A cut-to-order strategy for one-dimensional cable cutting and a case study

2012 ◽  
Vol 29 (8) ◽  
pp. 572-586
Author(s):  
Haomiao Jin ◽  
Zhengxiao Wang ◽  
Chen-Fu Chien
Keyword(s):  
2018 ◽  
Vol 13 (1) ◽  
pp. 7
Author(s):  
Aries Susanty ◽  
Haryo Santoso ◽  
Pramudiastuti Nursyachbani

AbstrakPenelitian ini memiliki dua tujuan. Pertama, penelitian ini bertujuan untuk mengindentifikasi item layanan pendidikan dan non pendidikan yang dianggap penting untuk peningkatan kepuasan mahasiswa Fakultas Teknik Univesitas Diponegoro (UNDIP). Kedua, penelitian ini bertujuan untuk menyusun sejumlah rekomendasi untuk perbaikan atas item layanan pendidikan  dan non pendidikan yang dianggap penting tersebut. Terdapat 7 dimensi dan 28 item layanan yang digunakan untuk mengindentifikasi jenis layanan pendidikan dan non Pendidikan yang diterima oleh mahasiswa Fakultas Teknik UNDIP. Penelitian ini menggunakan Metode Kano dan Taguchi untuk mengindentifikasi item layanan pendidikan dan non pendidikan yang dianggap paling penting. Dalam hal ini, Metode Kano digunakan untuk memilih sejumlah item layanan pendidikan dan non pendidikan yang termasuk dalam kelompok attractive dan one-dimentional. Adapun Metode Taguchi digunakan untuk dua hal, yang pertama yaitu memverifikasi hasil pengelompokan dari Metode Kano sehingga diperoleh hasil yang lebih optimal dan mengurutkan  prioritas perbaikan dari item-item layanan yang termasuk dalam kelompok  attractive dan one-dimentional. Data untuk penelitian ini diperoleh dari hasil pengisian kuesioner oleh 120 responden untuk kuesioner Kano dan 60 responden untuk kuesioner Taguchi. Hasil pengolahan data dengan menggunakan Metode Kano menunjukkan bahwa terdapat 6 item layanan yang termasuk dalam kategori one-dimensional dan terdapat 2 item layanan .yang termasuk dalam kategori attractive. Selanjutnya, pengolahan data dengan menggunakan  Metode Taguchi diperoleh bahwa terdapat 2 item layanan yang perpindah dari one-dimensional ke attractive dan 1 item layanan yangberpindah dari attractive ke one-dimensional. AbstractAnalysis of the type of educational and non-educational services that are important for the enhancement of student satisfaction (case study Faculty of Engineering, Diponegoro University)] This research has two objective. First this study aims to identify the type of educational and non-educational services that are important for the satisfaction’s enhancement of the student of Faculty Engineering, Diponegoro University. Second, this study aims to formulate some recommendation for improving the type of educational and non-educational services that are important for the satisfaction’s enhancement of the student of Faculty Engineering. There are 7 dimensions and 28 indicators used to identify the type of educational and non-educational received by the student. This research uses the Kano and Taguchi method to identify the type of educational and non-educational services that are important for student. In this case, the Kano method is used to identify educational and non-educational services that are include attractive and one-dimensional categories. Whereas the Taguchi method is used to verify Kano’s categorize result for getting more optimal result than Kano method and to put priorities in the right order of those services that are include attractive and one-dimensional categories. Data for this research is got from questionnaires that were distributed to 120 respondents for Kano method and 60 respondents for Taguchi method. Kano method’s result showed that there are 6 type of services that are include in one-dimensional category and 2 type of services that are include in attractive category.  However, based on validation result that is using Taguchi method showed that there are 5 type of services that are include in one-dimensional category and 3 type of services that are include in attractive category.Keywords: Educational and Non-educational Services; Satisfaction’s Enhancement of Student; Faculty of Engineering Diponegoro Univesity; Kano Method; Taguchi Method.


Energies ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 5286 ◽  
Author(s):  
Ugochukwu Ejike Akpudo ◽  
Jang-Wook Hur

This paper develops a novel hybrid feature learner and classifier for vibration-based fault detection and isolation (FDI) of industrial apartments. The trained model extracts high-level discriminative features from vibration signals and predicts equipment state. Against the limitations of traditional machine learning (ML)-based classifiers, the convolutional neural network (CNN) and deep neural network (DNN) are not only superior for real-time applications, but they also come with other benefits including ease-of-use, automated feature learning, and higher predictive accuracies. This study proposes a hybrid DNN and one-dimensional CNN diagnostics model (D-dCNN) which automatically extracts high-level discriminative features from vibration signals for FDI. Via Softmax averaging at the output layer, the model mitigates the limitations of the standalone classifiers. A diagnostic case study demonstrates the efficiency of the model with a significant accuracy of 92% (F1 score) and extensive comparative empirical validations.


2019 ◽  
Vol 11 (18) ◽  
pp. 4830 ◽  
Author(s):  
Manuela Ingaldi ◽  
Robert Ulewicz

Personalization, mobility, deliveries on the same day, and perhaps artificial intelligence—all of these elements will shape e-commerce in the near future. It is necessary to consider what features and standards online shops will have to meet in order to achieve success and to adapt to the changing preferences and requirements of the customer and their awareness of the perception of the environment through the prism of, for example, sustainable development. This means there is a need to specify a set of attributes that will influence the decision to use the services of a given e-shop. Despite all efforts, many online shops fail because they do not meet the expectations of customers. At the same time, meeting customer expectations is a big challenge for newly emerging e-shops. There are many studies on sustainable development in e-commerce, but there is no specific methodology for e-shop design, especially in the aspect of sustainable development. The authors propose a methodology based on Kano’s model and customer satisfaction to explore customers’ stated needs and unstated desires and to divided them into different groups with different impacts on customer satisfaction. In this paper, a case study on the attributes of customer satisfaction for a newly opened e-shop with organic products, which is to operate in the countries of Central Europe and takes into account selected assumptions of sustainable development, was presented. The research took the form of an original (authorial), universal survey that can be used in other similar research. A total of 1069 correctly completed surveys were taken into account for the analysis. Respondents indicated 16 must-have features for the e-shop in order to make customers benefit from its services and 11 one-dimensional features that will determine the level of customer satisfaction. Among the must-have features, there were those related to sustainable development, which indicates the environmental awareness of potential customers. The obtained results were given to the management of the research e-shop and were included during the design of its operation. After one to two years of e-shop operation, the results will be verified.


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