Multi-objective non-linear cold storage capacity model for optimizing sustainability in bimodal climate regions
Cold storage is crucial for ensuring food security and optimizing supply chain efficiency, particularly in tropical regions with seasonal demand fluctuations. Existing optimization models often focus solely on economic and environmental aspects, neglecting a holistic sustainability approach and the...
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| Format: | Article |
| Language: | English |
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Universitat Politècnica de València
2025-07-01
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| Series: | International Journal of Production Management and Engineering |
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| Online Access: | https://polipapers.upv.es/index.php/IJPME/article/view/23365 |
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| author | Dini Retnowati Budisantoso Wirjodirdjo Ahmad Fatih Fudhla Fita Yulia Rahmah Asri Dwi Puspita |
| author_facet | Dini Retnowati Budisantoso Wirjodirdjo Ahmad Fatih Fudhla Fita Yulia Rahmah Asri Dwi Puspita |
| author_sort | Dini Retnowati |
| collection | DOAJ |
| description | Cold storage is crucial for ensuring food security and optimizing supply chain efficiency, particularly in tropical regions with seasonal demand fluctuations. Existing optimization models often focus solely on economic and environmental aspects, neglecting a holistic sustainability approach and the uncertainty of seasonal demand fluctuations. This study develops a multi-objective non-linear programming (MO-NLP) model that optimizes economic profit, carbon emissions, and food security, incorporating sustainability weights (λ1, λ2, λ3) to accommodate different priorities. The model considers stochastic demand and land area, budget, and electricity constraints. The results show that the model effectively balances profitability, environmental impact, and food security. In the standard scenario, the optimal cold storage area is 256 m², resulting in a profit of USD 742,368, carbon costs of USD 122,579, and a probability of 0.9962 for food security. Sensitivity analysis indicates that increasing land availability improves performance but eventually reaches a saturation point, while seasonal demand fluctuations have a significant impact on decisions. A higher food security weight (λ3) stabilizes supply but reduces profitability, whereas profit dominance (λ1) boosts income but compromises environmental and social aspects. This study provides an optimization-based tool for industry stakeholders and policymakers. Integrating sustainability into a single framework provides an adaptive and efficient approach to cold storage planning in the face of economic and environmental uncertainties. |
| format | Article |
| id | doaj-art-9c65a8b5e45b45ebbbdd6c6cc2dba7b4 |
| institution | Matheson Library |
| issn | 2340-4876 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Universitat Politècnica de València |
| record_format | Article |
| series | International Journal of Production Management and Engineering |
| spelling | doaj-art-9c65a8b5e45b45ebbbdd6c6cc2dba7b42025-07-31T07:28:26ZengUniversitat Politècnica de ValènciaInternational Journal of Production Management and Engineering2340-48762025-07-0113226628610.4995/ijpme.2025.2336522555Multi-objective non-linear cold storage capacity model for optimizing sustainability in bimodal climate regionsDini Retnowati0https://orcid.org/0000-0001-7986-4634Budisantoso Wirjodirdjo1https://orcid.org/0000-0002-9463-1393Ahmad Fatih Fudhla2https://orcid.org/0000-0002-5812-4546Fita Yulia Rahmah3Asri Dwi Puspita4https://orcid.org/0000-0001-9272-3131Universitas Maarif Hasyim Latif Sepuluh Nopember Institute of TechnologySepuluh Nopember Institute of Technology Universitas Maarif Hasyim Latif Universitas Maarif Hasyim Latif Cold storage is crucial for ensuring food security and optimizing supply chain efficiency, particularly in tropical regions with seasonal demand fluctuations. Existing optimization models often focus solely on economic and environmental aspects, neglecting a holistic sustainability approach and the uncertainty of seasonal demand fluctuations. This study develops a multi-objective non-linear programming (MO-NLP) model that optimizes economic profit, carbon emissions, and food security, incorporating sustainability weights (λ1, λ2, λ3) to accommodate different priorities. The model considers stochastic demand and land area, budget, and electricity constraints. The results show that the model effectively balances profitability, environmental impact, and food security. In the standard scenario, the optimal cold storage area is 256 m², resulting in a profit of USD 742,368, carbon costs of USD 122,579, and a probability of 0.9962 for food security. Sensitivity analysis indicates that increasing land availability improves performance but eventually reaches a saturation point, while seasonal demand fluctuations have a significant impact on decisions. A higher food security weight (λ3) stabilizes supply but reduces profitability, whereas profit dominance (λ1) boosts income but compromises environmental and social aspects. This study provides an optimization-based tool for industry stakeholders and policymakers. Integrating sustainability into a single framework provides an adaptive and efficient approach to cold storage planning in the face of economic and environmental uncertainties.https://polipapers.upv.es/index.php/IJPME/article/view/23365cold storage capacity optimizationmulti-objective non-linear programmingsupply chain sustainabilitystochastic seasonal demandfood securitycarbon emission cost |
| spellingShingle | Dini Retnowati Budisantoso Wirjodirdjo Ahmad Fatih Fudhla Fita Yulia Rahmah Asri Dwi Puspita Multi-objective non-linear cold storage capacity model for optimizing sustainability in bimodal climate regions International Journal of Production Management and Engineering cold storage capacity optimization multi-objective non-linear programming supply chain sustainability stochastic seasonal demand food security carbon emission cost |
| title | Multi-objective non-linear cold storage capacity model for optimizing sustainability in bimodal climate regions |
| title_full | Multi-objective non-linear cold storage capacity model for optimizing sustainability in bimodal climate regions |
| title_fullStr | Multi-objective non-linear cold storage capacity model for optimizing sustainability in bimodal climate regions |
| title_full_unstemmed | Multi-objective non-linear cold storage capacity model for optimizing sustainability in bimodal climate regions |
| title_short | Multi-objective non-linear cold storage capacity model for optimizing sustainability in bimodal climate regions |
| title_sort | multi objective non linear cold storage capacity model for optimizing sustainability in bimodal climate regions |
| topic | cold storage capacity optimization multi-objective non-linear programming supply chain sustainability stochastic seasonal demand food security carbon emission cost |
| url | https://polipapers.upv.es/index.php/IJPME/article/view/23365 |
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