Optimal policies for integrated inventory system under fuzzy random framework

Soni, Hardik; Patel, Kamlesh A.

doi:10.1007/s00170-014-6695-5

Cited by 11 publications

(3 citation statements)

References 31 publications

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“…Many scholars have only briefly processed the uncertain demand in the supply chain and researched this basis. Some researchers focused on manufacturing supply chain [17][18][19][20][21][22][23]. For example, the research by Rong et al [17] studied the inventory model with fuzzy stochastic demand, while Sadeghi et al [21] established a supplier inventory management model under uncertain demand constraints, under the area of fuzzy demand, and designed the cost allocation and quality control contract.…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy Demand-Profit Model for the Sustainable Development of Electric Vehicles in China from the Perspective of Three-Level Service Chain

Chen

Xing

et al. 2020

Sustainability

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Electric vehicles have great potential in dramatically reducing environmental pollution, which has become an important strategic direction for future sustainable development. With the influence of policy support and market, the construction of new energy supply infrastructure in China has achieved remarkable outcomes. However, according to the actual use of the new energy supply facilities, there is still a severe imbalance between long queues and unattended charging stations in some areas. Therefore, this paper aims to establish a fuzzy demand-profit model to accurately optimize new energy supply from the perspective of the three-level service chain. Then, based on authoritative historical sales data of electric vehicles in China in 2011–2018, the model is used to analyze the fuzzy demand for electric vehicle charging capacity. The research results indicate that the fuzzy demand-profit model is an effective tool to promote the coordination of new energy supply, which will provide support for the sustainable development of electric vehicles in China.

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Section: Introductionmentioning

confidence: 99%

A Fuzzy Demand-Profit Model for the Sustainable Development of Electric Vehicles in China from the Perspective of Three-Level Service Chain

Chen

Xing

et al. 2020

Sustainability

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“…Therefore, this paper proposes to optimize the location of distribution centres through genetic algorithm, and then further optimize the distribution routes through improved ant colony algorithm. Under the mode of supply chain management, the competition among individual enterprises is transformed into the competition among supply chains [16,17]. To enhance the overall competitiveness of the supply chain, we should not only provide the best service, but also strive to maintain the most reasonable cost.…”

Section: Introductionmentioning

confidence: 99%

Supply Chain Joint Inventory Management and Cost Optimization Based on Ant Colony Algorithm and Fuzzy Model

Hou

Xia

et al. 2019

Teh. vjesn.

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With the advancement of the marketization process, inventory management has transformed from a single backup protection function to an essential function for enterprises, which helps to survive and develop. Inventory control in supply chain management is the important content of supply chain management. The new management mode makes inventory management present many new characteristics and problems compared with traditional inventory management. From the view of system theory and integration theory, it is imperative to reexamine the problem of inventory control, put forward new inventory management strategies adapted to integrated supply chain management, and improve the integration of the whole supply chain, which can enhance the agility and market response speed of enterprises. Based on the in-depth study of the joint inventory management model, this paper analyzed the current situation of the joint inventory management to optimize the inventory. In view of the achievements and shortcomings of the current research, a more systematic and improved optimization model of the supply chain inventory was proposed by using the basic ideas of ant colony algorithm and fuzzy model.

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“…Lin (2008) assumed the lead-time plus one period's demand to be a fuzzy random variable in the periodic review system while assuming the backorder rate to be fuzzy. In the context of fuzzy random integrated inventory models several researchers viz., Chakraborty et al (2015), Das et al (2015), Soni and Patel (2015), Kumar et al (2014), Nagar et al (2014) and Wu (2014) etc. have also made significant contributions in recent times.…”

Section: Introductionmentioning

confidence: 99%

A fuzzy random integrated inventory model with imperfect production under optimal vendor investment

Dey

2017

Oper Res Int J

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This article investigates an integrated single-vendor single-buyer production-inventory model with imperfect production under a mixed environment where fuzziness and randomness appear simultaneously. The paper focuses on representing the annual customer demand as a triangular fuzzy number together with an associated probability. A further assumption is that the production process is not perfect and goes 'out-of-control' with a certain probability. This causes the vendor, in particular, and the supply chain, in general, to incur an additional warranty cost and also leads to the production of larger batch sizes to compensate the imperfection. In order to avoid these extra costs, the vendor makes an investment to improve the production process quality and hence reduce the number of defective items produced. The expected annual integrated total cost is derived with these assumptions under the n-shipment policy. A methodology is proposed to minimize crisp equivalent of the expected annual integrated total cost so as to obtain the optimal values of the number of shipments, the shipment lot-size, the safety stock factor and the 'out-of-control' probability. A numerical example is given to illustrate this proposed methodology and to highlight the advantage of investing in reducing the probability of the production process going 'out-of-control'.

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Optimal policies for integrated inventory system under fuzzy random framework

Cited by 11 publications

References 31 publications

A Fuzzy Demand-Profit Model for the Sustainable Development of Electric Vehicles in China from the Perspective of Three-Level Service Chain

A Fuzzy Demand-Profit Model for the Sustainable Development of Electric Vehicles in China from the Perspective of Three-Level Service Chain

Supply Chain Joint Inventory Management and Cost Optimization Based on Ant Colony Algorithm and Fuzzy Model

A fuzzy random integrated inventory model with imperfect production under optimal vendor investment

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