ABSTRACT
Sorting vegetables is essential to obtain quality vegetables when they are received. Thus, it can be linked to the accuracy in the balance of demand and supply. Fuzzy inference system is used for sorting fresh and non-fresh vegetables, followed by ABC analysis to classify vegetables that will be prioritized based on the highest sales revenue. Fuzzy variables based on the characteristics of vegetables of visual and storage temperature are used to determine the shelf life and quality of vegetables as a decision model in sorting out which priority level should be sent first to the customer. Therefore, the Sugeno method is implemented to help decision making in the company effectively and efficiently. This model is developed by making quality warning procedures based on a more accurate inventory because of the increased demand. It can reduce the lack of stock due to poor quality to avoid the company to experience deprivation and loss of sales.
- D. Dalalah. 2017. Management of age differentiated perishable inventory. IEEE International Systems Engineering Symposium (ISSE), Vienna, 2017, pp. 1--6.Google ScholarCross Ref
- Ketzenberg, Michael, Jacqueline Bloemhof, dan Gary Gaukler. 2014. Managing Perishables with Time Temperature History. Production and Operations Management 0(0), pp. 1--17Google Scholar
- Muriana, Cinzia. 2016. An EOQ Model for Perishable Products with Fixed Shelf Life Under Stochastic Demand Conditions. European Journal of Operational Research Vol255, Issue 2, 1, pp. 388--396Google Scholar
- Silver, Edward A., David F. Pyke, and Douglas J. Thomas. 2017. Inventory and Production Management in Supply Chains 4th Edition. CRC Press, Taylor & Francis GroupGoogle Scholar
- Kusumadewi. S dan H. Purnomo. 2013. Aplikasi Logika Fuzzy Untuk Mendukung Keputusan edisi ke-2. Yogyakarta: Graha IlmuGoogle Scholar
- Gelley, Ned and Roger Jang. 2000. Fuzzy Logic Toolbox. USA: Mathwork, IncGoogle Scholar
- Cox, Earl. 1994. The Fuzzy Systems Handbook (A Prsctitioner's Guide to Buliding, Using, and Maintaining Fuzzy Systems). Massachusetts: Academic Press, IncGoogle Scholar
- Zimmermann, H.J. 1996. Fuzzy Set Theory and Its Application Third Edition. Boston, MA: Kluwer Academic Publishers.Google Scholar
- Nunes, Maria Cecilia do Nascimento. 2008. Color Atlas of Postharvest Quality of Fruits and Vegetables. USA: Blackwell PublishingGoogle Scholar
Index Terms
- The Conceptual Framework of Inventory Management for Quality Warnings on Perishable Goods
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