Table 17. Comparison of Average and "Most Efficient" Performances 

 of Certain Delivery Operations^ 



^ Times can be converted to aggregate man minutes by multiplying by number of men. 

 - Carrying to upper floors almost eliminated. 

 ^ Includes partial unloading to upper floors. 



Figure 9 was designed for use with the preceding formula. In effect it 

 is the (M.m) position; route mileage can be read vertically to the curve 

 and the product (M.m) in minutes horizontally from that point. The curve 

 was interpolated from plottings of interval averages from actual bagged 

 and bulk routes. The interpolated curve exhibits the logical behavior of 

 increasing average miles per hour with greater route length. It can logically 

 pass through the origin since it covers only truck travel time and no other 

 time factors. 



Following are some examples of the use of the route time formula, 

 utilizing data from Table 17 and the interpolated curve in Figure 9. 



Examples 

 Assume the following: 



(1) Route 40 miles round trip 



(2) 6 stops on route, 9 settings 



(3) 100 bags on load 



(4) Average amount of delay for data average route; 



none for most efficient 



(A) With one man on truck 

 Data Average: 



Rt = 1[95 + 9(0.8) +6(3.0) + 100 (0.56)] + 1[.025 (176.2)] 

 Rt = 180.6 minutes 



"Most Efficient": 

 Rt = 1[95 + 9(0.5) + 6(1.0) + 100(0.39)] + 1 [.025(0)] 

 Rt = 144.5 minutes 



(B) With two men on truck 



Data Average: 



Rt rr 2[95 + 9(1.4) + 6(2.1) + 100 (0.33)] + 2 [.025 (1532)] 



Rt = 2 (157.0) =r 314.0 



"Most Efficient": 



Rt =r 2[95 + 9(0.5) + 6(1.0) + 100 (0.18)] + 2 [.025 (0)] 



Rt = 2(123.5) = 247.0 



36 



