India is one of the leading producers, processors, and exporters of cashews in the world. Cashew processing units are primarily small and medium enterprises (SMEs) and are highly labor intensive. Productivity and efficiency of processing is a primary concern for cashew processing firms that operate with limited resources. Using a multiple-case study approach, this study compared the productivity and efficiency of automated cashew processing with the manual processing. Employees' perception towards automation was also examined. A comparative analysis was performed for the five stages of cashew processing : Sorting, shelling, peeling, grading, and packaging. Purposive sampling method was used to select five SMEs that used either manual or automated processing methods. The study identified the processing method that was the most efficient at each stage, taking into account both quantitative and qualitative data. It was found that automation of the cashew processing increased productivity by at least 10 times. It was also found that almost all the five stages required manual intervention as automation cannot completely replace humans. Due to high health hazards and fatigue, workers favored use of automated processing over manual processing. Health risk was high in the shelling and peeling stages of cashew processing. Fatigue due to repetitive work was high in sorting, grading, and peeling stages. Managerial implications for SME owners who plan to deploy automation technologies in their firms were also discussed.

1. Bhatt, N. (2016). Modelling of the factors influencing the implementation of advance manufacturing technologies in MSME. Global Journal of Enterprise Information System, 8(3), 12-26. <a href=http://dx.doi.org/10.18311/gjeis/2016/15652 target="_blank">http://dx.doi.org/10.18311/gjeis/2016/15652 </a>
2. Cashew Export Promotion Council of India. (CEPCI). (2019). Statistics. Retrieved from <a href=http://cashewindia.org/statistics target="_blank">http://cashewindia.org/statistics</a>
3. Fagbemi, T. N. (2008). The influence of processing techniques on the energy, ash properties and elemental composition of cashew nut (Anacardium occidentale Linn). Nutrition & Food Science, 38(2), 136-145. <a href=http://dx.doi.org/10.1108/00346650810863019 target="_blank">http://dx.doi.org/10.1108/00346650810863019</a>
4. Groover, M. P. (2005). Automation, production systems and computer-integrated manufacturing. Upper Saddle River, New Jersey: Prentice Hall.
5. Gunasekara, C. (2011). Technology mediation programs and SME innovative activities. Prabandhan : Indian Journal of Management, 4(11), 20-28. <a href=http://dx.doi.org/10.17010/pijom/2011/v4i11/62644 target="_blank">http://dx.doi.org/10.17010/pijom/2011/v4i11/62644</a>
6. Khan, A., & Nasser, K. (2016). Advanced manufacturing technologies for smart and competitive businesses. The IUP Journal of Operations Management, 15(3), 7-17.
7. Kumar, P. V. V., Susmitha, T., Yamuna, P., & Yamini, B. (2016). Competitive challenge of cashew industry in Andhra Pradesh (with reference to Prakasam, East & West Godavari Districts). International Journal of Research in Commerce & Management, 7(11), 85-87. Retrieved from <a href=https://ijrcm.org.in/article_info.php?article_id=7136 target="_blank">https://ijrcm.org.in/article_info.php?article_id=7136</a>
8. Mishev, G. (2006). Analysis of the automation and the human worker, connection between the levels of automation and different automation concepts. Department of Industrial Engineering and Management, Jönköping School of Engineering, Sweden. Retrieved from <a href=https://www.diva-portal.org/smash/get/diva2:228706/FULLTEXT01.pdf target="_blank">https://www.diva-portal.org/smash/get/diva2:228706/FULLTEXT01.pdf </a>
9. Misztal, A., Butlewski, M., Jasiak, A., &, Janik, S. (2015). The human role in a progressive trend of foundry automation. Metalurgija, 54(2), 429-432. Retrieved from <a href=https://core.ac.uk/download/pdf/25564877.pdf target="_blank">https://core.ac.uk/download/pdf/25564877.pdf</a>
10. Mrugalska, B., Wyrwicka, M., & Zasada, B. (2016). Human-automation manufacturing industry system: Current trends and practice. In, F. Rebelo & M. Soares (eds.), Advances in ergonomics in design, advances in intelligent systems and computing (485, pp. 137-145). Switzerland: Springer International Publishing. <a href=http://dx.doi.org/10.1007/978-3-319-41983-1_13 target="_blank">http://dx.doi.org/10.1007/978-3-319-41983-1_13</a>
11. Nair, A., Ataseven, C., & Swamidass, P.M. (2013). An examination of the use of manufacturing technologies and performance implications in US plants with different export intensities. International Journal of Production Research, 51(11), 3283-3299. <a href=http://dx.doi.org/10.1080/00207543.2013.765069 target="_blank">http://dx.doi.org/10.1080/00207543.2013.765069</a>
12. Namdeo, N.A., Koulagi, K., & Wader, L. K. (2007). Grade development and study of price-quality relationship of cashew nut in north district of Goa. Agricultural Economics Research Review, 20, 171-176. Retrieved from <a href=https://ageconsearch.umn.edu/record/47434 target="_blank">https://ageconsearch.umn.edu/record/47434</a>
13. Ojolo, S.J., Damisa, O., Orisaleye, J.I., & Ogbonnaya, C. (2010). Design and development of cashew nut shelling machine. Journal of Engineering, Design and Technology, 8(2), 146-157. <a href=http://dx.doi.org/10.1108/17260531011062528 target="_blank">http://dx.doi.org/10.1108/17260531011062528</a>
14. Percival, J. C., & Cozzarin, B. P. (2010). Complementarities in the implementation of advanced manufacturing technologies. The Journal of High Technology Management Research, 21(2), 122-135. <a href=http://dx.doi.org/10.1016/j.hitech.2010.05.002 target="_blank">http://dx.doi.org/10.1016/j.hitech.2010.05.002</a>
15. Sohal, A.S., Burcher, P.G., Millen, R., & Lee, G. (1999). Comparing American and British practices in AMT adoption. Benchmarking: An International Journal, 6(4) 310-324. <a href=http://dx.doi.org/10.1108/14635779910297415 target="_blank">http://dx.doi.org/10.1108/14635779910297415</a>
16. Teng, H.S.S. (2014). Qualitative productivity analysis: Does a non-financial measurement model exist ? International Journal of Productivity and Performance Management, 63(2), 250-256. <a href=http://dx.doi.org/10.1108/IJPPM-03-2013-0034 target="_blank">http://dx.doi.org/10.1108/IJPPM-03-2013-0034</a>
17. Wu, B. (2012). Manufacturing systems design and analysis, Netherlands: Springer Science & Business Media. <a href=http://dx.doi.org/10.1007/978-94-011-3128-5 target="_blank">http://dx.doi.org/10.1007/978-94-011-3128-5</a>