Robust design and planning for a multi-mode multi-product supply network: a dairy industry case study

Jouzdani, Javid; Fathian, Mohammad; Makui, Ahmad; Heydari, Mehdi

doi:10.1007/s12351-018-0395-0

Cited by 15 publications

(14 citation statements)

References 66 publications

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“…The closer it's connected to, the better it becomes. Apart from the connectivity issue, less distance among the food supply chains helps to sustain the better freshness of food and lower the risk of being perished (Pal and Kant, 2017;Jouzdani et al, 2020;Govindan et al, 2014). Less distance also leads to less energy used (Rossi et al, 2020;Grebitus et al, 2013).…”

Section: Robust Optimum Rice Supply Chain Strategymentioning

confidence: 99%

Designing a food supply chain strategy during COVID-19 pandemic using an integrated Agent-Based Modelling and Robust Optimization

Achmad¹,

Chaerani²,

Perdana³

2021

Heliyon

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Section: Robust Optimum Rice Supply Chain Strategymentioning

confidence: 99%

Designing a food supply chain strategy during COVID-19 pandemic using an integrated Agent-Based Modelling and Robust Optimization

Achmad¹,

Chaerani²,

Perdana³

2021

Heliyon

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“…According to the obtained results, some analyses were performed on critical parameters. In a recent study, Jouzdani et al [21] presented a mathematical model for robust supply chain network design and conducted a study of a real-world case of dairy industry. Their objective was to minimize the net present value of the total cost comprised of total fixed investment cost, the expected transportation cost, and the expected demand and supply violation costs.…”

Section: Uncertainty In the Supply Chainmentioning

confidence: 99%

Customer relationship management and new product development in designing a robust supply chain

2020

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New product development is a basic requirement for any company to survive in the competitive market. Most of the organizations realized that relying solely on the traditional competitive levers, such as increasing the quality, reducing costs, and distinguished provision of goods and services is not enough anymore. In addition to the aforementioned competitive advantages, a company needs to introduce new products and out-phase the old ones at the right time. In this research, the design of a supply chain network considering new product development is investigated. Here, the notion of customer relationship management is incorporated into the proposed mathematical model. Moreover, product demand that is inherently uncertain in the real situations is embedded in the proposed robust model. Objectives of new products development, and customer satisfaction along with maximization of the profit is considered in the model. Moreover, an improved multi-choice goal programming method is implemented to solve the model. Finally, the model performance is evaluated for a real-world case.

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“…A hybrid RO model is proposed to control various forms of uncertainty, including randomness, epistemic, and deep uncertainty. Jouzdani et al [52] studied a robust supply chain (RSC) model. They considered transport costs, demand, and supply as uncertainty values.…”

Section: The Robust Optimization In Related Mathematical Models In To Biofuelsmentioning

confidence: 99%

A Robust Approach for Cooperation and Coopetition of Bio-Refineries Under Government Interventions by Considering Sustainability Factors

et al. 2020

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The most significant international issue affecting society and the economy today is energy. Also, addressing sustainability issues, including environmental, economic, and social issues are the main goals of governments in developing and developed countries. Therefore, it has been in the interest of governments to consider strategies that could move the energy industry, especially fuel, towards clean fuel production. In this paper, the effect of government financial interventions under the coalition of bio-refineries to achieve sustainability goals has been studied. The proposed nonlinear model aims to obtain the optimum amount of biofuel production under the conditions of the cooperation of bio-refineries and government financial interventions. On the other hand, government sustainability goals are considered as functions related to economic, social, and environmental issues. Mulvey's robust approach is employed for controlling model uncertainties. For finding the best tariff policy, the MULTIMOORA approach is used by considering sustainability considerations, and the Best-Worst Approach is followed in obtaining the weights of the criteria. Furthermore, for the best tariff policy in a general coalition, sharing the profits among the biorefineries as players in a cooperative game, fair profit distribution methods were applied. Finally, managerial results were presented by a sensitivity analysis of the tariff parameter.

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Robust design and planning for a multi-mode multi-product supply network: a dairy industry case study

Cited by 15 publications

References 66 publications

Designing a food supply chain strategy during COVID-19 pandemic using an integrated Agent-Based Modelling and Robust Optimization

Designing a food supply chain strategy during COVID-19 pandemic using an integrated Agent-Based Modelling and Robust Optimization

Customer relationship management and new product development in designing a robust supply chain

A Robust Approach for Cooperation and Coopetition of Bio-Refineries Under Government Interventions by Considering Sustainability Factors

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