Relevant bibliographies by topics / And inventory management

Academic literature on the topic 'And inventory management'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "And inventory management"

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Levin, Roger. "Inventory management." Journal of the American Dental Association 135, no. 6 (June 2004): 786–87. http://dx.doi.org/10.14219/jada.archive.2004.0278.

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Sánchez-Lozano, Gloria, and Esther Chávez-Miranda. "“Tratamiento de capacity management e inventory management en manuales de revenue management”." International Journal of World of Tourism 2, no. 4 (2015): 9–16. http://dx.doi.org/10.12795/ijwt.2015.i04.02.

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Van Belle, D. "INVENTORY MANAGEMENT©." Acta Horticulturae, no. 1085 (June 2015): 333–34. http://dx.doi.org/10.17660/actahortic.2015.1085.61.

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Adedugba, Adebayo Tolulope, Olaleke O. Ogunnaike, Kingsley A. Adeyemo, Busola E. Kehinde, and Gbenga Oke. "Inventory Management Sustainability." International Journal of System Dynamics Applications 11, no. 1 (January 1, 2022): 1–14. http://dx.doi.org/10.4018/ijsda.302630.

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Inventory optimality is an option of energy utilization proportionality that can lessen carbon emanations and maximize profitability. This study proposes an inventory management model in which the stock volume is optimally decided to diminish energy per resource utilized in-other to reduce carbon emanations. This will likewise help in concluding renewal volume optimally. Consequently, the study utilized economic order quantity (EOQ) to decide inventory volumes in-other to decrease carbon emanations so as to augment profits of the inventory chain. Partial least square(PLS) was additionally utilized to examine the extent of inventory management frameworks on environmental sustainability. The study, therefore, shows its oddity and pertinency by utilizing economic order quantity(EOQ) and partial least square(PLS) to examine and optimize inventory respectively, as it gives a perspective of decreasing carbon emanations during inventory procedures.
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Agrahari, Amit, and Saket Jhunjhunwala. "Inventory Management Process." Journal of Cases on Information Technology 14, no. 1 (January 2012): 1–14. http://dx.doi.org/10.4018/jcit.2012010101.

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This case captures inventory management process in an Indian convenience store. Unlike retail stores in developed countries, Indian convenience stores are a special format of organized retailing, where retailers open multiple smaller stores in a town instead of one big centralised store. An excellent inventory management process is the key to make such stores perform well. This case describes inventory management problems faced by an Indian convenience store chain and asks students to propose solutions to these problems. This case illustrates how processes realities and their IT solutions differ in an emerging economy. Using inventory management process as an example, this teaching case can introduce students to the process and technological realities in an Indian context and differences between India and the West.
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Brinkman, Peter, Christine Seipel, and Alison Juers. "Prosthetic inventory management." Australian Health Review 24, no. 1 (2001): 120. http://dx.doi.org/10.1071/ah010120.

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An improved approach to inventory management in the Operating Theatre has been initiated at Princess AlexandraHospital. A Clinical Resource Co-ordinator (CRC) position was created to provide access to expertise in purchasingand materials management at the clinical level. A review of existing inventory management practices conducted bythe CRC revealed reporting inadequacies, lack of product specialisation and inadequate control over pricing, stocklevels and product usage. Through liaison with key stakeholders, a competitive tendering process was introduced whichresulted in a standing offer arrangement being installed for three specialty orthopaedic areas. Outcomes of thisarrangement are discussed. The importance of raising the area of prosthetic inventory management for debate in theAustralian literature is also highlighted.
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Butch, Suzanne H. "Blood Inventory Management." Laboratory Medicine 16, no. 1 (January 1, 1985): 17–20. http://dx.doi.org/10.1093/labmed/16.1.17.

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Chapman, J. F., C. Hyam, and R. Hick. "Blood inventory management." Vox Sanguinis 87, s2 (July 2004): 143–45. http://dx.doi.org/10.1111/j.1741-6892.2004.00472.x.

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Caron, Franco. "Integrated Inventory Management." International Journal of Project Management 19, no. 8 (November 2001): 485–86. http://dx.doi.org/10.1016/s0263-7863(00)00049-1.

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Voaden, G. W. "Inventory Management Demystified." Manufacturing Engineer 70, no. 4 (1991): 10. http://dx.doi.org/10.1049/me:19910070.

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Dissertations / Theses on the topic "And inventory management"

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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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Anderson, James Robert 1972. "Automation of inventory management." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/34723.

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Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; in conjunction with the Leaders for Manufacturing Program at MIT, 2002.
Includes bibliographical references.
Qualcomm Wireless Business Solutions (QWBS) provides communication equipment and services used to track trucking fleets and other capital assets via satellite. Order fulfillment and inventory management practices in QWBS were non-uniform and manually intensive. Buyers used their own intuition and rules-of-thumb to decide how many parts to order and how many parts should be held in stock to buffer against unexpected demand fluctuations. Non-uniform, manual inventory management practices resulted in higher inventory levels, lower customer service, and higher operational costs than can be achieved with uniform, formal management practices. This thesis describes the design and implementation of an automated inventory management system that optimizes inventory levels and alleviates manual effort. Benchmarking was used to show how a similar firm used inventory management techniques to improve efficiency and reduce costs. Quantitative analysis was used to develop an inventory management simulator that allowed alternative management strategies to be tested before implementing changes to the real system. Simulation results showed that QWBS inventories for fiscal year 2001 (FY01) could have been reduced by 40% had an automated inventory management policy been in place. In addition, automation would have reduced the manual effort of buyers by about 32%. Results from the simulator motivated the formation of the Automated Inventory Manager (AIM) project team. AIM is designed to automate order fulfillment and inventory management tasks and allow procurement's human resources to be redirected from low level transaction processing tasks to more value-added tasks. AIM is expected to liberate $700K in working capital and save approximately $240K per year in ongoing inventory and labor cost reductions, representing a 1-year ROI of 200%. However, AIM represents only the first step in a recommended cost reduction program to streamline the fulfillment of customer orders and reduce organizational redundancies.
by James Robert Anderson.
S.M.
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Relph, Geoffrey James Frederick. "Inventory Management in Business Systems." Thesis, University of Manchester, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.516874.

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MacDonald, Steven D. "Navy inventory management decision-making." Monterey, California. Naval Postgraduate School, 1997. http://hdl.handle.net/10945/8724.

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The General Accounting Office (GAO) has stated that the Department of Defense (DoD) believes it is better to overbuy inventory items than to manage with just the right amount of stock. This thesis asserts that Navy inventory managers do not have a general tendency to overbuy items, but rather make rational purchasing decisions influenced and motivated by the environment of rewards and penalties in which they work. It is also asserted that Navy inventory managers are risk adverse due to the nature of their environment. Personal stockout costs are examined as one of the key factors influencing decision-making and risk adverse behavior. This thesis introduces a conceptual model that describes the Navy inventory management decision-making environment. This model shows the relationship between personal stockout costs, required service levels, cost considerations, and planning horizons across the different decision-making levels in the Navy. This study concludes that readiness-based performance measures must be changed to incorporate a cost focus, and that the risk facing inventory managers due to personal stockout costs needs to be reduced to change their behavior of lower inventory levels are desired
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Sriram, Ranganath. "Inventory management for drug discovery." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/43863.

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Thesis (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division; and, (M.B.A.) -- Massachusetts Institute of Technology, Sloan School of Management; in conjunction with the Leaders for Manufacturing Program at MIT, 2008.
Includes bibliographical references (p. 67-69).
This thesis documents a study carried out at the Novartis Institutes for BioMedical Research (NIBR) in Cambridge, MA. The study focused on the development of inventory management processes for laboratory consumables. The pharmaceutical R&D process is characterized by a dynamic project portfolio, which results in a great diversity of stock-keeping-units, low repeat order rates and high variability in consumption rates. These factors create significant challenges for the design of inventory management processes. We first present an assessment and diagnosis of the current state of inventory management at NIBR, using data gathered from various NIBR sites as well as other companies. We discuss underlying drivers that influence current behavior, and identify opportunities for improvement. We then develop alternative models for inventory management and compare these models along several dimensions such as stock room location & control, inventory ownership and replenishment options. We recommend the use of consolidated department level stock rooms as the most suitable option for NIBR. Detailed implementation plans are then developed and validated through a case study. We present key findings and recommendations for implementation, and discuss opportunities for future projects.
by Ranganath Sriram.
M.B.A.
S.M.
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Kim, Chiwon 1978. "Dynamic inventory management with expediting." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/44803.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2008.
Includes bibliographical references (leaves 108-110).
In modern global supply chains, goods travel stochastically from suppliers to their final destinations through several intermediate installations such as ports and distribution facilities. In such an environment, the supply chain must be agile to respond quickly to demand spikes. One way to achieve this objective is by expediting outstanding orders from the intermediate installations through premium delivery. In this research, we study the optimal expediting and regular ordering policies of a serial supply chain with a radio frequency identification deployment at each installation. Radio frequency identification technology allows capturing the state of the system, i.e., the time and location of goods, at any point in time, and thus enables to expedite outstanding orders directly to the destination, which faces stochastic demand. We identify systems, called sequential, that yield simple and tractable optimal policies. For sequential systems, outstanding orders including expediting do not cross in time. For such systems, we find that the optimal policies of expediting and regular ordering are the base stock type policies. The directional sensitivity of the base stock levels with respect to expediting costs is also obtained. We provide an important managerial insight on the radio frequency identification technology: we need to actively use the additional information from the radio frequency identification technology through new business processes such as expediting to unveil more benefits from the supply chain. On the other hand, orders may cross in time for systems that are not sequential, thus in such a case optimal policies are hard to obtain. We propose a heuristic for such systems and discuss its performance and limitation.
(cont.) Lastly, as an extension to the model, we study the optimal policies of expediting and regular ordering when there is an expiry date on outstanding orders. The optimal expediting policy identifies a number of base stock levels depending on the age of the orders, but the structure of the optimal policy remains simple for sequential systems.
by Chiwon Kim.
Ph.D.
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Han, Dafei. "Material planning and inventory management." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/46157.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2008.
Includes bibliographical references (leaf 43).
The management of raw material at Blue Brick in Singapore is costly as the company is forced to pay for external storage when the ports' time allowance runs out. A new ordering policy of (Q, R) continuous review model with forecast demand is developed to reduce inventory in the external warehouse. The policy parameters of four most commonly used paperboards are determined and simulations based on historical demand data are run to evaluate the policy. A simulation with Crystal Ball is also run to prove the efficacy of the (Q, R) method. Both the theoretical and simulation results suggest that the new ordering policy satisfies the stock-out requirement and ports' inventory day requirement. Thus Blue Brick can eliminate the four common paperboards' inventory in the external warehouse. Moreover if the forecast errors of other paperboards have the same levels as the ones of the four common paperboards, Blue Brick could eliminate all the inventories in the external warehouse.
by Dafei Han.
M.Eng.
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ZHANG, JIANG. "THREE ESSAYS ON INVENTORY MANAGEMENT." Case Western Reserve University School of Graduate Studies / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=case1087418721.

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Summerfield, Nichalin Suakkaphong. "Games of Decentralized Inventory Management." Diss., The University of Arizona, 2010. http://hdl.handle.net/10150/194894.

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Any decentralized retail or wholesale system of competing entities requires a benefit sharing arrangement when competing entities collaborate after their demands are realized. For instance, consider a distribution system similar to the observed behavior of independent car dealerships. If a dealership does not have in stock the car requested by a customer, it might consider acquiring it from a competing dealer. Such behavior raises questions about competitive procurement strategies that achieve system optimal outcomes. This dissertation consists of three main bodies of work contained respectively in chapters 2, 3, and 4. In the first work -- chapter 2, we examine a decentralized system that adopts an ex-post agreed transfer payment approach proposed by Anupindi et al. (Manuf. Serv. Oper.Manag. 4(3):349-368, 2001). In particular, we state a set of conditions on cost parameters and distributions that guarantee uniqueness of pure strategy Nash equilibrium. In the second work -- chapter 3, we introduce a multilevel graph framework that links decentralized inventory distribution models as a network of stochastic programming with recourse problems. This framework depicts independent retailers who maximize their individual expected profits, with each retailer independently procuring inventory in the ex-ante stage in response to forecasted demand and anticipated cooperative recourse action of all retailers in the system. The graph framework clarifies the modeling connection between problems in a taxonomy of decentralized inventory distribution models. This unifying perspective links the past work and shades light on future research directions. In the last work -- chapter 4, we examine and recast the biform games modeling framework as two-stage stochastic programming with recourse. Biform games modeling framework addresses two-stage games with competitive first stage and cooperative second stage without ex-ante agreement on profit sharing scheme. The two-stage stochastic programming view of biform games is demonstrated on examples from all the known examples regarding operational decision problems of competing firms from the literature. It allows an “old” mathematical methodology to showcase its versatility in modeling combined competitive and cooperative game options. In short, this dissertation provides important insights, clarifications, and strategic limitations regarding collaborations in decentralized distribution system.
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Herr, Lea. "Home management system application development for inventory management /." [Denver, Colo.] : Regis University, 2006. http://165.236.235.140/lib/lherr2007.pdf.

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Books on the topic "And inventory management"

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Office, General Accounting. Inventory management. Washington, D.C: The Office, 1992.

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United States. General Accounting Office. National Security and International Affairs Division. Inventory management. Washington, D.C: The Office, 1992.

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Toomey, John W. Inventory Management. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4363-3.

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1948-, Blackstone John H., Hoffmann Thomas Russell 1933-, and Fogarty Donald W, eds. Production & inventory management. 2nd ed. Cincinnati, OH: South-Western Pub. Co., 1991.

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Office, General Accounting. Defense inventory management. Washington, D.C: U.S. General Accounting Office, 1992.

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1948-, Blackstone John H., Hoffmann Thomas R, and American Production and Inventory Control Society., eds. Production & inventory management. 2nd ed. Cincinnati: South-Western Publishing, 1991.

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Office, General Accounting. Defense inventory management. Washington, D.C: U.S. General Accounting Office, 1997.

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Integrated inventory management. New York: John Wiley, 1999.

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Office, General Accounting. Defense inventory management. Washington, D.C: U.S. General Accounting Office, 1995.

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Dear, Anthony. Inventory management demystified. London: Chapman and Hall, 1990.

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Book chapters on the topic "And inventory management"

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Luszczak, Andreas. "Inventory Management." In Using Microsoft Dynamics AX 2009, 253–90. Wiesbaden: Vieweg+Teubner, 2010. http://dx.doi.org/10.1007/978-3-8348-9372-7_7.

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Rehman Khan, Syed Abdul, and Zhang Yu. "Inventory Management." In Strategic Supply Chain Management, 109–38. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15058-7_5.

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Krichen, Saoussen, and Sihem Ben Jouida. "Inventory Management." In Supply Chain Management and its Applications in Computer Science, 57–64. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119261469.ch5.

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Grob, Christopher. "Inventory management." In Inventory Management in Multi-Echelon Networks, 7–20. Wiesbaden: Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-23375-4_2.

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Gudehus, Timm, and Herbert Kotzab. "Inventory Management." In Comprehensive Logistics, 271–327. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24367-7_11.

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Luszczak, Andreas. "Inventory Management." In Using Microsoft Dynamics AX 2012, 275–319. Wiesbaden: Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-08295-6_7.

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Gudehus, Timm, and Herbert Kotzab. "Inventory Management." In Comprehensive Logistics, 271–327. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-68652-1_11.

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Engelmeyer, Torben. "Inventory Management." In Managing Intermittent Demand, 7–28. Wiesbaden: Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-14062-5_2.

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Dewhurst, Jim, and Paul Burns. "Inventory Management." In Small Business Management, 320–28. London: Palgrave Macmillan UK, 1993. http://dx.doi.org/10.1007/978-1-349-23109-6_18.

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Luszczak, Andreas. "Inventory Management." In Using Microsoft Dynamics AX 2012, 261–304. Wiesbaden: Springer Fachmedien Wiesbaden, 2013. http://dx.doi.org/10.1007/978-3-658-01709-5_7.

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Conference papers on the topic "And inventory management"

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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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Erden, Hakan. "Agricultural Inventory Management System." In 2015 Fourth International Conference on Agro-Geoinformatics. IEEE, 2015. http://dx.doi.org/10.1109/agro-geoinformatics.2015.7248152.

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Smitha and Avinash Aslekar. "IoT in Inventory Management." In 2022 International Conference on Decision Aid Sciences and Applications (DASA). IEEE, 2022. http://dx.doi.org/10.1109/dasa54658.2022.9765137.

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Babar, Ajinkya A., Manoj G. Dhanwale, Swati Patil, Ratnamala R. Sale, and Poonam R. Salunke. "Inventory Management System for Mobile Showroom." In National Conference on Relevance of Engineering and Science for Environment and Society. AIJR Publisher, 2021. http://dx.doi.org/10.21467/proceedings.118.52.

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Inventory management and supply chain management (SCM) is the backbone of any business operations. With the development of technology and the availability of process-driven software applications, inventory management has undergone revolutionary changes. In any business. Inventory Management System project is developed for making present system paperless and more digitalized [1]. Inventory Management System aims to control manual work in the showroom, to maintain their performance, records and to provide security to stored data. Inventory is always dynamic. Inventory management requires constant and careful evaluation of external and internal factors and control through planning and review. Most organizations have a separate department or job function called inventory planners (IP) who continuously monitor, control, and review inventory and interface with production, procurement, and finance departments. This is a desktop-based application, this is an effective method of Inventory Management System. Based on the collected data and via analyzing records, estimated arrival stock is computed and transmitted to all relevant segments. Inventory Management System will be reduced the manual work. Time is precious in today's fast-moving life. The wastage of time by waiting long in the queue for getting Inventory bill can be avoided by Inventory Management System.
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Biller, Bahar, Elliot Wolf, and Enver Yucesan. "Inventory Management Under Disruption Risk." In 2019 Winter Simulation Conference (WSC). IEEE, 2019. http://dx.doi.org/10.1109/wsc40007.2019.9004888.

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Chickering, David Maxwell, and David Heckerman. "Targeted advertising with inventory management." In the 2nd ACM conference. New York, New York, USA: ACM Press, 2000. http://dx.doi.org/10.1145/352871.352888.

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Mandel, Alexander, and Sergei Granin. "Optimization of Inventory Management Process." In 2018 8th International Conference on Logistics, Informatics and Service Sciences (LISS). IEEE, 2018. http://dx.doi.org/10.1109/liss.2018.8593254.

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Gunes Corlu, Canan, Bahar Biller, Elliot Wolf, and Enver Yucesan. "Inventory Management with Disruption Risk." In 2020 Winter Simulation Conference (WSC). IEEE, 2020. http://dx.doi.org/10.1109/wsc48552.2020.9383979.

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Kumbhakarna, Govind A., and R. P. Chaudhari. "RFID basedlab inventory management system." In 2017 International Conference on Information, Communication, Instrumentation and Control (ICICIC). IEEE, 2017. http://dx.doi.org/10.1109/icomicon.2017.8279154.

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ZOTA, Razvan Daniel, and Yasser AL HADAD. "Inventory Management Using Cross Prediction." In 3rd Central & Eastern European LUMEN International Conference – New Approaches in Social and Humanistic Sciences | NASHS 2017| Chisinau, Republic of Moldova | June 8-10, 2017. LUMEN Publishing House, 2018. http://dx.doi.org/10.18662/lumproc.nashs2017.51.

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Reports on the topic "And inventory management"

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Eichenberg, T. W., and A. C. Klein. Tritium inventory tracking and management. Office of Scientific and Technical Information (OSTI), September 1990. http://dx.doi.org/10.2172/6411763.

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Author, Not Given. RIMS (Records Inventory Management System) Handbook. Office of Scientific and Technical Information (OSTI), March 1989. http://dx.doi.org/10.2172/6201982.

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Baker, Scott, Stephanie Johnson, and Lorenz Kueng. Financial Returns to Household Inventory Management. Cambridge, MA: National Bureau of Economic Research, August 2020. http://dx.doi.org/10.3386/w27740.

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Diaz, Francis S., Nick Cardenas, and Leonel O. Brito. Implementing the National Inventory Management Strategy: A Case Study on DLA's National Inventory Management Strategy (NIMS). Fort Belvoir, VA: Defense Technical Information Center, December 2006. http://dx.doi.org/10.21236/ada460306.

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Wilson, D. Inventory processes for HANDI 2000 business management system. Office of Scientific and Technical Information (OSTI), August 1998. http://dx.doi.org/10.2172/10154406.

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Wright, Kevin Thomas. Inventory Report: Hazardous Waste Management Facility's Location L011. Office of Scientific and Technical Information (OSTI), February 2016. http://dx.doi.org/10.2172/1239338.

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Edwards, Stefan, and Robert J. James. US Navy Ships Food Service Divisions: Modernizing Inventory Management. Fort Belvoir, VA: Defense Technical Information Center, May 2010. http://dx.doi.org/10.21236/ada529439.

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Edwards, Stefan, and Robert J. James. U.S. Navy Ships Food Service Divisions: Modernizing Inventory Management. Fort Belvoir, VA: Defense Technical Information Center, June 2010. http://dx.doi.org/10.21236/ada524615.

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Tooker, Megan W., Sunny Stone, and Adam Smith. Fort Leonard Wood Cantonment Landscape Context, Inventory, and Management. Fort Belvoir, VA: Defense Technical Information Center, September 2007. http://dx.doi.org/10.21236/ada478592.

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Aas, Christopher A., James E. Lenhart, Olin H. Bray, and Christina Jenkin Witcher. Defense Nuclear Material Stewardship Integrated Inventory Information Management System (IIIMS). Office of Scientific and Technical Information (OSTI), November 2004. http://dx.doi.org/10.2172/975256.

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