Using Resource Dependence Theory (RDT), this paper explores the changing state of Supply Chain (SC) complexities and dependencies resulting from Additive Manufacturing (AM) adoption, analysing implications for competitiveness. We utilised an adapted SC configuration framework to develop embedded case studies across Aerospace, Automotive Power Generation industries. The sample included fifteen c...

We develop an integrated/hybrid optimization model for configuring new products’ supply chains while explicitly considering the impact of demand dynamics during new products’ diffusion. The hybrid model simultaneously determines optimal production/sales plan and supply chain configuration. The production and sales plan provides decisions on the optimal timing to launch a new product, as well as...

A collaborative design of complex real-world services (ranging from plumbing services, transportation, network connectivity and events hosting to insurances and governmental public services) over the WWW requires services to be described as components, the building blocks of a configuration. Defining complex services then becomes a traditional configuration task, where services are seen as comp...

In this research, we have investigated the interaction between product platform development and supply chain configuration in a global environment. A comprehensive decision support model has been developed to simultaneously determine product strategy and supply chain configuration. By Products we refer to the bundle of module option alternatives offered to market segments, and product platform ...

A collaborative design of complex real-world services (ranging from plumbing services, transportation, network connectivity and events hosting to insurances and governmental public services) over the WWW requires services to be described as components, the building blocks of a configuration. Defining complex services then becomes a traditional configuration task, where services are seen as comp...

(ABSTRACT) Supply chain management has been recently introduced to address the integration of organizational functions ranging from the ordering and receipt of raw materials throughout the manufacturing processes, to the distribution and delivery of products to the customer. Its application demonstrates that this idea enables organizations to achieve higher quality products, better customer ser...

In this study, artificial neural network was used to predict the surface tension of 20 hydrocarbon mixtures. Experimental data was divided into two parts (70% for training and 30% for testing). Optimal configuration of the network was obtained with minimization of prediction error on testing data. The accuracy of our proposed model was compared with four well-known empirical equations. The arti...