Supply Chain Ramp-Up in an Engineer-to-Order Context for Large-Scale Products

Montée en charge d'une chaîne logistique dans un contexte Engineer-to-Order pour des produits de grande taille

Paula Sofia Castro Acevedo (), Yenny A. Paredes-Astudillo (), Lorraine Trilling () and Anne-Laure Ladier ()
Additional contact information
Paula Sofia Castro Acevedo: DISP - Décision et Information pour les Systèmes de Production - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - INSA Lyon - Institut National des Sciences Appliquées de Lyon - Université de Lyon - INSA - Institut National des Sciences Appliquées
Yenny A. Paredes-Astudillo: DISP - Décision et Information pour les Systèmes de Production - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - INSA Lyon - Institut National des Sciences Appliquées de Lyon - Université de Lyon - INSA - Institut National des Sciences Appliquées
Lorraine Trilling: DISP - Décision et Information pour les Systèmes de Production - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - INSA Lyon - Institut National des Sciences Appliquées de Lyon - Université de Lyon - INSA - Institut National des Sciences Appliquées
Anne-Laure Ladier: DISP - Décision et Information pour les Systèmes de Production - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - INSA Lyon - Institut National des Sciences Appliquées de Lyon - Université de Lyon - INSA - Institut National des Sciences Appliquées

Post-Print from HAL

Abstract: arge-scale products are characterized by significant physical dimensions and high engineering content, and are typically developed in engineer-to-order (ETO) environments. Their architecture comprises numerous modules, subassemblies, and components. The production of these elements relies on extended supply chains composed of specialized suppliers and subcontractors with diverse manufacturing activities and often geographically dispersed operations. Their high structural complexity, highly customized configurations, and distributed production networks limit the ability of these supply chains to adapt efficiently to demand variability, making their management particularly challenging. These products frequently rely on modular and partially standardized architectures to facilitate production, transportation, and storage. Consequently, production and supply capacity planning is especially complex, as planning approaches must accommodate different decoupling points. Customized elements are generally managed using an order-driven logic, whereas modules and standardized components follow a forecast-driven logic based on demand and capacity aggregation [2]. In forecast-driven capacity planning, frameworks such as Sales and Operations Planning (S&OP) are widely used in mass-production environments. However, their application in ETO contexts remains limited. Capacity planning becomes particularly difficult when companies experience rapid market growth or face external disruptions requiring a fast increase in capacity. Such situations involve an accelerated ramp-up of resources throughout the supply chain. This process is even more complex in ETO environments for large-scale products, where production depends on specialized suppliers and subcontractors. These actors must design products, modules, subassemblies, and components while adapting their production systems. Such adaptations require significant investments and lead times, thereby reducing the system's ability to respond quickly to changes in demand and, consequently, compromising supply chain resilience. To support strategic capacity management decisions in ETO supply chains for large-scale products, we propose a methodology based on a linear programming (LP) model that represents resource utilization and enables the analysis of supply chain ramp-up dynamics.

Keywords: Suppy chain; Ramp-Up; Montée en charge; Produits de grande taille; Engineer-to-order ETO; Planification de la capacité; Programmation linéaire; Chaîne logistique (search for similar items in EconPapers)
Date: 2026-06-10
Note: View the original document on HAL open archive server: https://hal.science/hal-05659704v1
References: Add references at CitEc
Citations:

Published in SAGIP 2025 – 4ème Congrès Annuel, Société d’Automatique, de Génie Industriel & de Productique SAGIP, Jun 2026, Bordeaux, France

Downloads: (external link)
https://hal.science/hal-05659704v1/document (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05659704

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().