TY - GEN
T1 - Integrating Lean, Agile, Resilient and Green Supply Chain Management in Engineer-to-Order Contexts: Insights from Expert Interviews
AU - Masi, Antonio
AU - Pero, Margherita
PY - 2023/9/14
Y1 - 2023/9/14
N2 - “LARG” is a supply chain management paradigm that combines different managerial approaches to achieve waste reduction (Lean), rapid response to customer requests (Agile), resilience to disruptions (Resilient), and environmental sustainability (Green). LARG practices could help addressing some of the strategic priorities of Engineer-to-Order (ETO) contexts, such as the need for responding quickly to customer requests, while assuring resiliency in a volatile context like the current one. However, its feasibility in ETO contexts is still understudied. The purpose of this paper is to open a debate on this topic. To do that, we develop a conceptual framework of the main LARG practices, based on a literature review, and then we validate it through four expert interviews, with managers of Italian machinery companies. Our results suggest three main managerial recommendations. First, they show the benefits of servitization for both resilience and sustainability, thanks to services, like remote monitoring, that allow to reduce material and energy wastes, while limiting the need for travelling. Second, they stress the role of modularity as an antecedent both of “leagile” and of servitization in ETO contexts. Third, they call for a higher adoption of green practices, which are much less widespread than lean, agile, and resilient ones, despite some early signals of change. Thus, this paper addresses the call for further research on supply chain paradigms implementation in ETO contexts, and opens new avenues for future research.
AB - “LARG” is a supply chain management paradigm that combines different managerial approaches to achieve waste reduction (Lean), rapid response to customer requests (Agile), resilience to disruptions (Resilient), and environmental sustainability (Green). LARG practices could help addressing some of the strategic priorities of Engineer-to-Order (ETO) contexts, such as the need for responding quickly to customer requests, while assuring resiliency in a volatile context like the current one. However, its feasibility in ETO contexts is still understudied. The purpose of this paper is to open a debate on this topic. To do that, we develop a conceptual framework of the main LARG practices, based on a literature review, and then we validate it through four expert interviews, with managers of Italian machinery companies. Our results suggest three main managerial recommendations. First, they show the benefits of servitization for both resilience and sustainability, thanks to services, like remote monitoring, that allow to reduce material and energy wastes, while limiting the need for travelling. Second, they stress the role of modularity as an antecedent both of “leagile” and of servitization in ETO contexts. Third, they call for a higher adoption of green practices, which are much less widespread than lean, agile, and resilient ones, despite some early signals of change. Thus, this paper addresses the call for further research on supply chain paradigms implementation in ETO contexts, and opens new avenues for future research.
KW - Engineer-to-Order
KW - LARG
KW - Resilience
KW - Supply Chain
KW - Sustainability
UR - https://link.springer.com/chapter/10.1007/978-3-031-43670-3_8
UR - http://www.scopus.com/inward/record.url?scp=85174451148&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-43670-3_8
DO - 10.1007/978-3-031-43670-3_8
M3 - Conference publication
AN - SCOPUS:85174451148
SN - 9783031436697
T3 - IFIP Advances in Information and Communication Technology
BT - Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures - IFIP WG 5.7 International Conference, APMS 2023, Proceedings
A2 - Alfnes, Erlend
A2 - Romsdal, Anita
A2 - Strandhagen, Jan Ola
A2 - von Cieminski, Gregor
A2 - Romero, David
PB - Springer
T2 - IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2023
Y2 - 17 September 2023 through 21 September 2023
ER -