Project scheduling problems under both resource constraints and uncertainty have been
widely studied due to their real world relevance. In this paper, we design and implement a …

This paper introduces the Theory of AI-driven scheduling (TAIS), an innovative framework
designed to revolutionise service-oriented scheduling (In the context of this paper,'service …

The available studies on contingency planning in projects lack an effective method for
accurately estimating time contingencies because they (1) do not account for historically …

In this study, we consider the dynamic and stochastic resource-constrained multi-project
scheduling problem where projects generate rewards at their completion, completions later …

Available studies on project contingency planning predominantly focus on contingency
reserves that account for known unknowns, neglecting considerable uncertainty associated …

Project management organizes about 30% of the world's economy. Many recent projects
apply critical chain project management (CCPM) methodology, which requires the design of …

Today, one of the biggest problems that companies, and organizations are faced with is that
their projects take longer than the scheduled duration. Projects are often prolonged, lots of …

Disruptive events are the main source of delays in projects. A key task for construction
managers is to revise the project schedule plan based on time delays caused by these …

In critical chain project management, the probability of timely project completion can usually
be increased by setting a suitable project buffer. Existing studies tend to explicitly construct a …

The extant literature offers little basis for uncertainty analysis of resource acquisition in
project management. Within the spirit of reliability theory, the present paper attempts to fill …