THE APPLICATION OF QUALITY FUNCTION DEPLOYMENT AND ANALYTIC HIERARCHY PROCESS TECHNIQUES FOR QUALITY IMPROVEMENT OF AGRICULTURAL MACHINERY PARTS LOGISTICS

Main Article Content

ลลิลธร มะระกานนท์

Abstract

This research represents the application of quality function deployment (QFD) and analytic hierarchy process techniques (AHP) for quality improvement of agricultural machinery parts logistics. The objective of this research was to determine the specifications of agricultural machinery parts logistics services appropriately. The procedures were transformed 35 customers’ opinions into quality function deployment for engineering design, then calculated the average conversion rate of the importance rating (IMP) into technical requirement. Moreover, the absolute technical requirement importance (ATRI) and the relative technical requirement importance (RTRI) were calculated and screened for the specification of quality improvement of agricultural machinery parts logistics. The results of this research indicated that there were five characteristics of specifications as follows: the reduction of redundant work, the improvement of transport management system, the improvement of transport vehicles and equipment to ensure safety, training for employees and service providers, and recommendation of service information, respectively. After development the logistics services as of customer requirement and satisfaction assessment, the customers’ overall satisfaction was at a high level. The obtained results will improve the quality of agricultural machinery parts logistics services for manufacturer and other industrial service providers.

Article Details

How to Cite
มะระกานนท์ ล. (2017). THE APPLICATION OF QUALITY FUNCTION DEPLOYMENT AND ANALYTIC HIERARCHY PROCESS TECHNIQUES FOR QUALITY IMPROVEMENT OF AGRICULTURAL MACHINERY PARTS LOGISTICS. Journal of Industrial Education, 16(3), 21–28. Retrieved from https://ph01.tci-thaijo.org/index.php/JIE/article/view/129204
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Research Articles

References

[1] Musikarayakul, M., Saributr, U., & Sindhuphak, A. 2015. Development office furniture case study: call center. Journal of Industrial Education, 14(2), p.598-605.

[2] Roengtham, K., Atthirawong, W., & Rojniruttikul, N. 2013. Delivery efficiency of just-in-time production system for automotive part suppliers cast study: Siam Hi-Tech Center co., ltd. Journal of Industrial Education, 12(3), p.124-132.

[3] Ho, W., He, T., Lee, C. K. M., & Emrouznejad, A. 2012. Strategic logistics outsourcing: an integrated QFD and fuzzy AHP approach. Expert Systems with Applications, 39(12), p.10841–10850.

[4] Chowdhury, M. M. H., & Quaddus, M. A. 2015. A multiple objective optimization based QFD approach for efficient resilient strategies to mitigate supply chain vulnerabilities: The case of garment industry of Bangladesh. Omega, 57, p.5-21.

[5] Liao, C. N., & Kao, H. P. 2014. An evaluation approach to logistics service using fuzzy theory, quality function development and goal programming. Computers & Industrial Engineering, 68, p.54-64.

[6] Hsu, C. H., Chang, A. Y., & Luo, W. 2017. Identifying key performance factors for sustainability development of SMEs–integrating QFD and fuzzy MADM methods. Journal of Cleaner Production, 161, p.629-645.

[7] Pakizehkar, H., Sadrabadi, M. M., Mehrjardi, R. Z., & Eshaghieh, A. E. 2016. The Application of Integration of Kano's Model, AHP Technique and QFD Matrix in Prioritizing the Bank's Substructions. Procedia-Social and Behavioral Sciences, 230, p.159-166.

[8] de Fátima Cardoso, J., Casarotto Filho, N., & Miguel, P. A. C. 2015. Application of Quality Function Deployment for the development of an organic product. Food Quality and Preference, 40, p.180-190.

[9] Moldovan, L. 2014. QFD employment for a new product design in a mineral water company. Procedia Technology, 12, p.462-468.