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Scheduling problem of material processing is one of the intellectual scheduling problems and its model is as general as any other practical problem. The current theoretical research result of scheduling problems is mainly about material processing which represents the scheduling problems based on minimum completing time. Genetic Algorithm is a kind of random searching method that imitates creatures'...
Most of papers that deal with the production planning problems assume that the equipments are always available during the scheduling horizon, however, preventive maintenance activities cost time that could otherwise be used for production, but delaying preventive maintenance for production may increase the probability of equipment failure. In order to resolve the conflict between preventive maintenance...
Most of papers on integrating scheduling problems with preventive maintenance have focus on a signal production line or preventive maintenance that can restore a production line to a 'as-good-as-new' status, which is depart from the real production, limiting its use in practice. This paper deals with the problem of jointly scheduling and imperfect preventive maintenance which can not restore a production...
The production status of carbon enterprises was researched and analyzed. Based on that, the carbon enterprises shop scheduling problem was studied. A carbon enterprises shop scheduling model was established and the method which combines heuristic algorithm with genetic algorithm was used to resolve the model. With algorithm simulation running of Matlab, optimal scheduling was obtained. Simulation...
Aiming for the actual production of carbon enterprises, the optimization problem of master production scheduling in carbon enterprises was studied. With the purpose of minimizing production and inventory costs in planning horizon, the paper established an optimization model of master production scheduling by using the unit time earliness and tardiness penalty of products. The paper proposed the use...
A kind of collateral production scheduling based on mixed genetic simulation algorithms has been presented in this paper. In the view of the model of collateral production, the principle and the method of the operator's determination and design has been studied in genetic algorithms. The strategy to keep elites has been studied in genetic algorithms as well. In order to guarantee the quality of the...
The current flow path design models might lead to complicated scheduling and unbalanced bottleneck resources in some cells. A bottleneck resources focused flow path model is proposed in this paper. The number of the ultimate cells and the average load of the bottleneck resources are considered in the model. The proposed model can dynamically form high efficient virtual production cells, balance the...
With the shortcoming of we can not search for the local optimum, this article has studied the problem of resource restricted and provided a kind of improved hereditary algorithm of adaptive immunity by the way of combining the adaptive operator of the hereditary algorithm of the immunity with the drawing dynamically of vaccine. According to the historical of searching information, the improved algorithm...
A critical issue in supply chain management is coordinating the decisions made by decision makers at different stages. Traditional scheduling see production scheduling as the dominant, and distribution have to follow it, but this leads to inventory cost and delivery tardiness. So, we study the coordinating of production and distribution scheduling in MC. The overall problem is decomposed into two...
This article presents a new method based on multiobjective Pareto ant colony optimization to resolve the joint production and maintenance scheduling problem. This method is applied to the problem previously developed in for the parallel machines case. This problem was formulated according to a bi-objective approach to find trade-off solutions between both objectives of production and maintenance....
The problem of production scheduling of manufacturing systems is a typical NP-hard optimization problem and several researchers have been using the genetic algorithms (GAs) as a search method, since these algorithms have the capacity of globally exploring the search space. However, it is reported that traditional GAs often suffers from the weaknesses of premature convergence as well as parameter and...
This paper, first, discusses a optimization scheduling problem which was considered as the manufacturing execution system was designed in a enterprise of manufacturing tyres. And then this problem is reduced to a scheduling problem to minimize setup times with batch setup time depending on sequence. A method for solving tyre production scheduling problem using an effective adaptive hybrid genetic...
Steel plate pick-up operation scheduling on stackyard of shipyard aims to minimize the overall cost of operation by reducing the frequency of rehandling operations. The decision-making optimization model of pick-up operation scheduling was constructed with two processes: selecting pick-up steel plates and rehandling operation scheduling. This is a bilevel programming problem, and a nested heuristic...
The problem for scheduling the manufacturing systems production involves the modeling task and the application of a technique to solve it. There are some ways used to model such problem and some search strategies have been applied on the model to find a solution. The solution has to consider performances parameters like makespan or another. However, depending on the size and complexity of the system,...
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