This paper discusses the problem of allocation of constrained renewable resource to splittable activities of a single project. If the activities of stochastic projects can be split, these projects may be completed in shorter time when the available resource is constrained. It is assumed that the resource amount required to accom-plish each activity is a discrete quantity and deterministic. The ...

determination a sequence of extracting ore is one of the most important problems in mine annual production scheduling. production scheduling affects mining performance especially in a poly-metallic open pit mine with considering the imposed operational and physical constraints mandated by high levels of reliability in relation to the obtained actual results. one of the important operational con...

In this paper, we present part of a study on stochastic, dynamic project scheduling in an R&D Department of a leading home appliances company in Turkey. The problem under consideration is the preemptive resource constrained multi-project scheduling problem with generalized precedence relations in a stochastic and dynamic environment. The model consists of three phases. Phase I of the model prov...

This report presents a proposal for my PhD studies. First, we motivate the problem of Satisfiability and its importance in computer science and artificial intelligence. We then describe a critical review of relevant literature in this field, including state-of-the-art techniques. We identify some challenges in efficiently solving SAT by local search and its application to real world, including ...

Modern phased array radars are able to adaptively modify their performance to the environment. To make full use of this capability, scheduling algorithms need to be designed. This paper poses the problem of adaptive waveform scheduling for detecting new targets in the context of finite horizon stochastic dynamic programming. The result is a scheduling algorithm that minimises the time taken to ...

This article examines the complexity of resource-allocation decisions for resource-constrained project scheduling. The allocation decisions are modeled by means of precedence networks and are closely related to ES-policies, which are a type of scheduling policies introduced for stochastic scheduling. We find that even a number of ‘surrogate’ objective functions, whose use has recently been prop...

In this paper a new metaheuristic method is proposed to solve the classical permutation flowshop scheduling problem with the objective of minimizing sum of completion times. The representative neighbourhood combines the stochastic sampling method mainly used in Simulated Annealing and the best descent method elaborated in Tabu Search and integrates them naturally into a single method. The metho...

Reactive scheduling is often been criticized for its inability to provide timely optimized and stable schedules. So far, the extant literature has focused on generating schedules that optimize shop floor efficiency. Only a few have considered optimizing both shop floor efficiency and schedule stability. This paper applies a unique selfadaptation mechanism of the ant colony optimization (ACO) al...

This paper addresses integrated scheduling, planning and budgeting with financial risk management in the batch chemical process industries. A cash flow and budgeting model is coupled with an advanced planning and scheduling procedure using a two-stage stochastic formulation. The results of the integrated model are compared with the results of the sequential use of scheduling followed by budgeti...