Development of Green-Affective Work System for Food SMEs

Abstract

Work system of food Small and Medium-sized Enterprises (SMEs) is influenced by various factors as worker performance, characteristics of raw material, value-added process and workplace environmental ergonomics. Green-affective design analyzes properties of work systems and how these technical attributes could be sensible to the environment (Green) and worker (Affective). The research objectives were: 1) To explore the relationship between green and affective parameters in work systems of Food SMEs; 2) To design a green-affective work system for Food SMEs. Six (6) SMEs of different food products were used for the case studies as Crackers, Nuggets, Fish Chips, Bakpia, Tempe and Herbal Instant Beverages. Air conditioner was suggested to set the temperature set points for controlling environmental ergonomics. Green parameters were analyzed using calculation of air conditioner electricity cost at different workplace temperature set point. Affective parameters were analyzed using heart rate, worker energy consumption and rowan incentive plan. Research findings indicated air conditioner could be used to control environmental ergonomics based on the satisfied temperature set points and efficient electricity cost in work system of food SMEs.

 

Keywords: Air Conditioner; Environmental Ergonomics; Heart Rate; Rowan Incentive Plan

References
[1] Ali, F., W. G., Kim, K. Ryu. 2016. The effect of Physical Environment on Passenger Delight and Satisfaction: Moderating Effect of National Identity, Tourism Management Volume 57, Page 213-Page 224

[2] Anonym, 2016. Keputusan Gubernur Daerah Istimewa Yogyakarta No:255/KEP/2015 Tentang Upah Minimum Kabupaten/Kota Tahun 2016 di Daerah Istimewa Yogyakarta

[3] Astuti, B. (1985) in Pramestari, D. 2012. Penentuan Insentif Kerja Berdasarkan Fisiologi Kerja Operator (In Bahasa Indonesia). Proceeding of National Seminar of Ergonomy 2012. ISBN: 978-602-17085-0-7

[4] Dües, C. M.,Tan, K. H.,Lim, M., 2016. Green as The New Lean: How to Use Lean Practices as a Catalyst to Greening Your Supply Chain. Journal of Cleaner Production, Volume 40, Page 93- Page 100

[5] García-Mainar, I., V. M. Montuenga, M. Navarro-Paniagua. 2015. Workplace Environmental Conditions and Life Satisfaction in Spain, Ecological Economics Volume: 119, Page 136-Page 146

[6] Kabanshi, A.,H. Wigö, R. Ljung, P. Sörqvist. 2016. Experimental Evaluation of an Intermittent Air Supply System Part 2: Occupant Perception of Thermal Climate. Building and Environment, 108, 99-109

[7] Liu, W., Q. Deng, W. Ma, H. Huangfu, J. Zhao. 2013. Feedback from Human Adaptive Behavior to Neutral Temperature in Naturally Ventilated Buildings: Physical and Psychological Paths. Building and Environment, Volume: 67, Page 240-Page 249

[8] Parsons, K. C.. 2000. Environmental ergonomics: A Review of Principles, Methods and Models, Applied Ergonomics, Volume: 31, Page 581-Page594.

[9] Rowan, J. (1901) in Pramestari, D. 2012. Penentuan Insentif Kerja berdasarkan Fisiologi Kerja Operator (In Bahasa Indonesia). Proceeding of National Seminar of Ergonomy 2012. ISBN: 978-602-17085-0-7

[10] Tanabe, S.,M. Haneda, N. Nishihara. 2015. Workplace Productivity and Individual Thermal Satisfaction, Building and Environment, Volume: 91, Page 42- Page 50

[11] Ushada, M., A. Suryandono, M.A.F., Falah„ N. Khuriyati, A. Wicaksono and H. Murase. 2014. Performance Evaluation of Moss Rooftop Greening Prototype in a Confined Space. Engineering in Agriculture, Environment and Food. 7(1): 46-51

[12] Ushada, M., T. Okayama, A. Suyantohadi, N. Khuriyati, D. R. Fudholi. 2016a. 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)

[13] Ushada, M., N. Khuriyati, T. Okayama, A. Suyantohadi. 2016b. Development of Kansei-based Temperature Control Model for Workstation of Agro-industry, Proceeding 2nd International Symposium on Agricultural and Biological Engineering. Lombok, Indonesia.

[14] Ushada, M., N.A.S, Putro, T. Okayama, 2016c. An Artificial Neural Network Model for Signal Processing of Environmental Ergonomics in SMEs Clusters, Proceeding of 2016 International Symposium on Multimedia and Communication Technology. Tokyo, Japan, page 83 – 86.

[15] Wang, N., J. Zhang, X. Xia. 2013. Energy Consumption of Air Conditioners at Different Temperature Set Points. Energy and Buildings Volume 65, Page 412-Page418

[16] Wang, F., Z. Chen, Q., Feng, Q., Zhao, Z. Cheng, Z.,Guo, Z.,Zhong. 2016. Experimental Comparison Between Set-point Based and Satisfaction Based Indoor Thermal Environment Control, Energy and Buildings Volume 128, Page 686-Page 696