for Business Management, ISBM 2025
Country/Territory	Thailand
City	Bangkok
Period	24/09/25 → 26/09/25

UN SDGs

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

SDG 7 Affordable and Clean Energy
SDG 9 Industry, Innovation, and Infrastructure
SDG 12 Responsible Consumption and Production
SDG 13 Climate Action
SDG 17 Partnerships for the Goals

Keywords

Antibacterial Gel
Environmental Impact Assessment
Life Cycle Assessment
Sustainable Supply Chain

Access to Document

10.1007/978-3-032-12999-4_17

Cite this

Flores-Siguenza, P., Llivisaca-Villazhañay, J., Moscoso-Martínez, M., & Guamán, R. (2026). Integrating LCA and Regression Modeling for Sustainable Supply Chain Decisions: A Case Study on Antibacterial Gel. In T. Ganokratanaa, N. D. Londhe, A. Joshi, & M. Kitsing (Eds.), Information Systems for Intelligent Systems - Proceedings of ISBM 2025 (pp. 195-204). (Smart Innovation, Systems and Technologies; Vol. 468 SIST). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-032-12999-4_17

Flores-Siguenza, Pablo ; Llivisaca-Villazhañay, Juan ; Moscoso-Martínez, Marlon et al. / Integrating LCA and Regression Modeling for Sustainable Supply Chain Decisions : A Case Study on Antibacterial Gel. Information Systems for Intelligent Systems - Proceedings of ISBM 2025. editor / Thittaporn Ganokratanaa ; Narendra D. Londhe ; Amit Joshi ; Meelis Kitsing. Springer Science and Business Media Deutschland GmbH, 2026. pp. 195-204 (Smart Innovation, Systems and Technologies).

@inproceedings{3975a0aca79240ae9fa9b6c4defb6d90,

title = "Integrating LCA and Regression Modeling for Sustainable Supply Chain Decisions: A Case Study on Antibacterial Gel",

abstract = "Sustainable production has become a priority for industry and policymakers driven by the urgent need to address environmental pressures such as global warming, declining natural resources, and stricter sustainability policies. Life Cycle Assessment (LCA) has become an essential method for measuring the ecological footprint of products across their entire life cycle. This study applies LCA to an antibacterial gel supply chain, based on real data from a Mexican company, following the ISO 14040/44 framework, using GaBi software and the ReCiPe 2016 methodology. The analysis covers three distinct scenarios to assess environmental impacts at both midpoint and endpoint stages: the entire supply chain, the upstream phases of extraction and manufacturing, and the logistics component. Results reveal that climate change, fossil depletion, and terrestrial ecotoxicity are the most critical impact categories, with raw material sourcing contributing approximately 99\% of the total burden. A regression model is also developed to estimate transport-related emissions based on quantity and distance. The study offers actionable insights for reducing environmental impacts in hygiene product manufacturing and demonstrates the value of LCA for guiding sustainable supply chain decisions.",

keywords = "Antibacterial Gel, Environmental Impact Assessment, Life Cycle Assessment, Sustainable Supply Chain",

author = "Pablo Flores-Siguenza and Juan Llivisaca-Villazha{\~n}ay and Marlon Moscoso-Mart{\'i}nez and Rodrigo Guam{\'a}n",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.; 4th World Conference on Information Systems for Business Management, ISBM 2025 ; Conference date: 24-09-2025 Through 26-09-2025",

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Flores-Siguenza, P , Llivisaca-Villazhañay, J, Moscoso-Martínez, M & Guamán, R 2026, Integrating LCA and Regression Modeling for Sustainable Supply Chain Decisions: A Case Study on Antibacterial Gel. in T Ganokratanaa, ND Londhe, A Joshi & M Kitsing (eds), Information Systems for Intelligent Systems - Proceedings of ISBM 2025. Smart Innovation, Systems and Technologies, vol. 468 SIST, Springer Science and Business Media Deutschland GmbH, pp. 195-204, 4th World Conference on Information Systems for Business Management, ISBM 2025, Bangkok, Thailand, 24/09/25. https://doi.org/10.1007/978-3-032-12999-4_17

Integrating LCA and Regression Modeling for Sustainable Supply Chain Decisions: A Case Study on Antibacterial Gel. / Flores-Siguenza, Pablo ; Llivisaca-Villazhañay, Juan; Moscoso-Martínez, Marlon et al.
Information Systems for Intelligent Systems - Proceedings of ISBM 2025. ed. / Thittaporn Ganokratanaa; Narendra D. Londhe; Amit Joshi; Meelis Kitsing. Springer Science and Business Media Deutschland GmbH, 2026. p. 195-204 (Smart Innovation, Systems and Technologies; Vol. 468 SIST).

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

TY - GEN

T1 - Integrating LCA and Regression Modeling for Sustainable Supply Chain Decisions

T2 - 4th World Conference on Information Systems for Business Management, ISBM 2025

AU - Flores-Siguenza, Pablo

AU - Llivisaca-Villazhañay, Juan

AU - Moscoso-Martínez, Marlon

AU - Guamán, Rodrigo

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

PY - 2026

Y1 - 2026

N2 - Sustainable production has become a priority for industry and policymakers driven by the urgent need to address environmental pressures such as global warming, declining natural resources, and stricter sustainability policies. Life Cycle Assessment (LCA) has become an essential method for measuring the ecological footprint of products across their entire life cycle. This study applies LCA to an antibacterial gel supply chain, based on real data from a Mexican company, following the ISO 14040/44 framework, using GaBi software and the ReCiPe 2016 methodology. The analysis covers three distinct scenarios to assess environmental impacts at both midpoint and endpoint stages: the entire supply chain, the upstream phases of extraction and manufacturing, and the logistics component. Results reveal that climate change, fossil depletion, and terrestrial ecotoxicity are the most critical impact categories, with raw material sourcing contributing approximately 99% of the total burden. A regression model is also developed to estimate transport-related emissions based on quantity and distance. The study offers actionable insights for reducing environmental impacts in hygiene product manufacturing and demonstrates the value of LCA for guiding sustainable supply chain decisions.

AB - Sustainable production has become a priority for industry and policymakers driven by the urgent need to address environmental pressures such as global warming, declining natural resources, and stricter sustainability policies. Life Cycle Assessment (LCA) has become an essential method for measuring the ecological footprint of products across their entire life cycle. This study applies LCA to an antibacterial gel supply chain, based on real data from a Mexican company, following the ISO 14040/44 framework, using GaBi software and the ReCiPe 2016 methodology. The analysis covers three distinct scenarios to assess environmental impacts at both midpoint and endpoint stages: the entire supply chain, the upstream phases of extraction and manufacturing, and the logistics component. Results reveal that climate change, fossil depletion, and terrestrial ecotoxicity are the most critical impact categories, with raw material sourcing contributing approximately 99% of the total burden. A regression model is also developed to estimate transport-related emissions based on quantity and distance. The study offers actionable insights for reducing environmental impacts in hygiene product manufacturing and demonstrates the value of LCA for guiding sustainable supply chain decisions.

KW - Antibacterial Gel

KW - Environmental Impact Assessment

KW - Life Cycle Assessment

KW - Sustainable Supply Chain

UR - https://www.scopus.com/pages/publications/105030825218

U2 - 10.1007/978-3-032-12999-4_17

DO - 10.1007/978-3-032-12999-4_17

M3 - Contribución a la conferencia

AN - SCOPUS:105030825218

SN - 9783032129987

T3 - Smart Innovation, Systems and Technologies

SP - 195

EP - 204

BT - Information Systems for Intelligent Systems - Proceedings of ISBM 2025

A2 - Ganokratanaa, Thittaporn

A2 - Londhe, Narendra D.

A2 - Joshi, Amit

A2 - Kitsing, Meelis

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 24 September 2025 through 26 September 2025

ER -

Flores-Siguenza P , Llivisaca-Villazhañay J, Moscoso-Martínez M, Guamán R. Integrating LCA and Regression Modeling for Sustainable Supply Chain Decisions: A Case Study on Antibacterial Gel. In Ganokratanaa T, Londhe ND, Joshi A, Kitsing M, editors, Information Systems for Intelligent Systems - Proceedings of ISBM 2025. Springer Science and Business Media Deutschland GmbH. 2026. p. 195-204. (Smart Innovation, Systems and Technologies). doi: 10.1007/978-3-032-12999-4_17

Integrating LCA and Regression Modeling for Sustainable Supply Chain Decisions: A Case Study on Antibacterial Gel

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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