Daily Commodities Research Articles

Research on automatic pricing and replenishment decision of vegetable commodities based on optimization model

In fresh food superstores, because vegetable commodities are characterized by perishability and high value loss, superstores usually replenish daily commodities based on the historical sales and demand of various commodities. In order to make the optimal replenishment decision, this paper firstly firstly uses Matlab fitting toolbox to get the functional relationship between the total sales volume and the cost-plus pricing, so as to analyze the relationship between the total sales volume and the cost-plus pricing of each vegetable category, and then takes the category as a unit, and then constructs the optimization model, and solves the optimal replenishment volume and pricing strategy. The replenishment decision is obtained by filtering out the most profitable single product among the factors of unit price, sales volume, and total replenishment volume through objective planning under the constraints of considering the single product category and minimum display volume.

The War between Russia and Ukraine and its Impact on Bangladesh: A Comprehensive Study

This comprehensive study investigates the impact of the ongoing war between Russia and Ukraine on the Bangladeshi economy, focusing on various dimensions including trade disruptions, energy and commodity price shocks, remittances, foreign direct investment (FDI), macroeconomic stability, and daily commodities. Drawing on an extensive literature review, the study synthesizes existing research on the economic consequences of geopolitical conflicts, with particular attention to the multifaceted effects of the Russia-Ukraine war on indirectly involved countries like Bangladesh. The analysis reveals that the conflict has led to significant challenges in areas such as trade, energy and commodity prices, remittances, FDI, and macroeconomic stability, with potential consequences for the Bangladeshi economy, including slowed growth, increased inflation, and currency fluctuations. Furthermore, the study highlights the impact of the conflict on the prices and availability of daily commodities, which can affect the cost of living, purchasing power, and overall quality of life. Based on these findings, the study offers recommendations for policymakers and stakeholders to adopt strategies that mitigate the adverse effects of the conflict, promote economic resilience, and ensure the well-being of the population. This study contributes to the understanding of the economic implications of geopolitical conflicts and serves as a valuable resource for policymakers, researchers, and practitioners interested in the broader effects of the Russia-Ukraine war on global economies.

Aluminum as a Possible Cause Toward Dyslipidemia.

Aluminum, the third most abundant metal present in the earth's crust, is present almost in all daily commodities we use, and exposure to it is unavoidable. The interference of aluminum with various biochemical reactions in the body leads to detrimental health effects, out of which aluminum-induced neurodegeneration is widely studied. However, the effect of aluminum in causing dyslipidemia cannot be neglected. Dyslipidemia is a global health problem, which commences to the cosmic of non-communicable diseases. The interference of aluminum with various iron-dependent enzymatic activities in the tri-carboxylic acid cycle and electron transport chain results in decreased production of mitochondrial adenosine tri-phosphate. This ultimately contributes to oxidative stress and iron-mediated lipid peroxidation. This mitochondrial dysfunction along with modulation of α-ketoglutarate and L-carnitine perturbs lipid metabolism, leading to the atypical accumulation of lipids and dyslipidemia. Respiratory chain disruption because of the accumulation of reduced nicotinamide adenine di-nucleotide as a consequence of oxidative stress and the stimulatory effect of aluminum exposure on glycolysis causes many health issues including fat accumulation, obesity, and other hepatic disorders. One major factor contributing to dyslipidemia and enhanced pro-inflammatory responses is estrogen. Aluminum, being a metalloestrogen, modulates estrogen receptors, and in this world of industrialization and urbanization, we could corner down to metals, particularly aluminum, in the development of dyslipidemia. As per PRISMA guidelines, we did a literature search in four medical databases to give a holistic view of the possible link between aluminum exposure and various biochemical events leading to dyslipidemia.

KEBERTAHANAN PASAR TRADISIONAL SAWAH LUNTO MENGHADAPI PANDEMI COVID-19

This research is a case study based on field research. The approach used in this study is a qualitative approach. The selection of informants is through a purposive sampling method, where the informants are selected based on certain criteria, including knowing the ins and outs of the research problem, so that in this study the most logical informants are economic actors consisting of sellers and buyers in the traditional markets of Sawahlunto. The number of informants in this study were 10 people consisting of 6 buyers and 4 sellers. Determination of the number of informants is based on snowball sampling, where when the data is considered saturated, the number of informants is considered sufficient to describe the actual situation. Observation and interview were chosen as data collection techniques. This article aims to describe the economic impacts faced by Sawahlunto Traditional Market traders due to the worldwide co-19 pandemic. The results of this study were during the covid-19 pandemic and the implementation of the Large-Scale Social Restrictions (PSBB), the traditional markets of Sawahlunto were significantly affected. The impact of PSBB was especially felt by traders of cloth, clothing, crockery, shoes, photocopying, and electronics stores. Another case with Gold Traders, despite a decline in transactions, world gold prices jumped sharply, so it is assumed that Gold Traders are still benefiting from this pandemic situation. In terms of gender, the number of male traders is more dominantly affected than female traders. The dominance of traders affected by the adam due to the majority of the economic sector which is engaged in daily commodities, such as food and spices are dominated by women, where the PSBB does not greatly affect the sale of daily goods, because these commodities are the most basic staples vital for the continuity of human life, and still needed whatever the circumstances and conditions that afflict humans.

THE MODERN MARKET CENTER AT PASAR MINGGU JAKARTA AS AN ART SPACE USING TOD SUPPORT

Purpose: The purpose of this research is to design a public facility which was originally a traditional market with daily commodities to become a modern market with an expanded role as an art market (art space).
 Research methods: The design method used in the design starts from the stage of finding design ideas, containing ideas and problems that can potentially arise in the design. This stage aims to create ideas based on theory. This data collection includes literature studies and previous studies.
 Findings: The result of this design is a building that can be oriented to the economy and the arts so that it can accommodate human needs physically and spiritually. The application of the market concept and art space has made the market, which was previously known as a place that was only used to sell daily commodities, which can be used by the community for gathering and other natural organic activities such as art.
 Implications: To combine the market and the Art Space, a communal place is made, namely a plaza that is useful as a shelter for humans so that the market can also become a more lively place.

Data science and reinforcement learning for price forecasting and raw material procurement in petrochemical industry

Petrochemical industry is one of the major sectors contributing to the world-wide economy and the digital transformation is urgent to enhance core competence. In general, ethylene, propylene and butadiene, which are associated with synthetic chemicals, are the main raw materials of this industry with around 70–80% cost structure. In particular, butadiene is one of the key materials for producing synthetic rubber and used for several daily commodities. However, the price of butadiene fluctuates along with the demand–supply mismatch or by the international economy and political events. This study proposes two-stage data science framework to predict the weekly price of butadiene and optimize the procurement decision. The first stage suggests several the price prediction models with a comprehensive information including contract price, supply rate, demand rate, and upstream and downstream information. The second stage applies the analytic hierarchy process and reinforcement learning technique to derive an optimal policy of procurement decision and reduce the total procurement cost. An empirical study is conducted to validate the proposed framework, and the results improve the accuracy of price forecasts and the procurement cost reduction of the raw materials.

The Study of Inflation Rate and Relative Impact on the Indian Economy during Covid-19 Pandemic

COVID-19 has affected the entire world. India, like other countries have adopted the safest way of lockdown in order to prevent the pandemic. One of the most critical impact of lockdown is increasing inflation. Covid-19 has affected the economy in many ways, but the most tangible outcome is the impact of inflation that has affected each and every person. Even into the pandemic, Inflation in India did not see it going below 6%. Inflation has been one of the most burning issue of economics. It is an increase in the prices of daily commodities over a period. This paper is an attempt to understand the impact of inflation on Indian economy during COVID-19. The paper looks at the methods that are used to measure the level of inflation, and the factors that are responsible for the current high level of inflation in India during COVID-19.

Study of the COVID-19’s Impact on the Online Customer Flow of Daily Commodities: A Big Data Approach

The Covid-19 pandemic has hit the brick-and-mortar business hard, but how would it affect the online business? The research group collected big data on the customer flow of 1,000 daily commodities for two weeks before and after the pandemic outbreak from Taobao online shopping platform. It was found that: the Covid-19 has caused a significant negative impact on the online customer inflow, and its overall growth rate decreased. The products related to personal care, gifts and business stationery experienced the most significant decline, while daily necessities maintained a relatively stable customer flow, with little or no decline. In contrast, the products related to pandemic-control exhibited substantial growth in both customer flow and page views. Accordingly, the research group believes that developing contactless logistics and contactless production, building a time-space separation balanced supply system for pandemic-control products, and promoting altruistic social spending are necessary countermeasures to restore the negative impacts of the pandemic on online business.

People’s Perceptions of Inflation (A Survey Data Analysis)

In this paper, we have presented our results from an online survey on people's perceptions of increase in price level, conducted by the authors. Based on the results, we have drawn conclusions and constructed some hypotheses which need further research to get a solid foundation. The survey has tried to explore three aspects of the associated perceptions: whether the respondents are aware of the increase in daily commodity prices or not, the reasons behind the increase in price level and the state of price level that is appropriate for the economy of Bangladesh.People’s expectations of inflation shape the future inflation of an economy. Similarly, people's take on inflation can help them build their expectations of future inflation. Therefore, studying the perspectives is important to get a more clarified picture of the future inflation. It can also help while formulating policies to control the price level or other associated macroeconomic variables. Additionally, the inspection can be a great assist to illustrate the behavioral glitch of the respondents in terms of the relation to the macroeconomic picture.We have tried to show the responses on the questions in terms of the age groups and groups consisting of respondents who have or do not have prior formal knowledge of Economics. An interesting behavior noticed in the case of the people with economics background is that their behavior is inconsistent with the modern economics theory.Age groups are divided into four categories. The research data shows that the majority of the respondents support the idea that bad governance has given them a reason to expect inflation. The least supported reason is the effect of monetary policy. People do not tend to think that much about the impacts of monetary policy. COVID-19 pandemic leads a moderate number of respondents to formulate their perceptions on inflation. A highly negligible portion of respondents has said that they were not aware of the recent increase in the price level of daily commodities. A few hypotheses have also been developed from the analysis, which are mentioned in the discussion section. Further investigation is necessary to establish a statement in these cases.An interesting fact derived from this survey is that an important portion of people thinks that an increase in the price level to a limited extent is good for the economy of Bangladesh. Except for age group 3 (31-40), majority of all the groups support this idea. However, this inconsistent behavior among the age group 3 can be neglected since the more responses are necessary to establish this inconsistency as a significant issue. The second most supported appropriate inflationary state for the respondents is the decrease in price level.The responses were collected through Google Form. The data analysis and cleaning were performed using spreadsheet software.

Selection of Agricultural Contract Sales Models to Wholesalers to Maximize Supply Chain Profit (an Experimental Study)

In the new approach to the supply chain, the emphasis is on securing the benefits of all the categories in the chain and providing ways to improve the performance of the chain in order to achieve the desired goal. Due to the production of people's daily commodities and the low durability of some products, supply is important because supply and demand must be proportionate. This case study was conducted on tomato crop and selecting the model of contract of sale of agricultural products to wholesalers in order to maximize the whole supply chain profit. By reviewing the literature on supply chain contracts, 5 coordinated contract models were identified and tested through an empirical experiment on the supply chain wholesalers. The results of the experiment compared to the optimum value determined by the newsvendor model show that the order value received in each of the contracts did not reach the optimum value (280).

Eco-Friendly Orgnaic-Inorganic Hybrid Perovskite Solar Cells

Organic-inorganic hybrid perovskite materials have prominent properties such as high absorptivity by direct bandgap, long charge carriers' diffusion lenght by ionic crystal characteristics, high open circuit voltage by large dielectric constant, and solution processibility so that their power conversion efficiency of solar cells reached over 22% at 1 Sun condition. However, to find applications in daily commodities the toxic Pb should be replaced to non-toxic metals. Here, we tried to replace the Pb to the non-toxic metals and checked their photovoltaic properties and stabilities.

Olefins and Ethanol from Polyolefins: Analysis of Potential Chemical Recycling of Poly(ethylene) Mexican Case

Abstract Plastic solid waste (PSW) presents challenges and opportunities to society regardless of their sustainability awareness and technological advances. A special emphasis is paid on waste generated from polyolefin sources, which makes up a great percentage of our daily commodities’ plastic products. In Mexico 7.6 millions of tons of plastic in 2012 were wasted, which low density polyethylene LDPE, and high density polyethylene HDPE were the most abundant. Increasing cost, and decreasing space of landfills are forcing considerations of alternative options for PSW disposal. Years of research, study and testing have resulted in a number of treatment, recycling and recovery methods for plastics that can be economically, and environmentally viable. The following work studies the possibilities of polyethylene recycling. Nowadays, non-catalytic thermal cracking (Pyrolysis) is receiving renewed attention, due to the fact of added value on a crude oil barrel and its very valuable yielded products, but a fact remains that advanced thermo-chemical recycling of polyolefin still lacks the proper design, and kinetic background to target certain desired products and/or chemicals. On the other hand some research have shown a good performance that can be used in a real plant. ASPEN Plus is used to simulate a non-catalytic thermal cracking process. The process behavior of simulation is similar to the experimental data from other authors. Using gibbs free energy to identify the chemical equilibrium in system, its global minimization allows identifying the amount of substances present in the process. The simulation results demonstrate that it could be produced 49 % and 34 % wt of ethylene and propylene respectively from gas yield at 850 °C. Then scale the plant to produce ethylene and propylene from the pyrolysis and ethanol from a direct hydration of ethylene. Aspen Process Economics Analyzer is used in order to find the feasibility of the pyrolysis and ethanol production. The total sales/total production cost ratio obtained for the integrated process approaches was 2.55.

Small towns resisting urban decay through residential attractiveness. Findings from Denmark

Small towns are often considered as losing out in the current trend towards urban development. However, research from around Europe shows a great diversity of small town development, including successful development trajectories despite geographical disadvantages. Investigations into this are predominately done in the context of economic development and urban systems, but such approaches fail to explain why a number of small towns that are not centrally located near a metropolitan region are not in decay. This paper examines how the restructuring of retail and service sectors, demographic composition, residential migration, social organisation and community engagement form and affect small town (1000–5000 inhabitants) development patterns in Denmark and specific place-based endowments. The study is carried out with mixed methods, comprising a quantitative analysis of development trends, complemented by qualitative case studies in six small towns. Our findings show how favourable development paths are a combination of a positive development in population, provision of daily commodities and attractive housing, and a high number of local voluntary social organisations. Introducing the concept of ‘residential urbanism’, the paper discusses the extent to which a residentially driven urban development can compensate for the generally unfavourable regional development context.

檜皮採取によりヒノキ材の木部性質は変わるか

Bark isreproducible by the tree when its cambium is carefully left without damaging it by decorticate technicians.Throughout the world, reproduced bark has been traditionally used for daily commodities such as cork from cork oak (Quercussuber)in Portugal, or house buildings,such as roof tilesof 굴피rom sawtooth oak (Quercusacutissima) in Korea and Hiwadaroof plate from japanese cypress (Chamaecyparisobtusa) in Japan, etc.For traditional roof constructionin Japan, especially for national heritages, Hiwada bark is indispensable, and a number of cultural properties are awaiting for its supply for repairesthat arenecessary approximatedlyevery 40 years. However, Hiwada production is suffering from a shortageof old trees, which must bejapanese cypresstrees of more than 80 years old. Also,there is alack of traditional master technicians, motokawashi, who can decorticate the bark without damaging the cambium, and due tothe misunderstanding oftimber sellersthat decorticationimpaires the mechanical properties of the tree. We have been engaged in a series of research projects to solve this shortage of Hiwada. This study aimed to clarify whether bark decortication for Hiwada production changes the mechanical properties of the xylem,focusing on xylem production in the cambium after decortication, by measuring Young’s modulus and the cellulose-microfibrilangle. It is difficult to discuss the impact of decortication accuratelywithout considering other effectssuch asindividual variabilityand climate change. Bark was carefully removedincontrol experiments and by quantative treatments.A pair of trees, grown under very similar conditions, one of which was decorticated and the other was not treated, were compared. In order to remove the individual variability at each cell level, a series of daughter cells with the same mother cell in the cambium were sampled in annual rings and compared. Then, five to ten annual rings each before and after decortication and the changes in ratios were compared to the control, andthe impact of decortication itself was discussedandinvestigated.

Daily Commodities and Religious Identity in the Medieval Jewish Communities of Northern Europe

The Hebrew chronicle written by Solomon b. Samson recounts the mass conversion of the Jews of Regensburg in 1096.’ The Jews were herded and forced into the local river where a ‘sign was made over the water, the sign of a cross’ and thus they were baptized, all together in the same river. The local German rivers play another role in the accounts of the turbulent events of the Crusade persecutions. They were also the place where Jews evaded conversion, drowning themselves in water, rather than being baptized by what the chronicles’ authors call the ‘stinking waters’ of Christianity. Reading these Hebrew chronicles, one is immediately struck by the tremendous revulsion expressed toward the waters of baptism. Indeed, in his analysis of the symbolic significance of the baptismal waters for medieval Jews, Ivan Marcus has suggested that baptism by force in the local rivers was so traumatic that they instituted a ritual response during the twelfth and thirteenth centuries. One component of the medieval Jewish child initiation ceremony to Torah study was performed on the banks of the river, expressing Jewish aversion to baptism (see Fig. i).

Scenario Analysis of Greenhouse Gases Reduction by Changing Consumer's Shopping Behavior

Existing research shows that lifestyle changes and sustainable consumption play an important role in global warming mitigation. One way to alter consumer behavior and make it more environmentally responsible is to enhance communication between all stakeholders, that is, producers, retailers, and consumers. This paper evaluates the GHG reduction potential of changing daily shopping behavior through behavioral transformation. Behaviorally transformative actions in this context cover select foods and daily necessities, and are analyzed here from a life cycle assessment perspective. We developed multiple product selection scenarios to evaluate GHG emissions related to the purchase of daily commodities. Based on life cycle assessment, we estimated GHG emissions from production and distribution both in terms of current product selection and possible improved selection. Among other results, our study shows that due to seasonal consumption and energy conversion, greenhouse fruits and vegetables have high potential to reduce GHG emission. The GHG reduction potential of each individual commodity is not high because daily commodities consist of a number of goods. However, combinations of various actions can achieve a high reduction potential.

Integrating Controlling and Anthropomorphic Affordances on Smart Product Design

The intelligent trends in the household environment result in the growing expectations for interactive experience. However, most traditional products do not meet the emotional demand of customers because of their rigid operation mode and aesthetic form. This paper is going to present a system combines potential control awareness of the user and anthropomorphic responsive behaviors of the objects to help creating brand new smart products. A smart lighting model is explored to explain specific details by two application scenarios: anthropomorphic affordances of perceiving control behavior and the idle state. The work aims at creating a new form of product that enrich the emotion value of daily commodities in household environments and enhance emotional communication with human.

Mechanical and thermal properties of basalt fiber reinforced poly(butylene succinate) composites

Basalt fiber (BF) reinforced poly(butylene succinate) (PBS) composites have been fabricated with different fiber contents by a injection molding method and their tensile, flexural and impact properties, as well as thermal stability have been investigated. The tensile and flexural properties of the PBS matrix resin are improved markedly by increasing the fiber contents in the composites. The values are relatively higher than the natural fiber/PP systems reported earlier by other research groups. The heat deflection temperature (HDT) and Vicat softening temperature (VST) of the composites are significantly higher than those of the neat PBS resin. Scanning electron microscopy (SEM) conducted on the fracture surfaces of the composites reveals superior interfacial linkage between the basalt fibers and PBS matrix. The results suggest that the BF/PBS composites may be a potential candidate of PP or PP composites to manufacturing some daily commodities to solve the “white pollution” in environmental management.

Analysis of Daily Commodities Sales in China with Visibility Graph

Analysis of Daily Commodities Sales in China with Visibility Graph

Forecast evaluation in daily commodities futures markets

In this paper, we use recent advances in the financial econometrics literature to model the time-varying conditional variance in five energy markets – crude oil, gasoline, heating oil, propane, and natural gas – using daily data over the period from January 3, 1994 to September 23, 2008. We estimate autoregressive conditional heteroscedasticity (ARCH) and generalised ARCH (GARCH) models using a variety of error densities (the normal, Student-t, and generalised error distribution) and diagnostic checks. We use the models to perform static and dynamic forecasts over different horizons and compare their performance to that of a random walk model.