Cost comparisons are made using generalized cost functions, accounting for transport cost and time.
It can also be combined with the dynamic simulation tests to constitute the simulation test platform with more thorough functions and reduce the development cost and time of dynamic test system [21, 22].
In addition, the second row indicates that the selected processing routes for each part and the last row, the obtained costs for five terms in the objective function, total cost, and solving time of the software are given.
Here, we consider the lead time crashing cost is an exponential function of lead time, and the order processing cost and lost sales rate are logarithmic functions of capital investment.
In addition, the first definition is an inverse of cost, and cost is a function of activity time and number of required resource per day.
However, the solution of an optimization problem using a cost functional (a function of functions of time) is quite different, and substantially harder to solve, than previous optimization problems using cost functions, which depended simply on two variables (such as substrate and enzyme levels in [ 25]).
As can be seen from this figure, the number of uniform datasets (green line) exhibits slow growth initially, but then increases slightly as a function of time and cost.
1) The increase of objective function costs and solution times with respect to tighter approximations for all instances examined.
The comprehensive cost function considers not only direct-processing cost, but also indirect-processing cost (transportation cost and time-factor cost including both earliness and tardiness).
Pan and Hsiao (2001) proposed an integrated inventory model with controllable lead time and backorder discount in which lead time crashing cost is a function of reduced lead time and orders quantities.
