https://orcid.org/0000-0002-1644-8462
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ABSTRACT
This study aimed to model group preference decision-making to implement Industry 4.0 on food and beverage small- and medium-sized enterprises (SMEs). An ant colony optimisation was adopted to model the decision-making process based on the travelling salesman problem. The model was demonstrated on three preferences of Industry 4.0, namely, ergonomic work methods, machineries and tools, and e-commerce and promotion. The Likert-scale Kansei words data were obtained from 120 SMEs’ manager in Indonesia. The data were then plotted to Cartesian coordinates with the x and y-axes showing the mode and average values, respectively, and were simulated in a sequence using ACO. The results indicated that machinery and tools were the most preferred to implement Industry 4.0. Adaptiveness was the most preferred attribute in making the first decision. The benchmarking demonstrated ACO performed better than genetic algorithm in modelling group preference. The group preference was also compared to trust level and the finding showed a high correlation between both constructs. The high trust in the group preferences is expected to contribute for the sustainability of Industry 4.0. The method enriches various existing theoretical approaches for group preference decision-making and applicable to assist the SME’s management for implementation of Industry 4.0.
Acknowledgements
The research was supported by the Ministry of Research and Technology of the Republic of Indonesia’s 2020 National Competitive Research Grants of ‘Penelitian Dasar Kompetitif Nasional’ (No. 1982/UN1/DITLIT/DIT-LIT/PT/2020). Partial funding for the benchmarking group preference and trust was supported by Universitas Gadjah Mada, Center of Agrotechnology Innovation (Pusat Inovasi Agroteknologi-UGM) by the 2021 Research Grants of ‘Penelitian Inovasi Agroteknologi’ (No. 2241/UN1.P.III/PIAT/PT/2021).
Disclosure statement
No potential conflict of interest was reported by the author(s).
Ethical statement
The research ethical clearance was approved by the Research Ethics Committee of Universitas Gadjah Mada No: KE/FK//0879/EC/2020 (Approval Date: 5 August 2020).
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Notes on contributors
Mirwan Ushada
Dr. Mirwan Ushada currently serves as an Associate Professor in the Department of Agroindustrial Technology, Faculty of Agricultural Technology, Universitas Gadjah Mada. He received his PhD in Applied Life Sciences at Osaka Prefecture University, Japan. He is an expert board member of the Ergonomics Association of Indonesia (PEI), the Former General Secretary of Agroindustrial Society of Indonesia (APTA) 2012-2020, and an active member of Food Technology Society of Indonesia (PATPI).
Rosa Amalia
Rosa Amalia, MSc is a Junior Lecturer in the Department of Agroindustrial Technology, Faculty of Agricultural Technology, Universitas Gadjah Mada. She obtained her MSc from the Master Program of Agroindustrial Technology, Universitas Gadjah Mada. She is an active member of IAAI (international association of agroindustry).
Fitri Trapsilawati
Dr. Fitri Trapsilawati is an Assistant Professor in the Department of Mechanical and Industrial Engineering, Faculty of Engineering, Universitas Gadjah Mada. She received her PhD from Nanyang Technological University, Singapore. She currently serves as an expert board member of the Ergonomics Association of Indonesia (PEI).
Nur Achmad Sulistyo Putro
Nur Achmad Sulistyo Putro, MCs is a Junior Lecturer in the Department of Computer Science and Electronics, Faculty of Mathematics and Natural Sciences, Universitas Gadjah Mada. He received his MCs from the Master Program of Computer Science, Universitas Gadjah Mada.