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A model for demand planning in supply chains with congestion effects
Venkatadri, Uday; Wang, Shentao; Srinivasan, Ashok - In: Logistics 5 (2021) 1/3, pp. 1-24
This paper is concerned with demand planning for internal supply chains consisting of workstations, production … subsequently plan to fulfill demand. We first formulate a linear aggregate planning model for demand management that incorporates … the model in demand planning and capacity planning to help a supplier firmly respond to requests for quotations. We extend …
Persistent link: https://www.econbiz.de/10012426156
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Digital platforms and supply chain traceability for robust information and effective inventory management : the mediating role of transparency
Khan, Muhammad; Alshahrani, Amal Nasser; Jacquemod, Julija - In: Logistics 7 (2023) 2, pp. 1-20
Background: This article's main goal is to examine how digital platforms and supply chain traceability (SCT) might contribute to robust information and efficient inventory management (EIM); Methods: SmartPLS3 software was used in conjunction with the partial least squares structural equation...
Persistent link: https://www.econbiz.de/10014370479
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A two-storage inventory model with trade credit policy and time-varying holding cost under quantity discounts
Momena, Alaa Fouad; Haque, Rakibul; Rahaman, Mostafijur; … - In: Logistics 7 (2023) 4, pp. 1-25
that the prices and promotion of products influence the demand rate. The shortage can be partially backlogged, and the … negative impact on demand creation. Also, promotion frequency favors profitability, suppressing the corresponding costs …
Persistent link: https://www.econbiz.de/10014454503
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Developing a comprehensive shipment policy through modified epq model considering process imperfections, transportation cost, and backorders
Sajjad, Waseem; Ullah, Misbah; Khan, Razaullah; Hayat, … - In: Logistics 6 (2022) 3, pp. 1-20
Background: Determining the optimum shipment quantity in a traditional production system is a competitive business dimension, and developing a reliable shipment policy is decisive for long-term objectives. Currently, significant research in this domain has mainly focused on the optimum shipment...
Persistent link: https://www.econbiz.de/10013287774
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Efficient humanitarian logistics : multi-commodity location-inventory model incorporating demand probability and consumption coefficients
Delshad, Majid Mehrabi; Chobar, Adel Pourghader; … - In: Logistics 8 (2024) 1, pp. 1-20
probable demand, consumption factors, and transportation costs, and the second objective is to raise the level of services …
Persistent link: https://www.econbiz.de/10014507560
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Optimisation models for inventory management with limited number of stock items
Vasilev, Julian; Milkova, Tanka - In: Logistics 6 (2022) 3, pp. 1-12
Background: Stocks of raw materials and finished products are found in all units of logistics systems and require significant financial means of management. For this reason, scientifically justified approaches to stock management and cost minimisation must be explored. Despite the existence of...
Persistent link: https://www.econbiz.de/10013347813
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A sustainable two-echelon logistics model with shipment consolidation
Mostafa, Noha A.; Eldebaiky, Omar - In: Logistics 7 (2023) 1, pp. 1-14
Background: Shipment consolidation is a concept in logistics management in which two or more shipments are transported by using the same vehicle with the aim of using less resources. Methods: The objective of this manuscript is to study shipment consolidation and assess its impact on cost...
Persistent link: https://www.econbiz.de/10014285823
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A bi-objective mixed-integer linear programming model for a sustainable agro-food supply chain with product perishability and environmental considerations
Azab, Rana; Mahmoud, Rana S.; Elbehery, Rahma; Gheith, … - In: Logistics 7 (2023) 3, pp. 1-29
, inventory, processing, demand fulfilment, and waste disposal decisions. It also accounts for seasonality and perishability …
Persistent link: https://www.econbiz.de/10014393257
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Effective demand forecasting in health supply chains : emerging trend, enablers, and blockers
Subramanian, Lakshmy - In: Logistics 5 (2021) 1/12, pp. 1-21
of scarce resources and loss of lives. A chain is only as strong as its weakest link, and demand forecasting is one of … impede the accurate forecasting of demand, and without the ability to forecast demand with certainty, the stakeholders cannot … of risks, leading to the inability to match demand and supply. For this purpose, a systematic literature review was …
Persistent link: https://www.econbiz.de/10012488577
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Artificial Intelligence capabilities for demand planning process
Aparecida de Mattos, Claudia; Correia, Fernanda Caveiro; … - In: Logistics 8 (2024) 2, pp. 1-16
management, especially in the domain of supply chain management. This paper delves into the application of AI in demand planning … this study is to analyze how AI is being applied and adopted in the demand planning process, identifying the resources … needed to build the capacity of AI in the demand process, as well as the mechanisms and practices contributing to AI …
Persistent link: https://www.econbiz.de/10014631291