PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2020 | 11 | nr 1 | 13--22
Tytuł artykułu

Industrial Design of Kansei Engineering-based Sensor for Industry

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Up to date, workload and worker performance in Small Medium-sized Enterprise (SMEs) was assessed manually. KESAN (Kansei Engineering-based Sensor for Agroindustry) was developed as a tool to assess worker workload and performance. The latest prototype of KESAN was established. As the final step prior to the full-scale mass production, an industrial design was required and must be designed based on the validation to user needs. This research proposed an industrial design for mass production of KESAN using Kano model and Quality Function Deployment (QFD). The user needs was extracted from attributive analysis of Kano model. The matrix of House of Quality (HOQ) was utilized to connect the user needs and technical requirement. The research result validated Thirteen (13) user need attributes. The most important attribute was desktop application as an integrated decision support system. Fourteen (14) technical requirement attributes were identified to fulfil the user needs. Finally, a prototype was developed based on product final specification and prioritized technical requirements. The SMEs's manager could use the prototype for workplace environmental management. (original abstract)
Rocznik
Tom
11
Numer
Strony
13--22
Opis fizyczny
Twórcy
  • Universitas Gadjah Mada, Indonesia
  • Universitas Gadjah Mada, Indonesia
  • Universitas Gadjah Mada, Indonesia
Bibliografia
  • Ushada M., Okayama T., Khuriyati N., Suyantohadi A., Affective Temperature Control in Food SMEs using Artificial Neural Network, Applied Artificial Intelligence, 31, 7-8, 555-567, 2017.
  • Ushada M., Okayama T., Suyantohadi A., Khuriyati N., Putro N.A.S., Sensor for temperature set points in agroindustrial production system, [in:] Bahasa Indonesia: Alat penentu suhu acuan lingkungan kerja ergonomis di sistem produksi agroindustri, Patent Pending (Patent Application Indonesia No: P00201703623 on 8 Juni, 2017), 2017.
  • Ushada M., Okayama T., Suyantohadi A., Khuriyati N., Fudholi D.R., Integrated workload assesment sensor for agro-industrial production system, [in:] Bahasa Indonesia: Alat penilai beban kerja terpadu di sistem produksi agroindustri, Patent Pending (Patent Application Indonesia No: P00201601182 on February 24, 2016), 2016.
  • Tontowi A.E., Desain Produk Inovatif & Inkubasi Bisnis Kompetitif, Yogyakarta: Gadjah Mada University Press, 2016.
  • Ulrich K.T., Eppinger S.D., Product Design and Development, 3rd edn, New York : McGraw-Hill, 2004.
  • Kuijt-Evers L.F.M., Morel K.P.N., Eikelenberg N.L.W., Vink P., Application of the QFD as a design approach to ensure comfort in using hand tools: Can the design team complete the House of Quality appropriately?, Applied Ergonomics, 40, 519-526, 2009.
  • Na L., Xiaofei S., Yang W., Ming Z., Decision Making Model Based on QFD Method for Power Utility Service Improvement, System Engineering Procedia, 4, 243-251, 2012.
  • Liu H., Product design and selection using fuzzy QFD and fuzzy MCDM approaches, Applied Mathematical Modelling, 35, 482-496, 2011.
  • Evers Kuijet L.F.M., Morel K.P.N., Eikelenberg N.L.W., Vink P., Application of the QFD as a design approach to ensure comfort in using hand tools: Can the design team complete the House of Quality appropriately?, Applied Ergonomics, 40, 1, 519-526, 2009.
  • Agassi T., Ushada M., Suyantohadi A., User Needs Analysis for Industrial Design of Kansei Engineering-based Sensor for Agroindustry (KESAN), Proceeding of International Conference of Science and Technology 2018, August 7-8, IEEE Xplore Digital Library, 2018.
  • Lin Ling-Zhong, Huery-Ren Yeh, Ming-Chao Wang, Integration of Kano's model into FQFD for Taiwanese Ban-Doh banquet culture, Tourism Management, 46, 245-262, 2015.
  • Suryaningrat Djumarti, Indah Kurniawati, Application of Quality Function Deployment to improve quality of corn-based noodle, [in:] Bahasa: Aplikasi Metode Quality Function Deployment untuk Peningkatan Kualitas Produk Mie Jagung, Jurnal Agrotek, 1, 4, 8-17, 2010.
  • Wagiono Y.K., Hamrah, Quality Function Deployment for Information Improvement of Melon Variety Assembly, [in:] Bahasa Indonesia: Metode Quality Function Deployment (QFD) untuk Informasi Penyempurnaan Perakitan Varietas Melon, Jurnal Agribisnis dan Ekonomi Pertanian, 1, 2, 48-56, 2007.
  • Kotler P., Marketing Management The Millenium Edition, New Jersey: Prentice Hall, 2000.
  • Xu Q., Jiao R.J., Yang X., Helander M., An Analytical Kano Model For Customer Need Analysis, Design Studies, 30, 1, 87-110, 2009.
  • Ushada M.A., Suyantohadi N., Khuriyati N., Putro N.A.S, Integrated Ergonomic Assesment System for Food Production, [in:] Bahasa Indonesia: Sistem Penilaian Ergonomi pada Produksi Pangan, Patent Pending (Patent Application Indonesia No: P00201804325 on 8 Juni, 2018), 2018.
  • Ushada M., Suyantohadi A., Khuriyati N., Okayama T., Identification of Environmental Ergonomics Control System for Indonesian SMEs, 3rd International Conference on Control, Automation and Robotics, IEEE Xplore Digital Library, 2017.
  • Rizki Z.P., Ushada M., Pamungkas A.P., Analysis of environmental ergonomics in rice distribution center, IOP Conf. Ser.: Earth Environ. Sci. 355 012025, 2019, https://doi.org/10.1088/1755-1315/355/1/012025.
  • Trianasari M., Ushada M., Suharno, Ergonomic Risk Analysis for Cassava Noodle Production System Using Occupational Repetitive Action (OCRA), Proceedings of the 5th International Conference on Science and Technology (ICST 2019), 2019.
  • Ushada M., Okayama T., Suyantohadi A., Artificial Neural Network Model for Affective Environmental Control System in Food SMEs, Telkomnika, 16, 3, 1317-1323, 2018.
  • Ushada M., Putro N.A.S., Khuriyati N., An Intelligent Incentive Model Based on Environmental Ergonomics for Food SMEs, Journal of Engineering and Technological Sciences, 51, 6, 839-864, 2019.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171587614

Zgłoszenie zostało wysłane

Zgłoszenie zostało wysłane

Musisz być zalogowany aby pisać komentarze.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.