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BEST QUALITY TOMATO SELECTION BY SUPPLY CHAIN STRATEGY FOR RENEWABLE ENERGY Thanh Nguyen, Phong; Le Hoang Thuy To Nguyen, Quyen; Hashim, Wahidah; Maseleno, Andino; Susilowati, Tri; Suyono, Suyono; Bich Huynh, Vy Dang; Bich Vu, Ngoc; Phuc Le, Loan; Dang Vo, Khoa; Thanh Phan, Phuong
International Journal of Supply Chain Management Vol 8, No 5 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (284.333 KB)

Abstract

World agriculture still faces challenges quite fundamental, it is about the quality issues and the increasing of competitiveness through productivity and the eficiency. This research focused on the criteria of best tomato types and how to apply the Simple Additive weighting method (SAW) into a Decision Support System (DSS) for election best quality tomato that can assist farmers in determining the best type of tomato for renewable energy and supply chain strategy, based on the criteria that have been chosen, such as: tomato size, tomato color, tomato shape and tomato disease. By using the application of Simple Additive weighting method into Decision Support Systems value, it can be concluded that V5 is the best quality tomato and has a predicate value of 83.75 with the fragile values, as follows: 50-69 = Enough, 70-82 = Good, 83-100 = Best.
OPTIMIZATION OF MAIN FACTORS AFFECTING CONSTRUCTION WASTE BY THE SUPPLY CHAIN MANAGEMENT Thanh Nguyen, Phong; Dang Vo, Khoa; Thanh Phan, Phuong; Le Hoang Thuy To Nguyen, Quyen; Bich Huynh, Vy Dang
International Journal of Supply Chain Management Vol 8, No 5 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (642.779 KB)

Abstract

A survey report of the Vietnam Urban Environment and Industrial Zone Association reveals that every day in 2009, about 1,000 tons of construction waste were generated in Hanoi and 2,000 tons Ho Chi Minh City in Vietnam. It is forecasted that the coming years would see a vigorously growing amount of construction waste as a result of the plan to dismantle and renovate old apartment buildings in major cities. So, in this research we developed a supply chain management strategy for the waste controlling in the construction industry. While the bulky volume of construction wastes poses a great environmental threat to urban areas, response to it remains meager. Hence, this paper presents four primary factors affecting the management of construction wastes in Vietnam using fuzzy logic.