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Relevant bibliographies by topics / Supply chain management; Inventory control; Economic order Quantity / Journal articles

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Journal articles on the topic 'Supply chain management; Inventory control; Economic order Quantity'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Ashok, Singh Sunhal*1 &. Dharamvir Mangal2. "ANALYSIS OF INVENTORY MANAGEMENT IN A SUPPLY CHAIN BY USING ECONOMIC ORDER QUANTITY (EOQ) MODEL." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 10 (2017): 303–9. https://doi.org/10.5281/zenodo.1012527.

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The management of supply chain and the role and responsibilities of various persons involved varies from industry to industry. Due to which supply chain management has become a vital issue for manufacturing organizations, professionals and researchers. The ultimate aim of supply chain management is to satisfy the customer at optimum cost. Due to globalization, liberalization and advancement in new technologies supply chain has become more complex, more global and a more critical business function than ever before. In this work EOQ is determined by the junction of Ordering Cost curve and carryi

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Peng, Guo Jian, Guo Min Chen, Gang Chen, and Ze Hua Liu. "An Optimization Discusses of College Teaching Material Inventory Based on Supply Chain Management." Applied Mechanics and Materials 268-270 (December 2012): 2066–70. http://dx.doi.org/10.4028/www.scientific.net/amm.268-270.2066.

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This article investigate the structural form and process of college textbook supply chain in detail, and find out the matters of college textbook inventory under the Supply Chain Management on the base of Supply Chain Management, inventory control, inventory optimization and Economic batch theory. According to that problem, this article put forward a college teaching material inventory optimization model based on Fixed Order Quantity and fixed kickback rate, which is compared with the supply of university teaching characteristics and economic batch basic model, and to optimize inventory strate

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Sharma, Animesh Kumar. "A Comparative Analysis of Inventory Models: Evaluating the Economic Order Quantity (EOQ) Model with Constant Demand versus Variable Demand Rates." Journal of Ravishankar University (PART-B) 38, no. 1 (2025): 61–66. https://doi.org/10.52228/jrub.2025-38-1-4.

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Inventory control management remains a cornerstone of operational efficiency in modern supply chain systems. This study explores the Economic Order Quantity (EOQ) model, a foundational inventory control technique, by comparing its application under two distinct demand scenarios: constant and variable demand rates. This research highlights how demand variability influences optimal order quantities, total inventory costs, and decision-making processes through a detailed theoretical framework, mathematical analysis, and practical implications. From recent literature in operations research and sup

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Jahroni and Moh Muksin. "Economic Order Quantity (EOQ) Application to Raw Material Inventory Control for SME's." Community Service Journal (CSJ) 5, no. 2 (2023): 88–98. http://dx.doi.org/10.22225/csj.5.2.2023.88-98.

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The application of the Economic Order Quantity (EOQ) method in managing raw material supplies for Pempek Isti, a micro, small, and medium enterprise (MSME) specializing in Palembang's culinary specialty, Pempek. The study reveals that the current raw material supply management is inefficient, leading to frequent shortages or excess orders, resulting in additional costs and inefficiencies. To tackle this issue, the study proposes the implementation of the EOQ analysis to minimize inventory costs and maximize profits. The research focuses on determining the optimal order quantities for three key

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Iyadunni Adewola Olaleye, Chukwunweike Mokogwu, Amarachi Queen Olufemi-Phillips, and Titilope Tosin Adewale. "Enhancing economic stability and efficiency through strategic inventory control innovations." International Journal of Advanced Economics 6, no. 12 (2024): 747–59. https://doi.org/10.51594/ijae.v6i12.1750.

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Strategic inventory control plays a pivotal role in enhancing economic stability and operational efficiency in modern economies. This paper explores foundational inventory management theories, including Just-In-Time (JIT), Economic Order Quantity (EOQ), and ABC analysis, highlighting their significance in addressing challenges such as demand variability, supply chain disruptions, and cost optimization. Building on these principles, the paper examines recent innovations in inventory control, including automation, artificial intelligence, blockchain technology, and sustainable practices, which h

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Hu, Weixuan, and Pianpian Cheng. "W Company's Supply Chain Network Restructuring and Inventory Control Optimization Research." Journal of Business and Marketing 1, no. 4 (2024): 16–23. https://doi.org/10.62517/jbm.202409403.

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The paper analyzes and optimizes the supply chain network and inventory management of W Company, improves the operational efficiency and reduces costs, and provides reference for the supply chain network reconstruction and inventory control optimization under the complex economic environment. In the process of constructing the supply chain network optimization model of W Company, this paper integrated 2,316 shipping records and 100,645 customer order data to ensure that the fulfillment of each order can be accurately tracked. By matching the quantity of products and services in the shipping re

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Kartikasari, Maya Andini. "Material Planning and Inventory Control in the Nutrition Service Unit at Ummi Hospital Bogor." Jurnal Logistik Indonesia 8, no. 1 (2024): 55–62. http://dx.doi.org/10.31334/logistik.v8i1.3857.

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Inventory management is a critical component of supply chain management that involves the planning, controlling, and overseeing of inventory levels to ensure the availability of materials while minimising costs. Proper inventory management ensures that essential food supplies are always available, allowing the hospital to provide consistent and varied meal options tailored to patient needs. Effective inventory management also ensures that there are no disruptions in meal service due to stockouts and avoids the capital and storage issues related to overstocking. This study aims to provide solut

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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 f

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Oluwatumininu Anne Ajayi. "Optimizing inventory management through reinforcement learning." International Journal of Science and Research Archive 8, no. 1 (2023): 1110–16. https://doi.org/10.30574/ijsra.2023.8.1.0137.

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Inventory management remains a cornerstone of effective supply chain performance, directly influencing cost efficiency, service quality, and organizational agility. In today’s hypercompetitive and uncertain market environment, inventory decisions must account for complex variables such as fluctuating demand, supply disruptions, lead time variability, and market seasonality. Traditional inventory control models such as the Economic Order Quantity (EOQ), base-stock policies, and (s, S) strategies are often static in nature. They rely on pre-defined parameters and assume stationarity in demand an

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Rizky, Faisal Nugraha, and Eng. Mursyid Hasan Basri S. T. M. T. Dr. "Analysis of Inventory Management System at Pharmacy of XYZ Hospital." International Journal of Current Science Research and Review 07, no. 07 (2024): 5716–34. https://doi.org/10.5281/zenodo.13132809.

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Abstract : This research examines inventory management at the XYZ Hospital Pharmacy Installation in Bandung, with a special focus on medicines and medical devices. The background to this research is the significant increase in health costs and the importance of effective supply chain management to reduce unnecessary costs. Based on monthly stock and daily sales data from October 2023 to February 2024, this research uses quantitative methods to calculate optimal inventory levels, including Economic Order Quantity (EOQ), safety stock, and reorder point (ROP). This research also applies ABC analy

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Zvinowanda, Douglas, Donna Tsakani Ncube, and Chengedzai Mafini. "Exploring South African automotive sector inventory management practices and systems knowledge." International Journal of Advanced Business Studies 4, no. 3 (2025): 70–100. https://doi.org/10.59857/wzaxak62.

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The study explores the application of inventory management practices and systems in the South African automotive sector. The study used a qualitative approach in which focus groups and semi-structured interviews were conducted on 18 supply chain professionals drawn from the automotive industry in four provinces in South Africa. ATLAS.ti software was used to analyse data. The study generated two themes of South African automotive industry stock management practices and system knowledge. These themes were labelled as inventory management practices and systems knowledge. The results revealed that

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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 u

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Wibowo, Satriyo Hadi, and Niniet Indah Arvitrida. "Inventory Management Of Gasoline Ron 92 And Gasoil 0,05% Sulphur With Monte Carlo Simulation." Journal of Social Research 4, no. 7 (2025): 1551–71. https://doi.org/10.55324/josr.v4i7.2608.

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Fuel (BBM) is a strategic commodity that plays a crucial role in supporting various economic sectors. PT XYZ, one of the fuel suppliers in Timor Leste, faces significant challenges in ensuring a stable and timely supply. Issues such as demand fluctuations, lead time uncertainty, and limited storage capacity often trigger stockout risks and additional operational costs such as demurrage. In 2023, PT XYZ recorded two stockout events and two potential demurrage occurrences, resulting in financial losses and missed sales opportunities. This study adopts a Monte Carlo simulation approach to model t

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Kurniawan, Michael Radius, Hadiyanto Hadiyanto, Joe Daniansyah Pahlevi Zulkarnaen, and Christian Harito. "Use Case Diagram for Enhancing Warehouse Performance at PT. MDA Through the Implementation of 5S, Economic Order Quantity, Safety Stock, and Warehouse Management System." Engineering, MAthematics and Computer Science Journal (EMACS) 6, no. 1 (2024): 69–78. http://dx.doi.org/10.21512/emacsjournal.v6i1.11204.

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An industrial water pump importing company relies on a network of distribution warehouses to efficiently manage the storage and delivery of its products to clients. This paper delves into the operational intricacies of the company, with a primary focus on sustaining a superior level of service to meet customer demands, all while attempting to minimize costs and achieve optimal inventory control. The central aspects explored in this research encompass the meticulous determination of the number of pipes needed and the optimal ordering times. To address this, the Probabilistic Economic Order Quan

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Aufy, Samah A., Rasha Jabbar, and Waad Q. Shiaa. "Adaptive Stochastic Approach for Evaluating Service Level Using a (SIM-ESL) Module Developed for Optimizing Product Availability and Order Accuracy." Management Systems in Production Engineering 33, no. 2 (2025): 220–28. https://doi.org/10.2478/mspe-2025-0021.

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Abstract Inventory decisions are both high risk and high benefit throughout supply chain. Inventory management plays a crucial role since it assists manufacturing firms enhance their efficiency and competitiveness. Service level is a basic performance indicator of shortage inventory when an order is placed. Precise forecasts and optimum level of inventory can decrease the stock-outs and enhance the inventory service level. Finished goods are most common form of inventories have direct related with customer. Thus, the importance of specifying the suitable level of finished goods inventory asset

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Carpenter, Chris. "Adaptive Framework Aims To Develop Resilient Supply Chain Using 3D Printing." Journal of Petroleum Technology 73, no. 12 (2021): 44–45. http://dx.doi.org/10.2118/1221-0044-jpt.

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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 203089, “Adaptive Framework for Resilient Supply Chain Using 3D Printing in the Oil and Gas Industry,” by Yousef Al Tartoor, Adel Khalaf, and Mohammed Awadallah, ADNOC, prepared for the 2020 Abu Dhabi International Petroleum Exhibition and Conference, Abu Dhabi, held virtually 9–12 November. The paper has not been peer reviewed. Resilient supply-chain management plays an essential role in organizational success. While an effective supply chain is dependent on logistics, inventory control, and mater

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Sharma, Aayush. "MANAGEMATE-An Integrated Platform for Inventory, Financial, and Business Management." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem45677.

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Abstract - Compelling stock administration is critical for upgrading functional productivity, limiting expenses, and keeping an upper hand across different ventures, from little and medium undertakings (SMEs) to enormous scope administration and assembling associations. This concentrate thoroughly looks at the adequacy of laid out stock administration strategies, like ABC analysis, XYZ examination, Monetary Request Amount (EOQ), and multi-standards stock characterization, while researching their applications in assorted business settings. Through a top to bottom contextual analysis approach, w

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Hemapriya, S., and R. Uthayakumar. "Integrated production inventory model with variable production rate on quality of products involving probabilistic defective under variable setup cost." RAIRO - Operations Research 54, no. 6 (2020): 1723–56. http://dx.doi.org/10.1051/ro/2019107.

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A predetermined production rate in a supply chain model with economic production lot size is quite appropriate for this type of situations as production rate can be changed in some cases to fulfill demand of customers. This paper investigates an integrated production inventory model with variable production rate on quality of products involving probabilistic defective under variable setup cost. As a rate of production has a direct impact on system performance, the production rate is considered as a variable along with the production cost. This production process gone through a long run system

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Farid, Muhamad, Maghfira Cahya Qisthi Ariyadi, Siti Zahra Khumaira, Aryaseta Bagus Reynaldo, and Farel Salsabila Junayat. "Analisis Penerapan Metode Economic Order Quantity (EOQ) dalam Pengendalian Persediaan Produk." Jurnal Ekobistek 13, no. 4 (2024): 173–78. https://doi.org/10.35134/ekobistek.v13i4.859.

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Supply chain management is a crucial aspect of a company's operations. This study aims to examine the application of the Economic Order Quantity (EOQ) method in managing finished product inventory at Evodis Aroma, a company engaged in the essential oil aromatherapy industry. Efficiency in supply chain management, particularly inventory management, is key for companies to meet customer demand while minimizing operational costs. The EOQ method is applied to determine the optimal quantity of products to order or produce in order to minimize storage and ordering costs. In addressing the challenges

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Ragil Setyorini and Purwanti. "Optimalisasi Manajemen Persediaan: Strategi Meningkatkan Efisiensi dan Mengurangi Biaya dalam Operasi Rantai Pasokan." Jurnal Akuntansi Keuangan Dan Perpajakan | E-ISSN : 3063-8208 1, no. 3 (2025): 210–15. https://doi.org/10.62379/jakp.v1i3.173.

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Inventory management plays a critical role in ensuring smooth operations in supply chains. Efficient inventory management strategies can help organizations reduce costs, improve customer service, and maintain a balanced flow of goods. This paper explores various techniques for optimizing inventory management, such as Just-in-Time (JIT), Economic Order Quantity (EOQ), and Vendor Managed Inventory (VMI). The study emphasizes the importance of leveraging technology, data analytics, and automation to improve decision-making processes and achieve operational excellence. By adopting the right strate

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Syifa Dida Batista, Danil Irdan, Rangga Bayu Anggoro, and Aloysius Tommy Hendrawan. "Analisis Supply Chain Management Pabrik Tahu Nasional Kota Madiun Menggunakan Metode Economic Order Quantity." Venus: Jurnal Publikasi Rumpun Ilmu Teknik 2, no. 4 (2024): 301–10. http://dx.doi.org/10.61132/venus.v2i4.438.

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Every company that carries out production activities needs a supply of raw materials. With the availability of raw materials, it is hoped that industrial companies can carry out the production process according to consumer demand. In addition, adequate supplies of raw materials in the warehouse are also expected to improve the smoothness of production or service to consumers, as well as prevent shortages of raw materials. This research aims to identify and analyze the inventory management of raw materials implemented by the National Tofu Factory. The research method used is descriptive, with a

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Janavarthini, P., and I. Antonitte Vinoline. "Supply Chain Inventory Model for Defective Items with Sustainable Repair and Recovery Operations in Pythagorean Fuzzy Environment." Indian Journal Of Science And Technology 18, no. 3 (2025): 193–202. https://doi.org/10.17485/ijst/v18i3.3963.

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Objectives: To propose and justify a supply chain inventory model with sustainable repair and recovery operations under a triangular Pythagorean fuzzy environment. Methods: An economic order quantity model for minimizing the waste generated from repair and recovery operations of the supply chain with two storage units is formulated by introducing associated costs. Pythagorean fuzzy parameters were employed in this model to better represent the uncertainty present in everyday life. By solving the model, the ideal order quantity is determined. A numerical example is illustrated for the model, an

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Douraid, Abdessamad, Hamid Ech-Cheikh, Khalid El Had, and Mohamed Laradi. "Comparing continuous control policies by modeling and simulation of the procurement process." International Journal of Engineering & Technology 9, no. 1 (2020): 211. http://dx.doi.org/10.14419/ijet.v9i1.29949.

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Inventory management is a challenging problem area in supply chain management and companies need to have inventories in warehouses in order to satisfy customer's needs. Meanwhile, these inventories have holding costs and this is a frozen fund that can be lost. Therefore, the task of inventory management is to find the right quantity of inventories that will fulfill the demand with the right price, avoiding overstocks. The aim of this paper is to carry out a comparing study of continuous inventory control policies in a stochastic environment of demand and lead time, in order to find out the imp

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P, Janavarthini, and Vinoline Antonitte. "Supply Chain Inventory Model for Defective Items with Sustainable Repair and Recovery Operations in Pythagorean Fuzzy Environment." Indian Journal of Science and Technology 18, no. 3 (2025): 193–202. https://doi.org/10.17485/IJST/v18i3.3963.

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<strong>Objectives:</strong> To propose and justify a supply chain inventory model with sustainable repair and recovery operations under a triangular Pythagorean fuzzy environment. <strong>Methods:</strong> An economic order quantity model for minimizing the waste generated from repair and recovery operations of the supply chain with two storage units is formulated by introducing associated costs. Pythagorean fuzzy parameters were employed in this model to better represent the uncertainty present in everyday life. By solving the model, the ideal order quantity is determined. A n

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Setyadi, Heribertus Ary, Budi Al Amin, and Pudji Widodo. "Implementation Economic Order Quantity and Reorder Point Methods in Inventory Management Information Systems." Journal of Information Systems and Informatics 6, no. 1 (2024): 103–17. http://dx.doi.org/10.51519/journalisi.v6i1.647.

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Inventory control is at the core of supply management to balance inventory needs and demand. With an inventory system, management can control stock of materials and goods, production process and sales transactions can even stop the production process if necessary. Sari Gamping building materials store that sells various building needs including building materials and tools. Data management of goods, transactions and inventory processing still uses conventional methods using Microsoft Office. The purpose of this research is to analyze the ongoing inventory management process to create an invent

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Abdullah, Sadique Mohammad. "Inventory Optimization in Global Automotive Manufacturing Supply Chains." Journal of Procurement and Supply Chain Management 4, no. 1 (2025): 48–59. https://doi.org/10.58425/jpscm.v4i1.377.

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Aim: With rapid growth in the automotive industry, especially in the manufacturing of electric vehicles (EVs), efficient inventory management has become an eminent tool to minimize production cost, increase supply chain resilience, achieve higher fill rates, and inventory turnovers. This study aims to examine and evaluate effective inventory optimization strategies in global automotive manufacturing supply chains, with a particular focus on electric vehicle production, where demand fluctuations, supply chain disruptions, and stiff competition pose unique challenges. Methods: The study employs

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Hadiwijaya, Syarif, Tiara Ramadhandika, Suwanda Suwanda, Florida Butarbutar, and Muhammad Nurhasan Assidiq. "Minimasi Bullwhip Effect dengan Metode EOQ pada Supply Chain: Studi Kasus Distributor Susu XX." Industrika : Jurnal Ilmiah Teknik Industri 9, no. 3 (2025): 843–53. https://doi.org/10.37090/indstrk.v9i3.2319.

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XX Milk distributors face the bullwhip effect, which is fluctuations in excess demand due to inaccurate information and a suboptimal ordering system, causing stock inefficiency. This study aims to minimize the bullwhip effect on XX Milk Distributors by applying the Economic Order Quantity (EOQ) method. The research uses a quantitative approach with an explanatory design. The data used includes demand and sales of SGM Eksplor milk from five major retailers in Bekasi during the period from May 2022 to April 2023. The analysis techniques used include the calculation of the variance coefficient to

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Tao, Sunyu, Shenglin Liu, Huijie Zhou, and Xiaoyan Mao. "Research on Inventory Sustainable Development Strategy for Maximizing Cost-Effectiveness in Supply Chain." Sustainability 16, no. 11 (2024): 4442. http://dx.doi.org/10.3390/su16114442.

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This study addresses the challenges of the expanding global online retail market by developing an innovative inventory management strategy that promotes sustainable development. We propose an integrated planning model that utilizes a newly enhanced Parallel Chicken Swarm Optimization (PCSO) algorithm alongside the established Economic Order Quantity (EOQ) model and the (s, S) inventory policy. Our model demonstrates its effectiveness through simulation experiments, showcasing its ability to dynamically adjust inventory thresholds based on daily forecasted demand, which significantly optimizes

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Alabdulkarim, Abdullah A. "Minimizing the bullwhip effect in a supply chain: a simulation approach using the beer game." SIMULATION 96, no. 9 (2020): 737–52. http://dx.doi.org/10.1177/0037549720930284.

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In this research, the aim is to find the most appropriate inventory management logic and set of rules along with the optimal decision values that will minimize the bullwhip effect in a supply chain, taking the beer game supply chain as a reference model. In order to achieve this, a simulation model of the beer game supply chain is developed along with an ordering strategy based on the Economic Order Quantity with additional rules, such as no backorder policy, vendor-managed inventory, and taking into consideration route deliveries, all of which are implemented in the ordering algorithm. In the

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Hu, Lihua, and Tao Fan. "Hierarchical Scheduling of Complex Dynamic Supply Chain." Applied Sciences 13, no. 1 (2022): 75. http://dx.doi.org/10.3390/app13010075.

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Green manufacturing (especially the right production scale) and optimization of logistics transportation (especially logistics transportation to ensure economic benefits) have become challenging issues. This paper focuses on production planning and scheduling of dynamic supply chain via H∞ control scheme. This paper considers the production scale control and resource scheduling optimization of complex dynamic supply chain under the impact of the COVID-19 pandemic.Firstly, the information of green manufacturing production is collected, and a new mathematical model of complex dynamic supply chai

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Jayaswal, Mahesh Kumar, and Mandeep Mittal. "Impact of Inflation and Credit Financing Policy on the Supply Chain With Learning." International Journal of Information Systems and Supply Chain Management 15, no. 1 (2022): 1–25. http://dx.doi.org/10.4018/ijisscm.304368.

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Technology drives many fields to improve the quality of items during the supply of the products. Despite proficient planning in the industrial system and the presence of sophisticated techniques, there may be some defective items in the lots. This paper deals with the inventory model that determines economic order quantity (EOQ) with learning effect for decaying defective quality items under the inflationary condition and credit financing policy. The objective of the work is to analyze the impact of credit financing policy, learning, and inflationary condition on the order quantity and retaile

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Manta, Faisal. "OPTIMASI TOTAL INVENTORY COST PADA PERSEDIAAN SPARE PART ALAT BERAT DENGAN MENGGUNAKAN METODE ECONOMIC ORDER QUANTITY." Pena Jurnal Ilmu Pengetahuan dan Teknologi 34, no. 1 (2020): 1. http://dx.doi.org/10.31941/jurnalpena.v34i1.994.

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<span>a Heavy Equipment Trading Company, mainly dealing as the main distributor of Volvo Penta in Kalimantan, needs some revampment of their inventory planning and controlling. This company still does not have any efficient and economically structured supply chain, resulting in demands exceeding their available supply. According to purchase log in Inventory Department from September 2017 to August 2018, there had been some efforts by supply management to fix this problem by applying </span><span>Economic Order Quantity (</span><span>EQQ) method. The result is quit

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Sharma, Sanjay, and Akshat Sisodia. "Comparative multi criteria analysis and dependent optimisation through integrated supply chain." International Journal of Productivity and Performance Management 63, no. 8 (2014): 1046–69. http://dx.doi.org/10.1108/ijppm-09-2013-0164.

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Purpose – The purpose of this paper is to compare various inventory policies and their effect on various performance metrics at different levels of a multi stage supply chain. Later the model is integrated to include optimization of entire supply chain through implementation of collaborative supply chain model. Design/methodology/approach – Alternative inventory policies have been developed at different echelons and a comparison reflecting the usability on various factors such as inventory level, inventory cost and service level is presented so as to support the decision-making process. Variou

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Yashh Hemant, Gaikwad, and Najla Shafighi. "Inventory Optimization for Manufacturing Industries." International Journal of Advanced Business Studies 2, no. 1 (2023): 1–21. http://dx.doi.org/10.59857/jxpw4638.

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Inventory management being the significant part of the supply chain drives the maximum monetary value. The purpose of this study is to optimize an inventory for Vhrushi India Pvt. Ltd. by reducing the inventory cost and developing an inventory management system. The Quantitative approach is used for the research work. The inventory cost reduction is performed by application of EOQ modeland excel visual basics is used for Inventory Management system. The author intends to determine the appropriate order quantity and reorder point by implementation of EOQ (Economic Order Quantity) model. As tech

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Alnahhal, Mohammed, Batin Latif Aylak, Muataz Al Hazza, and Ahmad Sakhrieh. "Economic Order Quantity: A State-of-the-Art in the Era of Uncertain Supply Chains." Sustainability 16, no. 14 (2024): 5965. http://dx.doi.org/10.3390/su16145965.

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Inventory management is crucial for companies to minimize unnecessary costs associated with overstocking or understocking items. Utilizing the economic order quantity (EOQ) to minimize total costs is a key decision in inventory management, particularly in achieving a sustainable supply chain. The classical EOQ formula is rarely applicable in practice. For example, suppliers may enforce a minimum order quantity (MOQ) that is much larger than the EOQ. Some conditions such as imperfect quality and growing items represent variants of EOQ. Moreover, some requirements, such as the reduction of CO2 e

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Alkahtani, Mohammed. "Mathematical Modelling of Inventory and Process Outsourcing for Optimization of Supply Chain Management." Mathematics 10, no. 7 (2022): 1142. http://dx.doi.org/10.3390/math10071142.

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Outsourcing is one of the major challenges for production firms in the current supply chain management (SCM) due to limited skilled workers and technology resources. There are too many parameters involved in the strategic decisions of the outsourcing level, quantity, quality, and cost. The outsourcing process removes the burden of capital investment; however, still it creates crucial concerns related to inventory control and production management by adding extra inventories. The semi-finished products are outsourced for a few processes due to limited resources and then returned to the manufact

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Mustafid, Dwi Ispriyanti, Sugito, and Diah Safitri. "Inventory control systems for stochastic lead time demand." E3S Web of Conferences 73 (2018): 13021. http://dx.doi.org/10.1051/e3sconf/20187313021.

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Product inventory control can be used to provide information related to processes of production and distribution products based on lead time and product demand from consumers. The research aims to design product inventory control systems for stochastic lead time demand, and using exponential smoothing to make lead time demand prediction. The design of the control system uses the probability method based on the estimated number of product demand from the market or consumer. This research provides theoretical framework for control systems of products that can determine the size of inventory para

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S, Santhosh, and Dr D. Jogish. "A STUDY ON INVENTORY MANAGEMENT” AT MULTITEK AUTO PARTS IN DODDABALLAPUR." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 10 (2023): 1–11. http://dx.doi.org/10.55041/ijsrem26621.

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The study on inventory management at Multitek Auto Parts addresses the critical importance of efficient inventory management practices within the automotive parts industry. Multitek Auto Parts, a prominent player in this sector, faces challenges in maintaining an optimal balance between supply and demand while minimizing costs and ensuring customer satisfaction. This research delves into the various strategies employed by Multitek Auto Parts to manage their inventory effectively, considering factors like demand forecasting, procurement methods, stock control techniques, and technology integrat

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Postacchini, Leonardo, Filippo Emanuele Ciarapica, Maurizio Bevilacqua, Giovanni Mazzuto, and Claudia Paciarotti. "A way for reducing drug supply chain cost for a hospital district: A case study." Journal of Industrial Engineering and Management 9, no. 1 (2016): 207. http://dx.doi.org/10.3926/jiem.1262.

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Purpose: This work aims at providing insights to optimise healthcare logistic of the drug management, in order to deal with the healthcare expenditure cut. In this paper the effects of different drug supply chain configurations, on the resulting average stock, service level and Bullwhip effect, of the studied supply chain, is quantitatively assessed. Design/methodology/approach: A case study of an Italian district has been studied, taking into account three echelons: suppliers, central stock, and hospitals. A model of the various supply chain configurations has been created with the use of the

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Andriansyah, Ari. "ANALISIS BIAYA PENJUALAN MENGGUNAKAN PERHITUNGAN POQ DALAM MERENCANAKAN DAN MENGENDALIKAN PERSEDIAAN POMPA AIR SUBMERSIBLE DI TOKO. XYZ." LAND JOURNAL 6, no. 1 (2025): 186–92. https://doi.org/10.47491/landjournal.v6i1.4009.

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Optimal inventory management is one of the key elements in supply chain management, especially for companies focusing on products with fluctuating demand, such as submersible water pumps. This study aims to analyze the planning and control of submersible water pump inventory at PT. XYZ using the Period Order Quantity (POQ) method. The POQ method was chosen for its ability to determine the optimal order quantity based on actual demand periods, thereby minimizing inventory costs, including ordering and holding costs. The analysis process begins by identifying historical demand data, inventory co

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Kawtikwar, Miss Aishwarya N., Dr (Mrs) P. M. Alandkar, and Er Pooja S. Sonawane. "Overview of ERP Software for Warehouse Inventory Management." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 4702–10. https://doi.org/10.22214/ijraset.2025.69382.

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Abstract: Effective inventory management is crucial for optimizing warehouse operations and enhancing supply chain efficiency. This study investigates the impact of Enterprise Resource Planning (ERP) software, specifically Zoho Inventory, on inventory management practices in warehouses. The research methodology involves a case study of N B Bhalchandra Akashvan, a residential construction project, and data analysis using frequencies, Pearson correlation, and Cronbach Alpha. The findings reveal that Zoho ERP streamlines warehouse inventory management by enabling real-time stock tracking, automat

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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 resea

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Mahata, Gour Chandra, and Puspita Mahata. "Optimal Ordering Strategy of a Replenishment Policy for Deteriorating Items Under Retailer’s Partial Trade Credit Policy." International Journal of Strategic Decision Sciences 2, no. 2 (2011): 78–94. http://dx.doi.org/10.4018/jsds.2011040105.

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This paper investigates the economic order quantity inventory model for a retailer under two levels of trade credit to reflect the supply chain management situation. It is assumed that the retailer maintains a powerful position and can obtain full trade credit offered by supplier, yet the retailer just offers the partial trade credit to customers. Under these conditions, the retailer can obtain the most benefits. This study also investigates the retailer’s inventory policy for deteriorating items in a supply chain management situation as a cost minimization problem. The present study shows tha

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Oluwakemi Famoti, Ogechukwu Nwanneka Ezechi, Chikezie Paul-Mikki Ewim, et al. "Operational Efficiency in Retail: Using Data Analytics to Optimize Inventory and Supply Chain Management." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 1483–94. https://doi.org/10.32628/cseit251112173.

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The retail industry faces constant challenges in managing inventory and optimizing supply chain processes to meet customer demand while minimizing costs. Data analytics emerges as a powerful solution to enhance operational efficiency in these areas. This paper explores how data-driven approaches can transform inventory management and supply chain operations. In inventory management, leveraging historical sales data, seasonal trends, and machine learning algorithms can significantly improve demand forecasting. Techniques such as ABC analysis, safety stock calculations, and economic order quanti

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Hidayat, Rahmat, Wahyuda Wahyuda, and Farida Djumiati Sitania. "Soybean Inventory Management at Gesit Tahu Factory Using the Economic Order Quantity (EOQ) Method." IJIEM - Indonesian Journal of Industrial Engineering and Management 5, no. 2 (2024): 477. https://doi.org/10.22441/ijiem.v5i2.22938.

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Gesit Tahu is a small-scale factory engaged in the tofu industry, in the production process is closely related to the supply of the main raw material, namely soybeans. Gesit Tahu has not been optimal in controlling the level of raw material inventory where this factory has experienced a shortage of soybean inventory due to high demand, so it requires a method that can optimize raw material purchases and minimize inventory costs, the right method in solving this problem is using the Economic Order Quantity (EOQ) method. The purpose of this study is to determine the inventory control of Gesit Ta

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Mokhlesabadi, Shahram, Mohammad Reza Kabaranzad Ghadim, Hasan Ali Aghajani Kasegari, and Mohammad Mahdi Movahedi. "Design and development of a model and optimal planning for supply chain responsibility towards the environment." Nexo Revista Científica 34, no. 01 (2021): 168–85. http://dx.doi.org/10.5377/nexo.v34i01.11295.

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The responsible management of product return flows in production and inventory environments is a rapidly increasing requirement for companies. This can be attributed to economic, environmental and/or regulatory motivations. Mathematical modeling of such systems has assisted decision-making processes and provided a better understanding of the behavior of such production and inventory environments. This paper reviews the literature on the modeling of reverse logistics inventory systems based on the economic order/production quantity (EOQ/EPQ) and the joint economic lot size (JELS) settings to sy

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Rafie-Majd, Zahra, and Seyed Hamid Reza Pasandideh. "Solving a Supply Chain Problem Including VMI and Cross-Docking Approaches, with Genetic Algorithm." Journal of Advanced Manufacturing Systems 18, no. 02 (2019): 311–24. http://dx.doi.org/10.1142/s0219686719500161.

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In this paper, for the first time the cross-docking concept is considered in a vendor-managed inventory (VMI)-based supply chain. In this supply chain, and based on the economic order quantity (EOQ) model, a vendor prepares and sends several products to retailers. Then, retailers, based upon customers’ order, send products to the cross-dock to be delivered to the customers. Demands of retailers and customers are deterministic and shortage is acceptable as backorder. Presented mathematical model (of integer nonlinear programming type) seeks to minimize the total cost of the supply chain. Thus,

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Decy Arwini, Ni Putu. "PENGELOLAAN INVENTORI DALAM SUPPLY CHAIN MANAGEMENT." Jurnal Ilmiah Vastuwidya 7, no. 1 (2024): 66–72. http://dx.doi.org/10.47532/jiv.v7i1.1022.

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Pengelolaan inventori memiliki peranan yang sangat penting bagi keberlangsungan kegiatan perusahaan, karena inventori mempengaruhi kegiatan produksi perusahaan dan merupakan harta lancar perusahaan. Inventori harus ada karena akan menetukan tingkat pelayanan yang mampu diberikan perusahaan kepada konsumennya, namun tidak boleh berlebihan karena akan berkaitan dengan biaya simpan inventori dan kemungkinan inventori tersebut akan rusak, hilang atau kadaluwarsa. Berdasarkan bentuknya, inventori dapat diklasifikasikan menjadi bahan baku, barang setengah jadi dan produk jadi. Berdasarkan fungsinya,

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Wang, Zidu. "Data-Driven Supply Chain Performance Optimization Through Predictive Analytics and Machine Learning." Applied and Computational Engineering 118, no. 1 (2024): 30–35. https://doi.org/10.54254/2755-2721/2025.18487.

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The paper discusses the use of predictive analytics and machine learning techniques like the LSTM neural network in order to enhance supply chain effectiveness. Economic Order Quantity (EOQ), JIT, and linear programming are well known for their supply chain optimization approaches, but they rarely take the challenge of an evolving supply chain into account. Such methods ignore real-time information and the non-linear dynamics of supply chain variables. Instead, the LSTM model takes historical and real-time data and calculates demand with high precision, making it easier to manage your inventor

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Vijay, Veer Singh Dhillon. "Evaluating Anticipated Inventory Return Rates: Analysis of Circular Economy Metrics." Young Researcher S14, no. 1B (2025): 147–53. https://doi.org/10.5281/zenodo.14857402.

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<em>This research explores the role of inventory management in the circular economy, focusing on how return inventory rates affect the sustainability and profitability of supply chain management. The present study proposes an Economic Production Quantity (EPQ) model with dual-market demand, recoverable items, external procurement, and circular economy indicators. A mixed-methods approach including quantitative surveys and qualitative interviews was employed to collect insights from 90 industry experts across the fashion and technology sectors. The results indicate that a majority of the respon

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