Szczegóły publikacji
Opis bibliograficzny
Two-period vs. multi-period model for supply chain disruption management / Tadeusz SAWIK // International Journal of Production Research ; ISSN 0020-7543. — 2019 — vol. 57 no. 14, s. 4502–4518. — Bibliogr. s. 4517–4518
Autor
Słowa kluczowe
Dane bibliometryczne
ID BaDAP | 123404 |
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Data dodania do BaDAP | 2019-07-31 |
Tekst źródłowy | URL |
DOI | 10.1080/00207543.2018.1504246 |
Rok publikacji | 2019 |
Typ publikacji | artykuł w czasopiśmie |
Otwarty dostęp | |
Czasopismo/seria | International Journal of Production Research |
Abstract
A novel two-period modelling approach is developed for supply chain disruption mitigation and recovery and compared with a multi-period approach. For the two-period model, planning horizon is divided into two aggregate periods: before disruption and after disruption. The corresponding mitigation and recovery decisions are: (1) primary supply and demand portfolios and production before a disruption, and (2) recovery supply, transshipment and demand portfolios and production after the disruption. In the multi-period model, a multi-period planning horizon is applied to account for a detailed timing of supplies and production. The primary and recovery portfolios are determined simultaneously and for both approaches the integrated decision-making, stochastic mixed integer programming models are developed. While the simplified two-period setting may overestimate (for best-case capacity constraints) or underestimate (for worst-case capacity constraints) the available production capacity, it can be easily applied in practice for a fast, rough-cut evaluation of disruption mitigation and recovery policy. The findings indicate that for both two- and multi-period setting, the developed multi-portfolio approach leads to computationally efficient mixed integer programming models with an embedded network flow structure resulting in a very strong linear programming relaxation.