Multi-objective solid transportation-location problem with variable carbon emission in inventory management: a hybrid approach

Date

2021-02-01

Author

Das, Soumen Kumar
Pervin, Magfura
Roy, Sankar Kumar
Weber, Gerhard Wilhelm

Metadata

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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The most important strategic issue for several industries is where to find facilities so as to discover a transportation path for optimizing the objectives at the same time. This paper acquaints a streamlining model with incorporate the facility location problem, solid transportation problem, and inventory management under multi-objective environment. The aims of the stated formulation are multi-fold: (i) to seek the optimum locations for potential facilities in Euclidean plane; (ii) to find the amount of distributed commodities; and (iii) to reduce the overall transportation cost, transportation time, and inventory cost along with the carbon emission cost. Here, variable carbon emission cost is taken into consideration because of the variable locations of facilities and the amount of distributed products. After that, a new hybrid approach is introduced dependent on an alternating locate-allocate heuristic and the intuitionistic fuzzy programming to get the Pareto-optimal solution of the proposed formulation. In fact, the performances of our findings are discussed with two numerical examples. Sensitivity analysis is executed to check the resiliency of the parameters. Ultimately, managerial insights, conclusions and avenues of future studies are offered at the end of this study.

URI

https://hdl.handle.net/11511/89154

Journal

ANNALS OF OPERATIONS RESEARCH

DOI

https://doi.org/10.1007/s10479-020-03809-z

Collections

Graduate School of Applied Mathematics, Article

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Citation Formats

S. K. Das, M. Pervin, S. K. Roy, and G. W. Weber, “Multi-objective solid transportation-location problem with variable carbon emission in inventory management: a hybrid approach,” ANNALS OF OPERATIONS RESEARCH, pp. 0–0, 2021, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/89154.