...Jing Dai; Ruoqi Geng; Dong Xu; Wuyue Shangguan; Jinan Shao Purpose Drawing upon socio-technical system theory, this study intends to investigate the effects of the congruence and incongruence between artificial intelligence (AI) and explorative learning on supply chain resilience as well...

...Luna Leoni; Marco Ardolino; Jamal El Baz; Ginetta Gueli; Andrea Bacchetti Purpose This paper aims to provide and empirically test a conceptual model in which artificial intelligence (AI), knowledge management processes (KMPs) and supply chain resilience (SCR) are simultaneously considered in terms...

... Artificial intelligence Scheduling Detailed scheduling consists of a group of activities that generates the actual assignment of starting and/or completion dates of operations (or groups of operations) to show when these must be done if the manufacturing orders are to be completed on time...

... and communications, and manpower/service management. The TSC project realizes the plans set up under the manpower/service management framework. © MCB UP Limited 1994 Artificial intelligence Forecasting Human resource planning Information technology Operations management R&D Resources...

... cent). In total, the two mailings generated a usable response rate of 19.6 per cent. © MCB UP Limited 1994 Artificial intelligence Expert systems Management Manufacturing Production Questionnaires The last decade has witnessed a growing number of American companies...

...Chao‐Hsien Chu; Hsu‐Pin Wang During recent decades, the emergence of artificial intelligence (AI) from computer science, psychology and linguistics has created a great impact on the design and implementation of process planning systems. This article provides a review of the state‐of‐the‐art AI...