Exploring ecosystem network analysis to balance resilience and performance in sustainable supply chain design
(2019) In International Journal of Advanced Operations Management 11(1-2). p.26-45- Abstract
Sustainable supply chain design can be performed using optimisation strategies for minimising environmental impacts while maximising profit. It is not clear how such strategies influence the resilience of a supply chain – its ability to handle disturbances without compromising its function. This research used the ecosystem network analysis (ENA) to evaluate the resilience during the design of a sugar beet supply chain. The ε-constraint method was used to solve a multi-objective, mixed integer linear programming (MOMILP) model. Results showed that ENA results are compromised when the strategy of minimising environmental impacts is used, due to the increased fragility of the configuration, compared with the configuration from the profit... (More)
Sustainable supply chain design can be performed using optimisation strategies for minimising environmental impacts while maximising profit. It is not clear how such strategies influence the resilience of a supply chain – its ability to handle disturbances without compromising its function. This research used the ecosystem network analysis (ENA) to evaluate the resilience during the design of a sugar beet supply chain. The ε-constraint method was used to solve a multi-objective, mixed integer linear programming (MOMILP) model. Results showed that ENA results are compromised when the strategy of minimising environmental impacts is used, due to the increased fragility of the configuration, compared with the configuration from the profit maximisation strategy. Sensitivity analysis also revealed that, when the number of facilities is increased, ENA results improve while profit is decreased. ENA showed an interesting potential to support the pursuit of balance between resilience and performance during early design stages.
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- author
- De Souza, Vitor LU ; Bloemhof-Ruwaard, Jacqueline and Borsato, Milton
- publishing date
- 2019
- type
- Contribution to journal
- publication status
- published
- keywords
- Ecosystem network analysis, ENA, Multi-objective programming., Resilience, SSCD, Sustainable supply chain design
- in
- International Journal of Advanced Operations Management
- volume
- 11
- issue
- 1-2
- pages
- 20 pages
- publisher
- Inderscience Publishers
- external identifiers
-
- scopus:85063569882
- ISSN
- 1758-938X
- DOI
- 10.1504/ijaom.2019.10019916
- language
- English
- LU publication?
- no
- additional info
- Funding Information: This work was supported by the Coordination of Superior Level Staff Improvement – CAPES (Grant Number 88881.134782/2016-01) and by Wageningen University and Research. We would like to acknowledge the Federal University of Technology – Campus Cornélio Procópio. Special thanks to Dr. Argyris Kanellopoulos from the WUR.
- id
- 51a8502d-09ea-4b77-9ece-db965799853a
- date added to LUP
- 2024-03-04 15:17:23
- date last changed
- 2024-03-25 10:52:25
@article{51a8502d-09ea-4b77-9ece-db965799853a,
abstract = {{<p>Sustainable supply chain design can be performed using optimisation strategies for minimising environmental impacts while maximising profit. It is not clear how such strategies influence the resilience of a supply chain – its ability to handle disturbances without compromising its function. This research used the ecosystem network analysis (ENA) to evaluate the resilience during the design of a sugar beet supply chain. The ε-constraint method was used to solve a multi-objective, mixed integer linear programming (MOMILP) model. Results showed that ENA results are compromised when the strategy of minimising environmental impacts is used, due to the increased fragility of the configuration, compared with the configuration from the profit maximisation strategy. Sensitivity analysis also revealed that, when the number of facilities is increased, ENA results improve while profit is decreased. ENA showed an interesting potential to support the pursuit of balance between resilience and performance during early design stages.</p>}},
author = {{De Souza, Vitor and Bloemhof-Ruwaard, Jacqueline and Borsato, Milton}},
issn = {{1758-938X}},
keywords = {{Ecosystem network analysis; ENA; Multi-objective programming.; Resilience; SSCD; Sustainable supply chain design}},
language = {{eng}},
number = {{1-2}},
pages = {{26--45}},
publisher = {{Inderscience Publishers}},
series = {{International Journal of Advanced Operations Management}},
title = {{Exploring ecosystem network analysis to balance resilience and performance in sustainable supply chain design}},
url = {{http://dx.doi.org/10.1504/ijaom.2019.10019916}},
doi = {{10.1504/ijaom.2019.10019916}},
volume = {{11}},
year = {{2019}},
}