Scheduling is a decision-making process that is concerned with the allocation of limited
resources to competing tasks (operations of jobs) over a time period with the goal of …

In real-world scheduling problems, several kinds of hard-to-predict risk must be considered.
Scheduling under uncertainty allows these kinds of risks to be taken into account. This paper …

The vast majority of the research efforts in project scheduling assume complete information
about the scheduling problem to be solved and a static deterministic environment within …

Scheduling and multicriteria optimisation theory have been subject, separately, to numerous
studies. Since the last twenty years, multicriteria scheduling problems have been subject to …

This paper addresses the problem of finding robust and stable solutions for the flexible job
shop scheduling problem with random machine breakdowns. A number of bi-objective …

This title presents a large variety of models and algorithms dedicated to the resource-
constrained project scheduling problem (RCPSP), which aims at scheduling at minimal …

Research concerning project planning under uncertainty has primarily focused on the
stochastic resource-constrained project scheduling problem (stochastic RCPSP), an …

Ambient intelligence (AmI) is a new multidisciplinary paradigm rooted in the ideas of
NormanAuthor of the Invisible Computer [32]. and Ubiquitous Computing. AmI fosters novel …

Abstract The Physical Internet (PI) is an innovative concept that has the potential to
significantly improve the efficiency, cost-effectiveness, and sustainability of the global supply …

The vast majority of the project scheduling research efforts over the past several years have
concentrated on the development of workable predictive baseline schedules, assuming …