Spencer B. Smith. Computer-Based Production and Inventory Control. PrenticeHall, 1989. Home/Search Document Not in Database Summary Related Articles Check |
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Applying Cooperative Coevolution - To Inventory Control (1996) (Correct)
....the optimal continuous order quantity which minimizes the total cost during a period of time with demand r, ordering cost k, and carrying cost h per unit. The optimal continuous order quantity will likely result in a non integral number of units. Rounding generally produces a satisfactory result [27], particularly if the order quantity is large relative to the amount of change required in rounding. However, rounding to the closest feasible discrete value does not necessarily produce the optimal solution. If the order quantity is quite small and must be in integers, or if the order quantity ....
....demand are known with certainty in advance. The order point is simply set equal to the demand during the lead time. As long as demand during lead time is deterministic, carrying and ordering costs are the same whether lead time is zero or positive, and determination of the EOQ remains unchanged [27]. MRP Lot Sizing With the emergence of material requirements planning (MRP) systems, a need arose for methods of determining lot sizes under conditions quite different from those assumed by the EOQ formula. Specifically, these new conditions are as follows: 1. Deterministic demand Items ....
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Spencer B. Smith. Computer-Based Production and Inventory Control. PrenticeHall, 1989.
Applying Cooperative Coevolution To Inventory Control Parameter.. - Eriksson (1996) (1 citation) (Correct)
....the optimal continuous order quantity which minimizes the total cost during a period of time with demand r, ordering cost k, and carrying cost h per unit. The optimal continuous order quantity will likely result in a non integral number of units. Rounding generally produces a satisfactory result [27], particularly if the order quantity is large relative to the amount of change required in rounding. However, rounding to the closest feasible discrete value does not necessarily produce the optimal solution. If the order quantity is quite small and must be in integers, or if the order quantity is ....
....demand are known with certainty in advance. The order point is simply set equal to the demand during the lead time. As long as demand during lead time is deterministic, carrying and ordering costs are the same whether lead time is zero or positive, and determination of the EOQ remains unchanged [27]. Chapter 2. Background 32 MRP Lot Sizing With the emergence of material requirements planning (MRP) systems, a need arose for methods of determining lot sizes under conditions quite different from those assumed by the EOQ formula. Specifically, these new conditions are as follows: 1. ....
[Article contains additional citation context not shown here]
Spencer B. Smith. Computer-Based Production and Inventory Control. PrenticeHall, 1989.
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