This paper presents a novel scheduling of resource-constrained Flexible Manufacturing System (FMS) with consideration the following sub-problems: (i) machine loading and unloading, (ii) manufacturing operation scheduling, (iii) assignment, (iv) Automated Guided Vehicle (AGV) scheduling. In proposed model, both AGV machinery are considered as required resources. Energy efficiency AGVs has been s...

In this paper, a bi- objective Operating Theater scheduling is proposed. The problem subject to order and assignment constraints. first the minimization of operating theater opening total time also called makespan in manufacturing systems while second maximize constraints satisfaction. considered as two-stage hybrid flow shop with blocking. Several metaheuristics are compared: firefly algorithm...

in this paper, we proposed an algorithm for solving the problem of task scheduling using particle swarm optimization algorithm, with changes in the selection and removing the guide and also using the technique to get away from the bad, to move away from local extreme and diversity. scheduling algorithms play an important role in grid computing, parallel tasks scheduling and sending them to appr...

in this paper, a novel mathematical model for a preemption multi-mode multi-objective resource-constrained project scheduling problem with distinct due dates and positive and negative cash flows is presented. although optimization of bi-objective problems with due dates is an essential feature of real projects, little effort has been made in studying the p-mmrcpsp while due dates are included i...

The objective in traditional scheduling is usually time based. Minimizing the makespan, total flow times, total tardi costs, etc. are instances of these objectives. In manufacturing, processing each job entails a cost paying and price receiving. Thus, the objective should include some notion of managing the flow of cash. We have defined two new objectives: maximization of average and minimum av...

Recently, with the development of mobile devices and crowdsourcing platform, spatial (SC) has become more widespread. In SC, workers need to physically travel complete spatial–temporal tasks during a certain period time. The main problem in SC platforms is scheduling set proper achieve based on different objectives. actuality, real-world applications optimize multiple objectives together, these...