A reverse logistics inventory model with multiple production and remanufacturing batches under fuzzy environment

Sharma, Swati; Singh, S.R.; Kumar, Mohit

doi:10.1051/ro/2021021

Cited by 9 publications

(3 citation statements)

References 33 publications

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“…We solved both models and obtained the optimum solution. After considering the parameters that provide us with the optimal solution, we created surfaces for both models, which are demonstrated in Example 4.4 This test example is taken from Swati et al [27]. We assume that the demands in the primary and secondary markets are D p = 1500 and D r = 2500, respectively, over cycle T .…”

Section: Case I (mentioning

confidence: 99%

Optimizing Inventory Management through Multiobjective Reverse Logistics with Environmental Impact.

Wadhawan,

Rizvi

2024

Preprint

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We present novel mathematical models for inventory management within a reverse logistics system. Technological advancements, sustainability initiatives, and evolving customer behaviours have significantly increased the demand for repaired products. Our models account for varying demand levels for newly produced and repaired items. To optimize overall costs with constrained scenarios, we formulated mixed integer programming problems. Solution procedures for the proposed problems are introduced, and the accuracy of these solutions has been validated through numerical experiments. Additionally, we address the cost of waste disposal as an environmental concern. This paper develops a multiobjective mathematical model and provides an algorithm for the Pareto solution. Various scalarization techniques are utilized to identify the Pareto front, and a comparison of these techniques is presented.

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Section: Case I (mentioning

confidence: 99%

Optimizing Inventory Management through Multiobjective Reverse Logistics with Environmental Impact.

Wadhawan,

Rizvi

2024

Preprint

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“…They included reliability-induced demand and fuzzy parameters with a graded mean integration method for defuzzification for the model in a vague sense. Sharma et al [36] described a reverse logistics inventory model in which production and remanufacturing are both discussed in a fuzzy environment. They provided an example to satisfy the result in both environments.…”

Section: Inventory Model Based On Fuzzy Logicmentioning

confidence: 99%

Joint replenishment strategy for deteriorating multi-item through multi-echelon supply chain model with imperfect production under imprecise and inflationary environment

Padiyar

vandana²,

Bhagat

et al. 2022

RAIRO-Oper. Res.

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As the industry environment becomes more competitive, the supply chain management for multi items has become an essential part of the industries. In this paper, a multi-echelon inventory model for deteriorating multi items with imperfect production has been developed under the environment of fuzzy and inflation. In this study, a single producer, multi-supplier, and multi-retailer are considered from the integrated point of view. Here, the producer only produces the retailer's need to have a tremendous advantage and minimum loss. It is observed that the inflation rate is almost uncertain for deteriorating goods in every supply chain. In this paper, the inflation rate is taken as a triangular fuzzy number, and the centroid method is used to defuzzify the profit function. The shortage is not allowed in any part, an imperfect production process is also considered, but it is not reworkable in this supply chain. Different inflation rates are considered for additional items because inflation has strained the most vulnerable consumers (the daily wage earners), who mainly demand goods in short and small quantities. This entire model is developed based on the retailer's demand and due to which the profit potential is maximized. The central premise of this study is to get maximum benefit by creating a production model for deterioration items. Finally, a numerical example and sensitivity analysis illustrate the present study. It is also observed that if the number of shipments taken from the supplier increases during the production period, the total profit increases in crisp and fuzzy. If a positive change occurs in the number of shipments received through the producer to the retailer, then the fuzzy model has positive, but a slight negative change occurs in the crisp model. This paper shows the effect of a joint replenishment policy for multi-item compared with the independent approaches.

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“…Liu et al [29] work out the optimal production and pricing strategy for the monopoly manufacturers engaged in remanufacturing by solving the convex programming model. Sharma et al [40] study the optimal reverse logistics inventory model when considering several remanufacturing batches. In addition, the remanufacturing strategy under the carbon tax policy has also been widely studied by scholars.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal channel selection of remanufacturing firms with considering asymmetric information in platform economy

Cao

et al. 2022

RAIRO-Oper. Res.

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With the rapid development of e-commerce platforms, and considering that online return rate is relatively high and third-party stores on e-commerce platforms need to adopt third-party logistics, thus remanufacturing firms face the challenge of deciding whether to enter e-commerce platforms. To address this challenge, our paper considers a remanufacturing firm, an e-commerce platform, and a third-party logistics provider. Moreover, according to whether the remanufacturing firm enters the platform and whether the information is symmetrical, we develop three theoretical models: Model NP (the firm doesn’t enter platform), Model YP (the firm enters platform with symmetric information) and Model YA (the firm enters platform with asymmetric information). Some main insights are obtained. We find that whether remanufacturing firms should enter the platform depends not only on the annual service fee charged by the platform but also on the carbon tax price set by the government. Interestingly, improved consumers’ satisfaction with online remanufactured products is not necessarily conducive to enhancing the willingness of remanufacturing firms to enter e-commerce platforms. Finally, we find that when the production quantity constraint of the remanufactured products is not binding, if the actual production cost of remanufactured products is high and consumers’ satisfaction with offline remanufactured products is relatively low, information disclosure will benefit remanufacturing firms, however, when the production quantity constraint of the remanufactured products is binding, information disclosure has no impact on the remanufacturing firms’ profits and operational decisions.

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A reverse logistics inventory model with multiple production and remanufacturing batches under fuzzy environment

Cited by 9 publications

References 33 publications

Optimizing Inventory Management through Multiobjective Reverse Logistics with Environmental Impact.

Optimizing Inventory Management through Multiobjective Reverse Logistics with Environmental Impact.

Joint replenishment strategy for deteriorating multi-item through multi-echelon supply chain model with imperfect production under imprecise and inflationary environment

Optimal channel selection of remanufacturing firms with considering asymmetric information in platform economy

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