Multi-choice and stochastic programming for transportation problem involved in supply of foods and medicines to hospitals with consideration of logistic distribution

Mahapatra, Deshabrata Roy; Panda, Subhasis; Sana, Shib Sankar

doi:10.1051/ro/2019050

Cited by 17 publications

(6 citation statements)

References 9 publications

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“…They used a set of metaheuristic and hybrid algorithms in various test problems along with data from a real-world case study to confirm the model's efficiency. Finally, they came to the conclusion that sales agencies and customers increase total revenue and the number of the collected returned products Mahapatra et al [39], investigated the problem of food and medicine supply to hospitals. They used a stochastic programming model containing the parameters that follow the logistic distribution and used binary variables in the objective function coefficients.…”

Section: Literature Reviewmentioning

confidence: 99%

A New Wooden Supply Chain Model for Inventory Management Considering Environmental Pollution: A Genetic algorithm

Babaeinesami

Ghasemi

Chobar

et al. 2022

Foundations of Computing and Decision Sciences

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Nowadays, companies need to take responsibility for addressing growing markets and the growing expectations of their customers to survive in a highly competitive context that is progressing on a daily basis. Rapid economic changes and increasing competitive pressure in global markets have led companies to pay special attention to their supply chains. As a result, in this research, a mathematical model is proposed to minimize closed loop supply chain costs taking into account environmental effects. Thus, suppliers first send wood as raw materials from forests to factories. After processing the wood and turning it into products, the factories send the wood to retailers. The retailers then send the products to the customers. Finally, customers send returned products to recovery centers. After processing the products, the recovery centers send their products to the factories. The considered innovations include: designing a supply chain of wood products regarding environmental effects, customizing the genetic solution approach to solve the proposed model 3-Considering the flow of wood products and determining the amount of raw materials and products sent and received.

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Section: Literature Reviewmentioning

confidence: 99%

A New Wooden Supply Chain Model for Inventory Management Considering Environmental Pollution: A Genetic algorithm

Babaeinesami

Ghasemi

Chobar

et al. 2022

Foundations of Computing and Decision Sciences

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“…Shib studied the optimal pricing and green quality strategy of members under decentralised and centralised decision-making in two-level supply chain [15]. Mahapatra et al introduced stochastic mathematical programming into the model and analyzed the problem of cost minimization [16]. Das et al studied the strategy selection problem of minimizing the expected total cost of members under the condition of minimizing the installation cost in a multilevel green supply chain [17].…”

Section: Literature Reviewmentioning

confidence: 99%

Dynamic Strategy Analysis of Emission-Reduction Technology Investment Based on Pricing Coordination Mechanism under Cost Subsidy Policy

Guan

Hou

Sun

2022

Mathematical Problems in Engineering

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Climate change has become a pressing concern in recent decades, and the reduction of greenhouse gas emissions is now recognised as an important strategy for redressing that concern. The carbon trading system and the provision of low-carbon cost subsidies are essential measures for reducing emissions in various countries and regions. In this context, we study the investment decision of emission reduction technology in a supply chain composed of a leading manufacturer and a following retailer under the cost subsidy policy of carbon emission reduction. We consider consumers’ low-carbon preferences and utilise differential game theory and dynamic optimisation technology to construct the investment game model under a cost subsidy policy affecting manufacturers and retailers. We then identify the equilibrium strategy and the evolution path of emission reduction, profit, and social welfare according to the interest’s composition and game relationship of each stakeholder. We also use numerical simulation method to analyse the evolution path of the system and the sensitivity of related parameters, so as to determine the influence of related parameters on the structure and path of the system. We conclude that under the current carbon trading system, the cost subsidy policy implemented by the government plays a positive role in promoting emission reduction investment and corporate profits of supply-chain-related enterprises.

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“…Then substitute this Nash equilibrium into the penultimate stage, find the optimal decision of other participants in this stage, update the Nash equilibrium, and reciprocate. This process will continue until the analysis of the game's first stage is completed or the first decision node of the game tree is reached, and the result is the perfect Nash equilibrium of the sub‐game of the whole game (Mahapatra et al, 2020; Sana, 2021b).…”

Section: Construction Of a Retailer Supply Chain Benefit Distribution...mentioning

confidence: 99%

Supply chain benefit distribution and economic sustainable development by Shapley model in smart city

2022

Expert Systems

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With the rapid development of the Internet of Things, the Internet, and artificial intelligence, people's consumption patterns have undergone major changes. Consumers' consumption channels are no longer monolithic. A new retail model was born. Additionally, how to improve the revenue of the new retail supply chain and the scientific and reasonable distribution of revenue is particularly important. On this background, the concept of new retail is defined, and the principle of supply chain synergy is analysed. Stackelberg game is used to analyse and determine the optimal selling and wholesale prices of retailers and suppliers in the supply chain. The defects of the traditional supply chain model and the necessity of optimization are further analysed and demonstrated. Because of the traditional retail supply chain, new retail channels are introduced, and the second‐order supply chain is established. New retail channels are added to the supply chain, and the profitability before and after the addition is analysed. Stackelberg game and Shapley value method are used for modelling. Finally, Matlab is used for numerical analysis. The results show that adding new retail channels to the traditional supply chain dominated by suppliers will increase the market share of products. The market share f is positively correlated with the profits of suppliers and retailers. Under the multi‐channel retail model, product demand and supply chain profits are higher than a single channel. The Shapley value method can enable supply chain members to obtain corresponding benefits on their input, thereby achieving a win–win situation for retail supply chain members.

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Multi-choice and stochastic programming for transportation problem involved in supply of foods and medicines to hospitals with consideration of logistic distribution

Cited by 17 publications

References 9 publications

A New Wooden Supply Chain Model for Inventory Management Considering Environmental Pollution: A Genetic algorithm

A New Wooden Supply Chain Model for Inventory Management Considering Environmental Pollution: A Genetic algorithm

Dynamic Strategy Analysis of Emission-Reduction Technology Investment Based on Pricing Coordination Mechanism under Cost Subsidy Policy

Supply chain benefit distribution and economic sustainable development by Shapley model in smart city

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