Designing Resilient Factory Layouts Through Data-Driven Scenario Analysis with an Industrial Application

This paper develops a scenario-based robust MILP model for the unequal-area facility layout problem, coupling it with capacitated network flows and gateway-constrained interblock logistics to remain feasible under compound disruption scenarios. Applied to a European home appliance manufacturer’s plant in Turkey, the optimized layout cut material handling distance by 19.3% and raised production area utilization by 31%.

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Publication Details

Journal
INFORMS Journal on Applied Analytics
Published
2026-09-09
DOI
https://doi.org/10.1287/inte.2025.0258
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
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article

Designing Resilient Factory Layouts Through Data-Driven Scenario Analysis with an Industrial Application

Metin Türkay, Soheil Derakhshan Nejad, Sadra Shoarinejad
INFORMS Journal on Applied Analytics
Advanced Manufacturing and Logistics Optimization
article

Designing Resilient Factory Layouts Through Data-Driven Scenario Analysis with an Industrial Application

Metin Türkay, Soheil Derakhshan Nejad, Sadra Shoarinejad
article en

Abstract

This paper develops a scenario-based robust MILP model for the unequal-area facility layout problem, coupling it with capacitated network flows and gateway-constrained interblock logistics to remain feasible under compound disruption scenarios. Applied to a European home appliance manufacturer’s plant in Turkey, the optimized layout cut material handling distance by 19.3% and raised production area utilization by 31%.

INFORMS Journal on Applied Analytics
Koç University (TR)
Industry, innovation and infrastructure
Openalex Percentile: Top 11%
Advanced Manufacturing and Logistics Optimization
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