This paper deals with scheduling complex tasks with an inhomogeneous set of resources. The problem is to assign technicians to tasks with multi-level skill requirements. Here, the requirements are merely the presence of a set of technicians that possess the necessary capabilities. An additional complication is that a set of combined technicians stays together for the duration of a work day. Thi...

This paper deals with scheduling complex tasks with an inhomogeneous set of resources. The problem is to assign technicians to tasks with multi-level skill requirements. Here, the requirements are merely the presence of a set of technicians that possess the necessary capabilities. An additional complication is that a set of combined technicians stays together for the duration of a work day. Thi...

projects scheduling by the project portfolio selection, something that has its own complexity and its flexibility, can create different composition of the project portfolio. an integer programming model is formulated for the project portfolio selection and scheduling.two heuristic algorithms, genetic algorithm (ga) and simulated annealing (sa), are presented to solve the problem. results of cal...

    Project scheduling   Net present value   We consider a project scheduling problem with permitted tardiness and discrete time/resource trade-offs under maximum net present value objective. In this problem, a project consists of a set of sequential phases such that each phase contains one or more sub-projects including activities interrelated by finish-start-type precedence relations with a t...

A common problem arising in project management is the fact that the baseline schedule is often disrupted during the project execution because of uncertain parameters. As a result, project managers are often unable to meet the deadline time of the milestones. Robust project scheduling is an effective approach in case of uncertainty. Upon adopting this approach, schedules are protected against po...

We show how, in general equilibrium models featuring increasing returns, imperfect competition and endogenous markups, changes in the scale of economic activity affect income distribution across factors. Whenever Þnal goods are gross-substitutes (grosscomplements), a scale expansion raises (lowers) the relative reward of the scarce factor or the factor used intensively in the sector characteriz...

Allocation of tasks to resources is a crucial issue for an organisation. This paper investigates the use of genetic algorithms, combined with an ontology, in producing optimal allocations of tutors to tutorials. The ontology is used to support partial matching; it helps determine which tutors’ skills (i.e. resources) are ontologically close to the optimal skill. These are then matched against t...