Decentralized decision support for intelligent manufacturing in Industry 4.0

M Marques, C Agostinho… - Journal of Ambient …, 2017 - journals.sagepub.com
“Industry 4.0” is recognized as the future of industrial production in which concepts as Smart
Factory and Decentralized Decision Making are fundamental. This paper proposes a novel …

Decentralized intelligence in freight transport—A critical review

H Sternberg, M Andersson - Computers in Industry, 2014 - Elsevier
The purpose of this paper is to provide a research outlook on the concept of decentralized
freight intelligence, ie autonomous freight making localized routing decisions. A review of …

Models, guidelines and tools for the integration of collaborative processes in non-hierarchical manufacturing networks: a review

B Andres, R Poler - International Journal of Computer Integrated …, 2016 - Taylor & Francis
Collaborative practices among partners of manufacturing networks require the support of
models (M), guidelines (G) and tools (T) which should take into account the network …

Structural elements of coordination mechanisms in collaborative planning processes and their assessment through maturity models: Application to a ceramic tile …

L Cuenca, A Boza, MME Alemany, JJM Trienekens - Computers in Industry, 2013 - Elsevier
Maturity is defined as a measure to evaluate the capabilities of an organization in regards to
a certain discipline. The Collaborative Planning Process is a very complex process and …

A decision support system for the collaborative selection of strategies in enterprise networks

B Andres, R Poler - Decision Support Systems, 2016 - Elsevier
Collaborative networks (CN) consist of autonomous and heterogeneous partners, and each
defines its own objectives and formulates its own strategies, which are selected and …

Leveraging synthetic data to tackle machine learning challenges in supply chains: challenges, methods, applications, and research opportunities

Y Long, S Kroeger, MF Zaeh… - International Journal of …, 2025 - Taylor & Francis
Machine learning (ML) has the potential to improve various supply chain management
(SCM) tasks, namely demand forecasting, risk management, inventory management …

An empirical investigation of information systems interoperability business value in European firms

EN Loukis, YK Charalabidis - Computers in Industry, 2013 - Elsevier
It is widely believed that the establishment of interoperability of the information systems (IS)
of a firm with those of its collaborators (eg customers, suppliers, and business partners) can …

Mathematical programming-based methodology for the evaluation of supply chain collaborative planning scenarios

D Pérez-Perales, A Boza, F Alarcón… - Annals of Operations …, 2024 - Springer
Nowadays, supply chain (SC) decentralised decision making is the most usual situation in
SC operations planning. In this context, different companies can collaboratively plan to …

A novel research methodology for supply network collaboration management

Q Long - Information Sciences, 2016 - Elsevier
A supply chain has a multi-stage complex topological structure that is reconfigured
dynamically and evolves over time. These features represent great challenges to supply …

A model-driven DSS architecture for delivery management in collaborative supply chains with lack of homogeneity in products

A Boza, MME Alemany, F Alarcón… - Production Planning & …, 2014 - Taylor & Francis
Uniform product deliveries are required in the ceramic, horticulture and leather sectors
because customers require product homogeneity to use, present or consume them together …