Food supply chain coordination for growing items: A trade-off between market coverage and cost-efficiency

Pourmohammad-Zia, Nadia; Karimi, Behrooz; Rezaei, Jafar

doi:10.1016/j.ijpe.2021.108289

Cited by 17 publications

(6 citation statements)

References 41 publications

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“…The problem's applicability was shown by solving the problem for a case study in the Iranian furniture supply chain. Pourmohammad-Zia et al [34] presented a new model for coordinating vendor and retailer inventory in a growing products supply chain using (vendor-managed inventory) VMI and a cost-sharing contract. Pourmohammad-Zia et al [35] also aimed to determine pricing and replenishment policies of the growing items supply chain in another work.…”

Section: Related Workmentioning

confidence: 99%

Grey Wolf Optimizer and Whale Optimization Algorithm for Stochastic Inventory Management of Reusable Products in a Two-Level Supply Chain

et al. 2023

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Product reuse and recovery is an efficient tool that helps companies to simultaneously address economic and environmental dimensions of sustainability. This paper presents a novel problem for stock management of reusable products in a single-vendor, multi-product, multiretailer network. Several constraints, such as the maximum budget, storage capacity, number of orders, etc., are considered in their stochastic form to establish a more realistic problem. The presented problem is formulated using a nonlinear programming mathematical model. The chance-constrained approach is suggested to deal with the constraints' uncertainty. Regarding the nonlinearity of the model, grey wolf optimizer (GWO) and whale optimization algorithm (WOA) as two novel metaheuristics are presented as solution approaches, and the sequential quadratic programming (SQP) exact algorithm validates their performance. The parameters of algorithms are calibrated using the Taguchi method for the design of experiments. Extensive analysis is established by solving several numerical results in different sizes and utilizing several comparison measures. Also, the results are compared statistically using proper parametric and non-parametric tests. The analysis of the results shows a significant difference between the algorithms, and GWO has a better performance for solving the presented problem. In addition, both algorithms perform well in searching the solution space, where the GWO and WOA differences with the optimal solution of the SQP algorithm are negligible.INDEX TERMS Reuse and Recovery, Chance-constrained Programming, Grey Wolf Optimizer, Whale Optimization Algorithm, Taguchi method.Despite the appearance of broad literature, the inventory management of reusable products, as an important VOLUME xx, 2023

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Section: Related Workmentioning

confidence: 99%

Grey Wolf Optimizer and Whale Optimization Algorithm for Stochastic Inventory Management of Reusable Products in a Two-Level Supply Chain

et al. 2023

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“…Sebatjane and Adetunji [8] included the effects of freshness and the level of inventory extended in the demand behavior. From a similar perspective, Pourmohammad-Zia et al [14], De-la-Cruz-Márquez et al [15], and De-la-Cruz-Márquez et al [16] supposed that the demand depends on the item's price, while Rana et al [17] assumed that the demand is a linear function of time.…”

Section: Literature Reviewmentioning

confidence: 99%

Discontinuous Economic Growing Quantity Inventory Model

Nobil

Cárdenas–Barrón

et al. 2023

Mathematics

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The classical economic growing quantity (EGQ) model is a key concept in the inventory control problems research literature. The EGQ model is commonly employed for the purpose of inventory control in the management of growing items, such as fish and farm animals, within industries such as livestock, seafood, and aviculture. The economic order quantity (EOQ) model assumes that customer demand is satisfied without interruption in each cycle; however, this assumption is not always true for some companies as they do not have continuous operations, except for item storage, during non-working times such as weekends, natural idle periods, or spare time. In this study, we extend the traditional EGQ model by incorporating the concept of working and non-working periods, resulting in the development of a new model called discontinuous economic growing quantity (DEGQ). Unlike the conventional EGQ model, the DEGQ model considers the presence of intermittent operational periods, in which the firm is actively engaged in its activities, and non-working periods, during which only storage-related operations occur. By incorporating this discontinuity, the DEGQ model provides a more accurate representation of real-world scenarios where businesses operate in a non-continuous manner, thus enhancing the effectiveness of inventory control and management strategies. The study aims to obtain the optimal number of periods in each cycle and the optimal slaughter age for the breeding items, and, subsequently, to find the optimal order size to minimize the total cost. Finally, we propose an optimal analytical procedure to determine the optimal solutions. This procedure entails finding the optimal number of periods using a closed-form equation and determining the optimal slaughter age by exhaustively searching the entire range of possible growth times.

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“…Finally, by using the option contract, they optimized the whole network by calculating the option and exercise prices. To resolve inconsistencies among a three-tier food network’s members, Pourmohammad-Zia et al ( 2021 ) addressed the issue of channel optimization using customized contracts. Their network consists of three separate members: a farm as a supplier, a food producer as a manufacturer, and a food retailer as a distributor.…”

Section: Literature Reviewmentioning

confidence: 99%

Municipal food waste recycling as an environmental strategy: a game-theoretical approach

Beheshti

Heydari

2022

Environ Sci Pollut Res

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With the expansion of urbanization, we are witnessing the growing uncertainty in municipal food demand leading to an increase in urban waste. With the motive of producing organic fertilizers and conserving the environment, expired food can be collected and recycled. This study examines the hypothesis that leasing recycling facilities from peri-urban areas, due to the ban on reproduction operations in the city centers, can manage the recycling system participants’ relationship and enhance sustainability in urban communities. The problem has been investigated under two separate sources of uncertainty, namely, quality and capacity. In the first scenario, a recycling system consisting of a commercial food service located in urban areas, a food waste collection agency, and a suburban fertilizer factory is optimized, in which the commercial food service leases the fertilizer factory’s facilities for recycling operations. In the second scenario, the two factories’ relationship, in which the first factory can rent the second factory’s facilities in case of capacity shortage, is managed through hybrid contracts and mathematical programming models. The results show that the whole system optimization and Pareto Improvement results for all members are guaranteed under proposed hybrid contracts. These conclusions can help food recycling system managers have a better relationship with other players in their supply chains and enhance their credibility for caring about the environment, social concerns, and government compliance. Supplementary Information The online version contains supplementary material available at 10.1007/s11356-022-23851-7.

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Food supply chain coordination for growing items: A trade-off between market coverage and cost-efficiency

Cited by 17 publications

References 41 publications

Grey Wolf Optimizer and Whale Optimization Algorithm for Stochastic Inventory Management of Reusable Products in a Two-Level Supply Chain

Grey Wolf Optimizer and Whale Optimization Algorithm for Stochastic Inventory Management of Reusable Products in a Two-Level Supply Chain

Discontinuous Economic Growing Quantity Inventory Model

Municipal food waste recycling as an environmental strategy: a game-theoretical approach

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