We develop a multi-objective model for the resource allocation problem in a dynamic PERT network, where the activity durations are exponentially distributed random variables and the new projects are generated according to a Poisson process. This dynamic PERT network is represented as a network of queues, where the service times represent the durations of the corresponding activities and the arr...

During the last decade, considerable research efforts in the project scheduling literature have concentrated on resource-constrained project scheduling under uncertainty. Most of this research focuses on protecting the project due date against disruptions during execution. Few efforts have been made to protect the starting times of intermediate activities. In this paper, we develop a heuristic ...

We present a data-driven model for predicting task completion in Project LISTEN’s Reading Tutor, which takes turns picking stories and listens to the child read aloud [1]. However, children do not always finish stories, and we would like to understand why, or at least detect when they are about to stop. So our EDM challenge is to learn a model to predict task completion – a widely used metric o...

Given a constructor term rewriting system that defines injective functions, the inversion compiler proposed by Nishida, Sakai and Sakabe generates a conditional term rewriting system that defines the inverse relations of the injective functions, and then the compiler unravels the conditional system into an unconditional term rewriting system. In general, the resulting unconditional system is no...

This paper summarizes recent efforts in the use of automation to create geographic immersive virtual environments on a testbed of the University of California, Santa Barbara campus and nearby neighborhood of Isla Vista. In particular, we discuss how aerial LiDAR point clouds can be processed and fused with aerial video sources, and distributed on the web via the X3D language.

The aim of a multi-mode resource-constrained project scheduling problem (MRCPSP) is to assign resource(s) with the restricted capacity to an execution mode of activities by considering relationship constraints, to achieve pre-determined objective(s). These goals vary with managers or decision makers of any organization who should determine suitable objective(s) considering organization strategi...

Given a constructor term rewriting system defining injective functions, the inversion compiler proposed by Nishida, Sakai and Sakabe generates a confluent conditional term rewriting system, and unravels the conditional system into an unconditional term rewriting system. In general, the unconditional system is not confluent and thus not computationally equivalent to the conditional system. In th...

Distinct from ordinary project scheduling to minimize project completion time, this study conducts robust project scheduling with two resources constraints. In this study, actual start time of each operation is dynamic. The latest finish time minus actual finish time is the slack time available to each operation. The objective of this study is to determine all project operation times and slack ...

We assess the relative usefulness of temporal leadership and initiating structure in predicting timely team project completion. Drawing on functional approach to as well concept performance episodes, we hypothesize that two facets leadership, planning at initiation reminders midway through execution, will be better predictors completion than traditional task-oriented form delivered same stages....

This paper studies a contract design problem in a setting where time clauses are important. A principal hires an agent to complete a project within a …xed time horizon and prefers to have the project done as early as possible. The agent whose e¤ort is not contractible has a tendency to shirk and to delay exerting e¤ort. We show that in the principal’s optimal contract, deadlines and payment sch...