Szczegóły publikacji

Opis bibliograficzny

A stochastic optimisation approach to maintain supply chain viability under the ripple effect / Tadeusz SAWIK // International Journal of Production Research ; ISSN 0020-7543. — 2023 — vol. 61 no. 8, s. 2452–2469. — Bibliogr. s. 2468–2469, Abstr. — Publikacja dostępna online od: 2023-02-16. — Dod. afiliacja: Reykjavik University, Iceland


Autor


Słowa kluczowe

stochastic mixed integer programmingripple effectsupply chain risk managementsupply chain viabilitysupply chain resilience

Dane bibliometryczne

ID BaDAP145855
Data dodania do BaDAP2023-03-16
DOI10.1080/00207543.2023.2172964
Rok publikacji2023
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Czasopismo/seriaInternational Journal of Production Research

Abstract

This paper presents a novel quantitative approach and stochastic quadratic optimisation model to maintain supply chain viability under the ripple effect. Instead of viability kernel commonly used in the viability theory, this paper establishes the boundaries on acceptable production states for which the production can be continued under the ripple effect, with no severe losses. For a given implementable portfolio of controls, the boundaries on acceptable production trajectories associated with the two conflicting objectives, cost and customer service level are determined. The decision maker selects a viable production trajectory in-between the two boundary trajectories: the cost-optimal and the service-optimal. The selection depends on the decision maker preference, represented by a chosen weight factor in the optimised quadratic objective function that minimises weighted deviations from the cost-optimal and from the service-optimal production schedules under the ripple effect. The findings indicate that for the extreme values of the weight factor, the viable production trajectory is inclined toward the corresponding boundary trajectory and remains in-between the two boundaries, when both objectives are equally important. Keeping production trajectory in-between the two boundaries makes the supply chain more resilient to disruption risks, while the supply chain resilience diminishes as the production trajectory approaches a boundary trajectory. Then a more severe disruption may push the production outside the viability region and cause greater losses.

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Reshore or not reshore: a stochastic programming approach to supply chain optimization / Tadeusz Sawik // Omega : the International Journal of Management Science ; ISSN 0305-0483. — 2023 — vol. 118 art. no. 102863, s. 1–15. — Bibliogr. s. 15, Abstr. — Publikacja dostępna online od: 2023-02-28. — Afiliacja Autora: Reykjavik University, Iceland
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Stochastic optimization of supply chain resilience under ripple effect: a COVID-19 pandemic related study / Tadeusz Sawik // Omega : the International Journal of Management Science ; ISSN 0305-0483. — 2022 — vol. 109 art. no. 102596, s. 1-19. — Bibliogr. s. 19, Abstr. — Publikacja dostępna online od: 2022-01-11. — T. Sawik - afiliacja: Department of Engineering, Reykjavik University