“…(5) e Cost and Experience of Consumers. In addition to paying a higher shopping price, physical retail consumers also need to pay transaction costs such as transportation and time, but they can enjoy the derivative value of entertainment and social shopping, and the scene features are apparent; in contrast, online retail can greatly save consumption [11].…”
In order to study the special production, distribution, transportation, and sales of short-lived and short-lived multimedia products, this paper studies the cost and benefit optimization of a three-level supply chain network consisting of a supplier-producer-distribution center. Simultaneously, to effectively describe the actual inventory level of the retailer’s multimedia products, this paper introduces a new nonlinear function to define the real-time inventory of multimedia products to establish a biobjective nonlinear mixed-integer programming model to estimate the inventory. The research results show that the model established in this paper can not only provide the overall cost and optimal decision-making plan for the short-lived dairy supply chain but also the design method is better than the standard constraint method. Relevant research results have important potential guiding significance for research and design of supply chain network structure, measurement of multimedia product inventory levels, and improvement of customer satisfaction. The optimized design of the logistics supply chain of multimedia products with short life cycle under the background of new retail is beneficial.
“…(5) e Cost and Experience of Consumers. In addition to paying a higher shopping price, physical retail consumers also need to pay transaction costs such as transportation and time, but they can enjoy the derivative value of entertainment and social shopping, and the scene features are apparent; in contrast, online retail can greatly save consumption [11].…”
In order to study the special production, distribution, transportation, and sales of short-lived and short-lived multimedia products, this paper studies the cost and benefit optimization of a three-level supply chain network consisting of a supplier-producer-distribution center. Simultaneously, to effectively describe the actual inventory level of the retailer’s multimedia products, this paper introduces a new nonlinear function to define the real-time inventory of multimedia products to establish a biobjective nonlinear mixed-integer programming model to estimate the inventory. The research results show that the model established in this paper can not only provide the overall cost and optimal decision-making plan for the short-lived dairy supply chain but also the design method is better than the standard constraint method. Relevant research results have important potential guiding significance for research and design of supply chain network structure, measurement of multimedia product inventory levels, and improvement of customer satisfaction. The optimized design of the logistics supply chain of multimedia products with short life cycle under the background of new retail is beneficial.
“…It should be noted that on the issue of green and sustainable CLSC, uncertainty in demand has been less discussed. Using a stochastic mixed-integer LP model, Guarnaschelli et al (2020) developed a diary SCN. The network was two-stage and covered the production and distribution.…”
Considering supply chain efficiency during the network design process significantly affect chain performance improvement. In this paper, the design process of a sustainable lead-acid battery supply chain network was addressed. Because the design of such networks always involves great computational complexity, in the present study, a two-stage model was proposed to overcome this issue. In the first stage, candidate sites of recycling centers were identified using data envelopment analysis (DEA) and based on their efficiency scores. Unlike the previous studies, not only economic criteria but also technical and geographical criteria were employed to select these locations. In the second stage, a bi-objective programming model was developed to simultaneously determine the tactical and strategic decisions of the chain. Since some data was subject to uncertainty, a robust possibilistic approach was presented. The model ensures that the resulting structure for the chain will be robust to noise and disturbance in parameters. A life cycle assessment model based on the ReCiPe 2008 method was developed in SimaPro software. To evaluate the applicability of the presented method, a case study in the automotive industry was used. The results of implementing the DEA method showed that from among 23 available locations, 11 potential places were selected for construct recycling centers. The final results showed that the inappropriate potential locations of recycling centers were eliminated, and the complexity of the mathematical model proposed in the second stage was reduced. The obtained results of environmental protection costs revealed that this criterion changed from 0 to 8,333,874,332. Moreover, the first objective function resulted in a centralized network to minimize costs, and in contrast, the second objective function tended to decentralize the network to minimize environmental impacts.
“…They took into account the PDP and presented a bi-objective robust model, maximizing the delivered platelet units' freshness while minimizing the cost. Guarnaschelli et al [21] considered the PDP for a two-level dairy SC. They presented an integrated two-stage stochastic model.…”
This paper develops a bi-objective optimization model for the integrated production-distribution planning of perishable goods under uncertainty. The first objective seeks to maximize the profit in a specific supply chain with three levels: plants, distribution centers, and in the last level, customers. Since transportation is one of the major pollution sources in a distribution problem, the second objective is to minimize their emission. In the considered problem, the decisions of production, location, inventory, and transportation are made in an integrated structure. In developing the demand function, the effect of the product freshness and the price is formulated. Besides, to encourage customers, three strategies, including perished product return, discount, and credit policies, are proposed. Also, robust optimization is utilized to cope with the operational uncertainty of some cost parameters. To prove the applicability of this research and the feasibility of the environmental aspect, a case study is conducted. Finally, the numerical computations on the case study provide a trade-off between the environmental and economic goals and indicate a 37.5 percent increase in the profit using the developed model.
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