scholarly journals Bulk Storage of Citrus Juice Concentrate

Author(s):  
Morris W. Ratcliff

Bulk holding tanks for the storage of juice and concentrates are becoming a way of life in the Florida Citrus Processing Industry. Most of the processors in this industry either have now or are considering some form of bulk tank system. These tanks vary from a few hundred gallons up to one hundred thousand gallons capacity. Outside the State of Florida there are fruit juice holding tanks which approach three hundred thousand gallons, and the wine industry exceeds even this in tank capacity. Tanks of both vertical and horizontal structure are in use. These tanks may be made of stainless steel, coated mild steel, fiberglass reinforced resin or coated concrete. Reinforced, collapsible neoprene “cushion” tanks of up to forty thousand gallons capacity are in use. Paper published with permission.

2003 ◽  
Vol 50 (4) ◽  
pp. 188-192 ◽  
Author(s):  
Hiroshi Yada ◽  
Nobuki Gato ◽  
Hidenori Nagatomo ◽  
Yoshihiro Chuda ◽  
Hiroshi Ono ◽  
...  

2004 ◽  
Author(s):  
Francois Nolle ◽  
Daqing Sun ◽  
Alberecht Höhn
Keyword(s):  

2017 ◽  
Vol 3 (3) ◽  
pp. 81 ◽  
Author(s):  
Ayşegül Tuş Işık ◽  
Esra Aytaç Adalı

Apple juice concentrate is the second consumed fruit juice all around the world, behind the orange juice concentrate. The characteristics of the apple juice concentrate namely the acidity level and the sweetness of the processed product vary depending on the variety of the apple. So the selection of the most appropriate apple among the alternatives in the fresh market is not easy task for food companies. This selection may be handled as Multi Criteria Decision Making (MCDM) problem. This paper presents the new decision making approach based on two MCDM methods, Entropy and ROV (Range of Value), for the apple selection problem of a food company that produces apple juice concentrate. Entropy method determines the weights of the criteria whereas ROV method ranks the alternatives. The invention of this paper is Entropy and ROV are combined firstly in the literature.


2011 ◽  
Vol 127 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Nongluk Sriwilaijaroen ◽  
Akio Kadowaki ◽  
Yuriko Onishi ◽  
Nobuki Gato ◽  
Makoto Ujike ◽  
...  

Life Sciences ◽  
2002 ◽  
Vol 72 (6) ◽  
pp. 659-667 ◽  
Author(s):  
Hirotoshi Utsunomiya ◽  
Susumu Takekoshi ◽  
Nobuki Gato ◽  
Hisao Utatsu ◽  
Evangeline D Motley ◽  
...  

2017 ◽  
Vol 8 (1) ◽  
pp. 81 ◽  
Author(s):  
Ayşegül Tuş Işık ◽  
Esra Aytaç Adalı

Apple juice concentrate is the second consumed fruit juice all around the world, behind the orange juice concentrate. The characteristics of the apple juice concentrate namely the acidity level and the sweetness of the processed product vary depending on the variety of the apple. So the selection of the most appropriate apple among the alternatives in the fresh market is not easy task for food companies. This selection may be handled as Multi Criteria Decision Making (MCDM) problem. This paper presents the new decision making approach based on two MCDM methods, Entropy and ROV (Range of Value), for the apple selection problem of a food company that produces apple juice concentrate. Entropy method determines the weights of the criteria whereas ROV method ranks the alternatives. The invention of this paper is Entropy and ROV are combined firstly in the literature.


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