Szczegóły publikacji

Opis bibliograficzny

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


Autor

  • Sawik Tadeusz

Słowa kluczowe

ripple effectstochastic programmingsupply chain risk managementreshoringmixed integer programming

Dane bibliometryczne

ID BaDAP145672
Data dodania do BaDAP2023-03-10
DOI10.1016/j.omega.2023.102863
Rok publikacji2023
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Czasopismo/seriaOmega : International Journal of Management Science

Abstract

This paper presents a scenario-based stochastic mixed integer programming model for risk-neutral or risk-averse optimization of supply chain reshoring to domestic region, under the ripple effect propagated from a foreign disruption source region. The reshoring decisions with respect to tier-one suppliers of parts and tier-zero OEM (Original Equipment Manufacturer) assembly plants are considered under disruptions in supply, manufacturing, logistics and demand rippling across the entire supply chain. The proposed innovative approach integrates strategic supply chain reshoring and operational supply chain scheduling, which allows the decision maker to evaluate the operational impact of the strategic decision. Results of computational experiments, partially modeled after a supply chain reshoring problem in the smartphone industry, are provided. The findings indicate that reshoring decisions are strongly dependent on the level of government subsidy for capital expenditure and for risk-neutral reshoring, a portfolio of supply chain nodes with positive expected net savings can be considered only. In general, the reshored supply chain can better meet domestic market demand. Moreover, full reshoring of a supply chain improves its business as usual performance and even partial reshoring mitigates the impact of the ripple effect. However, for risk-averse decision-making, if reshoring is incapable of reducing worst-case cost, in particular, worst-case lost sales, no reshoring is selected.

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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
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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