Readiness Assessment Towards Smart Manufacturing System for Tuna Processing Industry in Indonesia

International Conference on Industrial and Systems Engineering 2017

Anggrahini, D.^1,3 ; Kurniati, N.^1,3 ; Karningsih, P.D.^1,3 ; Parenreng, S.M.^2 ; Syahroni, N.^3,4

Department of Industrial Engineering, Institut Teknologi Sepuluh Nopember, Kampus ITS, Sukolilo-Surabaya

60111, Indonesia^1

Department of Industrial Engineering, Hasanuddin University, Makassar, Indonesia^2

Marine Research Centre, Institut Teknologi Sepuluh Nopember, Kampus ITS, Sukolilo-Surabaya

60111, Indonesia^3

Ocean Engineering Department, Institut Teknologi Sepuluh Nopember, Kampus ITS, Sukolilo-Surabaya

60111, Indonesia^4

关键词: Exploratory studies;    High-speed processing;    Integrated manufacturing;    Internet of thing (IOT);    National development;    Processing industry;    Readiness assessment;    Small to medium enterprise;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/337/1/012060/pdf
DOI  :  10.1088/1757-899X/337/1/012060

来源: IOP

【 摘 要 】

Marine product processing is one of the top priority clusters in the national development. Tuna, as a kind of deep ocean fishes, has the highest number of production that significantly increased throughout the years. Indonesia government encourages tuna processing industry, which are mostly dominated by small to medium enterprises, to grow continuously. Nowadays, manufacturers are facing substantial challenges in adopting modern system and technology that will lead a significant improvement through the internet of things (IoT). A smart factory transform integrated manufacturing process, in a high speed processing to respond customer needs. It has some positive impacts, such as increasing productivity, reducing set up time, shortening marketing and other support activities, hence the process is being more flexible and efficient. To implement smart manufacturing system, factories should know the readiness at any level of them, technology capability and strategy appropriateness. This exploratory study aims to identify the criterias, and develop an assessment tools to measure the level towards smart factory.