Szczegóły publikacji

Opis bibliograficzny

Viable supply chain under energy system blackouts on heavy industry: a multiple case study and simulation-based optimization approach / Vijaya Kumar Manupati, Tadeusz SAWIK // Socio-Economic Planning Sciences ; ISSN  0038-0121 . — 2026 — vol. 107 art. no. 102602, s. 1-21. — Bibliogr. s. 20-21, Abstr. — Publikacja dostępna online od: 2026-08-25. — T. Sawik - dod. afiliacja: Operations and Supply Chain Management, Indian Institute of Management, Mumbai, India

Autorzy (2)

Słowa kluczowe

time to surviveresilienceenergy blackoutdisruptionsviabilitytime to recover

Dane bibliometryczne

ID BaDAP169936
Data dodania do BaDAP2026-10-08
Tekst źródłowyURL
DOI10.1016/j.seps.2026.102602
Rok publikacji2026
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Czasopismo/seriaSocio-Economic Planning Sciences

Abstract

This research presents a simulation-based optimization approach for heavy industry under propagating energy outages to maintain a risk-neutral viable supply chain. In this paper, we developed a mixed integer linear programming (MILP) model with the objective of minimize total cost and maximize service level while adhering to realistic constraints. We proposed a simulation-based optimization approach to mitigate the disruptions and improve network resilience using multiple cases from cement and steel sectors. A stress test with varied degrees of disruption has been conducted to determine the time to survive (TTS) and time to recover (TTR) for the sectors under consideration. To improve the TTS and TTR, we proposed an inventory strategy and a backup grid strategy to mitigate the effect of disruptions thereby enhancing the network resilience. Consequently, a risk-neutral viable supply chain spectrum/space under interruptions has been established to determine the extreme boundaries of the viability space. Extensive computer testing, including sensitivity analysis and real-world scenarios, was carried out to validate the approach.

Publikacje, które mogą Cię zainteresować

artykuł
#145855Data dodania: 16.3.2023
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