Modelling of sustainable food grain supply chain distribution system: a bi-objective approach
| Autor: | D.G. Mogale, Naoufel Cheikhrouhou, Manoj Kumar Tiwari |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Decision support system 021103 operations research Strategy and Management Supply chain 0211 other engineering and technologies Pareto principle 02 engineering and technology Management Science and Operations Research Environmental economics Industrial and Manufacturing Engineering Facility location problem 020901 industrial engineering & automation Procurement Fair value Sustainable agriculture Business Environmental degradation |
| Zdroj: | International Journal of Production Research. 58:5521-5544 |
| ISSN: | 1366-588X 0020-7543 |
| DOI: | 10.1080/00207543.2019.1669840 |
| Popis: | Growing food demand, environmental degradation, post-harvest losses and the dearth of resources encourage the decision makers from developing nations to integrate the economic and environmental aspects in food supply chain network design. This paper aims to develop a bi-objective decision support model for sustainable food grain supply chain considering an entire network of procurement centres, central, state and district level warehouses, and fair price shops. The model seeks to minimise the cost and carbon dioxide emission simultaneously. The model covers several problem peculiarities such as multi-echelon, multi-period, multi-modal transportation, multiple sourcing and distribution, emission caused due to various motives, heterogeneous capacitated vehicles and limited availability, and capacitated warehouses. Multiple realistic problem instances are solved using the two Pareto based multi-objective algorithms. Sensitivity analysis results imply that the decision makers should establish a sufficient number of warehouses in each producing and consuming states by maintaining the suitable balance between the two objectives. Various policymakers like Food Corporation of India, logistics providers and state government agencies will be benefited from this research study. |
| Databáze: | OpenAIRE |
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