A Probabilistic (Q, s) Inventory Model with Permitted Credit Period

Sarma, K.V.S.; Sudhakar, Boinapalli

doi:10.1007/bf03398526

Cited by 3 publications

(3 citation statements)

References 4 publications

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“…For example, Ref. [1] specifically quotes l i ∼ µm at liquid helium temperature (T ∼ 4 K), which translates into l i ∼ 10 − 400Å for T = 100 − 20 K since l i ∼ T −2 in graphene due to the dominant electron-electron interaction 21 . The actual values of l i may even be smaller because of disorder effects and electron-phonon interactions.…”

Section: Appendix Bmentioning

confidence: 99%

Disorder by order in graphene

Sarma

Hwang

2012

Phys. Rev. B

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We predict the existence of an intriguing "disorder by order" phenomenon in graphene transport where higher quality (and thus more ordered) samples, while having higher mobility at high carrier density, will manifest more strongly insulating (and thus effectively more disordered) behavior as the carrier density is lowered compared with lower quality samples (with higher disorder) which exhibit an approximate resistivity saturation phenomenon at low carrier density near the Dirac point. This predicted behavior simulating a metal-insulator transition, which we believe to have recently been observed in an experiment at Manchester University [L. A. Ponomarenko et al., Nat. Phys. 7, 958 (2011)], arises from the suppression of Coulomb disorder induced inhomogeneous puddles near the charge neutrality point in high quality graphene samples.Comment: 9 pages, 4 figure

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Section: Appendix Bmentioning

confidence: 99%

Disorder by order in graphene

Sarma

Hwang

2012

Phys. Rev. B

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“…The two-warehouse inventory model was first introduced by Hartley (1976) with the assumption that the holding cost in RW is greater than that in OW. Sarma (1983) proposed the inventory model with two-level storage and optimum release rule. Goswami et al (1992) proposed an economic quantity model with two warehouses under time-varying linearly increasing demand.…”

Section: Introductionmentioning

confidence: 99%

A Two-Warehouse Inventory Model With Rework Process and Time-Varying Demand

Nurhasril

Supadi

Omar

2023

MJS

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A two-warehouse inventory model with deteriorating items and rework process with time varying demand rate is presented. The Last-In-First-Out (LIFO) and First-In-First-Out (FIFO) policies are considered with the assumption that the holding cost is higher in the rented warehouse (RW) compared to the owned warehouse (OW). The aim of the proposed model is to determine the optimum values of time in a production cycle that will minimise the total relevant cost, TRC*. We have utilised Microsoft Excel Solver as a solution tool, in which the generalised reduced gradient (GRG Nonlinear) method has been chosen as the solving method. The result is further verified using the built-in function in the Mathematica software. We observed that given same changes are made to the parameters in both the LIFO and FIFO systems, a lower total relevant cost, TRC* is obtained in the LIFO system. This shall mean that the LIFO system is less expensive than the FIFO system, provided that the holding cost in RW is higher than the holding cost in OW. The flow of inventory in the LIFO system suggests that items stored last in the owned warehouse will be dispatched first. This is an important factor for manufacturers in ensuring that items are distributed at optimal freshness.

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“…In addition, a great deal of research efforts has been devoted to inventory models of deteriorating items in two warehousing area. (Sarma, 1983) developed a two-warehouse model for deteriorating items with the infinite replenishment rate and shortages. (Pakkala & Achary, 1992) further considered the two-warehouse model for deteriorating items with finite replenishment rate and shortages.…”

Section: Introductionmentioning

confidence: 99%

Ordering Policy in a Two-Warehouse Environment for Deteriorating Items with Shortages under Inflationary Conditions

Jaggi

Khanna

Pareek

et al. 2013

International Journal of Strategic Decision Sciences

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In this paper, the two-warehouse inventory problem is considered for deteriorating items with constant demand rate and shortages under inflationary conditions. In today’s unstable global economy, the effects of inflation and time value of money cannot be ignored; as it increases the cost of goods. To safeguard from the rising prices, during the inflation regime, the organization prefers to keep a higher inventory, thereby increasing the aggregate demand. This additional inventory needs additional storage space that is facilitated by a rented warehouse. Further ahead, in the real business world, to retain the freshness of the commodity, most of the organizations adopt the first-in-first-out (FIFO) dispatching policy. FIFO policy yields fresh and good conditioned stock thereby resulting in customer satisfaction, especially when items are deteriorating in nature. However, the two warehousing systems usually assume that the holding cost of items is more in RW than the OW due to modern preserving techniques. Therefore, to reduce the inventory costs, it is economical to consume the goods of RW at the earliest. This approach is termed as Last-In-First-Out (LIFO) approach. The objective of the present research is to develop a two warehouse inventory model with FIFO and LIFO dispatching policies under inflationary conditions. Further, comparison between FIFO and LIFO policies has been exhibited with the help of a numerical example. Sensitivity analysis has also been performed to study the impact of various parameters on the optimal solution.

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A Probabilistic (Q, s) Inventory Model with Permitted Credit Period

Cited by 3 publications

References 4 publications

Disorder by order in graphene

Disorder by order in graphene

A Two-Warehouse Inventory Model With Rework Process and Time-Varying Demand

Ordering Policy in a Two-Warehouse Environment for Deteriorating Items with Shortages under Inflationary Conditions

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