תפריט נגישות
ניגודיות עדינהניגודיות גבוהה
מונוכרום
הדגשת קישורים
חסימת אנימציה
פונט קריא
סגור
איפוס הגדרות נגישות
להורדת מודול נגישות חינם תפריט נגישותניגודיות עדינהניגודיות גבוההמונוכרוםהדגשת קישוריםחסימת אנימציהפונט קריאסגוראיפוס הגדרות נגישותלהורדת מודול נגישות חינםQueuing network contains a series of service facilities (in our case, culture tanks or ponds), at some or all of which, a customer (fish) must receive service; it is, therefore, necessary to study the entire network. A culture tank or pond can be seen as a queuing system in which neither a queue (“over-holding” of fish in tank A before being moved to tank B), nor an idle pond is allowed, and arrival and departure rates are equal. The entire farm can be seen as a queuing network. A queuing model for optimizing the management parameters of a recirculating aquaculture system was developed. The model validity was statistically tested and was not rejected within the 95% confidence level, therefore, the model can be useful for both research and practical applications. The model aims to optimize: (1) the system layout, (2) the fish batch arrival frequency, (3) the number of fingerlings in a batch, (4) the number of days in each culture tank, and (5) grading criteria along the production lines. Under our local farm conditions we found that: the “2, 4, 8 layout” was a superior layout; the optimal operating parameters were: arrival of a batch every 36 days; 72 days at the nursery stage (up to 25 g); followed by 144 days (up to 200 g) at each successive growth phase. The optimal values maintain biomass density criterion of 80 kg m− 3 and tank utilization criterion of never below 99%.
Queuing network contains a series of service facilities (in our case, culture tanks or ponds), at some or all of which, a customer (fish) must receive service; it is, therefore, necessary to study the entire network. A culture tank or pond can be seen as a queuing system in which neither a queue (“over-holding” of fish in tank A before being moved to tank B), nor an idle pond is allowed, and arrival and departure rates are equal. The entire farm can be seen as a queuing network. A queuing model for optimizing the management parameters of a recirculating aquaculture system was developed. The model validity was statistically tested and was not rejected within the 95% confidence level, therefore, the model can be useful for both research and practical applications. The model aims to optimize: (1) the system layout, (2) the fish batch arrival frequency, (3) the number of fingerlings in a batch, (4) the number of days in each culture tank, and (5) grading criteria along the production lines. Under our local farm conditions we found that: the “2, 4, 8 layout” was a superior layout; the optimal operating parameters were: arrival of a batch every 36 days; 72 days at the nursery stage (up to 25 g); followed by 144 days (up to 200 g) at each successive growth phase. The optimal values maintain biomass density criterion of 80 kg m− 3 and tank utilization criterion of never below 99%.
