scholarly journals An Assessment of Smart Factories in Korea: An Exploratory Empirical Investigation

2020 ◽  
Vol 10 (21) ◽  
pp. 7486
Author(s):  
Minjae Ko ◽  
Chul Kim ◽  
Seunghoon Lee ◽  
Yongju Cho
Keyword(s):  
Performance Indicator ◽  
Difficult Problem ◽  
Smart Factory ◽  
Manufacturing Strategy ◽  
Manufacturing Companies ◽  
Demand Forecast ◽  
Product Demand ◽  
The Government ◽  
And Performance ◽  
Smart Factories

After the Industry 4.0 discussion in Germany in 2011, much attention has been paid to smart factory in Korea. Since 2014, smart factories have been established and expanded in Korea. However, about 80% of them were established at a low level. In this paper, we analyze smart factory statuses in detail through an empirical research on 113 manufacturing companies that have established smart factories in Korea. We build a framework based on the resource-based view (RBV) and IT value creation process and analyze the results of five constructs—manufacturing strategy, organization, system, process, and performance—using basic statistical methodologies to derive the current statuses of manufacturing companies that have established smart factories. Our results show that implementing advanced technologies such as AI technology that can implement semi-finished and finished product quality inspection, manufacturing process optimization and product demand forecast is a challenge, particularly for SMEs. We also find that securing and managing facility data is a difficult problem. In addition, while output and material management ranked high, the utilization of integration systems, which is important when building a smart factory, was found to be extremely low. Lastly, the performance indicator results showed that yield management and defect rate were most important, while job creation through the introduction of smart factories was low. Based on the results of this study, the government may be able to determine effective smart factory policies and provide manufacturing companies with a guide on establishing a smart factory.

scholarly journals A comprehensive KPI network for the performance measurement and management in global production networks

2021 ◽  
Author(s):  
B. Verhaelen ◽  
F. Mayer ◽  
S. Peukert ◽  
G. Lanza
Keyword(s):  
Performance Measurement ◽  
Corporate Strategy ◽  
Performance Indicator ◽  
Production Network ◽  
Manufacturing Companies ◽  
Production Networks ◽  
Global Production Networks ◽  
Performance Review ◽  
And Performance ◽  
Corporate Level

AbstractThe trend of globalization has led to a structural change in the sales and procurement markets of manufacturing companies in recent decades. In order not to be left behind by this change, companies have internationalized their production structures. Global production networks with diverse supply and service interdependencies are the result. However, the management of global production networks is highly complex. Key performance indicator (KPI) networks already exist at the corporate level and site level to support the management of complex systems. However, such KPI networks are not yet available to support the management of entire production networks. In this article, a KPI network for global production networks is presented, which links the key figures of the site level and the corporate level. By integrating both levels into a comprehensive KPI network, cause and effect relationship between the production-related KPIs and the strategic KPIs of a corporate strategy become transparent. To this end, this KPI network is integrated into a Performance Measurement and Management (PMM) methodology. This methodology consists of three phases: performance planning, performance improvement, and performance review. For testing the practical suitability, the PMM methodology is applied to the production network of an automotive supplier using a simulation model to estimate the effects of proposed improvement actions of the methodology.

scholarly journals Upaya Strategis Pemerintah Kota Surakarta dalam Mewujudkan Profesionalisme Sumber Daya Manusia Aparatur

2019 ◽  
Vol 2 (3) ◽  
pp. 436-449
Author(s):  
Henny Juliani
Keyword(s):  
Human Resources ◽  
Public Service ◽  
Performance Indicator ◽  
Secondary Data ◽  
Work Load ◽  
Organization Performance ◽  
Public Servants ◽  
The Government ◽  
And Performance

Abstract The professionalism of human resources of public servants in executing public service tasks, governmental tasks, and specific development tasks are often perceived with bad stigma, particularly in negative issues on quality and performance aspects. Based on this fact, Government of Surakarta Municipality perform strategic efforts in improving the professionalism of human resources of public servants to their quality and performance will increase as well as can realizing prime services to the citizen.  This research uses an empirical juridical approach. While the specification of the research is analytical descriptive, and the source of data comprises of primary and secondary data. The result of research was analyzed quantitatively.   Based on the research, it can be concluded that in improving the professionalism of human resources of public servants, the Government of Surakarta Municipality perform strategic efforts, namely: 1. They are fulfilling demand of number of human resources of public servants with specific qualification, 2 and improving capacity and quality of human resources of public servants that relevant to improve their competency, 3 and applying e-Performance as a system to evaluate performance of human resources of public servants in manage personal work load as well as organization, performance indicator achievement as a basic calculation of work achievement and incentive reward, 4 and applying discipline penalty in accordance to behavior of human resources of public servants. Strategic efforts of Government of Surakarta Municipality complied with the regulation of PerMenPan dan RB No.38 Year 2018 regarding Measurement of Professionalism of Human Resources of Public Servants, which is measured by using 4 (four) dimension, comprises of a. Qualification, b. Competence, c. Performance, and d. Discipline.      Keywords: Public Servants, Government Of Surakarta Municipality Abstrak Penelitian ini bertujuan untuk mengetahui upaya strategis pemerintah Kota Surakarta dalam mewujudkan profesionalisme sumber daya manusia aparatur.  Penelitian ini menggunakan metode pendekatan yuridis empiris. Adapun spesifikasi penelitian adalah deskriptif analitis, dengan sumber data yang diperoleh secara primer dan sekunder. Hasil penelitian selanjutnya akan dianalisis secara kualitatif. Berdasarkan hasil penelitian, maka dapat diketahui bahwa dalam meningkatkan profesionalisme SDM Aparatur, Pemerintah Kota Surakarta melakukan upaya strategis yang berupa: 1. Pemenuhan kebutuhan jumlah SDM Aparatur dengan kualifikasi tertentu, 2. Peningkatan kapasitas dan kualitas SDM Aparatur, yang berkaitan dengan peningkatan kompetensi, 3. Penerapan E-Kinerja sebagai sistem penilaian kinerja SDM Aparatur dalam mengelola beban kerja personil maupun organisasi, capaian indikator kinerja sebagai dasar perhitungan prestasi kerja serta pemberian insentif kerja, 4. Penerapan hukuman disiplin yang berkaitan dengan  perilaku kerja SDM Aparatur. Upaya strategis yang dilakukan oleh Pemerintah Kota Surakarta tersebut sudah sejalan dengan ketentuan PerMenPan dan RB Nomor 38 Tahun 2018 tentang Pengukuran Indeks Profesionalitas Aparatur Sipil Negara, yang diukur dengan menggunakan 4 (empat) dimensi, meliputi: a. Kualifikasi, b. Kompetensi, c. Kinerja, dan d. Disiplin. Kata kunci: Aparatur Sipil Negara, Pemerintah Kota Surakarta

scholarly journals Establishment of an IoT-based smart factory and data analysis model for the quality management of SMEs die-casting companies in Korea

2019 ◽  
Vol 15 (10) ◽  
pp. 155014771987937
Author(s):  
Sangwoo Park ◽  
Kim Changgyun ◽  
Sekyoung Youm
Keyword(s):  
Data Analysis ◽  
Internet Of Things ◽  
Die Casting ◽  
Smart Factory ◽  
Analysis Model ◽  
Data Mining Technique ◽  
Casting Parameter ◽  
The Government ◽  
Casting Industry ◽  
Smart Factories

In this research, an Internet of things–based smart factory was established for a die-casting company that produces automobile parts, and the effect of casting parameters on quality was analyzed using data collected from the system. Most of the die-casting industry in Korea consists of small- and medium-sized enterprises with inferior finances and skeptical views about the establishment of a smart factory. In response, the Korean government is providing various types of support to spread the implementation of smart factories for small- and medium-sized enterprises. Although small- and medium-sized enterprises have become more active in establishing smart factories according to the government policies, the effect of smart factories requires real-time monitoring. A monitoring system has been built but the data collected are not being utilized properly. Therefore, it is necessary to establish a system suitable for the die-casting environment and data analysis purposes and to utilize it to enable the analysis of data. To this end, we established to smart factory that provides data based on the Internet of things. Among the data collected, casting parameter data were analyzed through a data mining technique to establish a relationship between casting parameters and the quality of production. It is expected that a method of systematic implementation will be provided to die-casting companies that want to build smart factories in the future and that a plan for managing casting parameter by-product will be established. In addition, algorithms that can solve the problem of multi-collinearity among the casting parameters and aid in the development of new products are needed to detect optimum casting parameters.

scholarly journals Design of the competitiveness model in leather tanning industry

2020 ◽  
Vol 18 (2) ◽  
pp. 1-8
Author(s):  
Muhamad Dzikron ◽  
Ina Primiana ◽  
Umi Kaltum ◽  
Dermawan Wibisono
Keyword(s):  
Manufacturing Industry ◽  
Partial Least Square ◽  
Least Square ◽  
Manufacturing Strategy ◽  
Leather Industry ◽  
Leather Tanning ◽  
Asean Countries ◽  
The Government ◽  
And Performance ◽  
Operational Processes

The Indonesian leather industry has low competitiveness among ASEAN Countries. The government, entrepreneurs, and researchers are trying to find solutions to improve competitiveness. However, there are differences in understanding the dimensions of competitiveness. This research aims to con¬struct and validate the competitiveness model in the manufacturing industry. In general, the concept of competitiveness is more oriented to the final result than to the process dimension. To improve competitiveness, this study using a manufacturing strategy approach based on process capability. The design of the competitiveness model contains the relationship between exogenous and endogenous variables with formative patterns. Exogenous variables are dimensions that makeup competitiveness, consisting of resources, operational processes, and performance. The data were obtained from 42 leather tanning factories in Indonesia, which was analyzed using Partial Least Square. This study reveals that industrial competitiveness is influenced by the dimensions of resources, operational pro¬cesses, and performance, where the dimensions of operational processes have a greater influence. This research confirms that the government and entrepreneurs must prioritize process capabilities to improve their competitiveness.

scholarly journals PENGUKURAN KINERJA CUSTOMER RELATIONSHIP MANAGEMENT (CRM) MENGGUNAKAN CRM SCORECARD DAN OMAX

2017 ◽  
Vol 3 (2) ◽  
Author(s):  
Ahmad Aviv Mahmudi ◽  
Ngadenan Ngadenan
Keyword(s):  
Human Resources ◽  
Customer Relationship Management ◽  
Performance Indicator ◽  
Relationship Management ◽  
Customer Relationship ◽  
Utilization Of Technology ◽  
Practice Performance ◽  
Two Factors ◽  
The Government ◽  
And Performance

UMKM Batik Tulis Lasem is one of the superior products from Rembang that continue to be developed by the government. UMKM Batik Tulis Lasem still many difficulties on their progression, especially in marketing, others are the utilization of technology, lack of innovation, capital and low quality of human resources. Another obstacle that is often faced by UMKM who are members of the Koperasi Batik Tulis Lasem are marketing and maintain the existing market. In addition, owners who are members of Koperasi Batik Tulis Lasem also pay less attention to marketing strategy and maintaining customer relationship. Measuring the performance of UMKM Batik Tulis Lasem by identifying KPI (Key Performance Indicator) measure the practice performance of Customer Relationship Management (CRM using CRM Scorecard) through four CRM perspectives. The assessment of each perspective uses the AHP (Analytical Hierarchy Prosses) method and scoring of performance on each level or CRM factors using the OMAX (Objective Matrix) method.Through CRM scorecard describes a performance measurement of the implementation of Customer Relationship Management (CRM) in Koperasi Batik Tulis Lasem so that the results of these measurements show some perspectives that need to be improved efficiency and performance of an organization. From the perspective of performance organizations have two factors, six factors from the perspective of consumer, three factors from the perspective of process, seven factors from the perspective of infrastructure. Four perspective that affect the performance of CRM generally can be known Good Performance of Koperasi Batik Tulis. There are only three criteria that are at the bad level. They are improving participation of management, increase human resources capability and increasing customer relationship value. The results expected to increase customer satisfaction and loyalty in the Koperasi Batik Tulis Lasem . Key word: AHP, Batik Tulis, CRM, CRM scorecard, OMAX.

scholarly journals Analisis Persepsi Pengunjung Terhadap Ketersediaan Produk Wisata Di Pantai Sauwmyen Distrik Oransbari Kabupaten Manokwari Selatan

2021 ◽  
Vol 4 (1) ◽  
pp. 37-49
Author(s):  
Bartolomeus Kawey ◽  
Rumas Alma Yap ◽  
Naftali Mansim
Keyword(s):  
Performance Indicator ◽  
Distribution Analysis ◽  
Tourist Attractions ◽  
Satisfaction Index ◽  
Tourism Product ◽  
Analysis Technique ◽  
Beach Tourism ◽  
Local Residents ◽  
The Government ◽  
And Performance

Tourism products are an important part of the development of tourism sector. the real conditions of tourism products in the form of tourist attractions, facilities, at the location of the tourism attraction at the Sauwmyen beach re not very supportive for tourist activity. this condition will certainly greatly affect the experience and comfort travel. This study aims to determine the perceptions of tourists about the condition of tourism products and the comfort of tourist visitors obtained during a trip to Sauwmyen Beach, Oransbari district, South Manokwari Regency. Frequency distribution analysis technique, Customer Satisfaction Index (CSI) and the IPA (Import and Performance Analysis) approach were used as analysis methods. Result showed that the availability of tourism product in the form of tourism attraction excitability and adequate facilities are not fully found at the location of tourist object, there for their result of data analysis show that respondents’ perceptions of tourism product at tourist object are less satisfied. Then according to reality then the comfort of tourist visitors while in tourist sites is less satisfied. Then the strategy is the need for the development of sauwmyen beach tourism object by local residents and the government to improve performance, indicator tourism product that have a primary need for visitors and can be seen in the respondents of each individual in terms of their interest and performance for the development of a better Sauwmyen beach tourism object in the future to be used by all tourists.

scholarly journals Performance Dashboard Sebagai Visualisasi Evaluasi Diri Perguruan Tinggi Menggunakan Pendekatan User-Centric

2021 ◽  
Vol 3 (3) ◽  
pp. 144-151
Author(s):  
Adam Bachtiar Maulachela ◽  
Abdurahim Abdurahim ◽  
Jihadil Qudsi ◽  
Muhammad Tajuddin
Keyword(s):  
Performance Indicator ◽  
Strategic Plan ◽  
National Standards ◽  
Ministry Of Education ◽  
Self Evaluation ◽  
User Centric ◽  
The Government ◽  
And Performance ◽  
University Leaders ◽  
The University

The Government of Indonesia, through the Ministry of Education and Culture, mandates each university to organize quality education. To produce graduates who meet national standards of higher education (SN-Dikti). Hence, each university must evaluate its performance to know its current condition. Unfortunately, most universities in Indonesia have difficulty in measuring their performance. Therefore, the university becomes difficult to establish a strategic plan forward. This study aims to produce a performance dashboard that can help university leaders evaluate their performance. This Performance Dashboard visualizes Key Performance Indicator (KPI) information from a strategic plan in one screen. This research uses a user-centric approach with four main stages, namely, identification of needs, planning, prototype design, and prototype review to produce the performance dashboard. The Performance Dashboard produces interactive gauge charts (baseline, targets, and performance achievements) so that it can visualize university KPI information. The results of user reviews showed that the KPI visualization by the performance dashboard was declared correct and could be useful as a guide in preparing a self-evaluation.

scholarly journals Advances in Sensor Technologies in the Era of Smart Factory and Industry 4.0

Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 6783
Author(s):  
Tahera Kalsoom ◽  
Naeem Ramzan ◽  
Shehzad Ahmed ◽  
Masood Ur-Rehman
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Low Cost ◽  
Intelligent Manufacturing ◽  
Smart Factory ◽  
Future Research ◽  
Manufacturing Processes ◽  
Manufacturing Companies ◽  
Different Types ◽  
Smart Factories

The evolution of intelligent manufacturing has had a profound and lasting effect on the future of global manufacturing. Industry 4.0 based smart factories merge physical and cyber technologies, making the involved technologies more intricate and accurate; improving the performance, quality, controllability, management, and transparency of manufacturing processes in the era of the internet-of-things (IoT). Advanced low-cost sensor technologies are essential for gathering data and utilizing it for effective performance by manufacturing companies and supply chains. Different types of low power/low cost sensors allow for greatly expanded data collection on different devices across the manufacturing processes. While a lot of research has been carried out with a focus on analyzing the performance, processes, and implementation of smart factories, most firms still lack in-depth insight into the difference between traditional and smart factory systems, as well as the wide set of different sensor technologies associated with Industry 4.0. This paper identifies the different available sensor technologies of Industry 4.0, and identifies the differences between traditional and smart factories. In addition, this paper reviews existing research that has been done on the smart factory; and therefore provides a broad overview of the extant literature on smart factories, summarizes the variations between traditional and smart factories, outlines different types of sensors used in a smart factory, and creates an agenda for future research that encompasses the vigorous evolution of Industry 4.0 based smart factories.

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