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Relevant bibliographies by topics / Inventory carrying costs

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Journal articles

Academic literature on the topic 'Inventory carrying costs'

Author: Grafiati

Published: 8 September 2021

Last updated: 10 February 2022

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Journal articles on the topic "Inventory carrying costs"

1

Gaither, Norman, Donald R. Fraser, and William G. Mister. "Accounting for Inventory Carrying Costs." Journal of Cost Analysis 5, no. 1 (1987): 1–6. http://dx.doi.org/10.1080/08823871.1987.10462359.

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2

Bondy, Harry. "Inventory carrying costs in government." Canadian Public Administration/Administration publique du Canada 34, no. 3 (1991): 527–30. http://dx.doi.org/10.1111/j.1754-7121.1991.tb01481.x.

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3

Gurtu, Amulya. "Optimization of Inventory Holding Cost Due to Price, Weight, and Volume of Items." Journal of Risk and Financial Management 14, no. 2 (2021): 65. http://dx.doi.org/10.3390/jrfm14020065.

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The inventory carrying cost has been assumed uniform for all products in an organization or a warehouse. This assumption is not valid for a diversified range of items in an organization or warehouse. This paper tested this hypothesis of variations in inventory holding costs in a warehouse in two industries based on the physical nature and the price of products. It is found that organizations with a wide variety of products need to calculate the inventory holding cost for each item (SKU) rather than using an average percentage cost of inventory. Inventory holding costs of items in two different

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4

Pope, Jennifer A., and James A. Pope. "Plant supply logistics: balancing delivery and stockout costs." Journal of Transportation Management 17, no. 1 (2006): 52–60. http://dx.doi.org/10.22237/jotm/1143849900.

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A manufacturer leases rail cars to transport raw material from the supplier to the factory. The manufacturer must balance the costs of leasing rail cars versus stockouts (leading to plant closings) and inventory carrying costs. Using a model of circular queues and a simulation, the cost implications of leasing different numbers of rail cars are analyzed. It is concluded that stockout costs exceed the cost of excess inventory and capacity in the logistics system.

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5

FAROOQUIE, PARVEEN, and M. NASIR KHAN. "RETURNING TO ROOTS FOR REDUCING INVENTORY COSTS IN SMEs: A CASE OF INDIAN LOCK INDUSTRY." Journal of Enterprising Culture 18, no. 03 (2010): 315–30. http://dx.doi.org/10.1142/s0218495810000562.

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Achieving uninterrupted production, increasing profitability and productivity, protection against stock-outs, and improving customer service levels have been the major benefits of holding inventory. Maintaining inventory levels beyond a certain limit is, however, an undesirable phenomenon. While practitioners and researchers are aiming at minimum possible cost of inventory, many small business owners in India still fail to appreciate fully the true costs of carrying inventory. In this context the present study examines a case of the lock manufacturing industry in the Aligarh district of the st

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6

NACHIAPPAN, SP, N. JAWAHAR, S. CALWIN PARTHIBARAJ, and B. BRUCELEE. "PERFORMANCE ANALYSIS OF FORECAST DRIVEN VENDOR MANAGED INVENTORY SYSTEM." Journal of Advanced Manufacturing Systems 04, no. 02 (2005): 209–26. http://dx.doi.org/10.1142/s0219686705000618.

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Vendor Managed Inventory (VMI) is a centralized link between suppliers and customers that enables faster, less complex transactions without creating individual lines of communication for every business relationship. The current scenario necessitates the effective integration of forecasting with VMI to maintain its efficient inventory level with less safety stock. Concerning the above, this paper proposes a Forecast Driven Vendor Managed Inventory Model (FDVMI) in which a suitable forecasting model, which has minimum error and which satisfies Tracking Signal, is selected to predict the demand.

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7

Federgruen, Awi, and Min Wang. "A CONTINUOUS REVIEW MODEL WITH GENERAL SHELF AGE AND DELAY-DEPENDENT INVENTORY COSTS." Probability in the Engineering and Informational Sciences 29, no. 4 (2015): 507–25. http://dx.doi.org/10.1017/s0269964815000169.

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We analyze a continuous review inventory model with the marginal carrying cost of a unit of inventory given by an increasing function of its shelf age and the marginal delay cost of a backlogged demand unit by an increasing function of its delay duration. We show that, under a minor restriction, an (r, q)-policy is optimal when the demand process is a renewal process, and a state dependent (r, q)-policy is optimal when the demand is a Markov-modulated renewal process. We also derive various monotonicity properties for the optimal policy parameters r* and r* + q*.

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8

Mojaveri, Hamidreza Salmani, and Vahid Moghimi. "Determination of Economic Order Quantity in a fuzzy EOQ Model using of GMIR Deffuzification." Indonesian Journal of Science and Technology 2, no. 1 (2017): 76. http://dx.doi.org/10.17509/ijost.v2i1.5990.

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Inappropriate inventory control policies and its incorrect implementation can cause improper operation and uncompetitive advantage of organization logistic operation in the market. Therefore, analysis inventory control policies are important to be understood, including carrying cost, ordering cost, warehouse renting cost, and buying cost. In this research, Economic Order Quantity (EOQ) problem in fuzzy condition is reviewed in two different situations. The first model concerned to costs (carrying cost, ordering cost, warehouse renting cost and buying cost), which is considered as triangular fu

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9

Hipkin, I. B. "A situational approach to the application of the inventory control theory to maintenance spares control." South African Journal of Business Management 22, no. 4 (1991): 101–6. http://dx.doi.org/10.4102/sajbm.v22i4.907.

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The management of maintenance spares has frequently been treated as part of the management of the total inventory in production-oriented organizations. In this article it is suggested that maintenance spares should be grouped into four categories: non-stock, usage stock, project stock and insurance stock. Rather than using a common inventory control approach to all spares, different techniques should be applied to each category. Developments in reliability-centred maintenance will result in less reliance on forecasting maintenance spares requirements, thereby permitting a higher service level

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10

Mitchell, Michael D., and Walter E. Beyeler. "Studying the Relationship between System-Level and Component-Level Resilience." Journal of Complex Systems 2015 (January 8, 2015): 1–9. http://dx.doi.org/10.1155/2015/875265.

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The capacity to maintain stability in a system relies on the components which make up the system. This study explores the relationship between component-level resilience and system-level resilience with the aim of identifying policies which foster system-level resilience in situations where existing incentives might undermine it. We use an abstract model of interacting specialized resource users and producers which can be parameterized to represent specific real systems. We want to understand how features, such as stockpiles, influence system versus component resilience. Systems are subject to

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