Academic literature on the topic 'Inventory management model'
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Journal articles on the topic "Inventory management model"
Xabibullayev, Ibrokhim, Ruslana Zhovnovach, and Mariia Petrova. "MODEL OF ASSORTMENT OPTIMIZATION AND INVENTORY MANAGEMENT IN ENTERPRISE." Economics and Finance 9, no. 1 (2021): 31–46. http://dx.doi.org/10.51586/2311-3413.2021.9.1.31.46.
Full textBoucher, 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.
Full textPanday, Rorim, and Dovina Navanti. "Inventory Management Evaluation and Inventory Forecast Using EOQ." Syntax Literate ; Jurnal Ilmiah Indonesia 6, no. 1 (February 28, 2021): 395. http://dx.doi.org/10.36418/syntax-literate.v6i1.2286.
Full textMichalski, G. "Corporate inventory management with value maximization in view." Agricultural Economics (Zemědělská ekonomika) 54, No. 5 (June 13, 2008): 187–92. http://dx.doi.org/10.17221/251-agricecon.
Full textPrzasnyski, Zbigniew H. "Spreadsheet Simulation Model For Inventory Management." SIMULATION 63, no. 1 (July 1994): 32–43. http://dx.doi.org/10.1177/003754979406300105.
Full textMichalski, Grzegorz. "Value based management approach in inventory management." Medjunarodni problemi 61, no. 1-2 (2009): 36–47. http://dx.doi.org/10.2298/medjp0902036m.
Full textOrdoñez Castano, Andrés, Juan Pablo Orejuela Cabrera, and Juan José Bravo. "Inventory management model in a butcher shop." Revista científica Pensamiento y Gestión, no. 39 (June 1, 2015): 30–51. http://dx.doi.org/10.14482/pege.39.8441.
Full textToh, R. "Hotel room-inventory management: an overbooking model." Cornell Hotel and Restaurant Administration Quarterly 43, no. 4 (August 2002): 79–90. http://dx.doi.org/10.1016/s0010-8804(02)80044-1.
Full textAbdelaziz, Fouad Ben, and Sameh Mejri. "Decentralised bilevel model for shared inventory management." Production Planning & Control 24, no. 8-9 (March 21, 2012): 684–701. http://dx.doi.org/10.1080/09537287.2012.666857.
Full textEdirisinghe, Lalith, Zhihong Jin, and A. W. Wijeratne. "Container inventory management: introducing the 3F model." International Journal of Logistics Systems and Management 31, no. 3 (2018): 363. http://dx.doi.org/10.1504/ijlsm.2018.095825.
Full textDissertations / Theses on the topic "Inventory management model"
Chancasanampa-Mandujano, Jesenia, Karla Espinoza-Poblete, Juan Sotelo-Raffo, Jose Maria Alvarez, and Carlos Raymundo-Ibañez. "Inventory management model based on a stock control system and a kraljic matrix to reduce raw materials inventory." Association for Computing Machinery, 2019. http://hdl.handle.net/10757/656253.
Full textThis research project proposes a supply management model in a consumer goods company in Lima, Peru, to improve stock control and avoid raw materials stockouts and overstock. A Kraljic matrix was used to identify products based on their criticality considering material segmentation, warehouse capacity and times, and ABC segmentation to classify products on each quadrant of the matrix. This project also focuses on defining purchasing and supply strategies in each quadrant of the matrix. This model involves the development of three processes that are related to a new purchasing strategy: economic order quantity, lot-for-lot ordering, and just in time. This new system is based on a more accurate inventory because continuous improvement attracts employees’ attention and engages them in reducing the number of manual notifications made by operators every month. Moreover, after implementing the new procedure for recording inventories, the inventory record was 87% accurate, whereas, in the past, the inventory was not counted and was performed by employees of other areas.
Yao, Bingxin. "Model for inventory management in valve manufacturing cell at Waters Corporation." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/85541.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 120-121).
This thesis addresses the challenges of improving the on-time delivery performance of a high-volume critical part type in a high-product-mix manufacturing facility of valves. Preliminary analysis on the push-type production system of the valve manufacturing cell shows that long production lead time caused by excessive inventory queuing and accumulation as well as lack of standardized finished goods inventory management policy are the major factors that limit the on-time delivery performance. A new pull-type production system is developed with the design of a highly responsive fabrication line which enables faster material movement and an efficient inventory review framework for real-time monitoring of inventory positions. A dedicated production line with the placement of effectively controlled Work-In-Process (WIP) buffers is constructed, which is capable of reducing the production lead time by more than 80%, along with a 40% reduction in overall WIP volume. Moreover, a finished goods inventory review policy is proposed based on the (s, S) policy which significantly eliminates the possibilities of backlog and inventory explosion by the setup of both lower and upper control limits on inventory positions. The suggested policy is expected to ensure a service level of at least 95% during peak demand period, with up to 50% potential reduction in average inventory level held by the system. A Kanban system is also established to coordinate operations in the proposed pull-type production system.
by Bingxin Yao.
M. Eng. in Manufacturing
Laird, Mark. "Logistics Management: A Firm’s Efficiency Performance Model." Ohio University Honors Tutorial College / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ouhonors1338575775.
Full textJunerfält, Tobias, and Eriksson Carl Hellberg. "An Inventory Management Decision Model for Managing Misplaced Spare Parts at Mycronic." Thesis, Linköpings universitet, Industriell ekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-161468.
Full textToyasaki, Fuminori, Fichtinger Emel Arikan, Lena Silbermayr, and Sigala Ioanna Falagara. "Disaster relief inventory management: horizontal cooperation between humanitarian organizations." Wiley, 2016. http://dx.doi.org/10.1111/poms.12661.
Full textPolak, Benjamin M. (Benjamin Michael). "Multi-echelon inventory strategies for a retail replenishment business model." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/90753.
Full textThesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2014. In conjunction with the Leaders for Global Operations Program at MIT.
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Cataloged from PDF version of thesis.
Includes bibliographical references (page 69).
The mission of the Always Available retail replenishment business at NIKE is to ensure consumer-essential products are in-stock at retailers at all times. To achieve this goal, NIKE has developed a forecast-driven, make-to-stock supply chain model which allows retailers to place weekly orders to an on-hand inventory position in a distribution center. The challenge facing the business is how to design an inventory strategy that achieves a high level of service to its customers while minimizing inventory holding cost. Specifically, safety stock holding cost is targeted as it accounts for the majority of on-hand inventory and can be reduced without significantly impacting the underlying supply chain architecture. This thesis outlines the application of multi-echelon inventory optimization in a retail replenishment business model. This technique is used to determine where and how much safety stock should be staged throughout the supply chain in order to minimize safety stock holding cost for a fixed service level. Provided a static supply chain network, the ideal safety stock locations and quantities which result in minimal total safety stock holding cost is determined. For this business, the optimal solution is to stage lower-cost component materials with long supplier lead times and high commonality across multiple finished goods at the manufacturer in addition to finished goods at the distribution centers. Safety stock holding cost reduction from component staging increases significantly when the distance between manufacturers and the distribution center decreases and for those factories producing a variety of finished goods made from the same component materials due to inventory pooling. Forecast accuracy drives the quantity of safety stock in the network. The removal of low volume, highly unpredictable products from the portfolio yields significant inventory holding cost savings without a detrimental impact to revenue. By deploying the optimal safety stock staging solution and by removing unpredictable products, this analysis shows that finish goods safety stock inventory would be reduced by 35% for the modeling period (calendar year 2012) while only decreasing topline revenue by 5%.
by Benjamin M. Polak.
M.B.A.
S.M.
lyer, Nurani Vishwanathan Parameshwaran. "Optimal inventory model for managing demand-supply mismatches for perishables with stochastic supply." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122255.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 52-53).
While festivals bring a reason to cheer for everyone, businesses dealing with a spike in demand for perishables may have to live with the misery of lost sales and/or expired items. In the case of the dairy industry that deals with liquid milk, both raw material, and finished goods are perishable, which implies that merely stockpiling inventory of either item, without paying attention to potential inventory losses, cannot be an optimal strategy. In developing countries, the supplier base for perishables like milk, fruits, vegetables, flowers, etc. mostly comprise of small farmers instead of corporate/professional agencies, thus leading to supply variability. During special occasions like festivals, as individuals set aside more of the raw material for their own consumption, we encounter a reduction in supply. Around the same time, we notice a spike in customer demand, leading to a demand-supply mismatch. Companies dealing with perishables need an analytical approach to manage this.
In this thesis, we present a framework to address this problem of intermittent demand-supply mismatch using a 3-stage stochastic optimization model. We decide on the sourcing targets, the production plans based on supply realized, and finally, the dispatch plan based on orders received. As a case study, we analyze the operations and data from a private dairy company in eastern India, to understand the research problem and the applicability of the resulting model. We notice the impact of demand spikes and supply reduction in two areas: we increase supply targets in the periods preceding the demand spike; and we increase supply targets in periods when supply is expected to decrease, while demand is as usual. When there are multiple festival days within the time series, the compounding of impact depends on the sequencing of the events.
Finally, when we introduce the realistic constraint that the supply target needs to be constant throughout the time series, we see a degradation in the profitability, as we need to tradeoff between lost sales and wasted products. While the focus of this case study is the dairy industry, the conclusions from this research are broadly applicable to other industries dealing with perishables.
by Vishwanathan Parameshwaran lyer Nurani.
M. Eng. in Supply Chain Management
M.Eng.inSupplyChainManagement Massachusetts Institute of Technology, Supply Chain Management Program
Gimpl-Heersink, Lisa, Christian Rudloff, Moritz Fleischmann, and Alfred Taudes. "Integrating Pricing and Inventory Control: Is it Worth the Effort?" SpringerOpen, 2008. http://dx.doi.org/10.1007/BF03342705.
Full textNeyra, Juanirene, José Muñoz, Juan Eyzaguirre, and Carlos Raymundo. "5S hybrid management model for increasing productivity in a textile company in Lima." Springer Verlag, 2020. http://hdl.handle.net/10757/656129.
Full textIn general, lean strategies in the textile sector are applied in production to improve productivity, reduce production time, and reduce errors, among other aspects. However, there are also documented studies, which are not common in the literature that uses these strategies to improve storage operations. This study shows the implementation of the Lean 5S Hybrid tool in the warehouse of a textile company based in Lima. The objective of the implementation was to improve productivity in the warehouse, as there were high response times when searching for materials, which reduced production time, warehouse redistribution, better using available space, and being able to strategically locate main materials. The results revealed an increase in warehouse productivity 3.95 times the initial one, an Inventory Record Accuracy of 98.17%, a decrease in the requirement search time by 66.12% (from 25 to 8 min), and stock rotation of 6.22 times.
Pekari, Gregory Chivers Kurt Miles Erickson Brian G. Belcher Robert C. Kartashov Vitalii. "An analysis comparing Commander Submarine Force U.S. Pacific Fleet (CSP) current inventory management tool versus PACFLT Regional Inventory Stocking Model (PRISM) : a proposed demand-based management tool /." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Jun%5FPekari.pdf.
Full text"MBA professional report"--Cover. Joint authors: Kurt Miles Chivers, Brian G. Erickson, Robert C. Belcher, Vitalii Kartashov. Thesis advisor(s): Raymond Franck, Keebom Kang, Dan Dolk. Includes bibliographical references (p. 119-120). Also available online.
Books on the topic "Inventory management model"
Fichtinger, Johannes. The Single-Period Inventory Model with Spectral Risk Measures. Bern: Peter Lang International Academic Publishers, 2012.
Find full textArmy, United States, and Arroyo Center, eds. The readiness enhancement model: A personnel inventory projection model of the Army's reserve components. Santa Monica, CA: Rand, 1996.
Find full textMarsden, Michael A. Sensitivity of the western root disease model: Inventory of root disease. Fort Collins, CO: USDA, Forest Service, Rocky Mountain Forest and Range Experiment Station, 1992.
Find full textGraddy, Kathryn Jo. A dynamic model of price discrimination and inventory management at the Fulton fish market. Cambridge, MA: National Bureau of Economic Research, 2009.
Find full textKillen, Kenneth H. Purchasing manager's guide to model letters, memos, and forms. Englewood Cliffs, N.J: Prentice Hall, 1991.
Find full textBacon, Robert W. Random demand and multistore shopping behaviour: A cost minimising model based on a two bin inventory management system. Oxford: Oxford University, Institute of Economics and Statistics, 1998.
Find full textCevelev, Aleksandr. Material management of railway transport. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1064961.
Full textUniversity, Mzumbe, ed. Selecting inventory management and control models: A search for assumptions. [Mzumbe, Tanzania]: Mzumbe University, 2008.
Find full textSchwaneke, Robert L. Essentiality weighting models for wholesale level inventory management. Monterey, Calif: Naval Postgraduate School, 1988.
Find full textTayur, Sridhar, Ram Ganeshan, and Michael Magazine. Quantitative models for supply chain management. New York: Springer Science, 1999.
Find full textBook chapters on the topic "Inventory management model"
Muckstadt, John A., and Amar Sapra. "EOQ Model." In Principles of Inventory Management, 17–45. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-68948-7_2.
Full textMuckstadt, John A., and Amar Sapra. "A Tactical Planning Model for Managing Recoverable Items in Multi-Echelon Systems." In Principles of Inventory Management, 211–35. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-68948-7_8.
Full textMacDonnell, Michael, and Ben Clegg. "A New Inventory Model for Aircraft Spares." In Service Parts Management, 143–56. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-039-7_7.
Full textYadav, Shikha, Farah Siddiqui, and Aditi Khanna. "Sustainable Inventory Model with Carbon Emission Dependent Demand Under Different Carbon Emission Policies." In Soft Computing in Inventory Management, 163–75. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2156-7_9.
Full textAastha, Sarla Pareek, and Vinti Dhaka. "Credit Financing in a Two-Warehouse Inventory Model with Fuzzy Deterioration and Weibull Demand." In Soft Computing in Inventory Management, 83–109. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2156-7_5.
Full textYadav, Ajay Singh, Navin Ahlawat, Anupam Swami, and Mohammed Abid. "Two-Warehouse Inventory of Sugar Industry Model for Deteriorating Items with Inflation Using Differential Evolution." In Soft Computing in Inventory Management, 111–25. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2156-7_6.
Full textTalati, Isha, Poonam Mishra, and Azharuddin Shaikh. "An Analytic and Genetic Algorithm Approach to Optimize Integrated Production-Inventory Model Under Time-Varying Demand." In Soft Computing in Inventory Management, 149–62. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2156-7_8.
Full textShee, Srabani, and Tripti Chakrabarti. "Fuzzy Inventory Model for Deteriorating Items in a Supply Chain System with Time Dependent Demand Rate." In Soft Computing in Inventory Management, 69–82. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2156-7_4.
Full textMishra, Poonam, Azharuddin Shaikh, and Isha Talati. "An Application of PSO to Study Joint Policies of an Inventory Model with Demand Sensitive to Trade Credit and Selling Price While Deterioration of Item Being Controlled Using Preventive Technique." In Soft Computing in Inventory Management, 19–40. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2156-7_2.
Full textGocmen, Elifcan, Ebru Yilmaz, and Rizvan Erol. "A Mathematical Programming Model for Maritime Inventory Routing Problem." In Lecture Notes in Management and Industrial Engineering, 33–41. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-03317-0_3.
Full textConference papers on the topic "Inventory management model"
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.
Full textZhang, Peng, and Jie Xu. "Inventory Policy Decision under an Integrated Vendor-buyer Cooperative Inventory Model." In 2015 International Conference on Education, Management, Information and Medicine. Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/emim-15.2015.187.
Full textKhmelnitsky, E. "Singular Controls in an Inventory Management Model." In Modelling, Identification, and Control. Calgary,AB,Canada: ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.675-048.
Full textZheng, Yingfei, and Xianghui Men. "An Inventory Management Model in Mobile Commerce." In 2010 International Conference of Information Science and Management Engineering. IEEE, 2010. http://dx.doi.org/10.1109/isme.2010.35.
Full textZhenmin, Zhang, and Li Lin. "Perishables Inventory Management Model with Backroom Effect." In 2018 International Computers, Signals and Systems Conference (ICOMSSC). IEEE, 2018. http://dx.doi.org/10.1109/icomssc45026.2018.8941901.
Full textZhang, Jinli. "Unstable Demand Inventory Control Model Research." In 2014 International Conference of Logistics Engineering and Management. Reston, VA: American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413753.142.
Full textZhou, Xiaoye, Zuofeng Liu, and Xiuyi Xie. "Virtual Enterprise Inventory Management Model Based on UML." In 2007 International Conference on Wireless Communications, Networking and Mobile Computing. IEEE, 2007. http://dx.doi.org/10.1109/wicom.2007.1214.
Full textLi, Jizi, Peiling Guo, and Zhijun Zuo. "Inventory Control Model for Mobile Supply Chain Management." In 2008 International Conference on Embedded Software and Systems Symposia (ICESS Symposia). IEEE, 2008. http://dx.doi.org/10.1109/icess.symposia.2008.85.
Full textWang, Weipeng. "Safety inventory management — A system dynamics model." In 2012 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE, 2012. http://dx.doi.org/10.1109/cyber.2012.6320054.
Full textXue, Yiming. "A classical inventory model amendment based on management accounting." In 2013 6th International Conference on Information Management, Innovation Management and Industrial Engineering (ICIII). IEEE, 2013. http://dx.doi.org/10.1109/iciii.2013.6703522.
Full textReports on the topic "Inventory management model"
Holovan, Olha, Oleksandr Oliynyk, and Yevheniia Makazan. Optimization of Inventory Management Logistic Model of the Machine-Building Enterprises. EconWorld Workıng Papers, 2007. http://dx.doi.org/10.22440/econworld.wp.2017.001.
Full textGraddy, Kathryn, and George Hall. A Dynamic Model of Price Discrimination and Inventory Management at the Fulton Fish Market. Cambridge, MA: National Bureau of Economic Research, May 2009. http://dx.doi.org/10.3386/w15019.
Full textJain, Theresa B., Mike A. Battaglia, Han-Sup Han, Russell T. Graham, Christopher R. Keyes, Jeremy S. Fried, and Jonathan E. Sandquist. A comprehensive guide to fuel management practices for dry mixed conifer forests in the northwestern United States: Inventory and model-based economic analysis of mechanical fuel treatments. Ft. Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2014. http://dx.doi.org/10.2737/rmrs-rn-64.
Full textBonthron, Leslie, Corey Beck, Alana Lund, Farida Mahmud, Xin Zhang, Rebeca Orellana Montano, Shirley J. Dyke, Julio Ramirez, Yenan Cao, and George Mavroeidis. Empowering the Indiana Bridge Inventory Database Toward Rapid Seismic Vulnerability Assessment. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317282.
Full textSandford, Robert, Vladimir Smakhtin, Colin Mayfield, Hamid Mehmood, John Pomeroy, Chris Debeer, Phani Adapa, et al. Canada in the Global Water World: Analysis of Capabilities. United Nations University Institute for Water, Environment and Health, November 2018. http://dx.doi.org/10.53328/vsgg2030.
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