Integration of process planning and scheduling using chaotic particle swarm optimization algorithm

Petrović, Milica; Vuković, Najdan; Mitić, Marko; Miljković, Zoran

doi:10.1016/j.eswa.2016.08.019

Cited by 75 publications

(44 citation statements)

References 33 publications

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“…Petrović et al [3] proposed a hybrid algorithm based on PSO and chaos theory. The advantages of the hybrid algorithm have been proven through many benchmarks by comparisons with other approaches.…”

Section: Literature Reviewmentioning

confidence: 99%

“…As manufacturing technology has improved over time, normal machine tools now coexist with numerically controlled machine tools and machining centres in many workshops [28]; however, because different machines have similar functions, multiple process routes are designed for the same workpiece to fully utilize different machines [1][2][3]. Designing multiple process routes for a workpiece is of great significance for improving the flexibility of scheduling and reducing resource conflicts [1][2][3]. IPPS problem involves parallel machines and alternative process routes simultaneously.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The independent and serial running mode of the two subsystems may lead to unrealistic process routes, uneven resource utilization, and bottlenecks in scheduling [1][2][3]. Integration of the two subsystems is an effective method to eliminate conflicts of resources, shorten finishing times of workpieces, and improve machine utilization [1][2][3]. The integration of process planning with scheduling is important for the development of manufacturing systems.…”

Section: Introductionmentioning

confidence: 99%

“…A process planning subsystem determines the process route for each workpiece, and a scheduling subsystem allocates manufacturing resources according to the results from the process planning subsystem [1][2][3]. The independent and serial running mode of the two subsystems may lead to unrealistic process routes, uneven resource utilization, and bottlenecks in scheduling [1][2][3]. Integration of the two subsystems is an effective method to eliminate conflicts of resources, shorten finishing times of workpieces, and improve machine utilization [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

“…In traditional manufacturing, they are performed independently in series. A process planning subsystem determines the process route for each workpiece, and a scheduling subsystem allocates manufacturing resources according to the results from the process planning subsystem [1][2][3]. The independent and serial running mode of the two subsystems may lead to unrealistic process routes, uneven resource utilization, and bottlenecks in scheduling [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A Mathematical Model for Multiworkshop IPPS Problem in Batch Production

Yang

et al. 2018

Mathematical Problems in Engineering

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Integrated Process Planning and Scheduling (IPPS) problem is an important issue in production scheduling. Actually, there exit many factors affecting scheduling results. Many types of workpieces are commonly manufactured in batch production. Moreover, due to differences among process methods, all processes of a workpiece may not be performed in the same workshop or even in the same factory. For making IPPS problem more in line with practical manufacturing, this paper addresses an IPPS problem with batches and limited vehicles (BV-IPPS). An equal batch splitting strategy is adopted. A model for BV-IPPS problem is established. Makespan is the objective to be minimized. For solving the complex problem, a particle swarm optimization (PSO) with a multilayer encoding structure is proposed. Each module of the algorithm is designed. Finally, case studies have been conducted to validate the model and algorithm.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Mathematical Model for Multiworkshop IPPS Problem in Batch Production

Yang

et al. 2018

Mathematical Problems in Engineering

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Production Scheduling Requirements to Smart Manufacturing

Alemão

Rocha

Barata

2019

IFIP Advances in Information and Communication Technology

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The production scheduling has attracted a lot of researchers for many years, however most of the approaches are not targeted to deal with real manufacturing environments, and those that are, are very particular for the case study. It is crucial to consider important features related with the factories, such as products and machines characteristics and unexpected disturbances, but also information such as when the parts arrive to the factory and when should be delivered. So, the purpose of this paper is to identify some important characteristics that have been considered independently in a lot of studies and that should be considered together to develop a generic scheduling framework to be used in a real manufacturing environment.

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Single Mobile Robot Scheduling Problem: A Survey of Current Biologically Inspired Algorithms, Research Challenges and Real-World Applications

Miljković

Petrović

2019

New Technologies, Development and Application II

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Integration of process planning and scheduling using chaotic particle swarm optimization algorithm

Cited by 75 publications

References 33 publications

A Mathematical Model for Multiworkshop IPPS Problem in Batch Production

A Mathematical Model for Multiworkshop IPPS Problem in Batch Production

Production Scheduling Requirements to Smart Manufacturing

Single Mobile Robot Scheduling Problem: A Survey of Current Biologically Inspired Algorithms, Research Challenges and Real-World Applications

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