Smart Sustainable Production and Distribution Network Model for City Multi-Floor Manufacturing Clusters

This study focuses on management ways within a city multi-floor manufacturing cluster (MFMC). The application of MFMC in megapolises is closely related to the problem of urban spatial development and the problem of matching transport and logistics services. The operation of the MFMC depends on the efficiency of production and transport management considering technical, economic, end environmental factors. Therefore, conditions affecting decision-making in the field of production planning by MFMCs and accompanying transports within the agglomeration area with the use of the production-service platform were presented. Assumptions were created for the decision model, allowing for the selection of partners within the MFMC to execute the production order. A simplified decision model using the Hungarian algorithm was proposed, which was verified with the use of test data. The model is universal for material flow analysis and is an assessments basis for smart sustainable supply chain decision-making and planning. Despite the narrowing of the scope of the analysis and the simplifications applied, the presented model using the Hungarian algorithm demonstrated its potential to solve the problem of partner selection for the execution of the contract by MFMC.

Advancements in Mass Rearing the Air Potato Beetle Lilioceris cheni

The air potato beetle, Lilioceris cheni Gressitt and Kimoto (Coleoptera:Chrysomelidae), is a successful biological control agent of the air potato vine, Dioscorea bulbifera L. (Dioscoreales: Dioscoreaceae), in the southern United States. Lilioceris cheni is currently being mass-reared by the Florida Department of Agriculture and Consumer Services Division of Plant Industry (FDACS-DPI) for biological control releases and research. The facility rears and releases over 50,000 adult beetles annually at approximately 1000 different locations. In addition to data on beetle production and distribution, studies on alternative larval and adult diets are described. Adults fed bulbils as the sole food source had reduced life spans compared with beetles given fresh air potato leaves. Adults survived without air potato leaves or bulbils for several days to two weeks depending on availability of leaves at emergence. Larvae did not survive on a modified artificial Colorado potato beetle diet containing fresh air potato vine leaves. Adults survived while consuming artificial diet but ceased oviposition. They, however, resumed egg laying less than one week after being returned to a diet of fresh air potato vine leaves.

Priority and age specific vaccination algorithm for the pandemic diseases: a comprehensive parametric prediction model

Background There have been several destructive pandemic diseases in the human history. Since these pandemic diseases spread through human-to-human infection, a number of non-pharmacological policies has been enforced until an effective vaccine has been developed. In addition, even though a vaccine has been developed, due to the challenges in the production and distribution of the vaccine, the authorities have to optimize the vaccination policies based on the priorities. Considering all these facts, a comprehensive but simple parametric model enriched with the pharmacological and non-pharmacological policies has been proposed in this study to analyse and predict the future pandemic casualties. Method This paper develops a priority and age specific vaccination policy and modifies the non-pharmacological policies including the curfews, lockdowns, and restrictions. These policies are incorporated with the susceptible, suspicious, infected, hospitalized, intensive care, intubated, recovered, and death sub-models. The resulting model is parameterizable by the available data where a recursive least squares algorithm with the inequality constraints optimizes the unknown parameters. The inequality constraints ensure that the structural requirements are satisfied and the parameter weights are distributed proportionally. Results The results exhibit a distinctive third peak in the casualties occurring in 40 days and confirm that the intensive care, intubated, and death casualties converge to zero faster than the susceptible, suspicious, and infected casualties with the priority and age specific vaccination policy. The model also estimates that removing the curfews on the weekends and holidays cause more casualties than lifting the restrictions on the people with the chronic diseases and age over 65. Conclusion Sophisticated parametric models equipped with the pharmacological and non-pharmacological policies can predict the future pandemic casualties for various cases.

Public Health Roles in Addressing Commercial Determinants of Health

The shared challenges posed by the production and distribution of health-harming products have led to growing recognition of the need for policy learning and transfer across problems, populations, and social contexts. The commercial determinants of health (CDoH) can serve as a unifying concept to describe the population health consequences arising from for-profit actors and activities, along with the social structures that sustain them. Strategies to mitigate harms from CDoH have focused on behavioral change, regulation, fiscal policies, consumer and citizen activism, and litigation. While there is evidence of effective measures for each strategy, approaches that combine strategies are generally more impactful. Filling gaps in evidence can inform ways of adapting these strategies to specific populations and social contexts. Overall, CDoH are addressed most effectively not through siloed efforts to reduce consumption of health-harming products, but instead as a set of integrated strategies to reduce exposures to health-harming commercial actors and activities. Expected final online publication date for the Annual Review of Public Health, Volume 43 is April 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Integrating Mathematical and Simulation Approach for Optimizing Production and Distribution Planning With Lateral Transshipment in a Supply Chain

Supply chain planning aims to maximize the chain's profit and find an effective way to integrate production and distribution. A mathematical and simulation-based optimizations are two common disciplines in which this study integrates both of them together to consolidate their advantages. A mathematical model is formulated to find an optimal production-distribution plan. Then, the result is fed into a simulation model operating under uncertainty to verify the feasibility of the plan. Our integrated approach tries to find a feasible plan that satisfies both required customer service level and makespan limitation where safety stock is used to hedge against uncertainties, and lateral transshipment is used for emergency measures against excessive fluctuation of customer demand. A case study that optimizes the profit of an entire chain is used to demonstrate the algorithm. The outcomes of the study show that our proposed approach can yield feasible results (with near or even optimal solution) with much faster computational time as compared to the traditional simulation-based optimization.

Optimizing the distribution of food based on the vogel method

Currently, numerous people still suffer from hungry and food insecurity. To solve the problem of production and distribution of food, we firstly set up a quantitative examination on food system from four dimensions, including equitability, efficiency, stability, and sustainability. As we choose 2 to 4 indexes for each dimension, we applied entropy weight method to decide the weight of each index. Secondly, we used BP neural network by MATLAB to simulate the rising trend of population based on the data of population in recent years, and predicted the population until 2030, which is about 8.5 million. In the same way, we forecast that food yield will maintain at 1.63*109 litres approximately till 2030 in the whole world. With certain assumptions, we set a model about Transportation Problem, which help us optimize the food transportation system at present. We use the Vogel method to calculate the results and chose 9 ports for exporting countries and 10 ports for importing countries. After that, we calculate the minimum costs of transportation all over the world is $4979628112343. At the end of our paper, we make sensitively analysis, the result of which proves that our model has a good stability.