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Scientific paper - Preliminary note / Short communication
A multi-objective integrated procurement, production, and distribution problem of supply chain network under fuzziness uncertainties
Pomorstvo, 35 (2021), 2; 191-206. https://doi.org/10.31217/p.35.2.1
Douaioui, Kaoutar; Fri, Mouhsene; Mabrouki, Charif; Semma, El Alami

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Douaioui, K., Fri, M., Mabrouki, C. & Semma, E. A. (2021). A multi-objective integrated procurement, production, and distribution problem of supply chain network under fuzziness uncertainties. Pomorstvo, 35. (2), 191-206. doi: 10.31217/p.35.2.1

Douaioui, Kaoutar, et al. "A multi-objective integrated procurement, production, and distribution problem of supply chain network under fuzziness uncertainties." Pomorstvo, vol. 35, no. 2, 2021, pp. 191-206. https://doi.org/10.31217/p.35.2.1

Douaioui, Kaoutar, Mouhsene Fri, Charif Mabrouki and El Alami Semma. "A multi-objective integrated procurement, production, and distribution problem of supply chain network under fuzziness uncertainties." Pomorstvo 35, no. 2 (2021): 191-206. https://doi.org/10.31217/p.35.2.1

Douaioui, K., et al. (2021) 'A multi-objective integrated procurement, production, and distribution problem of supply chain network under fuzziness uncertainties', Pomorstvo, 35(2), pp. 191-206. doi: 10.31217/p.35.2.1

Douaioui K, Fri M, Mabrouki C, Semma EA. A multi-objective integrated procurement, production, and distribution problem of supply chain network under fuzziness uncertainties. Pomorstvo [Internet]. 2021 December [cited 2024 June 17];35(2):191-206. doi: 10.31217/p.35.2.1

K. Douaioui, M. Fri, C. Mabrouki and E. A. Semma, "A multi-objective integrated procurement, production, and distribution problem of supply chain network under fuzziness uncertainties", Pomorstvo, vol. 35, no. 2, pp. 191-206, December 2021. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:187:167204. [Accessed: 17 June 2024]

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Metadata
Title (english)A multi-objective integrated procurement, production, and distribution problem of supply chain network under fuzziness uncertainties
AuthorKaoutar Douaioui
AuthorMouhsene Fri
AuthorCharif Mabrouki
AuthorEl Alami Semma
Author's institutionUniversity of Rijeka
Faculty of Maritime Studies, Rijeka
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Abstract (english)
In this paper, we devoted a design under uncertainty of a four-echelon supply chain network including multiple suppliers, multiple plants, multiple distributors and multiple customers. The proposed model is a bi-objective mixed integer linear programming which considers several constraints and aims to minimize the total costs including the procurement, production, storage and distribution costs as well as to maximize on-time deliveries (OTD). To bring the model closer to real-world planning problems, the objective function coefficients (e.g. procurement cost, production cost, inventory holding and transport costs) and other parameters (e.g., demand, production capacity and safety stock level), are all considered triangular fuzzy numbers. Besides, a hybrid mathematical model-based on credibility approach is constructed for the problem, i.e., expected value and chance constrained models. Moreover, to build the crisp equivalent model, we use different property of the credibility measure. The resulted crisp equivalent model is a bi-objective mixed integer linear programs (BOMILP). To transform this crisp BOMILP into a single objective mixed integer linear programs (MILP) model, we apply three different aggregation functions. Finally, numerical results are reported for a real case study to demonstrate the efficiency and applicability of the proposed model.
Keywords (english)
Languageenglish
Publication typeScientific paper - Preliminary note / Short communication
Publication statusPublished
Peer reviewPeer review
Publication versionPublished version
Journal titlePomorstvo
Numberingvol. 35, no. 2, pp. 191-206
p-ISSN1332-0718
e-ISSN1846-8438
DOIhttps://doi.org/10.31217/p.35.2.1
URN:NBNurn:nbn:hr:187:167204
Publication2021-12
Document URLhttps://hrcak.srce.hr/267171
Type of resourceText
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2022-02-25 13:48:09