22 results for “supply chain cost”

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Research ArticleOpen accessEvery word in the titleGlobal Supply Chain: Enhance Production Cost Efficiency Through Machine LearningLoubna Moumeni, Mohammed SaberMachine learning has enabled the discovery of various disciplines and patterns in Supply Chain Management (SCM). The entire industrial sector is striving to harness the contextual intelligence provided by machine learning by exploring new areas within the supply chain network. This article delves into Supply Chain Management (SCM) and its broader implications beyond logistics. SCM involves the resources, methods, and … …Journal of Computer Science, Vol. 20, Issue 9 · 14 Jun 2024 · 5,316 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleOptimizing an E-Waste Reverse Supply Chain Model while Incorporating Risk CostsLinh Thi Truc Doan, Yousef Amer, Sang- Heon Lee, Phan Nguyen Ky PhucThe rapid growth of Electronic Waste (E-waste) in recent years has created serious influences on the environment and society. The highly potential solution to mitigate this issue is the Reverse Supply Chain (RSC) which can reuse and recover E-waste materials. Risks generally derive from a RSC operation such as collection, transportation and treatment risks, but most studies ignore risk effects … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 4 · 24 Nov 2017 · 7,975 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsOptimizing Inventory Using Genetic Algorithm for Efficient Supply Chain ManagementP. Radhakrishnan, W. M. Prasad, M. R. GopalanProblem statement: Today, inventory management is considered to be an important field in Supply chain management. Once the efficient and effective management of inventory is carried out throughout the supply chain, service provided to the customer ultimately gets enhanced. Hence, to ensure minimal cost for the supply chain, the determination of the level of inventory to be held at various … …Journal of Computer Science, Vol. 5, Issue 3 · 31 Mar 2009 · 8,362 accessesView PDF Cite

Review ArticleOpen accessIn the abstractAI-Driven Innovations in Meat Quality and Safety: Applications, Challenges, and Future DirectionsEmrobowansan Monday IdamokoroArtificial Intelligence (AI) is revolutionizing the meat sector by improving efficiency, accurateness, as well as sustainability in meat production, quality evaluation, and safety control. The conventional systems of meat inspection, handling, and processing are usually time consuming, labour-intensive, prone to contamination during handling and often susceptible to human errors. The use of artificial intelligence to drive technologies, including Deep Learning … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 3 · 28 Jan 2026 · 3,680 accessesView PDF Cite

Review ArticleOpen accessIn the abstractA Comprehensive Survey on Applications, Challenges, Threats and Solutions in IoT Environment and ArchitectureSadia Waheed, Savera Hanif, Rubab Hafeez et al.The influence of the Internet of Things (IoT) on how people live, interact and conduct business has rapidly increased. Integrating physical objects with electronic networking, or the Internet of Things (IoT), allows for better communication and environment detection. In coming years, higher service levels will be offered by IoT-based technologies, remarkably changing how people would conduct their daily lives. Currently, … …Journal of Computer Science, Vol. 20, Issue 3 · 30 Jan 2024 · 7,261 accessesView PDF Cite

Research ArticleOpen accessIn the abstract3D and 4D Printing as Integrated Manufacturing Methods of Industry 4.0Antreas Kantaros, Theodore Ganetsos, Dimitrios Piromalis3D printing, also known under the term additive manufacturing, is a technology that allows the creation of complex and highly detailed objects using a digital model and a number of materials, such as plastics, metals, and ceramics. 4D printing is an expansion of 3D printing that incorporates time, meaning that the material used in 3D printing can change shape or … …American Journal of Engineering and Applied Sciences, Vol. 16, Issue 1 · 4 Mar 2023 · 8,133 accessesView PDF Cite

Research ArticleOpen accessIn the abstractImproved Meta-Heuristic for Multi-Objective Integrated Procurement, Production and Distribution Problem of Supply Chain Network Under Fuzziness UncertaintiesKaoutar Douaioui, Mouhsene Fri, Charif Mabrouki, El Alami SemmaIn this study, we devoted a design under uncertainty of a supply chain network composed of multiple suppliers, multiple plants, multiple distributors and multiple customers. The proposed model is a bi- objective mixed integer linear programming which consider several constraints and optimize the total costs including the procurement, production, storage and distribution costs as well as maximize on-time deliveries. In … …Journal of Computer Science, Vol. 17, Issue 12 · 27 Dec 2021 · 6,625 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA GENETIC ALGORITHM FOR A SIMULTANEOUS OPTIMISATION OF COST-RISK REDUCTION UNDER A JUST-IN-TIME ADAPTIONFaraj El Dabee, Romeo Marian, Yousef AmerJust-In-Time (JIT) as a lean manufacturing approach plays a significant role in minimising costs and performances of products and services supplied to the global marketplace. However, there are many potential risks that cause significant disruptions to all supply chain members. This study proposes a genetic approach for optimising a novel mathematical model for simultaneously minimising the total cost of a … …Journal of Computer Science, Vol. 10, Issue 12 · 26 Dec 2014 · 7,692 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA DATA WAREHOUSE DESIGN FOR THE DETECTION OF FRAUD IN THE SUPPLY CHAIN BY USING THE BENFORD’S LAWCornelia Kraus, Raul ValverdeLarge data volumes and the inability to analyse them enables fraudulent activities to go unnoticed in supply chain management processes such as procurement, warehouse management and inventory management. This fraud increases the cost of the supply chain management and a fraud detection mechanism is necessary to reduce the risk of fraud in this business area. This study was carried out … …American Journal of Applied Sciences, Vol. 11, Issue 9 · 7 Jul 2014 · 8,740 accessesView PDF Cite

Research ArticleOpen accessIn the abstract“OPTIMIZATION OF MULTI-COMMODITIES CONSUMER SUPPLY CHAINS FOR-PART I-MODELING”Zeinab Haji Abolhasani, Romeo M. Marian, Lee LoungThis study and its companions (Part II, Part III) will concentrate on optimizing a class of supply chain problems known as Multi-Commodities Consumer Supply Chain (MCCSC) problem. MCCSC problem belongs to Production-Distribution (P-D) planning category. It aims to determine facilities location, consumers’ allocation and facilities configuration to minimize total Cost (CT) of the entire network. These facilities can be manufacturer … …Journal of Computer Science, Vol. 9, Issue 12 · 26 Nov 2013 · 7,840 accessesView PDF Cite