In today's manufacturing and supply chain environments, many companies face challenge in responding to customers' requirements quickly and providing customized products quickly at low cost. Mass customization ...
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ISBN:
(纸本)9783030859022;9783030859015
In today's manufacturing and supply chain environments, many companies face challenge in responding to customers' requirements quickly and providing customized products quickly at low cost. Mass customization can help companies in providing customized products and services quickly and at a low price. Integrated decision-making has been found effective in many situations. This paper reviews the scheduling research of flexible manufacturing systems (fmss). The fms scheduling problem is part of the fms production and operation management problem. Because the production management of fmss is very difficult, the fms scheduling problem is very complicated. Many researchers have investigated the fms scheduling problem. The paper summarizes the fms scheduling research with recent development. In addition, a framework of fms scheduling integration for mass customization is developed based on the literature survey. A control flow of fms part processing is designed as part of the framework. Further development of the fms scheduling integration is suggested.
In contemporary manufacturing and supply chain environments, there are various challenges that companies have to face. Many companies are facing challenges to respond quickly to customers' requirements and to prov...
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In contemporary manufacturing and supply chain environments, there are various challenges that companies have to face. Many companies are facing challenges to respond quickly to customers' requirements and to provide customised products cost effectively. Mass customisation (MC) can help companies to provide customised products and services quickly at a low price. Integrated decision-making can obtain performance improvement in many situations. This paper investigates the problem of scheduling integration of flexible manufacturing systems (fmss) for mass customisation. A mathematical model is formulated for the problem. A set-based dynamic algorithm is developed. Numerical studies are made on the proposed algorithm by simulation and by statistical analysis. Conclusions, managerial implications, and future research suggestions are provided.
Flexible manufacturing systems (fmss) are crucial in contemporary manufacturing environments because they provide the required agility and adaptability to face volatile customer demands. Balancing workload among diffe...
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Flexible manufacturing systems (fmss) are crucial in contemporary manufacturing environments because they provide the required agility and adaptability to face volatile customer demands. Balancing workload among different work stations of an fms is essential to ensure optimal resource utilization, minimize idle times, and improve overall system performance. This research is aimed to study the application of dynamic workload balancing to part input sequencing for integrated fms scheduling decision-making. In this work, we propose an online algorithm that balances workload dynamically in fmss. A mathematical model of fms scheduling integration is presented. The proposed approach schedules tasks not only on machines but also on the robot responsible for part movement within a shop floor. The proposed approach is evaluated in two aspects of comparison and analysis. Data analysis is made by simulation experiment and statistical analysis. Conclusions with managerial implications for practical applications and future research suggestions are provided.
Because disruption happens unpredictably and generates serious impact in supply chain and production environments in the real world, it is important to develop approaches to handle disruption. This paper investigates ...
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Because disruption happens unpredictably and generates serious impact in supply chain and production environments in the real world, it is important to develop approaches to handle disruption. This paper investigates disruption handling in part input sequencing of flexible manufacturing systems (fmss). An algorithm is proposed for fms part input sequencing to handle machine breakage. Evaluation is performed for the proposed algorithm by simulation experiments and result analyses. Finally, conclusions are summarized with managerial implications discussed and further research works suggested.
This paper considers the integrated fms (flexible manufacturing system) scheduling problem (IFSP) consisting of loading, routing, and sequencing subproblems that are interrelated to each other. In schedulingfms, the ...
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This paper considers the integrated fms (flexible manufacturing system) scheduling problem (IFSP) consisting of loading, routing, and sequencing subproblems that are interrelated to each other. In schedulingfms, the decisions for the subproblems should be appropriately made to improve resource utilization. It is also important to fully exploit the potential of the inherent flexibility of fms. In this paper, a symbiotic evolutionary algorithm, named asymmetric multileveled symbiotic evolutionary algorithm (AMSEA), is proposed to solve the IFSP. AMSEA imitates the natural process of symbiotic evolution and endosymbiotic evolution. Genetic representations and operators suitable for the subproblems are proposed. A neighborhood-based coevolutionary strategy is employed to maintain the population diversity. AMSEA has the strength to simultaneously solve subproblems for loading, routing, and sequencing and to easily handle a variety of fms flexibilities. The extensive experiments are carried out to verify the performance of AMSEA, and the results are reported.
The performance of a scheduling system, in practice, is not evaluated to satisfy a single objective, but to obtain a trade-off schedule regarding multiple objectives. Therefore, in this research, we make use of one of...
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The performance of a scheduling system, in practice, is not evaluated to satisfy a single objective, but to obtain a trade-off schedule regarding multiple objectives. Therefore, in this research, we make use of one of the multiple objective decision-making methods, a global criterion approach, to develop a multi-objective model for solving fms scheduling problems with consideration of three performance measures, namely minimum mean job flow time, mean job tardiness, and minimum mean machine idle time, simultaneously. In addition, hybrid heuristics, which are a combination of two common local search methods, simulated annealing and tabu search, are also proposed for solving the addressed fms scheduling problems. The feasibility and adaptability of the proposed heuristics are investigated through experimental results. (c) 2004 Elsevier Ltd. All rights reserved.
Hybrid Dynamical (or Switched Server) approach is a relatively new direction in the solution of fms scheduling problems. The theoretical results in this field are promising, but a number of questions should be cleared...
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Hybrid Dynamical (or Switched Server) approach is a relatively new direction in the solution of fms scheduling problems. The theoretical results in this field are promising, but a number of questions should be cleared for practical applications. Some of these are: How to choose demand rates? How to provide the stability of processes in multi-machine group cases? What are the main characteristics of the processes and how to determine the suitable values of the parameters? In relation to the first two questions, proposals are given in the present paper. For demand rates determination, relations, giving the upper and lower boundary values are proposed. For multi-machine group processing, the controlled buffer technique was developed. In relation to the others, simulation studies are proposed. Two of the simulation approaches are described in this paper and some demonstration is also given. The simulation results obtained from case studies show that the overlapping production obtained using the hybrid dynamical approach (HDA) are far more effective than batch processing. The decrease of production times may reach 20-30% or more. (C) 2003 Published by Elsevier Ltd.
Two fundamental approaches can be adopted for heterarchical scheduling of flexible manufacturing systems: resource-based scheduling or product-based scheduling. The first part of this paper defines the basic concepts ...
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Two fundamental approaches can be adopted for heterarchical scheduling of flexible manufacturing systems: resource-based scheduling or product-based scheduling. The first part of this paper defines the basic concepts of these two methods (modeling, structure design methodology, communication protocols). The second describes the specific advantages and drawbacks of these two approaches using the results provided to illustrate the discussion. The final section considers a real implementation of the product-based heterarchical philosophy. (C) 2004 Elsevier Ltd. All fights reserved.
Two fundamental approaches can be adopted for heterarchical scheduling of flexible manufacturing systems: resource-based scheduling or product-based scheduling. The first part of this paper defines the basic concepts ...
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Two fundamental approaches can be adopted for heterarchical scheduling of flexible manufacturing systems: resource-based scheduling or product-based scheduling. The first part of this paper defines the basic concepts of these two methods (modeling, structure design methodology, communication protocols). The second describes the specific advantages and drawbacks of these two approaches using the results provided to illustrate the discussion. The final section considers a real implementation of the product-based heterarchical philosophy. (C) 2004 Elsevier Ltd. All fights reserved.
This paper is concerned with scheduling in flexible manufacturing systems (fmss) using a fuzzy logic (FL) approach. Four fuzzy input variables: machine allocated processing time, machine priority, due date priority an...
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This paper is concerned with scheduling in flexible manufacturing systems (fmss) using a fuzzy logic (FL) approach. Four fuzzy input variables: machine allocated processing time, machine priority, due date priority and setup time priority are defined. The job priority is the output fuzzy variable, showing the priority status of a job to be selected for next operation on a machine. The model will first select the machines and then assign operations based on a multi-criteria scheduling scheme. The performance of the approach is compared against established methods reported in the literature. The performance measures considered average machine utilisation, meeting due dates, setup times, work in process and mean flow times. The test results demonstrate the superiority of the fuzzy logic approach in most performance measures.
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