Vendor Managed Inventory (VMI) is one of the effective techniques for managing the inventory in supply *** models have been proven to reduce the cost of inventory compared with traditional economic order quantity meth...
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Vendor Managed Inventory (VMI) is one of the effective techniques for managing the inventory in supply *** models have been proven to reduce the cost of inventory compared with traditional economic order quantity method under some conditions such as constant demand and production ***,the modeling of the VMI problem has never been studied under some realistic assumptions such as price dependent *** this paper,we study a VMI problem with one buyer and one supplier when demand is considered to be a function of price and price elasticity to demand,and production cost is also a function of *** proposed model is formulated and solved in a form of geometric *** optimal solution is compared with the traditional *** demonstrate the implementation of our proposed models using some numerical examples
Computational procedures for sensitivity analysis in geometric programming are developed and implemented. As a result of this research computationally feasible methods for parameterizing the objective function coeffic...
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ABSTRACT: The Generalized geometric programming and Branch and Bound technique are used to reach optimally designed water systems with their variables in integer forms. The water systems and constraints are formulated...
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ABSTRACT: Land, water, labor, and capital are optimally allocated to crops on a farm, using a procedure that also relates to irrigation frequency and level of improvement in the irrigation system. The procedure is bas...
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Small cell networks (SCN) and massive MIMO are both promising techniques for improving the network capacity. In this paper, we consider applying both concepts for indoor communications based on a radio-over-fiber (RoF...
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ISBN:
(纸本)9781467399081
Small cell networks (SCN) and massive MIMO are both promising techniques for improving the network capacity. In this paper, we consider applying both concepts for indoor communications based on a radio-over-fiber (RoF) infrastructure. We give a comparison of the achievable sum-rates using the same system configurations which include the same set of active antennas and the same power constraints. The sum-rates are further optimized based on geometric programming, under both sum power constraint (SPC) and per antenna power constraint (PAPC). The numerical results indicates that both SCN and Massive MIMO offers a high network capacity. The capacity can be significantly increased when the number of antennas is a few times larger than the simultaneously served mobile stations (STAs). Massive MIMO performs much better provided that the inter-stream interference (ISI) can be canceled by the precoding techniques such as zero-forcing (ZF). However, with maximum ratio transmission (MRT), the performance of massive MIMO is poorer than SCN.
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