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Bibliographies thématiques / Shortage back- ordering

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Littérature scientifique sur le sujet « Shortage back- ordering »

Auteur : Grafiati

Publié le 2 juin 2025

Mis à jour le 31 juillet 2025

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Articles de revues sur le sujet "Shortage back- ordering"

1

Zhang, Biao, and Di Zhang. "An Optimal Inventory Model Based on the Effect of Time-Limited Free Back-Orders." Key Engineering Materials 474-476 (April 2011): 1338–44. http://dx.doi.org/10.4028/www.scientific.net/kem.474-476.1338.

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An optimal inventory model is proposed in this paper. Firstly, the prerequisite of this model is given out. Under the supposed condition of deterioration, the demand rate of articles depends on the inventory level, meanwhile the status of shortage and partial back-order. The optimal inventory model of fixed free back orders is on this basis. With those numerical values in this model, the optimal ordering cycle and ordering batch of stock system are counted out and the sensitivity is analyzed by using the mathematical software Mathmatica 7.0.

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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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             <em> 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

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PIRAYESH, MOHAMMADALI, and MOHAMMAD MODARRES YAZDI. "MODELING (r, Q) POLICY IN A TWO-LEVEL SUPPLY CHAIN SYSTEM WITH FUZZY DEMAND." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 18, no. 06 (2010): 819–41. http://dx.doi.org/10.1142/s0218488510006817.

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In this paper a two level supply chain system is studied, in which the final demand is assumed to be fuzzy with triangular membership function. The inventory control policy of (r, Q) is followed for this system and unsatisfied demand is assumed to be back ordered. The objective is to minimize the total cost of the system, including ordering, holding and shortage costs. The model happens to be a nonlinear programming. Considering the complexity arising from the model, we also develop a genetic algorithm to obtain a near-optimal solution. The method is illustrated through some numerical examples

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P. Janavarthini and I Antonitte Vinoline. "Green inventory model for growing items with constraints under demand uncertainty." Scientific Temper 16, no. 01 (2025): 3650–55. https://doi.org/10.58414/scientifictemper.2025.16.1.10.

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An economic order quantity model for fast-growing animals is a mathematical or statistical framework used to analyze and forecast the financial aspects of maintaining and rearing animals that grow quickly while adhering to sustainable and environmentally friendly breeding practices. This model generally considers several variables and aspects involved in the production and management of these animals, such as the cost of acquisition, retention, and disposal, cost of feeding, as well as taxes on the emission of carbon dioxide and cost of shortage. Carbon dioxide production can be expressed thro

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Taleizadeh, Ata Allah. "Stochastic Multi-Objectives Supply Chain Optimization with Forecasting Partial Backordering Rate: A Novel Hybrid Method of Meta Goal Programming and Evolutionary Algorithms." Asia-Pacific Journal of Operational Research 34, no. 04 (2017): 1750021. http://dx.doi.org/10.1142/s021759591750021x.

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This study proposes a model for a multi-objective, multi-buyer, multi-vendor, multi-product and multi-constraint supply chain. The buyers’ demand rates are stochastic variables with known probability distribution functions. The classical ([Formula: see text]) inventory control system is used to manage the inventories of all buyers where the lead times are production rate dependent. Shortage is permitted and is partially backordered where the partial back ordering rate is forecasted. The model is considered as a multi-objective integer nonlinear programming problem including cost, service level

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Suripto, Adi, Julita Nahar, and Herlina Napitupulu. "Inventory Control for Eyeglass Supply Using the P Model Based on Sales Products Sales Forecasting (Case Study: Merry Optic Bandung)." International Journal of Global Operations Research 4, no. 4 (2023): 212–19. http://dx.doi.org/10.47194/ijgor.v4i4.255.

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Inventory is a resource owned by the company to be used in the production process to meet consumer demand. Companies must be able to control inventory appropriately in order to avoid excess or shortage of inventory by using inventory control. Inventory control is a necessary part of a company that requires an appropriate inventory policy to meet uncertain needs. Based on this background, this study discusses the single item inventory model in the form of photochromic glasses at Merry Optik to find the optimal total inventory cost. In meeting the uncertain needs of the company, the Additive Dec

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Suripto, Adi, Julita Nahar, and Herlina Napitupulu. "Inventory Control for Eyeglass Supply Using the P Model Based on Sales Products Sales Forecasting (Case Study: Merry Optic Bandung)." International Journal of Quantitative Research and Modeling 4, no. 4 (2023): 215–22. http://dx.doi.org/10.46336/ijqrm.v4i4.494.

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Inventory is a resource owned by the company to be used in the production process to meet consumer demand. Companies must be able to control inventory appropriately in order to avoid excess or shortage of inventory by using inventory control. Inventory control is a necessary part of a company that requires an appropriate inventory policy to meet uncertain needs. Based on this background, this study discusses the single item inventory model in the form of photochromic glasses at Merry Optik to find the optimal total inventory cost. In meeting the uncertain needs of the company, the Additive Dec

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Khan, Irfanullah, and Biswajit Sarkar. "Transfer of Risk in Supply Chain Management with Joint Pricing and Inventory Decision Considering Shortages." Mathematics 9, no. 6 (2021): 638. http://dx.doi.org/10.3390/math9060638.

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This study is the first to consider a distribution-free approach in a newsvendor model with a transfer of risk and back-ordering. Previously, in many articles, discrete demand is considered. In this model, we consider a newsvendor selling a single seasonal item with price-dependent stochastic demand. Competition in markets has forced the retailer and manufacturer to coordinate in decentralized supply chain management. A coordination contract is made between a retailer and manufacturer to overcome the randomness of demand for a short-life-cycle product. The retailer pays an additional amount pe

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9

Senbagam, K., and M. Kokilamani. "A partial back-ordering inventory model for log-gamma deteriorating items with quadratic demand and shortages." International Journal of Operational Research 44, no. 2 (2022): 210. http://dx.doi.org/10.1504/ijor.2022.123418.

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Kokilamani, M., and K. Senbagam. "A partial back-ordering inventory model for log-gamma degenerating items with quadratic demand and shortages." International Journal of Operational Research 1, no. 1 (2020): 1. http://dx.doi.org/10.1504/ijor.2020.10034681.

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