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Relevant bibliographies by topics / Inventory

Academic literature on the topic 'Inventory'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 May 2024

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Journal articles on the topic "Inventory"

1

Kim, Gil-Whan. "Evaluating Inventory Management Performance as Measured by Inventory Management Efficiency." International Academy of Global Business and Trade 19, no. 3 (June 30, 2023): 25–43. http://dx.doi.org/10.20294/jgbt.2023.19.3.25.

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Purpose - To measure inventory management performance, we aim to develop a new indicator from which the random variation factor is eliminated. To this end, we propose inventory management efficiency (IME) as a novel metric to which technical efficiency is applied. Design/Methodology/Approach - To properly define IME,we established an inventory turnover function for which the multiplicative model represents the relationship between inventory turnover and its determinants, such as gross margin, capital intensity, and sales surprise, as suggested by Gaur et al. (2005). In addition, based on empirical results and the form of the inventory turnover function, we examine in detail whether the inventory turnover function is well- defined. We then examined the validity of the research model with the inefficiency term, which is a one-sided error, and investigated whether the inventory management inefficiency term exists statistically. Findings - The inventory turnover function suggested in this study is a well-defined function, and IME is an appropriately defined indicator for measuring inventory management performance. Moreover, the actual inventory turnover is determined on average at a level that is less than the maximum inventory turnover expected from the determinants of inventory turnover. Research Implications - IME can be utilized as a newly applicable indicator for evaluating inventory management.

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Arianto, Rizal, Abdul Kholiq Al Anam, Berliana Devi, and Andy Rachman. "PENGEMBANGAN APLIKASI SISTEM INFORMASI INVENTORY PADA CV WIJAYA LAS KEDIRI MENGGUNAKAN MODEL WATERFALL." Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) 20, no. 2 (September 15, 2021): 73. http://dx.doi.org/10.53513/jis.v20i2.3749.

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Sistem inventory merupakan sistem persediaan barang yang menjadi aspek penting bagi perusahaan dalam perusahaan barang-barang tersebut disimpan untuk memenuhi kebutuhan perusahaan Inventori merupakan barang yang disimpan atau digunakan untuk dijual kembali, yang dapat berbentuk bahan baku yang disimpan dan dijual.Dari hasil penelitian yang dilakukan rizal arianto pada CV Wijaya Las Kediri pengecekan persediaan material barang bersifat manual dari masalah tersebut maka dibutuhkan sistem informasi inventor. Untuk Mengembangkan Sistem Informasi Inventori kami menggunakan metode Waterfall. Hasil pengujian didapatkan bahwa metode Waterfall dapat digunakan untuk membuat Sistem Informasi Inventori sehingga membantu pemilik maupun staff . Pada penelitian ini kami melakukan uji kelayakan aplikasi dengan melakukan uji pada staff perusahaan CV Wijaya Las Untuk mengetahui layak atau tidaknya kami menggunakan ISO 9126-3 dan hasil dari penilaian diperoleh kemudahan dipahami sebesar 83%, Kemudahan dipelajari sebesar 80% Responsif pada program sebesar 75% Kemudahan akses pada program sebesar 80% dan kesesuaian tujuan sebesar 86%

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Evans, Suzannah V. "Inventory." English: Journal of the English Association 69, no. 266 (June 1, 2020): 245. http://dx.doi.org/10.1093/english/efab003.

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Lababidi, Yahia. "Inventory." World Literature Today 84, no. 2 (2010): 35. http://dx.doi.org/10.1353/wlt.2010.0289.

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SoRelle, Ruth. "Inventory." Emergency Medicine News 29, no. 1 (January 2007): 1. http://dx.doi.org/10.1097/01.eem.0000264626.00650.59.

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Wall, Carol. "Inventory." Library & Archival Security 7, no. 2 (February 4, 1986): 27–31. http://dx.doi.org/10.1300/j114v07n02_05.

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Varcoe, Rae. "Inventory." Annals of Internal Medicine 135, no. 11 (December 4, 2001): 953. http://dx.doi.org/10.7326/0003-4819-135-11-200112040-00006.

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Kao, Karen. "Inventory." Pleiades: Literature in Context 42, no. 2-1 (September 2022): 225–30. http://dx.doi.org/10.1353/plc.2022.0145.

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Alshami, Abdullah Mohammed, and Aniket Muley. "Economic Ordering Policy for VAR Deterioration Model with Non-stationary Two-warehouse Inventory and Demand." InPrime: Indonesian Journal of Pure and Applied Mathematics 2, no. 2 (June 7, 2020): 79–86. http://dx.doi.org/10.15408/inprime.v2i2.15390.

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AbstractThis paper adopts the two-warehouse inventory, determination on the first run-time and VAR (Vector Auto Regression) deterioration model. The optimal EOQ in the interval of the finite horizon is determined under critical considerations. The non-stationary two-warehouse inventory, i.e. the inventory and initial inventory are non-stationary at level, but stationary after lag difference similar to demand (demand and initial demand). The output of the proposed model represented the optimal order quantity and optimal first run-time, the optimal total cost as integration of first order with the significant trend and intercept. The optimal demand is decreased during more risk as a deterioration variable to reduce the quantity in the stock. The initial demand is stationary after a first lag and the demand is stationary.Keywords: initial inventory; optimal of first run-time; EOQ (Economic Ordering Quantity); total cost function (TC). AbstrakPenelitian ini mengadopsi inventori dengan dua gudang penyimpanan, penentuan pada waktu run (run-time) awal, dan model deteriorating VAR (Vector Auto Regression). Nilai optimal EOQ dalam interval horizon berhingga ditentukan dengan pertimbangan kritis. Inventori dengan dua gedung yang tidak stasioner, yaitu inventori dan inventori awal tidak stasioner pada level, tetapi stasioner setelah perbedaan lag seperti halnya pada permintaan (permintaan dan permintaan awal). Hasil dari model yang diajukan menunjukkan nilai orde yang optimal dan waktu run awal yang optimal, total biaya optimal sebagai integrasi dari orde pertama dengan tren dan intercept yang signifikan. Permintaan optimal mengalami penurunan ketika lebih banyak risiko sebagai variabel deteroriating untuk mengurangi jumlah dalam stok. Permintaan awal menunjukkan stasioner setelah perbedaan lag pertama dan permintaan juga stasioner.Kata kunci: inventori awal; optimal run-time awal; EOQ (Economic Ordering Quantity); fungsi biaya total.

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Boucher, Thomas O., William E. Stuckey, and Layek Abdel-Malek. "An Inventory Model for International Inventory Management." Engineering Economist 30, no. 3 (January 1985): 245–68. http://dx.doi.org/10.1080/00137918508902910.

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Dissertations / Theses on the topic "Inventory"

1

Campbell, Ann Melissa. "Inventory routing." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/25530.

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Sakhaii, Mandana. "Inventory Policy for a Hospital Supply Chain with Perishable Inventory." Ohio University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1480597038799773.

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Song, Jin-Hwa. "Inventory Routing Investigations." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/5028.

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The elimination of distribution inefficiencies, occurring due to the timing of customers' orders is an important reason for companies to introduce vendor managed inventory programs. By managing their customers' inventories, suppliers may be able to reduce demand variability and therefore distribution costs. We develop technology to measure the effectiveness of distribution strategies. We develop a methodology that allows the computation of tight lower bounds on the total mileage required to satisfy customer demand over a period of time. As a result, companies will be able to gain insight into the effectiveness of their distribution strategy. This technology can also be used to suggest desirable delivery patterns and to analyze tactical and strategic decisions. Secondly, we study the inventory routing problem with continuous moves (IRP-CM). The typical inventory routing problem deals with the repeated distribution of a single product, from a single facility, with an unlimited supply, to a set of customers that can all be reached with out-and-back trips. Unfortunately, this is not always the reality. We introduce the IRP-CM to study two important real-life complexities: limited product availabilities at facilities and customers that cannot be served using out-and-back tours. We need to design delivery tours spanning several days, covering huge geographic areas, and involving product pickups at different facilities. We develop a heuristic and an optimization algorithm to construct distribution plans. The heuristic is an innovative randomized greedy algorithm, which includes linear programming based postprocessing technology. To solve the IRP-CM to optimality, we give a time-discretized integer programming model and develop a branch-and-cut algorithm. As instances of time-discretized models tend to be large we discuss several possibilities for reducing the problem size. We introduce a set of valid inequalities, called delivery cover inequalities, in order to tighten the bounds given by the LP relaxation of the time-discretized model. We also introduce branching schemes exploiting the underlying structure of the IRP-CM. An extensive computational study demonstrates the effectiveness of the optimization algorithm. Finally, we present an integrated approach using heuristics and optimization algorithms providing effective and efficient technology for solving inventory problems with continuous moves.

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Ozkan, Erhun. "Stochastic Inventory Modelling." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/3/12612097/index.pdf.

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In this master thesis study, new inventory control mechanisms are developed for the repairables in Nedtrain. There is a multi-item, multi echelon system with a continuous review and one for one replenishment policy and there are different demand supply options in each control mechanism. There is an aggregate mean waiting time constraint in each local warehouse and the objective is to minimize the total system cost. The base stock levels in each warehouse are determined with an approximation method. Then different demand supply options are compared with each other.

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Adelman, Daniel. "Remnant inventory systems." Diss., Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/25620.

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Mehmeti, Ardit. "Stochastic Inventory Management." Thesis, Linnéuniversitetet, Institutionen för matematik (MA), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-101526.

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This bachelor thesis is about a stochastic inventory theory and how changes in different parameters affect the cost system. The inventory is based on a stochastic version of an economic quantity order (EOQ) model with planned shortages. For the deterministic EOQ-model with planned shortages there is a convenient formula for optimal order quantity $Q$ minimizing the cost per time unit. For the stochastic version an ($R$,$Q$)-policy is applied where $R$ is a reorder point such that if the inventory level is below $R$ and order is sent and the ordered products arrive after a lead time $L$. Since a formula for the stochastic inventory is not known, optimal choice of $Q$ is numerically obtained by simulations and compared with the optimal $Q$ for the deterministic EOQ with planned shortages. The demand is for simplicity described by a Poisson process. Since having a stochastic inventory model the basic mathematical EOQ formula is inadequate and is replaced with an approximate EOQ formula with planned shortages. By the simulations the accuracy of the EOQ model with planned shortages approximation is investigated and optimal values for some of the parameters are obtained.

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Rabon, Jessica Kelliher, and Jameson K. Hirsch. "Beck Hopelessness Inventory." Digital Commons @ East Tennessee State University, 2017. https://dc.etsu.edu/etsu-works/5491.

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Ozlem, Pinar. "The Inventory Routing Problem With Deterministic Order-up-to Level Inventory Policies." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606444/index.pdf.

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This study is concerned with the inventory routing problem with deterministic, dynamic demand and order-up-to level inventory policy. The problem mainly arises in the supply chain management context. It incorporates simultaneous decision making on inventory management and vehicle routing with the purpose of gaining advantage from coordinated decisions. An integrated mathematical model that represents the features of the problem is presented. Due to the magnitude of the model, lagrangean relaxation solution procedures that identify upper bounds and lower bounds for the problem are developed. Satisfactory computational results are obtained with the solution procedures suggested on the test instances taken from the literature.

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Park, Byeoung Gone. "Developing an inventory model for the Korean Air Force repairable item inventory." Thesis, Monterey, California. Naval Postgraduate School, 1988. http://hdl.handle.net/10945/23170.

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Hill, Roger M. "Lost sales inventory models." Thesis, University of Exeter, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.302560.

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Books on the topic "Inventory"

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Jerath, N. Inventory of inventors: Punjab & Chandigarh. Chandigarh: Patent Information Centre, Punjab State Council for Science & Technology, 2014.

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Brand, Dionne. Inventory. Toronto: McClelland & Stewart, 2006.

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Museo nazionale delle arti del XXI secolo (Italy) and Philadelphia Museum of Art, eds. Inventory. Roma: MAXXI, 2013.

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Inventory. Vancouver, B.C: Anvil Press, 2009.

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Pigeon, Marguerite. Inventory. Vancouver, B.C: Anvil Press, 2009.

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Inventory. Exeter, U.K: Shearsman Books, 2008.

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Inventory Log: -Inventory List -Inventori List Business -120 Pages -6x9. Independently Published, 2020.

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Systems, Apika. Microsoft Dynamics Ax Inventory Optimization Manual: Using InventOps Inventory Optimizer. Independently Published, 2018.

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Inventory Log Book: Inventory Record, Inventory Organiser, Simple Inventory Tracker. Independently Published, 2019.

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Inventory Log Book: Inventory Record, Inventory Organiser, Simple Inventory Tracker. Independently Published, 2019.

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Book chapters on the topic "Inventory"

1

Wenzel, Henrik, Michael Hauschild, and Leo Alting. "Inventory." In Environmental Assessment of Products, 76–95. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6367-9_9.

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Nahler, Gerhard. "inventory." In Dictionary of Pharmaceutical Medicine, 97. Vienna: Springer Vienna, 2009. http://dx.doi.org/10.1007/978-3-211-89836-9_731.

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Tyers, Ben. "Inventory." In Learn RPGs in GameMaker: Studio, 145–51. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2946-0_15.

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Weik, Martin H. "inventory." In Computer Science and Communications Dictionary, 834. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_9563.

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Gooch, Jan W. "Inventory." In Encyclopedic Dictionary of Polymers, 395. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_6434.

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Kangas, Annika, Jeffrey H. Gove, and Charles T. Scott. "Introduction." In Forest Inventory, 3–11. Dordrecht: Springer Netherlands, 2006. http://dx.doi.org/10.1007/1-4020-4381-3_1.

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Axsäter, Sven. "Introduction." In Inventory Control, 1–4. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4757-5606-7_1.

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Axsäter, Sven. "Forecasting." In Inventory Control, 5–23. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4757-5606-7_2.

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Axsäter, Sven. "Single-Echelon Systems with Independent Items." In Inventory Control, 25–90. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4757-5606-7_3.

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Axsäter, Sven. "Coordinated Replenishments." In Inventory Control, 91–113. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4757-5606-7_4.

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Conference papers on the topic "Inventory"

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Ran, Junmu, Wenxue Ran, and Tianwen Song. "Inventory sharing based on supplier-led inventory transshipment." In 2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI). IEEE, 2021. http://dx.doi.org/10.1109/icceai52939.2021.00025.

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Ran, Junmu, Wenxue Ran, and Tianwen Song. "Inventory sharing based on supplier-led inventory transshipment." In 2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI). IEEE, 2021. http://dx.doi.org/10.1109/icceai52939.2021.00025.

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Shitian Du. "Inventory policy of N-period stochastic inventory model." In 2011 2nd IEEE International Conference on Emergency Management and Management Sciences (ICEMMS). IEEE, 2011. http://dx.doi.org/10.1109/icemms.2011.6015691.

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Tao, Feng, Kin Keung Lai, and Tijun Fan. "Inventory and Routing Policies in Vendor Managed Inventory System." In 2012 Fifth International Joint Conference on Computational Sciences and Optimization (CSO). IEEE, 2012. http://dx.doi.org/10.1109/cso.2012.68.

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Jiang, Weifan. "Constant Demand of Inventory Control Based on Inventory Loans." In Fourth International Conference on Transportation Engineering. Reston, VA: American Society of Civil Engineers, 2013. http://dx.doi.org/10.1061/9780784413159.281.

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Li, Niannian. "Inventory Control of Sharing Products Based on Inventory Transshipment." In Proceedings of the 2019 International Conference on Advanced Education, Management and Humanities (AEMH 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/aemh-19.2019.51.

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Zhang, Ting, George Q. Huang, Yuan Shi, and Shulin Lan. "Inventory hedging and coordination under inventory-level-dependent demand." In 2014 IEEE International Conference on Automation Science and Engineering (CASE). IEEE, 2014. http://dx.doi.org/10.1109/coase.2014.6899398.

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No̸rstebo̸, Vibeke Stærkebye, Lars Erik Bakken, and Hans Jo̸rgen Dahl. "Optimum Pipeline Inventory." In 2006 International Pipeline Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/ipc2006-10285.

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The gas transport system on the Norwegian continental shelf (NCS) consists of more than 6 600 km of pipelines and is the largest offshore gas transport system in the world. In 2004, dry gas exports from the NCS totalled 77.7 billion scm. The network is operated at very high pipeline pressure, up to 210 bar, and there are few booster stations along the way. Combined with the low ambient temperature, the high pressure provides the opportunity to store much gas in these long pipelines. A major challenge is to operate the pipelines at optimum inventory. This implies a delicate balance between high pressure and appurtenant high compressor energy consumption and environmental emissions versus lower pressure and the risk of loss in gas sales. A minimum quantity of gas is required in a pipeline for the initial pressurization of the system. The quantity is defined with an assumed pressure for each pipeline, and is known as linefill. Linepack is a quantity of gas in excess of linefill, which is necessary in order to make deliveries as requested and to provide operating tolerances, not least to cope with shutdowns upstream of the pipelines. A high linepack means higher pressure into the pipeline, but it also provides high flexibility and safety. In order to find the optimum inventory level, i.e. the total amount of gas in the pipeline, simulation in a pipeline simulation software and statistical analysis are used. For a given pipeline, the minimum inventory curve as a function of the steady state flow in the pipeline is found by the means of simulation. Historical flow rate values from the past two years are analyzed, and expected changes in the flow into and out of the pipeline are found by means of statistical analysis. On this basis, a recommended inventory curve is found for both the original and the increased capacity in the pipeline. The scope of the work is to increase energy efficiency and reduce environmental emissions by developing a recommended inventory level as a function of the flow in the pipeline. This paper reports on the analysis of one of the pipelines on the NCS. It describes the method used to analyze the flow/inventory level in the pipeline and the resulting recommended inventory curve. Furthermore the paper reports on experience from operation of the pipeline after implementation of the recommended curve.

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Мванса, Топива Грейс, and Оксана Константиновна Коробкова. "CURRENT INVENTORY ISSUES." In Научные исследования в современном мире. Теория и практика: сборник статей XXIV всероссийской (национальной) научной конференции (Санкт-Петербург, Январь 2024). Crossref, 2024. http://dx.doi.org/10.37539/240117.2024.64.95.003.

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В научной статье рассмотрены особенности применения Федерального стандарта бухгалтерского учёта 28/2022 «Инвентаризация». Представлен анализ нововведений ФСБУ 28/2022 при проведении инвентаризации, алгоритм проведения и отражения результатов в бухгалтерском учёте. The scientific article discusses the features of the application of the Federal Accounting Standard 28/2022 «Inventory». The analysis of the innovations of FSB 28/2022 during the inventory, the algorithm for conducting and reflecting the results in accounting is presented.

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Yuan, X. M., Z. L. Tan, and A. S. Bhullar. "Optimal inventory policies for remanufacturing inventory systems with multiple returns." In 2014 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2014. http://dx.doi.org/10.1109/ieem.2014.7058865.

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Reports on the topic "Inventory"

1

West, Kenneth. Inventory Models. Cambridge, MA: National Bureau of Economic Research, September 1993. http://dx.doi.org/10.3386/t0143.

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C. Leigh. Inventory Abstraction. Office of Scientific and Technical Information (OSTI), November 2000. http://dx.doi.org/10.2172/837101.

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G. Ragan. INVENTORY ABSTRACTION. Office of Scientific and Technical Information (OSTI), December 2001. http://dx.doi.org/10.2172/861077.

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Cao, H. Henry, Richard Lyons, and Martin D. D. Evans. Inventory Information. Cambridge, MA: National Bureau of Economic Research, August 2003. http://dx.doi.org/10.3386/w9893.

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Kerr, G., and K. Eckerman. Source inventory limits. Office of Scientific and Technical Information (OSTI), March 1990. http://dx.doi.org/10.2172/7052209.

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Tillman, Russell K. DRP Product Inventory. Fort Belvoir, VA: Defense Technical Information Center, January 1991. http://dx.doi.org/10.21236/ada268742.

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Lewis, L. A., and R. S. Taylor. Explosive inventory program. Office of Scientific and Technical Information (OSTI), September 1990. http://dx.doi.org/10.2172/6540341.

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Waterman, Bradley, Dan Yaley, Matthew O'Brien, Kyle Wiegert, Joseph R. Vanstrom, and Jacek A. Koziel. Inventory Control Project. Ames: Iowa State University, Digital Repository, April 2017. http://dx.doi.org/10.31274/tsm416-180814-18.

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Atencio, B. P. Inventory of miscellaneous streams. Office of Scientific and Technical Information (OSTI), September 1996. http://dx.doi.org/10.2172/329775.

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Janssen, J. Health protection well inventory. Office of Scientific and Technical Information (OSTI), March 1989. http://dx.doi.org/10.2172/397167.

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