Готові списки джерел за темами / Optimal inventory management

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Автор: Grafiati

Опубліковано: 30 травня 2022

Оновлено: 31 травня 2022

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Статті в журналах з теми "Optimal inventory management"

Jakšič, M., and J. C. Fransoo. "Optimal inventory management with supply backordering." International Journal of Production Economics 159 (January 2015): 254–64. http://dx.doi.org/10.1016/j.ijpe.2014.09.015.

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Agrawal, Narendra, and Stephen A. Smith. "Optimal inventory management using retail prepacks." European Journal of Operational Research 274, no. 2 (2019): 531–44. http://dx.doi.org/10.1016/j.ejor.2018.10.014.

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Tayi, Giri Kumar. "Optimal inventory cycle counting." Omega 13, no. 6 (1985): 535–39. http://dx.doi.org/10.1016/0305-0483(85)90041-6.

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Baradel, Nicolas, Bruno Bouchard, David Evangelista, and Othmane Mounjid. "Optimal inventory management and order book modeling." ESAIM: Proceedings and Surveys 65 (2019): 145–81. http://dx.doi.org/10.1051/proc/201965145.

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We model the behavior of three agent classes acting dynamically in a limit order book of a financial asset. Namely, we consider market makers (MM), high-frequency trading (HFT) firms, and institutional brokers (IB). Given a prior dynamic of the order book, similar to the one considered in the Queue-Reactive models [12, 18, 19], the MM and the HFT define their trading strategy by optimizing the expected utility of terminal wealth, while the IB has a prescheduled task to sell or buy many shares of the considered asset. We derive the variational partial differential equations that characterize the value functions of the MM and HFT and explain how almost optimal control can be deduced from them. We then provide a first illustration of the interactions that can take place between these different market participants by simulating the dynamic of an order book in which each of them plays his own (optimal) strategy.

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Su, Shou-Mei, and Shy-Der Lin. "The Optimal Inventory Policy of Production Management." Engineering 05, no. 05 (2013): 9–13. http://dx.doi.org/10.4236/eng.2013.55a002.

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Wagner, Michael R. "Robust Inventory Management: An Optimal Control Approach." Operations Research 66, no. 2 (2018): 426–47. http://dx.doi.org/10.1287/opre.2017.1669.

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Stoikova, L. S. "Optimal inventory management under incomplete demand information." Cybernetics and Systems Analysis 27, no. 4 (1992): 573–80. http://dx.doi.org/10.1007/bf01130369.

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Raviv, Tal, and Ofer Kolka. "Optimal inventory management of a bike-sharing station." IIE Transactions 45, no. 10 (2013): 1077–93. http://dx.doi.org/10.1080/0740817x.2013.770186.

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Zhang, Mingyang, Xufeng Yang, Taichiu Edwin Cheng, and Chen Chang. "Inventory Management of Perishable Goods with Overconfident Retailers." Mathematics 10, no. 10 (2022): 1716. http://dx.doi.org/10.3390/math10101716.

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Анотація:

In recent years, many retailers sell their products through not only offline but also online platforms. The sales of perishable goods on e-commerce platforms recorded phenomenal growth in 2020. However, some retailers are overconfident and order more products than the optimal ordering quantity, resulting in great losses due to product decay. In this paper, we apply the newsvendor model to analyze the impacts of overconfident behavior on the retailer’s optimal pricing and order quantity decisions and profit. Our model provides the overconfident retailer with a feasible and effective method to adjust optimal ordering and pricing decisions. Through numerical studies, we examine the retailer’s optimal decisions under the scenarios of complete rationality, over-estimation, and over-precision. We find that the over-estimation retailer always orders more products than the optimal order quantity, and the over-precision retailer always orders fewer products than the optimal order quantity. Under some conditions, overconfidence hurts the retailer’s revenue to a large extent. Therefore, it is beneficial for the overconfident retailer to adjust its order quantity according to our research findings.

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Sun, Pei Hong, Lei Tang, and Li Ying Tang. "Application of Optimal Control in Inventory Management of Production." Applied Mechanics and Materials 29-32 (August 2010): 2503–8. http://dx.doi.org/10.4028/www.scientific.net/amm.29-32.2503.

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Countering the inventory management problem of manufacturing enterprise, according to the optimal control theory, considering the numbers of products as control variables and the stocks as the state variables, this essay establishes systemic real-time dynamic model, gives the objective function, and makes use of dynamic programming method to solve the optimal control and obtains the optimal inventory, which provides a theoretical foundation for the production and inventory management of manufacturing enterprise.

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Дисертації з теми "Optimal inventory management"

Máková, Barbora. "Hedge Ratio Estimation in Inventory Management." Master's thesis, Vysoká škola ekonomická v Praze, 2013. http://www.nusl.cz/ntk/nusl-198395.

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Companies dependent on commodities for their production have to deal with volatile commodity prices and should employ measures for risk reduction as unfavourable spot price development may cause significant losses. A useful tool for diminishing the risk is hedging on futures market; however, this approach faces a crucial question of optimal hedge ratio determination (ratio between spot and futures units). Our thesis examines nine different ways of optimal hedge ratio estimation (naive, Sharpe, mean extended Gini coefficient, generalized semivariance, value at risk, and minimum variance through OLS, error correction, GARCH, and bivariate GARCH models) and evaluates their efficiency using the data on eight different commodities. The results differ across the respective commodities and cannot be generalized. Two conclusions resulting from the analysis refer to performance of naive and OLS hedge ratios and constant vs time varying hedge ratios. We find that complex hedge ratios, such as bivariate GARCH or VaR hedge ratios, do not outperform naive and OLS hedge ratios and that the results of constant hedge ratios are mostly as good as results of time-varying hedge ratios.

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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.

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Thesis: M. Eng. in Supply Chain Management, Massachusetts Institute of Technology, Supply Chain Management Program, 2019 Cataloged 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

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Güller, Mustafa [Verfasser], and Bernd [Akademischer Betreuer] Noche. "Optimal Inventory Control and Distribution Network Design of Multi-Echelon Supply Chains / Mustafa Güller. Betreuer: Bernd Noche." Duisburg, 2016. http://d-nb.info/1102896934/34.

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Weber, Martin. "Optimal inventory control in the presence of dynamic pricing and dynamic advertising." Doctoral thesis, Humboldt-Universität zu Berlin, 2015. http://dx.doi.org/10.18452/17339.

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Diese Dissertation analysiert das optimale Zusammenspiel dynamischer Preissetzung, dynamischer Werbung und Bestandsmanagement. Wir betrachten verschiedene Optimierungsprobleme für einen monopolistischen Händler bei gegebener zeitabhängiger deterministischer Nachfrage. In Kapitel 2 erweitern wir das Modell von Rajan et al. (1992). Der Händler darf einen dynamischen Preis, eine dynamische Werberate und die Lagergröße bei fester Verkaufsdauer wählen, so dass der Barwert von Umsatz minus Lager-, Einkaufs- und (nichtlinearen) Werbekosten maximiert wird; zusätzlich zerfällt der Lagerbestand mit exponentieller Rate. Wir ermitteln die optimale Preis-Werbe-Steuerung und die optimale Lagergröße und betrachten auch semi-statische Situationen. Wir führen eine Sensitivitätsanalyse im Hinblick auf den Einfluss der Modellparameter auf die optimalen Ergebnisse durch und vergleichen die Ergebnisse des dynamischen Modells mit denen der semi-statischen Modelle. In Kapitel 3 interpretieren wir den Verkaufsprozess als gesteuerten Diffusionsprozess eines neuen Produktes und die Lagergröße als unerschlossenen Marktanteil. Der Anfangszustand ist exogen gegeben und die Nachfrage hängt zusätzlich vom gegenwärtigen Zustand des Systems ab. Ein Zerfall des Lagerbestandes und alle Kosten bis auf Werbekosten sind ausgenommen. Anders als in Helmes et al. (2013) leiten wir die optimale Steuerung mithilfe des Pontrjaginschen Maximumprinzips her. Als Anwendung betrachten wir das Modell von von Bertalanffy. In Kapitel 4 erweitern wir die Analyse von einperiodigen Modellen auf langfristige Modelle. Die Länge des Verkaufszyklus und die Lagergröße sind Entscheidungsvariablen, wobei die optimalen Steuerungen aus Kapitel 2 bzw. Kapitel 3 während eines Zyklus angewandt werden. Existenzbedingungen für ein optimales Paar aus Zykluslänge und Lagergröße werden hergeleitet. Wir analysieren verschiedene Anwendungs- und Illustrationsbeispiele und verifizieren Strukturaussagen der optimalen Entscheidungsgrößen. This dissertation analyzes the optimal coordination of dynamic pricing, dynamic advertising, and inventory management. We consider different optimization problems for a monopolistic retailer who faces a time-dependent deterministic demand. In Chapter 2, we generalize the model of Rajan et al. (1992). The retailer is allowed to choose a dynamic price, a dynamic advertising rate, and the inventory capacity for a sales period of fixed length so that the present value of revenue minus inventory, purchasing and (nonlinear) advertising costs is maximized; in addition, the inventory deteriorates at an exponential rate. We derive the optimal dynamic price-advertising control and the optimal capacity and also consider partially static cases. For the optimally controlled dynamic model we carry out a sensitivity analysis with respect to the model parameters and we compare the results of the dynamic model with those of the partially static models. In Chapter 3, we interpret the sales process as the controlled adoption process of a new product and the inventory capacity as untapped market share. The initial state is assumed to be exogenously given and the demand depends on the current state of the system. We exclude, however, deterioration effects and any other costs but the cost of advertising. We derive the optimal controls using a different technique than Helmes et al. (2013) - we apply Pontryagin’s maximum principle. As an interesting application we consider the controlled von Bertalanffy model. In Chapter 4, we extend the analysis of one-period models to multi-period and longterm average models. Assuming that the optimal controls derived in Chapter 2 and Chapter 3 are applied throughout a cycle, we treat the cycle length and the capacity as decision variables. We derive conditions that ensure the existence of an optimal pair of cycle length and capacity. Various examples and illustrations are given, and structural properties of the optimal pair are verified.

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Козлова, Юлія Юріївна. "Оптимальне управління запасами, як один із механізмів подолання кризового явища". Thesis, Національної академії Національної гвардії України, 2017. http://repository.kpi.kharkov.ua/handle/KhPI-Press/35023.

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Satir, Benhur. "An Analysis Of Benefits Of Inventory And Service Pooling And Information Sharing In Spare Parts Management Systems." Phd thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/3/12612073/index.pdf.

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Inventory management and production control problem of a dealer operating in a decentralized spare parts network is analyzed in this dissertation. Spare parts network is assumed to be formed of two dealers and the problem of a dealer is considered under the assumption that the other dealer has a known policy. These dealers collaborate through inventory and service pooling. Furthermore, the dealers collaborate through sharing information on the net inventory status. Upon demand arrival, a dealer may request a part from the other dealer, in which case a payment is made. Under this competitive and collaborative environment, the optimal operating policy of an individual dealer is characterized under full information. Through computational analysis, the conditions under which the dealer under consideration is most profitable are identified. Finally, by comparing dierent pooling strategies and several information availability levels, the benefit of information sharing is quantified.

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Mandl, Christian [Verfasser], Stefan [Akademischer Betreuer] Minner, Stefan [Gutachter] Minner, and Srinagesh [Gutachter] Gavirneni. "Optimal Procurement and Inventory Control in Volatile Commodity Markets : Advances in Stochastic and Data-Driven Optimization / Christian Mandl ; Gutachter: Stefan Minner, Srinagesh Gavirneni ; Betreuer: Stefan Minner." München : Universitätsbibliothek der TU München, 2019. http://d-nb.info/1190818779/34.

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Huarca, Guevara Kevin Paolo, and Ricalde Harless Hanset Ninahuanca. "Análisis correlacional entre los costos evitables en operaciones de importación marítima y nivel de servicio: el caso de una empresa." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2018. http://hdl.handle.net/10757/626038.

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La presente tesis tiene como objetivo identificar si existe correlación alguna entre los costos evitables en operaciones de importación marítima y la prestación de nivel de servicio mostrando resultados sobre la implementación realizada en una de las principales empresas en el rubro de importación y distribución de equipamiento gastronómico profesional de la ciudad de Lima. Luego de realizar la implementación aprobada para el 2017, los costos evitables en operaciones de importación marítima fueron reducidos en un 13.85% con respecto al periodo anterior. Se demostró que los costos evitables (r=0.75) tiene una relación alta y positiva con el nivel de servicio, es decir que a medida que se disminuyan y la empresa deje de asumir estos podrá ser mejor su nivel de servicio. Para la presentación se tiene una estructura de cinco capítulos: En el primer capítulo, el marco teórico, se detalló conceptos relacionados a los costos evitables en operación de importación marítima, nivel de servicio, cantidad óptima a ordenar, inventario de seguridad, punto de reorden y costos totales de gestión de inventarios. Además, se mostró información sobre la empresa donde se implementaron las mejoras. En el segundo capítulo, se explicó temas en relación al plan de investigación, dando a conocer el problema, la formulación de la hipótesis, el objetivo general y los específicos. En el tercer capítulo, se trató la metodología de la investigación, donde se determinó el enfoque y diseño, la población, la definición de variables y la recolección de datos. En el cuarto capítulo, se desarrolló la investigación calculando los costos evitables en 3 niveles de servicio. Se estableció dos escenarios (con costos evitables y sin costos evitables) a los sub-variables niveles de servicio, cantidad óptima a ordenar, inventario de seguridad, punto de reorden y costos totales de gestión de inventarios. Finalmente, en el quinto capítulo se mostró el análisis de resultados respondiendo al problema si existe correlación entre los costos evitables en operación de importación marítima y la prestación de nivel de servicio, y brindaremos conclusiones y las recomendaciones sobre la investigación desarrollada. The objective of this thesis is to identify if there is any correlation between the avoidable costs in maritime import operations and the level of service provision, showing results on the implementation carried out in one of the main companies in the import and distribution of professional gastronomic equipment category from the city of Lima. After implementing the approved implementation for 2017, avoidable costs in maritime import operations were reduced by 13.85% compared to the previous period. It was shown that the avoidable costs (r = 0.75) has a high and positive relationship with the service level, that is to say that as they decrease and the company stops assuming these, their level of service may be better. For the presentation there is a structure of five chapters: In the first chapter, the theoretical framework, detailed concepts related to avoidable costs in maritime import operation, service level, optimal quantity to order, safety inventory, reorder point and total inventory management costs. In addition, information was shown about the company where the improvements were implemented. In the second chapter, topics were explained in relation to the research plan, making known the problem, the formulation of the hypothesis, the general objective and the specific ones. In the third chapter, the methodology of the research was discussed, where the approach and design, the population, the definition of variables and the data collection were determined. In the fourth chapter, the research was developed calculating avoidable costs in 3 levels of service. Two scenarios were established (with avoidable costs and no avoidable costs) to the sub-variables service levels, optimal quantity to be ordered, security inventory, reorder point and total inventory management costs. Finally, the fifth chapter showed the analysis of results answering the problem if there is a correlation between the avoidable costs in maritime import operation and the level of service provision, and we will provide conclusions and recommendations on the research developed. Tesis

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Fang, Jianxin. "Analyse et algorithmes de résolution de systèmes ATO (Assemble-To-Order) : Applications aux systèmes du type W." Thesis, Ecole centrale de Lille, 2017. http://www.theses.fr/2017ECLI0012/document.

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Nous analysons un type W de système de l’Assemble-à-commande avec des délais de livraison aléatoires, l'arrivée aléatoire de la demande et des ventes perdues, en temps continu. Nous formulons le problème en tant que processus de décision Markov à l'horizon infini. Nous nous éloignons de l'approche standard en caractérisant une région de l'espace d'état où toutes les propriétés de la fonction de coût tiennent. Nous caractérisons la politique optimale dans cette région. En particulier, nous montrons que, dans l'intérieur de la région récurrente, les composants sont toujours produits. Nous caractérisons également la politique d'allocation de composants optimale qui spécifie si une demande de produit arrivant devrait être remplie. Notre analyse révèle que la politique d'allocation optimale est contre-intuitive. Par exemple, même lorsqu'un produit domine l'autre, en termes de coût/taux de vente perdue, sa demande peut ne pas avoir une priorité absolue par rapport à la demande de l'autre produit. Une telle caractéristique n'a pas été observée dans de nombreux paramètres intégrés de production/inventaire où l'allocation d'inventaire suit une priorité fixe pour satisfaire les exigences. Nous montrons également que la structure de la politique optimale reste la même pour les systèmes à production par lots, les temps de production répartis par Erlang et la demande de produits non unitaire. Enfin, nous proposons des heuristiques efficaces qui peuvent être utilisées comme substitut à la politique optimale ou peuvent être utilisées comme une politique de départ pour les algorithmes communs utilisés pour obtenir une politique optimale dans le but de réduire leur temps de calcul We analyze a W-configuration assemble-to-order system with random lead times, random arrival of demand, and lost sales, in continuous time. We formulate the problem as an infinite-horizon Markov decision process. We deviate from the standard approach by first characterizing a region (the recurrent region) of the state space where all properties of the cost function hold. We then characterize the optimal policy within this region. In particular, we show that within the interior of the recurrent region components are always produced. We also characterize the optimal component allocation policy which specifies whether an arriving product demand should be fulfilled. Our analysis reveals that the optimal allocation policy is counter-intuitive. For instance, even when one product dominates the other, in terms of lost sale cost and lost sale cost rate (i.e., demand rate times the lost sale cost), its demand may not have absolute priority over the other product’s demand. Such a feature has not been observed in many integrated production/inventory settings where inventory allocation follows a fixed priority in satisfying demands. We also show that the structure of the optimal policy remains the same for systems with batch production, Erlang distributed production times, and non-unitary product demand. Finally, we propose efficient heuristics that can be either used as a substitute for the optimal policy or can be used as a starting policy for the common algorithms that are used to obtain the optimal policy in an effort to reduce their computational time

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Tulpule, Pinak J. "Control and optimization of energy flow in hybrid large scale systems - A microgrid for photovoltaic based PEV charging station." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1313522717.

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Книги з теми "Optimal inventory management"

Sherbrooke, Craig C. Optimal Inventory Modeling of Systems: Multi-Echelon Techniques (International Series in Operations Research & Management Science). 2nd ed. Springer, 2004.

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Частини книг з теми "Optimal inventory management"

De Cuypere, Eline, Koen De Turck, Herwig Bruneel, and Dieter Fiems. "Optimal Inventory Management in a Fluctuating Market." In Analytical and Stochastic Modeling Techniques and Applications. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39408-9_12.

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Shah, Nita H., and Milan B. Patel. "Retailer’s Optimal Ordering Policy Under Supplier Credits When Demand is Fuzzy and Cloud Fuzzy." In Soft Computing in Inventory Management. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2156-7_1.

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Sieke, Marcel. "Optimal Inventory Allocation for Multiple Retailers under Service Level Contracts." In Supply Chain Contract Management. Springer Fachmedien Wiesbaden, 2008. http://dx.doi.org/10.1007/978-3-658-24382-1_5.

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Kurtulus, Ibrahim S. "Optimal and Heuristic Solutions for the Spare Parts Inventory Control Problem." In Service Parts Management. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-039-7_11.

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Yao, David D., and Shaohui Zheng. "Optimal Inventory Control with Substitution: Single- and Multi-Period Models." In International Series in Operations Research & Management Science. Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0373-6_8.

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Kapuscinski, Roman, and Sridhar Tayur. "Optimal Policies and Simulation-Based Optimization for Capacitated Production Inventory Systems." In International Series in Operations Research & Management Science. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4949-9_2.

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Bertazzi, L., D. P. Bertsekas, and M. G. Speranza. "Optimal and Neuro—Dynamic Programming Solutions for a Stochastic Inventory Transportation Problem." In Models, Methods and Decision Support for Management. Physica-Verlag HD, 2001. http://dx.doi.org/10.1007/978-3-642-57603-4_4.

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Cesaro, Annalisa, and Dario Pacciarelli. "Optimal Stock Allocation in Single Echelon Inventory Systems Subject to a Service Constraint." In Uncertainty Management in Simulation-Optimization of Complex Systems. Springer US, 2015. http://dx.doi.org/10.1007/978-1-4899-7547-8_11.

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Wu, Cheng-feng, and Qiu-hong Zhao. "Optimal Ordering Policies with Time-Varying and Inventory-Dependent Demand Under Trade Credit Financing." In Proceedings of the 6th International Asia Conference on Industrial Engineering and Management Innovation. Atlantis Press, 2015. http://dx.doi.org/10.2991/978-94-6239-148-2_42.

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Govindasamy, C., and A. Antonidoss. "Effect of Hybrid Multi-Verse with Whale Optimization Algorithm on Optimal Inventory Management in Block Chain Technology with Cloud." In Innovations in Computer Science and Engineering. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4543-0_52.

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Тези доповідей конференцій з теми "Optimal inventory management"

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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Ying-jun, Li, and Chen Zhi-xiang. "Optimal integrated production-inventory system for defective items." In 2013 International Conference on Management Science and Engineering (ICMSE). IEEE, 2013. http://dx.doi.org/10.1109/icmse.2013.6586348.

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Gunter, Kenneth L., and John W. Sutherland. "Analytical Models for Economic Demanufacturing Inventory Management." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-61446.

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For value recovery activities to be successful in the U.S., the components recovered through demanufacturing operations must be sold at a profit. One of the most important challenges faced by demanufacturing facilities is the management of inventory, which can significantly impact company profitability. In order to achieve profitability, demanufacturers require tools to effectively manage recovered component inventories and scrap/recyclate. In this paper, analytical models are developed to predict the optimal selling quantity and selling period for recovered parts and scrap/recyclate in a demanufacturing system. In addition, total system profit is examined, including break-even conditions.

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Han, Xia, and Wen-fang Shang. "Optimal inventory policy with limited storage capacity and uncertain demand." In 2008 International Conference on Management Science and Engineering (ICMSE). IEEE, 2008. http://dx.doi.org/10.1109/icmse.2008.4668960.

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You-jun, Zhou, Cao Liang, and Pan Yi-qian. "The optimal inventory model with many orders and permissible shortage." In 2011 International Conference on Management Science and Engineering (ICMSE). IEEE, 2011. http://dx.doi.org/10.1109/icmse.2011.6069964.

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Ignaciuk, P., and A. Bartoszewicz. "LQ optimal and time-varying sliding modes for inventory management systems." In 2009 IEEE International Conference on Control Applications (CCA). IEEE, 2009. http://dx.doi.org/10.1109/cca.2009.5281104.

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Siek, Michael, and Kevin Guswanto. "Developing Accurate Predictive Model Using Computational Intelligence for Optimal Inventory Management." In 2021 13th International Conference on Information & Communication Technology and System (ICTS). IEEE, 2021. http://dx.doi.org/10.1109/icts52701.2021.9608492.

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Tai, Allen H. "Optimal replenishment policy for inventory systems with an unreliable supplier." In 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2017. http://dx.doi.org/10.1109/ieem.2017.8290121.

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Asl, Farshid Maghami, and A. Galip Ulsoy. "Capacity Management in Reconfigurable Manufacturing Systems With Stochastic Market Demand." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-32872.

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An optimal solution, based on Markov Decision Theory, is presented for the capacity management problem in Reconfigurable Manufacturing Systems with stochastic market demand with a time delay between the time capacity change is ordered and the time it is delivered. The optimal policy in this paper is presented as optimal boundaries representing the optimal capacity expansion and reduction levels. The effects of change in the cost function parameters and the delay time on the optimal boundaries are presented for a capacity management scenario. The major differences between this research and the ones in inventory control lie in two folds. One is the fact that unlike inventory, capacity levels can be reduced according to the market demand. The other one is the novel approach presented in this paper to solve the delay problem which unlike the inventory control does not account for the cumulative unmet demand as a decision factor.

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Zhang, Jie, and Baozhuang Niu. "Optimal pricing and inventory policy with delayed payments and order cancelations." In 2013 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2013. http://dx.doi.org/10.1109/ieem.2013.6962384.

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