Towards decentralised job shop scheduling as a web service

This paper aims to investigate the fundamental requirements for a cloud-based scheduling service manufacturing, notably manufacturer priority service, resolution of schedule conflict, and error-proof data entry. A flow chart an inference-based system manufacturing is proposed prototype was designed using semantic web technologies. An adapted version Muth Thompson 10 × problem (MT10) used as case study two companies represented our use cases. Using Microsoft Project, levelled operation plans were generated. Semantic rules constraints calculation, verification. Pellet reasoner apply those onto study. The results include main findings. First, effectively detected conflicts when subjected four types disturbances. Secondly, suggestions conflict resolutions effective implemented albeit they not efficient. Consequently, hypotheses accepted which gave merit future works intended develop service. Future will three phases: (1) migration graph database server, (2) multi-agent automate entry, (3) optimisation mechanism prioritisation services.