Journal articles: 'Inventory Control Strategies'

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Chalotra, Vipul, and Neetu Andotra. "Inventory Management Strategies And Control Techniqies: An Empirical Investigation Of Small Scale Industries." Indian Journal of Applied Research 1, no. 5 (2011): 28–30. http://dx.doi.org/10.15373/2249555x/feb2012/12.

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Fathy, Abdelaziz, Aya M. Mostafa, and Sayed AbdelGaber. "Comprehensive study for the inventory control management strategies." المجلة العلمية للبحوث والدراسات التجارية 38, no. 2 (2024): 1725–50. http://dx.doi.org/10.21608/sjrbs.2024.265791.1613.

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Lu, Qing, Jin Zhong Lin, and Qi Hui Liu. "Research on the University Inventory Control of Diet Low Maintenance Materials." Advanced Materials Research 250-253 (May 2011): 3715–18. http://dx.doi.org/10.4028/www.scientific.net/amr.250-253.3715.

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The current management situation of the diet low-cost materials inventory in the university is analyzed in this paper and two solutions are given: ABC inventory analysis method and inventory control strategies. The calculation method of the ABC inventory analysis method is introduced through the management data of the low-cost materials inventory in some university, and the different control strategies are also explained according to different raw materials in the inventory control strategies. The order place and the calculation method of order quantity are given under the condition of determining the demand and lead time, and under the condition of uncertain of the demand and lead time, that provide a theoretical basis for the inventory control management.

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Chen, Frank Y., S. H. Hum, and Cheryl H. Sim. "On inventory strategies of online retailers." Journal of Systems Science and Systems Engineering 14, no. 1 (2005): 52–72. http://dx.doi.org/10.1007/s11518-006-0181-z.

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Jekey, Lekue, and Smart Noel Nzor. "INVENTORY CONTROL STRATEGIES AND SUPPLY CHAIN VIABILITY OF DOWNSTREAM PETROLEUM INDUSTRY IN RIVERS STATE." GPH-International Journal of Business Management 07, no. 05 (2024): 72–81. https://doi.org/10.5281/zenodo.12582642.

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The purpose of this study was to investigate the link existing between inventory control strategies and supply chain viabilityusing downstream petroleum firms in Rivers State,Nigeria. This study adopted cross-sectional survey design. Questionnaires was the key instrument for data generation. The respondents were 134downstream petroleum staff in Rivers State. The study adoptedcensus since the population was not large, thus there was no need of sampling. Cronbach’s alpha test was adoptedto test the reliabilityof the instrument. The Pearson Moment Product Correlation Coefficient was used to test postulated hypotheses. The studyfinds out that,inventory control strategies significantly improve supply chain resilience and sustainable supply chain of downstream petroleum firms. Thus,by implementing inventory control strategies, thesefirms will improve their supply chain resilience and sustainable supply chain, and in turnthe attainable of their goal(s). It was recommended that, downstream petroleum firms should implement full inventory control strategies for effective and strong supply chain resilience and sustainable supply chain. Downstream petroleum firms should conduct regular assessment of their inventory control strategies in order to be updated with current realities for better supply chain resilience and sustainable supply chain.

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Yang, Yi, Youhua (Frank) Chen, and Yun Zhou. "Coordinating Inventory Control and Pricing Strategies Under Batch Ordering." Operations Research 62, no. 1 (2014): 25–37. http://dx.doi.org/10.1287/opre.2013.1238.

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Chen, Xin, Zhan Pang, and Limeng Pan. "Coordinating Inventory Control and Pricing Strategies for Perishable Products." Operations Research 62, no. 2 (2014): 284–300. http://dx.doi.org/10.1287/opre.2014.1261.

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Pepelyaeva, T. V., L. B. Vovk, and I. Yu Demchenko. "Optimal Strategies for the Multi-Task Inventory Control Model." Cybernetics and Systems Analysis 52, no. 1 (2016): 107–12. http://dx.doi.org/10.1007/s10559-016-9805-6.

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Johnson, Fashaya, and Thanasak Ruankaew. "A Study of Inventory Control Systems by Jamaican SMEs in Retail and Manufacturing/Distribution Industries." International Journal of Business and Management 12, no. 8 (2017): 1. http://dx.doi.org/10.5539/ijbm.v12n8p1.

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It is widely accepted that firms can achieve effective inventory management with the right strategies. This study analyzed the inventory control strategies of small to medium-sized enterprises (SMEs) in Jamaica. The objectives of the study were to identify whether these companies used the “best practices” in inventory control, the effects of their strategies on business performance, and the factors that affected the development of their strategies. The study employed a methods triangulation approach that included case studies, interviews, questionnaires, and observation with a focus on twelve inventory-intensive SMEs in retail and manufacturing/distribution industries. The SMEs were found to use common inventory control strategies such as stock counts, Enterprise Resource Planning (ERP) systems, forecasting, and inventory classification.The findings of this study support institutional theory and isomorphism because it was discovered that due to external influences, firms studied within the same industry adopted similar strategies, and even in different industries, the ‘best practices’ in inventory control were the same. The drivers of this isomorphic organizational behavior were found to be costs, government regulations, and imitation of successful strategies in other companies. The SMEs surveyed were classified as semi-automated due to limited automation and confirmed success in their inventory management. The study validates the existence of institutionalism among SMEs in the retail as well as manufacturing/distribution industries in Jamaica. A broader scope examining larger firms and other industries would further identify isomorphic organizational behavior across the Jamaican business landscape. For future research, an investigation of financial performance and changes and adoption of new inventory control strategies of Jamaican SMEs is recommended to achieve a broad view of inventory management on the financial performance of Jamaican SMEs.

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Tundura, Lilian. "Effect of Inventory Control Strategies on Inventory Record Accuracy in Kenya Power Company, Nakuru." Journal of Investment and Management 5, no. 5 (2016): 82. http://dx.doi.org/10.11648/j.jim.20160505.16.

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Mardianih, Dea, Andy Lasmana, and Ayi Jamaludin Aziz. "Strategies in Preventing Raw Material Inventory Fraud." Jurnal Ilmiah Akuntansi Kesatuan 12, no. 4 (2024): 545–56. http://dx.doi.org/10.37641/jiakes.v12i4.2659.

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This study aims to determine the effect of internal inventory control, accounting information systems, morality and distributive justice on fraud prevention. The population in this study were employees who worked in the warehouse department at PT Yongjin Javasuka Garment. The sampling technique in this study uses a census or total sample technique where each element of the population members is selected into a sample of 50 people. The data collection method was carried out by distributing questionnaires to all samples that had been selected as research respondents. Data analysis was carried out using multiple linear regression analysis techniques. This technique is used to test the research hypothesis that has been formulated, with the aim of knowing the relationship and influence of the independent variable on the dependent variable. JASP software version 0.18.3.0 is used to assist in the data analysis process, because this software provides the statistical tools needed to perform multiple linear regression effectively. The results of this study indicate that internal inventory control and distributive justice partially affect fraud prevention. Meanwhile, the accounting information system and morality have no partial effect on fraud prevention.

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Dendra, Feby Gusti, Elita Amrina, and Ahmad Syafruddin Indrapriyatna. "Inventory Control Model of Beef for Rendang Products." Jurnal Optimasi Sistem Industri 22, no. 1 (2023): 22–30. http://dx.doi.org/10.25077/josi.v22.n1.p22-30.2023.

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The definition and function of inventory management reveal the importance of modern industry in formulating policies that regulate the supply of raw materials, semi-finished products, and finished products. Unfortunately, most companies fail to consider the characteristics of their raw materials when determining inventory strategies. Raw materials that are perishable are those that consider their service life and storage time. Inventory management plays a crucial role in supply chain management, especially for perishable raw materials, such as food products. PT X, a food business in Padang, experienced difficulty in meeting the demand for rendang products due to a lack of raw materials. Therefore, this study aims to develop an inventory management model that takes into account the perishable raw materials' expiration time. The model development consists of three stages: model development design, inventory model formulation, and model testing. The proposed model resulted in a storage time interval of five days and an optimal order quantity of 34 kg of meat with a safety stock of 14 kg. Implementing this model led to lower total inventory costs for PT X than the actual conditions of the company. The total inventory cost obtained using this model is Rp279,797,822. This study emphasizes the importance of considering the characteristics of raw materials in determining inventory strategies to optimize inventory management effectively and efficiently. The study's findings can serve as a reference for other food businesses encountering similar inventory management challenges in the perishable food industry.

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Chen, Xin, and David Simchi-Levi. "Coordinating inventory control and pricing strategies: The continuous review model." Operations Research Letters 34, no. 3 (2006): 323–32. http://dx.doi.org/10.1016/j.orl.2005.04.012.

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Shu, Tong, Qianni Wu, Shou Chen, Shouyang Wang, Kin Keung Lai, and Honglin Yang. "Manufacturers’/remanufacturers’ inventory control strategies with cap-and-trade regulation." Journal of Cleaner Production 159 (August 2017): 11–25. http://dx.doi.org/10.1016/j.jclepro.2017.05.021.

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Eid Bait Bin Saleem, Sumaya Zaki, and Asad Ullah. "The Pros and Cons of Inventory Control Strategies, and How Does it Affect the Company’s Performance." International Journal of Operations Management 3, no. 1 (2023): 7–14. http://dx.doi.org/10.18775/ijom.2757-0509.2020.31.4001.

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Inventory management plays a critical role in every organization’s performance. It is an essential part of any business. Financially, it is the most valid current asset, easily converted to cash. Therefore, every organization must be able to manage its inventory according to its needs and customer’s demand. Furthermore, inventory requires space inside the warehouse and keeping more than the required stock can increase the cost of carrying inventory. Hence it is essential to keep enough stock but not more than needed. Nevertheless, some organizations find it challenging to balance the supply of inventory with their customers or demand. Thus, this research aims at understanding the concept of inventory management and inventory control and identifying the issues faced by the companies in their inventory management by finding the flaws within the strategies or systems used to manage the inventory. This research employs a qualitative data collection method through journal articles, books, and trusted websites to ascertain the objectives.

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Shivam, Kumar Dwivedi 'Hardik', and Mishra Sweetee. "Optimal Strategies for Deteriorating Items in Inventory Control Management & Shortage Backordering." MATHEMATICS EDUCATION LIX, no. 1, March 2025 (2025): 18–39. https://doi.org/10.5281/zenodo.15553225.

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In this paper, we have learn new methods of how to overcome the shortage of perishable and perishable goods in the business through inventory control management. In the current market environment, how to mitigate the impact of the downturn plays a role. In this paper, we look at how inventory control management can be overcome by some principles by modeling the shortage of start-up businesses for perishable goods. Whether it is necessary to stock perishable goods or not so that our storage does not decrease and there is no loss, to conserve the goods. Like price dependent on stable time, demand dependent on sensitive stock and stock of perishable goods due to carbon emissions effect. The carbon emission impacts of perishable goods can be accurately modeled by analyzing the carbon transport associated with storage of carbon.              This study is specifically designed to design and model economic order and quantity. Keeping in view the imperfect quality of goods and different objectives, in which trigger inventory is reordered at a different stage from the end to the end. The model is organized using the last order, starting order, best order and screening method. Following the EOQ order strategy, the seller sells the imperfect products at the end of the cycle at a cost saving. Instead of returning them, the supplier buys the best quality products from the supplier. The study does not cover the period of sale of the imperfect inventory, but improves it and utilizes the positive inventory in a long and timely manner. The proposed research findings and provide it a correct model and critical analysis and we prepare a new model.

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Xue, Shan, Ye Du, and Liang Xu. "Adaptive Market Making with Inventory Constraints via Online Learning." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 20 (2025): 21859–67. https://doi.org/10.1609/aaai.v39i20.35492.

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A market maker is a specialist who provides liquidity by continuously offering bid and ask quotes for a financial asset. The market maker’s objective is to maximize profit while avoiding the accumulation of a large position in the asset to control inventory risk. To achieve model-free results, online learning has been applied to design market-making strategies that make no assumptions on the dynamics of the limit order book and asset price. However, existing work primarily focuses on profit rather than inventory risk. To address this limitation, this paper develops market-making strategies with inventory constraints within the online learning framework. To manage inventory risk, we propose two classes of market-making strategies with fixed bid-ask spreads that serve as reference strategies. Each reference strategy can ensure that the inventory remains under control, which enables the online learning algorithms designed for each class of reference strategies to satisfy inventory constraints. Different from the standard online learning model where the gain in each period is assumed to lie within a fixed bounded interval, the gain in our model depends on a state variable (i.e., the inventory size). Thus, a key challenge in analyzing the regret bounds is to bound the difference between the gains of any two reference strategies, which becomes significantly more complicated compared with scenarios without inventory constraints. By tackling these difficulties, we show that these algorithms achieve low regrets. Experimental results illustrate the superior performance of our algorithms in inventory risk control.

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Ma, Fangfang, Shaochuan Fu, Yuanyuan Zhang, and Benxuan Miao. "Inventory Allocation: Omnichannel Demand Fulfillment with Admission Control." Journal of Theoretical and Applied Electronic Commerce Research 20, no. 2 (2025): 72. https://doi.org/10.3390/jtaer20020072.

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Ensuring the profitability of retailers utilizing in-store inventory for online fulfillment is a pivotal issue in omnichannel retailing. This study examines the inventory allocation challenges faced by retailers when managing interactions between online and offline channels to identify strategies that maximize revenue. The findings enable retailers to address key operational conflicts while implementing omnichannel strategies. We develop an omnichannel newsvendor model, deriving an optimal strategy for retailer inventory level and online acceptance thresholds, demonstrating the economic superiority of this approach over traditional policy. Furthermore, this paper further explores how carry-over inventory influences strategic decisions, particularly in quantifying the trade-off between the cancellation cost and the inventory holding cost. The results reveal that cancellation costs incentivize retailers to increase safety stock and reduce online acceptance thresholds, with strategy sensitivity intensifying as offline demand dispersion grows. Compared to the traditional policy, our policy demonstrates superior performance when the cancellation cost remains below a critical value, though its effectiveness decreases under high offline demand dispersion. Moreover, dynamic strategy adjustments must balance the cancellation cost against the holding cost in the carry-over scenario. The proposed framework systematically integrates inventory allocation with demand admission control, addressing a critical gap in existing literature that has failed to comprehensively link these two operational levers. This dual-focused perspective significantly advances omnichannel inventory management theory.

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Patel, Jay. "Enhancing Inventory Management through Data-Driven Demand Planning Strategies." International Journal of Multidisciplinary Research and Growth Evaluation. 2, no. 4 (2021): 904–6. https://doi.org/10.54660/.ijmrge.2021.2.4.904-906.

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Inventory management and demand planning are critical components of an efficient supply chain. This paper explores the role of data-driven strategies McKinsey & Co. (2020) [2] in improving inventory management and demand planning accuracy. The study examines advanced forecasting models, machine learning techniques, and real-time data integration to enhance decision-making and reduce inventory holding costs. Case studies from leading organizations are presented to highlight successful implementation and measurable performance improvements. The paper also addresses the role of technological innovations and the impact of global supply chain disruptions on inventory management and demand forecasting. Furthermore, it explores how real-time data, automation, and AI-based models enable greater inventory control and responsiveness, leading to improved supply chain agility.

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Zhang, Qing Ying, Ying Chi, Yu Liu, and Qian Shi. "Enterprise Inventory Control Based on Supply Chain Management." Advanced Materials Research 472-475 (February 2012): 3273–76. http://dx.doi.org/10.4028/www.scientific.net/amr.472-475.3273.

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The main target of supply chain management is to control inventory of each node enterprise effectively with the minimum cost. In this paper, the control strategies and methods of inventory based on supply chain management are put forward, which are significant for saving the cost of supply chain and improving the overall benefits of the whole chain.

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Bonilla-Enriquez, Gladys, Patricia Cano-Olivos, Li-Qun Peng, Weihua Gan, Jose-Luis Martinez-Flores, and Diana Sanchez-Partida. "Modelling Sustainable Development Aspects within Inventory Supply Strategies." Modelling and Simulation in Engineering 2021 (March 17, 2021): 1–11. http://dx.doi.org/10.1155/2021/5232814.

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Nowadays, inventory management is a tool that must be extended to cover all aspects of the supply chain (SC). One of these aspects is Sustainable Development (SD) which emphasizes the balance between economic well-being, natural resources, and society. As inventory involves the use of natural and economic resources, the integration of SD criteria is important for a more efficient and sustainable SC. In this work, the most important SD variables associated with inventory management were identified. These variables were integrated as cost elements within a nondeterministic inventory control model to include SD criteria within inventory supply strategies. Through the assessment of the proposed integrated model, it was determined that, although SD practices involve additional investments, specific practices such as reuse/recycling and government incentives can increase revenue and profits. This is important for the development of government and business strategies to perform sustainable practices.

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Bauso, Dario, Franco Blanchini, and Raffaele Pesenti. "ROBUST CONTROL STRATEGIES FOR MULTI—INVENTORY SYSTEMS WITH AVERAGE FLOW CONSTRAINTS." IFAC Proceedings Volumes 39, no. 5 (2006): 77–82. http://dx.doi.org/10.3182/20060607-3-it-3902.00017.

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Tetteh, A., Q. Xu, and Z. Liu. "Inventory Control by Using Speculative Strategies in Dual Channel Supply Chain." Journal of Applied Research and Technology 12, no. 2 (2014): 296–314. http://dx.doi.org/10.1016/s1665-6423(14)72346-6.

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Bauso, Dario, Franco Blanchini, and Raffaele Pesenti. "Robust control strategies for multi–inventory systems with average flow constraints." Automatica 42, no. 8 (2006): 1255–66. http://dx.doi.org/10.1016/j.automatica.2005.12.006.

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G R, Hruthik, and Megha K. Murthy. "An Analysis on Inventory Management and its Control at Sri Chamundeswari Sugars Limited, Shrinivasapura, Hassan." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–9. https://doi.org/10.55041/ijsrem40189.

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The project report was carried on at Sri chamundeshawari sugar limited, on the topic “The study on analysis of inventory management and its control at Sri chamundeswari sugars limited’’ Effective inventory management and control are crucial for the success of any manufacturing organization, including sugar factories. This study investigates the current inventory management practices and control at SCSL, with the aim of identifying areas of improvement and optimizing inventory levels. The project based on the both qualitative and quantitative data collection and analysis method. in this study use for statistical tool of chi-square testing and hypothisis testing. The study reveals that the factory faces challenges in managing its inventory, including overstocking, stockout, and inefficient storage practices. The research identifies the root causes of these issues and proposes a framework for improving inventory management and control, including the implementation of just-in-time (JIT) inventory system, regular stock audits, and staff training. The study concludes that by implementing these recommendations, the sugar factory can reduce inventory costs, improve efficiency, and enhance overall performance. The research mainly focused on the inventory involved that the firm need to be faced while maintain stock and have to frame the strategies and methods to reduce the inventory, The managers its inventory in appropriate manner can be found as there is no much loss to the firm because of stock. Firm has a well-planned mechanism and strategies for managing the inventory. KEYWORDS : Inventory Management ,Inventory Control ,Stock Management Inventory Turnover, Economic Order Quantity (EOQ),Just-In-Time (JIT) Warehouse Management, Supply Chain Efficiency, Material Handling

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Takeda Berger, Satie Ledoux, Guilherme Luz Tortorella, and Enzo Morosini Frazzon. "Simulation-based analysis of inventory strategies in lean supply chains." IFAC-PapersOnLine 51, no. 11 (2018): 1453–58. http://dx.doi.org/10.1016/j.ifacol.2018.08.310.

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Xu, Chunming, Xiaojie Liu, Chenchen Wu, and Baiyun Yuan. "Optimal Inventory Control Strategies for Deteriorating Items with a General Time-Varying Demand under Carbon Emission Regulations." Energies 13, no. 4 (2020): 999. http://dx.doi.org/10.3390/en13040999.

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Climate warming nowadays has caused people to increasingly enhance public awareness about carbon emissions from industries. In the storing industry, inventory management for deteriorating items is crucial in the business competition. To slow down the deterioration and ensure the quality of products, the items are usually stored in certain temperature-controlled environment. However, a lot of carbon emissions of the inventory system are caused by these warehousing activities. In a finite panning period, this paper studies a continuous review inventory system and proposes inventory models to analyze the impacts of carbon emissions on inventory system for deteriorating items with a general time-varying demand, in which shortages are allowed, and the customer demand during shortage period is partially backlogged till the next replenishment. Under carbon emission regulations, the existence and uniqueness of the optimal solution to each model is explored and comparisons of optimality among the proposed models are given. Numerical examples and robust analysis of the models are presented to illustrate the applicability in practice. Some management insights about inventory policies and emission reduction strategies are obtained.

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Pang, Dong. "Research on Process Control Strategy of Asphalt Tank Inventory Based on Dynamic Programming Algorithm in Post Epidemic Era." Journal of Physics: Conference Series 2258, no. 1 (2022): 012076. http://dx.doi.org/10.1088/1742-6596/2258/1/012076.

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Abstract Based on the background of post epidemic era, starting with the traditional industrial inventory process control, this paper discusses the dynamic inventory process control strategy under the asphalt tank inventory mode, and analyzes the intelligent inventory mode under the trend of intelligent logistics through the dynamic programming method, so as to provide reference for the development direction of intelligent inventory of unconventional storage materials such as chemical industry and energy. At the same time, with the recurrence of short-term epidemic and the dilemma of low return to work and production rate, through the integration and interconnection of mobile communication, intelligent analysis, digital management and other technologies with all links, the strategies of inventory dynamic control, inventory risk control, improving inventory efficiency and optimizing inventory cost are put forward.

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Dato-on, Dutchque Van E. "Purchasing and control strategies Economic order quantities of oligopolistic medium-scale enterprises." University of the Visayas - Journal of Research 7, no. 1 (2013): 117–32. https://doi.org/10.5281/zenodo.1678347.

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Medium-scale enterprises have developed overtime and have performed a critical role in driving a country’s industrial transformation in most developed countries. A hardware establishment is a superb example of medium-scale endeavor. In the Philippines, particularly in Cebu City, the identified economic potentials of medium-scale enterprises slowly relegated due to challenges and constraints of a highly competitive oligopolistic market, product and demand variability including variances in purchasing strategies and internal control systems of most industries. One representation is Alliance Hardware, Inc. which desires to attain a 100% service level but the management has no idea as to the cost implications of the possible actions that they will take. This study intends to develop an appropriate inventory system so as to increase the company’s service level that will specifically cater to their needs as well as the needs of their customers. The research looks into establishing a standard reorder point and order quantity that will help the medium-scale hardware enterprises minimize inventory costs while minimizing or eliminating the presence of stock outs. Specifically, the study aims to optimize the service level using inventory management principles taking into account the company’s purchasing and internal control strategies in an oligopolistic environment. I analyzed all the data gathered and interpreted using industrial, operations and project management tools. Also, concepts such as reorder point, economic order quantity, safety stocks and service level were used. The computed standard reorder point and economic order quantity served as the basis for comparison in determining whether there is an improvement in the actual service level of Alliance Hardware, Inc. which serves as a good representation of a medium-scale venture. Finally, I then formulated solutions and alternatives that would help the company improve their inventory operations, thus, an increase in their level of customer service. Using the standard economic order quantity and reorder point that I have computed based on the data gathered would imply yearly savings of Php 838,355.10 for the company which is an enormous cutback on expenses especially for medium-scale enterprises in general.

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K, Mr Sarath. "A Study on Inventory Management Strategies for Medical Equipment Suppliers." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem44920.

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Inventory management is a vital component for the success of medical equipment suppliers, as it ensures that essential products are available exactly when they are needed, especially in critical healthcare situations, while also helping companies avoid the financial burden of holding too much stock. The healthcare industry presents unique challenges compared to other sectors, such as the need for high levels of accuracy, dependability, timely delivery, and strict adherence to safety and regulatory standards. These factors make inventory management more complex and demanding. This study explores how suppliers of medical equipment implement various inventory management strategies to strike a balance between efficiency and safety. It focuses on how these strategies contribute to improving operational workflows, increasing customer satisfaction, and boosting overall profitability. The research also dives into the specific inventory practices that are currently in use, highlights the common obstacles suppliers face such as overstocking, under stocking, and product expiration and provides recommendations to overcome these challenges. By offering a detailed understanding of inventory processes in this highly specialized and essential industry, the study contributes valuable insights that can help medical equipment suppliers refine their inventory management approaches for better outcomes in both service quality and business performance. KEYWORDS: inventory management, medical equipment suppliers, healthcare logistics, operational efficiency, customer satisfaction, supply chain, stock control, safety standards, profitability, inventory strategies, demand forecasting, regulatory compliance, inventory optimization, healthcare industry.

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AL-Khazraji, Huthaifa, Colin Cole, and William Guo. "Analysing the impact of different classical controller strategies on the dynamics performance of production-inventory systems using state space approach." Journal of Modelling in Management 13, no. 1 (2018): 211–35. http://dx.doi.org/10.1108/jm2-08-2016-0071.

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Purpose The purpose of this paper is to examine the impact of applying two classical controller strategies, including two proportional (P) controllers with two feedback loops and one proportional–integral–derivative (PID) controller with one feedback loop, on the order and inventory performance within a production-inventory control system. Design/methodology/approach The simulation experiments of the dynamics behaviour of the production-inventory control system are conducted using a model based on control theory techniques. The Laplace transformation of an Order–Up–To (OUT) model is obtained using a state-space approach, and then the state-space representation is used to design and simulate a controlled model. The simulations of each model with two control configurations are tested by subjecting the system to a random retail sales pattern. The performance of inventory level is quantified by using the Integral of Absolute Error (IAE), whereas the bullwhip effect is measured by using the Variance ratio (Var). Findings The simulation results show that one PID controller with one feedback loop outperforms two P controllers with two feedback loops at reducing the bullwhip effect and regulating the inventory level. Originality/value The production-inventory control system is broken down into three components, namely: the forecasting mechanism, controller strategy and production-inventory process. A state-space approach is adopted to design and simulate the different controller strategy.

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Sedhuraman., Mr. "A Study on Inventory Management with Reference to MS Charan Windows Private Limited." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem45964.

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ABSTRACT In the manufacturing sector, effective inventory management plays a crucial role in maintaining cost control and ensuring smooth operational efficiency. This research centers around MS Charan Windows Private Limited, a company that specializes in producing custom window solutions, and explores the inventory management practices it adopts to stay competitive in a rapidly evolving market. As customer demands fluctuate and competition intensifies, it becomes increasingly important for manufacturers like MS Charan Windows to implement robust inventory strategies that prevent stock outs, reduce excess inventory, and lower overall holding costs. The study aims to delve into the specific methods, technologies, and systems the company uses to monitor, control, and optimize its inventory levels throughout the production process. By maintaining the right balance between supply and demand, MS Charan Windows can not only streamline its operations but also enhance its profitability and ensure timely order fulfillment, leading to greater customer satisfaction. The research highlights the direct link between efficient inventory planning and a company’s success in terms of both financial performance and service quality. Key concepts examined in this study include stock control, supply chain coordination, cost minimization, production optimization, and overall operational efficiency. KEYWORDS: inventory management, manufacturing industry, custom window solutions, stock control, supply chain, operational efficiency, cost reduction, inventory optimization, production flow, inventory planning, holding costs, profitability, customer satisfaction, inventory strategies, manufacturing operations.

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Dobos, Imre. "Production-inventory strategies for a linear reverse logistics system." Pure Mathematics and Applications 30, no. 3 (2022): 120–47. http://dx.doi.org/10.2478/puma-2022-0030.

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Abstract The paper investigates an one-product reverse logistics system. The aim is to analyze the functioning of such a system with continuous time and linear cost structure. The costs consist of linear holding costs for both warehouse, and the linear remanufacturing, manufacturing, and disposal costs. The demand and return rates are known deterministic parameters. The problem is solved with the Pontyagin’s maximum principle. Solving the control problem, it is corrected an earlier paper [1].

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Ramirez, Stefanny, and Dario Bauso. "Dynamic Coordination Games with Activation Costs." Dynamic Games and Applications 11, no. 3 (2021): 580–96. http://dx.doi.org/10.1007/s13235-020-00375-8.

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AbstractMotivated by inventory control problems with set-up costs, we consider a coordination game where each player’s dynamics is an inventory model characterized by a controlled input and an uncontrolled output. An activation cost is shared among active players, namely players who control their dynamics at a given time. At each time, each player decides to be active or not depending on its inventory level. The main contribution of this paper is to show that strategies at a Nash equilibrium have a threshold structure on the number of active players. Furthermore, we provide an explicit expression for the lower and upper threshold is given both in the deterministic case, namely when the exogenous signal is known, and in the single-stage game. The relevance of the above results is discussed in the context of inventory control where Nash equilibrium reordering strategies imply that a single retailer reorders only if jointly with a number of other retailers and will reorder to restore a pre-assigned inventory level.

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White, Anthony S., and Michael Censlive. "The Effects of Modelling Strategies on Responses of Inventory Models." International Journal of Applied Industrial Engineering 4, no. 1 (2017): 19–43. http://dx.doi.org/10.4018/ijaie.2017010102.

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This paper describes methods to model inventories from the APVIOBPCS family. It aims to examine the limits of modelling approaches within control-theoretic models using the Simulink package. Discrete and continuous time models were considered together with a finite pipeline delay and the Forrester exponential delay, in continuous and sampled data representation. The main effect of using a finite delay is to deepen the stock-out and increase the required order rate compared with the same response observed with an exponential form delay. Total time for recovery is similar with all models. The discrete performances are close to the continuous representation for a smaller review period. Results presented here illustrate that the various forms of control-theoretic models present similar step response results irrespective of simulation technique used provided they have the same delay type. However, the gains required for minimum cost are substantially different for each delay form and modelling technique used.

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Lydiah, Ngaya Mutinda, and Samson Nyang`au Paul Dr. "Role of Inventory Management Strategies on Procurement Performance in State Corporations in Kenya." American Based Research Journal 7, no. 5 (2018): 39–51. https://doi.org/10.5281/zenodo.3455934.

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The main purpose of the paper was to determine the role of inventory management strategy in procurement performance at National Hospital Insurance Fund. The research design used in this study was descriptive in nature which adopted qualitative and quantitative research strategies in order to find the solution to the study problem. The target population was 181 employees. The sample of respondents was determined using stratified sampling which relied on mere chance to determine who would be selected in the sample and called for random selection in the inclusion of the cases into the sample.  A sample size of 123 respondents out of a total frame of 181 target population was interviewed. The research focused on primary data that was collected from questionnaires distributed to the target groups. This study collected both qualitative and quantitative data. After data collection, the data was edited and coded in readiness for analysis by the researcher. The qualitative data collected were subjected to content analysis. On the other hand, the researcher used descriptive and inferential statistics to analyze the quantitative data. SPSS version 23 software was used to perform correlation and regression analysis on the collected data. The analyzed data was presented using statistical and graphical techniques. The findings revealed that inventory control and inventory accountability had a positive effect on procurement performance. Thus, the disclosure of inventory documents when needed sends the message that the organization is accountable hence they can be relied on to conduct business with. It is therefore crucial that suppliers need to make a commitment to stock an inventory of approved stock and have a timely response to customer references and proper material handling. Finally, there is a need for organizations to have verification of documents in the process of receiving and issuing inventory

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Kakade, Saurabh Laxman. "Inventory Management in Pharmaceutical Industry." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem30239.

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This research paper explores the intricacies of managing inventories of medicines in the pharmaceutical industry, focusing on meeting the healthcare needs of both humans and animals. Through a comprehensive review of existing literature and analysis of real-world case studies, this paper identifies key challenges, strategies, and best practices associated with pharmaceutical inventory management. The literature review reveals the complexities of inventory management in the pharmaceutical sector, including demand variability, regulatory compliance, and the need for precise temperature control for perishable medicines. Strategies such as economic order quantity (EOQ) and just-in-time (JIT) inventory management are discussed for managing normal inventories, while specialized approaches like cold chain management are highlighted for managing perishable inventories. Technological innovations, such as RFID technology and predictive analytics, are recognized for their potential to enhance inventory visibility and mitigate supply chain risks. Case studies provide valuable insights into successful inventory management practices within the pharmaceutical industry. Examples demonstrate the importance of collaboration among stakeholders, investment in advanced inventory management systems, and adherence to regulatory compliance measures. Furthermore, case studies underscore the significance of maintaining optimal inventory levels, minimizing stockouts, and ensuring medication safety and efficacy. This research paper contributes to the ongoing discourse on pharmaceutical supply chain optimization, patient-centric care delivery, and the pursuit of sustainable healthcare solutions. By synthesizing insights from literature and real-world examples, stakeholders can develop strategies to address challenges, enhance inventory management practices, and improve patient outcomes in the pharmaceutical industry. KEYWORDS Pharmaceutical Inventory Management, Medicine Inventory Control, Perishable Inventory, Normal Inventory, Supply Chain Optimization, Regulatory Compliance, Demand Variability, Cold Chain Management, RFID Technology, Patient Safety, Supply Chain Efficiency, Case Study Analysis, Healthcare Logistics, Sustainable Healthcare Solutions.

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Zhang, Yingying, Yi Chai, and Le Ma. "Research on Multi-Echelon Inventory Optimization for Fresh Products in Supply Chains." Sustainability 13, no. 11 (2021): 6309. http://dx.doi.org/10.3390/su13116309.

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Fresh products are perishable and fragile, which easily leads to higher inventory costs and requires reasonable planning of inventory management. Therefore, it is very important for fresh product supply chain systems to have multi-echelon inventory control. However, in past studies, few control models of the multi-echelon inventory considered the deterioration rate of perishable products as the variable factor. In this paper, on the basis of considering the perishable characteristics of fresh products, combining the deterioration rate with the inventory control model, a multi-echelon inventory control model for fresh products is designed and optimized, and the optimal solution from the whole supply chain is obtained through the optimal fitness function by genetic algorithm. Finally, Flexsim is used to simulate the two inventory strategies before and after optimization. After simulation comparison and analysis, it is verified that the optimized inventory control strategy has lower costs. The research results can help supply chain managers of fresh products to make inventory management decisions and save costs, which is of practical significance.

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Yuan, Yan Li, and Tian Min Guan. "Research on Dull Materials Control of Manufacturing Enterprises." Advanced Materials Research 443-444 (January 2012): 784–87. http://dx.doi.org/10.4028/www.scientific.net/amr.443-444.784.

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In-process inventory can ensure smooth production process, while it may produce dull materials. The objective of this paper is to propose appropriate control strategies of dull materials. At first, dull materials were classified, handling methods were given based on their characteristics, and then the main reasons of dull materials were analyzed. These control strategies can help companies to reduce slack in materials.

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Jadhav, Pragati, and Maheshwar Jaybhaye. "A Manufacturing Industry Case Study: ABC and HML Analysis for Inventory Management." International Journal of Research in Engineering, Science and Management 3, no. 9 (2020): 146–49. http://dx.doi.org/10.47607/ijresm.2020.315.

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This article is a contextual analysis of ABC and HML examination of inventory control methods for an effective Inventory administration framework in the assembling business of India. The organization needs to control its inventory expense, so it utilized various kinds of inventory methods to control this. There are various strategies, for example, ABC, HML, VED, XYZ and S-O-S. In the ABC analysis, things are classifications in classifications A, B, C as per the utilization of the all-out expense. In the HML analysis, things are classifications in H, M, L classification as per the unit cost. Information assortment is chiefly a year through the head supervisor of the store and other work force associated with the Inventory control activity of the assembling business.

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Sydney White, Anthony, and Michael Censlive. "Observations on modelling strategies for vendor‐managed inventory." Journal of Manufacturing Technology Management 17, no. 4 (2006): 496–512. http://dx.doi.org/10.1108/17410380610662915.

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Ben-faress, Mouad*1 Grettet Driss2 &. Elouadi Abdelmajid3. "GLOBAL SUPPLY CHAIN NETWORK: INTERMITTENT DEMAND, COLLABORATION MODEL AND INVENTORY CONTROL." International Journal OF Engineering Sciences &Management Research 5, no. 4 (2018): 12–33. https://doi.org/10.5281/zenodo.1215532.

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A fundamental aspect of supply chain management in many industries especially for automotive sector,  is The inventory control of the products which have intermittent customer demand, it isessential for many organizations since its complexity makes it difficult to evaluateoverall performance, from customer demand to delivery and order fulfillment, Our research will contribute to the overall improvement of logistics flexibility by evaluating the effects of accurate forecasting on inventory control and performance improvement.   This paper discusses the various aspects of several researchers over slow moving inventory. Slow moving item constitute a large volume of firm items. The decision over the liquidation of some quantity of an on-hand stock slow moving items is an unpredictable one. Due to over stock situation, managing the slow moving or obsolescent items is the main problem for several industries.   The inventory control of the products which have intermittent demand is essential to many organizations, since excess inventory leads to high holding costs and stockout can have a great impact on operations performance. The difficulty in assessing good strategies for the management of these items lies in their specific nature. Since intermittent demands are highly stochastic and have a large percentage of zero values, the estimation of the lead time demand distribution is particularly intricate.   As part of a systematic approach we will start our research by a state of art to have an overview about the current studies on intermittent customer demand and inventory control especially for slow movers, phase in/out items, spare parts in order to evaluate the impact on the overall global supply chain of the company XYZ and its entire performance. Then a modified Markov chain model (MMCM) has been proposedfor modeling and estimating intermittent demand data, motivated by a case study ( customer random behavior, slow mover and spare part control…).   The performance of Markov model and the other stochastic models have been compared by accuracy, Measures to show their effectiveness for more forecasting accuracy, customer fulfillment and inventory control of the products. The various strategies involving in the slow moving inventory like optimal level, forecasting and obsolescence are discussed. Further research on the slow moving inventory areas are suggested in this pape

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Díaz Lara, Mirian Isela, and Manyet Jimena Pusma Huachez. "Logistics optimization and inventory control in Peruvian grocery companies." Sapienza: International Journal of Interdisciplinary Studies 5, no. 3 (2024): e24061. http://dx.doi.org/10.51798/sijis.v5i3.788.

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The company being analyzed, which specializes in selling groceries, faces significant challenges in its logistics management. Lack of supply chain visibility prevents informed inventory decisions, resulting in product overages or shortages. Supply chain delays affect profitability, and inaccurate demand planning generates additional costs and financial losses. This study, which is relevant to the Sustainable Development Goals, mainly in combating poverty through the economic success of SMEs, evaluates the effectiveness of logistics management in inventory control. The results show an increase in ending inventory by 105.12% and a decrease in inventory turnover by 29.29%, suggesting a strategic accumulation of stock. In addition, an improvement in the company's liquidity was observed, with an increase in total current assets by 107.66% and a financial restructuring oriented towards expansion projects. These findings underscore efficient logistics management's importance in optimizing resources and improving customer satisfaction. Future research should focus on the integration of advanced technologies and the implementation of sustainable financing strategies to further improve operational efficiency and profitability.

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Fatika Rahma Fina, Ivananur Alvira Wahono, and Irda Ayu Agustin. "Peran Audit Internal Dalam Meningkatkan Efektivitas Sistem Pengendalian Internal Persediaan (CV. SUMBER BERKAH)." Nian Tana Sikka : Jurnal ilmiah Mahasiswa 2, no. 1 (2023): 126–34. http://dx.doi.org/10.59603/niantanasikka.v2i1.278.

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This research is motivated by the objective to investigate the role of internal audit in enhancing the effectiveness of the internal control system for inventory. Efficient and effective inventory management is crucial in the healthcare environment to ensure the availability of medical supplies, proper resource utilization, and cost control. The study employs a qualitative approach, collecting data through interviews with internal auditors, inventory managers, and relevant staff. Data analysis focuses on evaluating the existing internal control system, the internal audit strategies applied, and their impact on management effectiveness.

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Bányai, Ágota. "OPTIMISATION OF PURCHASING STRATEGY OF TOOLS AND COMPONENTS BASED ON EXCHANGE CURVE THEORY." Cutting & Tools in Technological System, no. 96 (March 2, 2022): 3–13. http://dx.doi.org/10.20998/2078-7405.2022.96.01.

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The optimal inventory control of tools and components in manufacturing systems plays an important role in the success of sustainable operation from financial and ecologic point of view. This study discusses an inventory control method, which is based on the transformation of investment of inventory into annual order cost or vice versa. The study presents the mathematical model of the exchange curve model for tools and components in the case of economic order quantity inventory strategy. The described methodology makes it possible to optimise available purchasing strategies for tools and components. The approach was tested with a scenario analysis, where different parameters of the purchasing process including inventory related constraints were taken into consideration. The computational results validated the exchange curve based inventory control methodology and showed that the inventory strategy can be improved with cost transformation Practical implications of the proposed model and method regard the possibility of finding optimal inventory policies that can affect the operation costs of manufacturing systems.

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Chen, Xin, and David Simchi-Levi. "Coordinating Inventory Control and Pricing Strategies with Random Demand and Fixed Ordering Cost." Manufacturing & Service Operations Management 5, no. 1 (2003): 59–62. http://dx.doi.org/10.1287/msom.5.1.59.12763.

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AL-Khazraji, Huthaifa, Colin Cole, and William Guo. "Dynamics analysis of a production-inventory control system with two pipelines feedback." Kybernetes 46, no. 10 (2017): 1632–53. http://dx.doi.org/10.1108/k-04-2017-0122.

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Purpose The purpose of this study is to propose a new dynamic model of a production-inventory control system. The objective of the new model is to maximise the flexibility of the system so that it can be used by decision makers to design inventory systems that adopt various strategies that provide a balance between reducing the bullwhip effect and improving the responsiveness of inventory performance. Design/methodology/approach The proposed production-inventory control system is modelled and analysed via control theory and simulations. The production-inventory feedback control system is modelled through continuous time differential equations. The simulation experiments design is conducted by using the state-space model of the system. The Automatic Pipeline Inventory and Order-Based Production Control System (APIOBPCS) model is used as a benchmark production-inventory control system. Findings The results showed that the Two Automatic Pipelines, Inventory and Order-Based Production Control System (2APIOBPCS) model outperforms APIOBPCS in terms of reducing the bullwhip effect. However, the 2APIOBPCS model has a negative impact on Customer Service Level. Therefore, with careful parameter setting, it is possible to design control decisions to be suitably responsive while generating smooth order patterns and obtain the best trade-off of the two objectives. Research limitations/implications This research is limited to the dynamics of single-echelon production-inventory control systems with zero desired inventory level. Originality/value This present model is an extension and improvement to Towill’s (1982) and John et al.’s (1994) work, since it presents a new dynamic model of a production-inventory control system which utilises an additional flow of information to improve the efficiency of order rate decisions.

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Purdon, Christine, and David A. Clark. "Perceived Control and Appraisal of Obsessional Intrusive Thoughts: A Replication and Extension." Behavioural and Cognitive Psychotherapy 22, no. 4 (1994): 269–85. http://dx.doi.org/10.1017/s1352465800013163.

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The present study had two purposes: 1) to examine the relationship between tendency to experience obsessional intrusive thoughts and tendency to worry; 2) to replicate and extend earlier findings (Purdon and Clark, 1993, 1994) on appraisal and thought suppression strategies in the persistence and control of obsessional intrusive thoughts. A sample of 160 college students were administered the Revised Obsessional Intrusions Inventory (ROII), the Penn State Worry Questionnaire (PSWQ), the Beck Depression Inventory (BDI), and the White Bear Suppression Inventory (WBSI). The ROII total score had minimal association with worry, trait thought suppression, or depressive symptoms, thereby supporting the distinctiveness of obsessional intrusive thoughts. Hierarchical multiple regression analyses revealed that cognitive appraisal, especially worries that the intrusion might come true in real life, accounted for a significant amount of variance in thought frequency and controllability. Thought suppression strategies accounted for substantially less variance in both frequency and control of intrusive thoughts. The results are discussed in terms of their support for Rachman's (1993) and Salkovskis' (1985, 1989) theories regarding the role of personal responsibility in the persistence of obsession-like intrusive thoughts.

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Keller, Colleen. "Psychological and Physical Variables as Predictors of Coping Strategies." Perceptual and Motor Skills 67, no. 1 (1988): 95–100. http://dx.doi.org/10.2466/pms.1988.67.1.95.

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26 women and 17 men between the ages of 26 and 62 yr. of age and diagnosed as having chronic illnesses were administered four questionnaires to assess physical and psychological variables and coping strategies: the Sickness Impact Profile, the Time Reference Inventory, and the Multidimensional Health Locus of Control. The Jaloweic Coping Scale assessed coping strategies. Canonical correlation indicated a single-factor link (Wilks' Λ) between scores on the first 3 tests, and the subscales of the coping scale. A significant but small correlation of .31 between the Multidimensional Health Locus of Control subscale, Powerful Others, and the coping subscale of Emotion-focused strategies was observed, that with the subscale Chance and the coping subscale confrontive strategies was negative. A second canonical correlation deleting the Time Reference Inventory score of age extension and including the three Sickness Impact Profile subscales was significant and positive for the Composite score and the subscale Palliative of the Jaloweic Coping Scale. Such data suggest that individuals who have a locus of control orientation of Powerful Others respond to chronic illness with emotionally based behaviors. In addition, chronically ill individuals who are physically dysfunctional tend to respond with palliative coping strategies.

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Hernandoko, Nauval, and Pringgo Widyo Laksono. "Inventory Control Using ABC Classification and Min-Max Stock Method in The Manufacture of Armored Vehicle Body Hull at PT XYZ." E3S Web of Conferences 465 (2023): 02009. http://dx.doi.org/10.1051/e3sconf/202346502009.

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Research and development efforts are currently underway to enhance inventory control systems. However, fluctuations in demand often pose challenges to achieving optimal inventory management. To address this issue, it is crucial to establish efficient control measures that maintain an optimal inventory level. This study focuses on finding an effective approach for PT XYZ to manage stockpiles of raw materials for armored vehicle body hulls, aiming to prevent shortages or excessive stockpiling. The research uses the ABC categorization system and the min-max stock approach as its material inventory control strategies. Inventory classification, inventory turnover, the amount of safety stock, minimum stock, maximum stock, and order quantity are all determined using this procedure. By conducting a case study on PT XYZ's material inventory control for Panzer body hulls, it was identified that 3 materials fell under the important category (A), 3 materials in the moderate category (B), and 20 materials in the less critical category (C). The findings of this research are that the ABC method and min-max stock can be used as a reliable foundation for establishing inventory control parameters. Companies are advised to evaluate and consider the rules for each material, such as material costs, rare or not material types, and a history of delays from suppliers. These factors play a significant role in determining appropriate inventory control measures.

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Journal articles on the topic 'Inventory Control Strategies'

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