An automatic scheduling method for weaving enterprises based on genetic algorithm

Wang, Jingan; Pan, Ruru; Gao, Weidong; Wang, Hongbo

doi:10.1080/00405000.2014.995463

Cited by 12 publications

(5 citation statements)

References 13 publications

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“…These resource constraints limit machines from processing all of them simultaneously because of the limited number of workers on the shop floor. Wang et al [29] utilized GA for generating an automatic scheduling method to minimize downtime and gaiting load to obtain efficiency in weaving enterprises. Perret et al [30] proposed a two-stage algorithm using tabu search and job-wise shift operator to utilize it in the mass customized production processes and decrease the production cost.…”

Section: Scheduling In Textile Manufacturingmentioning

confidence: 99%

Applying Job Shop Scheduling to SMEs Manufacturing Platform to Revitalize B2B Relationship

Choi¹,

Hwang²,

Kim³

2023

Computers, Materials &Amp; Continua

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A small and medium enterprises (SMEs) manufacturing platform aims to perform as a significant revenue to SMEs and vendors by providing scheduling and monitoring capabilities. The optimal job shop scheduling is generated by utilizing the scheduling system of the platform, and a minimum production time, i.e., makespan decides whether the scheduling is optimal or not. This scheduling result allows manufacturers to achieve high productivity, energy savings, and customer satisfaction. Manufacturing in Industry 4.0 requires dynamic, uncertain, complex production environments, and customer-centered services. This paper proposes a novel method for solving the difficulties of the SMEs manufacturing by applying and implementing the job shop scheduling system on a SMEs manufacturing platform. The primary purpose of the SMEs manufacturing platform is to improve the B2B relationship between manufacturing companies and vendors. The platform also serves qualified and satisfactory production opportunities for buyers and producers by meeting two key factors: early delivery date and fulfillment of processing as many orders as possible. The genetic algorithm (GA)-based scheduling method results indicated that the proposed platform enables SME manufacturers to obtain optimized schedules by solving the job shop scheduling problem (JSSP) by comparing with the real-world data from a textile weaving factory in South Korea. The proposed platform will provide producers with an optimal production schedule, introduce new producers to buyers, and eventually foster relationships and mutual economic interests.

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Section: Scheduling In Textile Manufacturingmentioning

confidence: 99%

Applying Job Shop Scheduling to SMEs Manufacturing Platform to Revitalize B2B Relationship

Choi¹,

Hwang²,

Kim³

2023

Computers, Materials &Amp; Continua

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“…Conversely, if these changes do not help in natural selection, natural selection will eliminate unsuccessful changes as the challenge of survival continues to increase. Because GA replaces many computationally expensive deterministic optimization methods, it is becoming increasingly popular in the engineering field [13][14][15].…”

Section: The Genetic Algorithmmentioning

confidence: 99%

Manufacturing resources modeling based on features for manufacturability

Zhao

Zhang

et al. 2022

Preprint

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Manufacturability evaluation is the effective way to shorten the period of development, optimize the manufacturing process and reduce the product costs. The manufacturability of a product depends on the processing ability of specific manufacturing resources. The building of the manufacturing resources model is the foundation for manufacturability evaluation. To better utilize the information of manufacturing resources, the hybrid algorithm of fuzzy c-means clustering algorithm (FCM) and genetic algorithm (GA) is implemented in this paper to group manufacturing resources based on manufacturing and geometric features. The information model of manufacturing resources is built by using the object-oriented method and the framework of manufacturability evaluation based on the manufacturing resources is defined. An application sample is exploited and its results are analyzed. The grouping result shows that the hybrid algorithm is reliable and effective.

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“…If these changes are aided by natural selection, a new species is formed; conversely, if these changes do not aid natural selection, it eliminates any unsuccessful changes as the challenge to survive continues to increase. Because GA replaces many computationally expensive deterministic optimization methods, it has gained increasing popularity in the engineering field 19 – 21 .…”

Section: Hybrid Algorithm Of Fcm and Ga For Grouping Manufacturing Re...mentioning

confidence: 99%

Modeling manufacturing resources based on manufacturability features

Zhao

Zhang

et al. 2022

Sci Rep

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Manufacturability evaluation is an effective way to shorten the development period, optimize manufacturing processes, and reduce product costs. The manufacturability of a product depends on the processing ability of specific manufacturing resources. The development of a manufacturing resources model serves as the foundation for manufacturability evaluation. To better utilize the information on manufacturing resources, this study adopted a hybrid approach by integrating the fuzzy c-means clustering algorithm and the genetic algorithm to group manufacturing resources based on manufacturing and geometric features. The information model of manufacturing resources was built by using the object-oriented method. Subsequently, the framework to evaluate manufacturing capability based on manufacturing resources was defined. Further, an application sample was exploited and its results were analyzed. The results of the subgroup showed that the hybrid algorithm was reliable and valid and helped improve the overall performance of the company chosen for this study. The proposed approach enhanced feasibility in decision-making and facilitated the management to make more informed decisions.

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An automatic scheduling method for weaving enterprises based on genetic algorithm

Cited by 12 publications

References 13 publications

Applying Job Shop Scheduling to SMEs Manufacturing Platform to Revitalize B2B Relationship

Applying Job Shop Scheduling to SMEs Manufacturing Platform to Revitalize B2B Relationship

Manufacturing resources modeling based on features for manufacturability

Modeling manufacturing resources based on manufacturability features

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