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Relevant bibliographies by topics / Inventory control Stock control

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Academic literature on the topic 'Inventory control Stock control'

Author: Grafiati

Published: 4 June 2021

Last updated: 4 February 2022

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Journal articles on the topic "Inventory control Stock control"

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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 (December 31, 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 without an increase in inventory carrying costs.

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Dona Sabila, Alzena, Mustafid Mustafid, and Suryono Suryono. "Inventory Control System by Using Vendor Managed Inventory (VMI)." E3S Web of Conferences 31 (2018): 11015. http://dx.doi.org/10.1051/e3sconf/20183111015.

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The inventory control system has a strategic role for the business in managing inventory operations. Management of conventional inventory creates problems in the stock of goods that often runs into vacancies and excess goods at the retail level. This study aims to build inventory control system that can maintain the stability of goods availability at the retail level. The implementation of Vendor Managed Inventory (VMI) method on inventory control system provides transparency of sales data and inventory of goods at retailer level to supplier. Inventory control is performed by calculating safety stock and reorder point of goods based on sales data received by the system. Rule-based reasoning is provided on the system to facilitate the monitoring of inventory status information, thereby helping the process of inventory updates appropriately. Utilization of SMS technology is also considered as a medium of collecting sales data in real-time due to the ease of use. The results of this study indicate that inventory control using VMI ensures the availability of goods ± 70% and can reduce the accumulation of goods ± 30% at the retail level.

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Hill, Roger M. "Inventory control with indivisible units of stock transfer." European Journal of Operational Research 175, no. 1 (November 2006): 593–601. http://dx.doi.org/10.1016/j.ejor.2005.04.043.

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RathinaKumar, V., K. Lalitha Priya, Prasanna Kumar.I, and C. Ravekumar. "Construction Material Management through Inventory Control Techniques." International Journal of Engineering & Technology 7, no. 3.12 (July 20, 2018): 899. http://dx.doi.org/10.14419/ijet.v7i3.12.16558.

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Objectives: A research has shown that the construction materials account for more than 55%-60% of the total expenditure of a project. Efficient material planning plays a major role in the successful handing over of a project within the estimated cost and schedule. Methods: This paper mainly focuses on materials planning and inventory control as these are the major aspects of material management. S-curve analysis is performed to measure the fluctuation between estimated materials cost and market materials cost. The major reasons for this are identified by interviewing engineers and contractors. Inventory control techniques such as ABC classification as well as EOQ analysis are conducted. Findings: The result of the S-curve analysis show that the actual materials cost is higher than the planned materials cost in most cases. ABC and EOQ analysis are applied to maintain sufficient stock in inventory and any given point of time, to protect the materials in the inventory against damages, to reduce inventory holding costs, to overcome stock-out problems and to maintain the inventory in an optimal level. Sensitivity check is applied to the results of EOQ analysis. The stock-out of A class and B class material problems faced in the construction site can be reduced by the application of ABC classification and BOQ analysis. The total expenditure of inventory is less after the adoption of these simple inventory control techniques. Conclusion: Instead of using costly software for inventory management, the engineers and contractors may use these simple inventory control techniques which are equally beneficial and economical.

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Ernst, Ricardo, Jose-Luis Guerrero, and Alan Roshwalb. "A Quality Control Approach for Monitoring Inventory Stock Levels." Journal of the Operational Research Society 44, no. 11 (November 1993): 1115. http://dx.doi.org/10.2307/2583873.

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Ernst, Ricardo, Jose-Luis Guerrero, and Alan Roshwalb. "A Quality Control Approach for Monitoring Inventory Stock Levels." Journal of the Operational Research Society 44, no. 11 (November 1993): 1115–27. http://dx.doi.org/10.1057/jors.1993.184.

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Ignaciuk, Przemysław, and Łukasz Wieczorek. "Networked Base-Stock Inventory Control in Complex Distribution Systems." Mathematical Problems in Engineering 2019 (November 4, 2019): 1–14. http://dx.doi.org/10.1155/2019/3754367.

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This paper addresses the resource distribution problem in logistic networks with a complex, multi-echelon interconnection structure. The considered class of systems encompasses two types of nodes: controlled nodes subject to inventory management decisions and sources providing goods to the system to sustain the sales. The stock gathered at the controlled nodes is used to satisfy an exogenous, uncertain demand that may be placed at any controlled node. The stock is replenished from the sources and other controlled nodes, and the flow of goods proceeds with positive lead-time delay. The network topology does not assume any structural simplifications typically considered in inventory control problems, i.e., the nodes can form a link with any other node which leads to a mesh, multi-echelon structure. The contribution of this paper is twofold: First, the classical order-up-to policy is analyzed formally with respect to such nontrivial connectivity architectures, and conditions for full demand satisfaction under any bounded demand pattern are established. Next, a networked extension of the classical policy is proposed. The introduced networked policy is shown to generate smaller holding costs while maintaining the same service level as the classical policy. The formal study is supported by numerical tests involving genetic algorithms and simulation-based optimization.

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Braglia, Marcello, Roberto Gabbrielli, and Francesco Zammori. "Stock diffusion theory: a dynamic model for inventory control." International Journal of Production Research 51, no. 10 (May 2013): 3018–36. http://dx.doi.org/10.1080/00207543.2012.752584.

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Saputro, Janu Ilham, Irfan Yuanda Hasibuan, and Dwiana Octavia. "Information System Design Reminder Inventory Control At PT Nuansa Timur Lestari." Aptisi Transactions on Management (ATM) 4, no. 1 (December 29, 2019): 49–56. http://dx.doi.org/10.33050/atm.v4i1.1085.

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The current information needs in the business world to be very important in determining the progress of a company. A good activity on a single company or technology is also determined by the available information. PT Lestari Eastern Nuances is a company engaged in the restaurant. The logging system supplies the raw materials of food are running currently still using Microsoft Excel to record incoming and outgoingraw food. The current running system still has many flaws and weaknesses as it takes quite a long time to figure out the amount of supplies of goods raw materials because an admin shed have to calculate the physical stock quantities directly, the occurrence of the difference in the number of requests the raw material with raw material expenses due to miscalculations by admin warehouse, takes a long time to make a request and expense report raw materials causing the company's performance be hampered, the absence of a reminder to remind Admins about the number of warehouse stock of raw materials so that when the raw materials needed by the chef stock no. Based on existing problems then needed a system to help the admin staff stock in managing demand and pengerluaran raw material so that it doesn't happen the difference in stocks of raw materials. The system will be created using the PHP programming language and the Mysql database, the method of analysis PIECES and using a systems development method in System Development Life Cycle (SDLC).

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Han, Qing Tian. "Study on Application of Inventory Control Models." Applied Mechanics and Materials 336-338 (July 2013): 624–27. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.624.

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Firstly, the inventory control models were studied, considering of the cost of store and lack of stock. Secondly, both the models of the distribution centre and supplier were presented. Finally, a numeric example was analyzed by applying the models. The results show that the models are easily to be carried out in engineering field, and it is useful to control the inventory and raise the store efficiency.

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Dissertations / Theses on the topic "Inventory control Stock control"

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Boussofiane, Abd-El-Aziz. "Ordering and stock holding under inflation." Thesis, Lancaster University, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.262154.

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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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Pong, Wai-chung. "Interstage stock control for series production lines with variable operation times /." [Hong Kong] : University of Hong Kong, 1985. http://sunzi.lib.hku.hk/hkuto/record.jsp?B12315369.

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Smith, Jane R. Weir Julie. "Work-load planning for Navy stock points." Monterey, California : Naval Postgraduate School, 1990. http://handle.dtic.mil/100.2/ADA241823.

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Thesis (M.S. in Management (Material Logistics))--Naval Postgraduate School, December 1990.
Thesis Advisor(s): McMasters, Alan W. ; Weir, Maurice. "December 1990." Description based on title screen as viewed on April 2, 2010. DTIC Identifier(s): Inventory control, Navy, work load planning, stock points, warehouse management, theses. Author(s) subject terms: Work-load planning, Navy stock points, TQM, warehouse management. Includes bibliographical references (p. 153). Also available in print.

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Melodi, Gabriel Olamitimbo. "Inventory control in a developing economy : the case of Nigeria." Thesis, University of Ulster, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.258228.

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龐維宗 and Wai-chung Pong. "Interstage stock control for series production lines with variable operation times." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1985. http://hub.hku.hk/bib/B31207054.

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Angerer, Alfred. "The impact of automatic store replenishment on retail technologies and concepts for the out-of-stocks problem /." Wiesbaden : Deutscher Universitäts-Verlag, 2006. http://www.myilibrary.com?id=134526.

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Southworth, M. S. "An alternative approach to inventory control and forecasting methods in the public and private sectors." Thesis, Cranfield University, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.237724.

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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.

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El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
This 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.

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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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Books on the topic "Inventory control Stock control"

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Improving inventory record accuracy: Getting your stock information right. Boston, MA: Elsevier Butterworth Heinemann, 2004.

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Inventory management explained: A focus on forecasting, lot sizing, safety stock, and ordering systems. Pleasant Prairie, WI: Ops Pub., 2009.

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Archibald, T. W. An optimal policy for a two depot inventory problem with stock transfer. Edinburgh: University of Edinburgh, Management School, 1994.

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Bartmann, Dieter. Inventory control: Models and methods. Berlin: Springer-Verlag, 1992.

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Production and inventory control: Principles and techniques. 2nd ed. Englewood Cliffs, NJ: Prentice-Hall, 1985.

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Turner, Moira. Usinga microcomputer for stock recording: Work based project by Moira Turner, Ann Evans. (Bristol): (Further Education Staff College), 1985.

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Morrison, Alex. Storage and control of stock: For commerce, industry and public undertakings. 4th ed. London: Pitman, 1986.

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

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Bragg, Steven M. Inventory best practices. Hoboken, N.J: J. Wiley, 2004.

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Office, Australian Audit. Department of Defence: Principal Item Stock Control and Entitlement System. Canberra: Australian Govt. Pub. Service, 1986.

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Book chapters on the topic "Inventory control Stock control"

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Thomopoulos, Nick T. "Safety Stock." In Demand Forecasting for Inventory Control, 149–63. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11976-2_11.

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Oakshott, Les. "Managing Stock Levels: Materials Management and Inventory Control." In Essential Quantitative Methods, 421–33. London: Macmillan Education UK, 2009. http://dx.doi.org/10.1007/978-0-230-36581-0_16.

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Oakshott, Les. "Managing stock levels: materials management and inventory control." In Essential Quantitative Methods, 410–22. London: Macmillan Education UK, 2016. http://dx.doi.org/10.1007/978-1-137-51856-9_16.

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Beyer, Dirk, Suresh P. Sethi, and Ramaswamy Sridhar. "Average-Cost Optimality of a Base-Stock Policy for a Multi-Product Inventory Model with Limited Storage." In Decision & Control in Management Science, 241–60. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-3561-1_13.

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Khatua, D., E. Samonto, K. Maity, and S. Kar. "A Single Period Fuzzy Production Inventory Control Model with Exponential Time and Stock Dependent Fuzzy Demand." In Recent Advances in Intelligent Information Systems and Applied Mathematics, 403–13. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-34152-7_31.

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Jones, Erick C. "Inventory Control." In Supply Chain Engineering and Logistics Handbook, 141–50. Boca Raton : CRC Press, an imprint of Taylor & Francis Group, 2019.: CRC Press, 2019. http://dx.doi.org/10.1201/9781315159096-5.

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Golwalkar, Kiran R. "Inventory Control." In Production Management of Chemical Industries, 243–57. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28253-4_13.

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Oakshott, Les. "Inventory control." In Essential Quantitative Methods for Business, Management and Finance, 244–56. London: Macmillan Education UK, 1998. http://dx.doi.org/10.1007/978-1-349-14759-5_15.

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Christou, Ioannis T. "Inventory Control." In Quantitative Methods in Supply Chain Management, 269–344. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-766-2_4.

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Locker, Yvonne. "Stock Control." In Business Workshop, 174–78. London: Palgrave Macmillan UK, 1991. http://dx.doi.org/10.1007/978-1-349-11727-7_17.

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Conference papers on the topic "Inventory control Stock control"

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Panayiotou, C. G., C. G. Cassandras, and Ping Zhang. "On-line inventory cost minimization for make-to-stock manufacturing systems." In Proceedings of 2002 American Control Conference. IEEE, 2002. http://dx.doi.org/10.1109/acc.2002.1025354.

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Efrilianda, Devi Ajeng, Mustafid, and R. Rizal Isnanto. "Inventory control systems with safety stock and reorder point approach." In 2018 International Conference on Information and Communications Technology (ICOIACT). IEEE, 2018. http://dx.doi.org/10.1109/icoiact.2018.8350766.

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Benhamida, Fatima Zohra, Ouahiba Kaddouri, Tahar Ouhrouche, Mohamed Benaichouche, Diego Casado-Mansilla, and Diego Lopez-de-Ipina. "Stock&Buy: A New Demand Forecasting Tool For Inventory Control." In 2020 5th International Conference on Smart and Sustainable Technologies (SpliTech). IEEE, 2020. http://dx.doi.org/10.23919/splitech49282.2020.9243824.

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Ignaciuk, P., and A. Bartoszewicz. "LQ optimal sliding mode stock replenishment strategy for inventory systems with multiple supply alternatives." In 2009 European Control Conference (ECC). IEEE, 2009. http://dx.doi.org/10.23919/ecc.2009.7074718.

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Ignaciuk, Przemyslaw, and Andrzej Bartoszewicz. "DSM control of inventory systems with deteriorating stock and multiple supply sources." In Robotics (MMAR). IEEE, 2011. http://dx.doi.org/10.1109/mmar.2011.6031349.

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Zhang, Yajun, and Zheng Wang. "A Markov decision process model for inventory control under invisible stock loss and inaccurate record." In 2017 11th Asian Control Conference (ASCC). IEEE, 2017. http://dx.doi.org/10.1109/ascc.2017.8287564.

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Ignaciuk, P. "Control of production-inventory systems with deteriorating stock and unreliable delayed supply channel." In 2013 IEEE 52nd Annual Conference on Decision and Control (CDC). IEEE, 2013. http://dx.doi.org/10.1109/cdc.2013.6759899.

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Ignaciuk, Przemyslaw. "Base-stock distributed inventory management in continuous-review logistic systems — Control system perspective." In 2017 22nd International Conference on Methods and Models in Automation and Robotics (MMAR). IEEE, 2017. http://dx.doi.org/10.1109/mmar.2017.8046971.

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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." In ICIBE 2019: 2019 The 5th International Conference on Industrial and Business Engineering. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3364335.3364382.

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Du, Wenyi, Wei Gao, and Xiaowo Tang. "An partial backlogging inventory model for non-instantaneous deteriorating items with special stock-dependent demand." In 2015 27th Chinese Control and Decision Conference (CCDC). IEEE, 2015. http://dx.doi.org/10.1109/ccdc.2015.7162246.

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Reports on the topic "Inventory control Stock control"

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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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Eaton, Stacey Lee. NEN Division Radioactive Material Inventory Control. Office of Scientific and Technical Information (OSTI), December 2012. http://dx.doi.org/10.2172/1058055.

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DEPARTMENT OF THE ARMY WASHINGTON DC. Storage and Supply Activities: Physical Inventory Control. Fort Belvoir, VA: Defense Technical Information Center, November 2001. http://dx.doi.org/10.21236/ada402453.

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Rafnson, Gary. Designing an (s,S) Inventory Control System. Fort Belvoir, VA: Defense Technical Information Center, June 1998. http://dx.doi.org/10.21236/ada348287.

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Adkisson, B. P. Maintenance accountability, jobs, and inventory control (MAJIC) program. Office of Scientific and Technical Information (OSTI), January 1990. http://dx.doi.org/10.2172/7015597.

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Young, Shelton R., James Heifrich, John Issel, Curt Malthouse, and Timothy Soltis. Contract Terminations at DOD Wholesale Inventory Control Activities. Fort Belvoir, VA: Defense Technical Information Center, June 1993. http://dx.doi.org/10.21236/ada376422.

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Chari, Anusha, Paige Ouimet, and Linda Tesar. Acquiring Control in Emerging Markets: Evidence from the Stock Market. Cambridge, MA: National Bureau of Economic Research, November 2004. http://dx.doi.org/10.3386/w10872.

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Hostick, C., C. Imhoff, and L. Levine. Hanford regulated laundry: inventory control and production improvement study. Office of Scientific and Technical Information (OSTI), April 1986. http://dx.doi.org/10.2172/6034648.

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Allen, James, Matthew Werth, Marissa Campobasso, and Yazen Kashlan. Sustainment management system, water control structures : inventory and inspection template. Engineer Research and Development Center (U.S.), March 2021. http://dx.doi.org/10.21079/11681/39859.

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Hubbard, R. Glenn, and Darius Palia. Benefits of Control, Managerial Ownership, and the Stock Returns of Acquiring Firms. Cambridge, MA: National Bureau of Economic Research, April 1995. http://dx.doi.org/10.3386/w5079.

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