Lot-sizing and pricing decisions under attraction demand models and multi-channel environment: New efficient formulations

Terzi, Mourad; Ouazène, Yassine; Yalaoui, Alice; Yalaoui, Farouk

doi:10.1016/j.orp.2023.100269

Cited by 4 publications

(2 citation statements)

References 52 publications

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“…Yaghin et al [16] proposed a multistage model incorporating lot-sizing, pricing, and coordination decisions, utilizing a multinomial logit demand function. Terzi et al [17] focused on pricing and batch size decisions for a manufacturer selling a single product across different channels, aiming to design an optimal production plan and prices. Adeinat et al [18] studied supply chain coordination using a nonlinear integer optimization model, emphasizing the importance of considering varying sales prices for geographically dispersed retailers with distinct cost structures and marketing strategies.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimizing Inventory and Pricing for Substitute Products with Soft Supply Constraints

Meza,

Latorre,

Bonacic

et al. 2024

Mathematics

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This paper presents a profit optimization model for substitute products in a competitive, time-sensitive market with scarcity and shifting user preferences. The model maximizes profit, considering production costs and inventory maintenance. It uses a discrete choice model to represent demand, sensitivity to price, availability, and changing preferences. A two-phase PSO-type metaheuristic solution tackles the nonlinear, recursive model, efficiently managing inventories and evolving consumer preferences. The model integrates production decisions, inventories, and sales prices, considering scarcity conditions and user preferences. It uses a multinomial logit for the consumers’ demand function with soft exogenous constraints, which influence utility and change consumption preferences and choices. This research offers a tool for companies to manage stock, production, and pricing in a context where goods are substitutes, providing a new perspective on business strategy.

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Section: Literature Reviewmentioning

confidence: 99%

Optimizing Inventory and Pricing for Substitute Products with Soft Supply Constraints

Meza,

Latorre,

Bonacic

et al. 2024

Mathematics

View full text Add to dashboard Cite

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“…The demand function depends on the marketing and operational activities of the company. Several factors that affect the demand function include price, rebate, lead time, space, quality, and advertising [5]. In other words, the quantity of demand is dynamic, but the company uses a static inventory method.…”

Section: Introductionmentioning

confidence: 99%

Inventory planning of raw material using Silver Meal and Wagner Whitin Algorithm

Asmal,

Kurniawan,

Indah

et al. 2023

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Material inventory planning is needed in the industrial world to advance a business because it will affect the costs incurred, the production process, and the profits generated by the company. The company has a problem that occurs when the control of raw material inventory could be more optimal. It recorded that throughout 2021, 33.647,18 meters of fabric pants were stored in warehouses. This is influenced by several factors, including the calculation of safety stock, lead time due to uncertain logistics and the selection of methods that have not been maximized. The novelty of this research is that it discusses inventory planning, the methods used are Silver Meal Algorithm and the Wagner Whitin Algorithm. Data processed is on demand for clothes and jeans throughout 2021. The results show that the Silver Meal is suitable for five materials, and the Wagner Whitin Algorithm is on one material. Companies can use both methods for each raw material. Nevertheless, it is more optimal if the company utilizes only one method for procurement of raw materials, the Silver Meal because when it is used in the long term, the cost of raw materials is less than the Wagner Whitin Algorithm. The Siler Meal’s total inventory cost is Rp. 138.281.497, and the Wagner Whitin Algorithm is Rp. 170.010.097

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A choice-based approach to dynamic capacitated multi-item lot sizing with demand uncertainty

Dunke,

Nickel

2025

Applied Mathematical Modelling

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Lot-sizing and pricing decisions under attraction demand models and multi-channel environment: New efficient formulations

Cited by 4 publications

References 52 publications

Optimizing Inventory and Pricing for Substitute Products with Soft Supply Constraints

Optimizing Inventory and Pricing for Substitute Products with Soft Supply Constraints

Inventory planning of raw material using Silver Meal and Wagner Whitin Algorithm

A choice-based approach to dynamic capacitated multi-item lot sizing with demand uncertainty

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