ABC Analysis in an Internet Shop: A New Set of Criteria

This article presents a model of ABC analysis tailored for internet shops. The standard set of criteria is expanded to cover e-commerce specific characteristics, such as the number of product views, search engine rankings and product links via a recommendation system..The proposed new methodology is applied to real data from an internet bookstore in Poland. A comparison with the results of a standard, not internet-oriented ABC analysis shows the advantage of using the new set of criteria.ABC analysis, internet shop, inventory control

Multiple Criteria Inventory Classification for Storage Assignment and a Case Study

Abstract. Warehouse management has been turned into a more complicated issue depending on dynamics pertain to customer, good, speed and cost. It’s an inefficient and difficult approach to control all the stored items at the same level. Based on these; the main purpose of this study is bringing in a policy for warehouse management with the help of ABC Analysis via submitting the goods to inventory based classification. The goods will be assigned to slots according to their distances to the I/O point (Input/output point) by considering their importance orders at the end. In this context, DEMATEL method is utilized besides the Multi Criteria ABC Analysis methods used in literature. Initially Multi Criteria Decision Making techniques with weighted linear optimization, and in the following in order to make these calculations more accurate, calculation of cross evaluation of goods has been made in the literature. However, when we consider the calculation of cases which has increased numbers of goods, classification will be pretty hard. Thence, only cross evaluation points of goodsexceeding a threshold value when we apply DEMATEL method are calculated and applied to classification. On a model warehouse, mentioned techniques are benchmarked and it is shown that the approach, which is offered by us, reached similar or better results than the approaches in the literature in less time.Keywords. ABC Analysis, Multi Criteria Decision Making, Warehouse Management.JEL. M10, M11, M14

ABC Analysis For Inventory Management: Bridging The Gap Between Research And Classroom

ABC analysis is a well-established categorization technique based on the Pareto Principle for determining which items should get priority in the management of a company’s inventory.  In discussing this topic, today’s operations management and supply chain textbooks focus on dollar volume as the sole criterion for performing the categorization.  The authors argue that today’s businesses and supply chains operate in a world where the ability to deliver the right products rapidly to very specific markets is key to survival.  With suppliers, intermediaries, and customers all over the globe, and product lives decreasing rapidly, this focus on a single criterion is misplaced.  The large body of research was summarized based on multiple criteria ABC analysis that has accumulated since the 1980s and recommend that textbooks incorporate their key findings and methods into their discussions of this topic.  Suggestions are offered on how this discussion might be structured.

ABC Analysis For Inventory Management: Bridging The Gap Between Research And Classroom

ABC analysis is a well-established categorization technique based on the Pareto Principle for determining which items should get priority in the management of a company’s inventory.  In discussing this topic, today’s operations management and supply chain textbooks focus on dollar volume as the sole criterion for performing the categorization.  The authors argue that today’s businesses and supply chains operate in a world where the ability to deliver the right products rapidly to very specific markets is key to survival.  With suppliers, intermediaries, and customers all over the globe, and product lives decreasing rapidly, this focus on a single criterion is misplaced.  The large body of research was summarized based on multiple criteria ABC analysis that has accumulated since the 1980s and recommend that textbooks incorporate their key findings and methods into their discussions of this topic.  Suggestions are offered on how this discussion might be structured

ABC Analysis for Inventory Management: Bridging the Gap between Research and Classroom

ABC analysis is a well-established categorization technique based on the Pareto Principle for determining which items should get priority in the management of a company\u27s inventory. In discussing this topic, today\u27s operations management and supply chain textbooks focus on dollar volume as the sole criterion for performing the categorization. The authors argue that today\u27s businesses and supply chains operate in a world where the ability to deliver the right products rapidly to very specific markets is key to survival. With suppliers, intermediaries, and customers all over the globe, and product lives decreasing rapidly, this focus on a single criterion is misplaced. The large body of research was summarized based on multiple criteria ABC analysis that has accumulated since the 1980s and recommend that textbooks incorporate their key findings and methods into their discussions of this topic. Suggestions are offered on how this discussion might be structured

Multi-item Inventory Problem: Literature Review and a Proposal for Practitioners

[EN] Inventory managers have to assign an inventory policy to each item seeking to satisfy a required global service level with the lowest inventory cost. This paper reviews the existing literature and, based on current research, the most appropriate options are proposed to be used by practitioners.[ES] Los gestores de inventario tienen que asignar una política de inventario a cada artículo con el fin de satisfacer un nivel de servicio global requerido con el menor coste de inventario. En el presente documento se examina la bibliografía existente y, sobre la base de las investigaciones actuales, se proponen las opciones más apropiadas para su utilización práctica.Cardós, M.; De-La-Fuente-Aragón, M.; Ros-Mcdonnell, L. (2021). Multi-item Inventory Problem: Literature Review and a Proposal for Practitioners. Direccion y Organizacion. 74:67-80. https://doi.org/10.37610/dyo.v0i74.603S67807

DEASort: Assigning items with data envelopment analysis in ABC classes

Multi-criteria inventory classification groups similar items in order to facilitate their management. Data envelopment analysis (DEA) and its many variants have been used extensively for this purpose. However, DEA provides only a ranking and classes are often constructed arbitrarily with percentages. This paper introduces DEASort, a variant of DEA aimed at sorting problems. In order to avoid unrealistic classification, the expertise of decision-makers is incorporated, providing typical examples of items for each class and giving the weights of the criteria with the Analytic Hierarchy Process (AHP). This information bounds the possible weights and is added as a constraint in the model. DEASort is illustrated using a real case study of a company managing warehouses that stock spare parts

Application of Artificial Neural Networks to Multiple Criteria Inventory Classification

Inventory classification is a very important part of inventory control which represents the technique of operational research discipline. A systematicapproach to the inventory control and classification may have a significant influence on company competitiveness. The paper describes the results obtained by investigating the application of neural networks in multiple criteria inventory classification. Various structures of a back-propagation neural network have been analysed and the optimal one with the minimum Root Mean Square error selected. The predicted results are compared to those obtained by the multiple criteria classification using the analytical hierarchy process

Optimizing Inventory for Profitability and Order Fulfillment Improvement

Despite the extensive research on inventory management, few studies have investigated the optimization of inventory classification and control policies for maximizing the net present value of profit and order fulfillment performance. This dissertation aims to fill the gaps, and consists of two main essays. Essay One (Chapter 1) presents a new multi-period optimization model to explicitly address nonstationary demand, arbitrary review periods, and SKU-specific lead times, with the objective of maximizing the net present value of profit. A real-world application and computational experiments show that the optimal dynamic inventory classification and control decisions obtained from the model significantly reduce both safety stock and base stock levels compared to a multi-criteria inventory classification scheme and the traditional ABC approach. Essay Two (Chapter 2) examines two order-based fulfillment performance measures: the order fill rate, defined as the percentage of orders that are completely filled from available inventory; and the average customer-order fill rate, defined as the mean percentage of total units in a customer order that can be filled from on-hand inventory. Novel optimization models are developed to maximize the order fulfillment performance. Computational results indicate that a commonly used item-based measure in general does not adequately indicate order-based performance, and the tradeoffs between profit and order-based measures vary with inventory investment. This research contributes to the existing literature by providing new approaches to optimize inventory classification and control policies with various performance criteria. It also provides practitioners with a viable way to manage inventory with nonstationary demand, general review periods and lead times, and further allows companies to quantity the tradeoffs of different performance measures