scholarly journals A dual factor decision making model in green manufacturing

2021 ◽  
Author(s):  
Bahador Jamshidy
Keyword(s):  
Decision Making ◽  
Goal Programming ◽  
Product Information ◽  
Positive Impact ◽  
Green Manufacturing ◽  
Product Recovery ◽  
Market Demand ◽  
Decision Making Model ◽  
Second Category ◽  
The Impact

This study focuses on the evaluation of different methods of product recovery for GM. The evaluation is conducted through the application of a decision making model. The model evaluates product recovery options on the basis of two categories: optimization of objective factors and market demand. The first category in the model focuses on optimization of five objective factors, including environmental impact (E), cost (C), quality (Q), resource consumption (R), and time (T). Goal programming is used to solve the optimization problem. The goal programming is supported by the construction of a decision making tree with three branches: remanufacturing, refurbishing, and current manufacturing. The solution of the decision tree helps determine the best method of product recovery for GM. The second category in the model focuses on the evaluation of market demand. This further supports the selection of the best method for product recovery. To evaluate market demand, a Bayesian forecasting model is used in the construction of a decision making tree. The study shows that the availably of products information including the objective factors and market demand, has a positive impact on making product recovery decisions. It also shows how recovery decisions can be modeled in decision making tress to represent the impact of product information on those decisions.

scholarly journals A dual factor decision making model in green manufacturing

2021 ◽  
Author(s):  
Bahador Jamshidy
Keyword(s):  
Decision Making ◽  
Goal Programming ◽  
Product Information ◽  
Positive Impact ◽  
Green Manufacturing ◽  
Product Recovery ◽  
Market Demand ◽  
Decision Making Model ◽  
Second Category ◽  
The Impact

This study focuses on the evaluation of different methods of product recovery for GM. The evaluation is conducted through the application of a decision making model. The model evaluates product recovery options on the basis of two categories: optimization of objective factors and market demand. The first category in the model focuses on optimization of five objective factors, including environmental impact (E), cost (C), quality (Q), resource consumption (R), and time (T). Goal programming is used to solve the optimization problem. The goal programming is supported by the construction of a decision making tree with three branches: remanufacturing, refurbishing, and current manufacturing. The solution of the decision tree helps determine the best method of product recovery for GM. The second category in the model focuses on the evaluation of market demand. This further supports the selection of the best method for product recovery. To evaluate market demand, a Bayesian forecasting model is used in the construction of a decision making tree. The study shows that the availably of products information including the objective factors and market demand, has a positive impact on making product recovery decisions. It also shows how recovery decisions can be modeled in decision making tress to represent the impact of product information on those decisions.

scholarly journals Optimization of competitive supply chains with retailers’ horizontal cooperation and consumers’ green preference

2021 ◽  
Author(s):  
Wenfang Shang ◽  
Liangliang Teng ◽  
Jian-bo Yang
Keyword(s):  
Supply Chains ◽  
Positive Impact ◽  
Green Manufacturing ◽  
Market Demand ◽  
Green Products ◽  
Negative Effects ◽  
Horizontal Cooperation ◽  
Supply Chain Competition ◽  
Gradual Process ◽  
The Impact

AbstractWith the wider recognition of the concept of environmental protection and sustainable development, more and more manufacturers have begun to implement green manufacturing strategies. However, green development is a gradual process, and the coexistence of ordinary and green products is common. This paper examines the competition between ordinary products and green ones based on supply chains, and discusses the impact of retailers’ horizontal cooperation on pricing, greenness, market demand, profit, and other related decisions and results. Model solutions and numerical experiments have shown that consumers’ green preference (CGP) has a positive impact on the results of green products and negative effects on those of ordinary ones; however, the impact of competition intensity (CI) is more complex, and the trend tends to change if it exceeds a certain critical value. In general, cooperation encourages retailers to raise prices and make manufacturers lower wholesale prices, but the retail and wholesale prices of green products are always higher than the corresponding prices of ordinary ones. Market demand can be reduced due to cooperation, but it is conducive to strengthening green products’ greenness. However, if CI exceeds a certain threshold, the greenness will be weakened by cooperation. Both retailers can benefit from cooperation easily and they always reach a win-win situation, but manufacturers suffer badly as a result. Nevertheless, when CI is weak, cooperation will bring a greater profit improvement to the whole chain of ordinary products; in this case, if a retailer is willing to compensate for a manufacturer’s profit loss and help it benefit from cooperation, the manufacturer will encourage the retailer to cooperate horizontally with the green retailer, but the green chain will be seriously damaged. When CI is strong, the greenness of green products is not obvious enough, and cooperation can bring some chances to achieve a win-win situation for two chains; if the green retailer can obtain a larger share from cooperation under this scenario, it can also enable its manufacturer to obtain compensation and change the profit increment from negative to positive. From an overall perspective, when CI is very weak or very strong, horizontal cooperation is conducive to improving the profit of the entire supply chain competition system, but when CI is relatively flat, independent operation for each chain is more advantageous; if the competition status is stable and unchanged, independent competition will be superior to horizontal cooperation.

A decision making model based on fuzzy inference to predict the impact of SCOR® indicators on customer perceived value

2020 ◽  
Vol 223 ◽  
pp. 107520
Author(s):  
Lucas Gabriel Zanon ◽  
Rafael Ferro Munhoz Arantes ◽  
Lucas Daniel Del Rosso Calache ◽  
Luiz Cesar Ribeiro Carpinetti
Keyword(s):  
Decision Making ◽  
Fuzzy Inference ◽  
Perceived Value ◽  
Model Based ◽  
Customer Perceived Value ◽  
Decision Making Model ◽  
The Impact

The impact on clinical practice of the 2015 reforms to the New South Wales Mental Health Act

2016 ◽  
Vol 25 (1) ◽  
pp. 43-47 ◽  
Author(s):  
Christopher James Ryan ◽  
Sascha Callaghan
Keyword(s):  
Mental Health ◽  
Decision Making ◽  
Clinical Practice ◽  
Persons With Disabilities ◽  
Mental Health Act ◽  
Recovery Movement ◽  
South Wales ◽  
Management Plans ◽  
Decision Making Model ◽  
The Impact

Objectives: The Mental Health Act 2007 (NSW) ( MHA) was recently reformed in light of the recovery movement and the United Nations Convention on the Rights of Persons with Disabilities. We analyse the changes and describe the impact that these reforms should have upon clinical practice. Conclusions: The principles of care and treatment added to the MHA place a strong onus on clinicians to monitor patients’ decision-making capacity, institute a supported decision-making model and obtain consent to any treatment proposed. Patients competently refusing treatment should only be subject to involuntary treatment in extraordinary circumstances. Even when patients incompetently refuse treatment, clinicians must make every effort reasonably practicable to tailor management plans to take account of any views and preferences expressed by them or made known via friends, family or advance statements.

scholarly journals A Decision-Making Model on the Impact of Vehicle Use on Urban Safety

2021 ◽  
Vol 13 (6) ◽  
pp. 3585
Author(s):  
Dariusz Masłowski ◽  
Małgorzata Dendera-Gruszka ◽  
Ewa Kulińska
Keyword(s):  
Decision Making ◽  
Internal Combustion Engines ◽  
Urban Traffic ◽  
Brake Pads ◽  
Wear And Tear ◽  
Urban Safety ◽  
Negative Impacts ◽  
Urban Conditions ◽  
Decision Making Model ◽  
The Impact

In the current era of urban development, people are already using electric vehicles more and more often for transport purposes, which reduces negative impacts on the environment. However, there are still vehicles in towns and cities that run on ordinary internal combustion engines. Performing optimization measures on the operation of these vehicles improves their performance, which can result in positive sustainable development effects. This article presents measures to reduce the wear and tear of urban vehicles and outlines a decision model to determine which of the vehicle parts described suffer the most frequent wear and tear under urban conditions. The article presents a list of structural elements that are most affected by urban traffic, as well as corrective actions to improve such specialized vehicles. Based on the decision analysis, Rule 1 was eliminated as having the least significant impact on vehicle wear and tear, and the least significant impact on urban safety. On the other hand, the most worn-out elements were found to be gearboxes, clutches, bus levelling electronics, and brake pads and discs. The decision-making model made it possible to identify the factors which have the greatest impact on reducing safety in urban spaces.

scholarly journals The impact of FDI on environmental technology innovation from the perspective of environmental regulation

2020 ◽  
Vol 206 ◽  
pp. 02001
Author(s):  
Ziting Wei
Keyword(s):  
Environmental Regulation ◽  
Technology Innovation ◽  
Negative Impact ◽  
Positive Impact ◽  
Inhibitory Effect ◽  
Market Demand ◽  
Environmental Technology ◽  
Industrial Enterprises ◽  
Threshold Regression Model ◽  
The Impact

Based on the perspective of environmental regulation, this paper selects panel data of 30 provinces in China from 2011 to 2016, establishes Hansen panel threshold regression model, and investigates the impact of FDI on environmental technology innovation of industrial enterprises in China under the threshold of environmental regulation. The results show that FDI has a significant inhibitory effect on the environmental technological innovation of industrial enterprises; the effect has a significant dual threshold of environmental regulation, with the intensity of environmental regulation across the threshold, the negative impact of FDI gradually weakened; market demand and industry scale have a significant positive impact, the role of technological progress is not significant. The findings of this paper provide a certain reference for the rational use of environmental regulation policies, the maximization of FDI technology spillover, the promotion of environmental technology innovation of industrial enterprises, and the realization of “win-win” of environment and economy.

scholarly journals Learning Losses Caused by the Covid-19 Pandemic - A Significant Threat to Economic Development

2021 ◽  
Vol 4 (1) ◽  
pp. 92
Author(s):  
Tea Kasradze ◽  
Nino Zarnadze
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
International Organizations ◽  
Positive Impact ◽  
Secondary Data ◽  
Market Demand ◽  
Local Policy ◽  
Education Systems ◽  
Increase Productivity ◽  
The Impact

Numerous studies show that there is a positive correlation between education and the economic development of the country. Strong education systems have a positive impact not only on the success of individuals but also on the economy of the entire country. Graduates equipped with the skills required by the labor market can easily find a place in this market. Knowledge and skills relevant to market demand increase productivity have a positive impact on economic growth and development. Unfortunately, Covid Pandemic has severely damaged the education systems. Governments, scientists, and experts provide us with statistical information daily around the world about both the slowdown in economic growth as a whole and the problems of individual sectors of the economy. These are the problems and numbers that are already visible and it can be said that the losses are easily measurable. However, the damage caused to the economy by education systems affected by the pandemic will be felt by countries and humanity years later, nor will it be easy to calculate. The problem is even more difficult in poor and developing countries. This paper aims to study the impact of the Covid Pandemic on the education system and economy in Georgia. The research examines the reports and studies of various international organizations, analyzing the secondary data obtained from them. Local policy documents, government reports and regulations, and papers of different researchers have also been studied, conclusions have been made and relevant recommendations have been developed.

scholarly journals Impact of Behavioral Biases on Investment Decision Making with Moderating Role of Financial Literacy

2018 ◽  
Vol 6 (2) ◽  
pp. 34-41
Author(s):  
Rizwan Khalid ◽  
◽  
Muhammad Javed ◽  
Khurram Shahzad ◽  
◽  
...  
Keyword(s):  
Decision Making ◽  
Financial Literacy ◽  
Positive Impact ◽  
Investment Decision ◽  
Structure Questionnaire ◽  
Investment Decision Making ◽  
Overconfidence Bias ◽  
The Impact ◽  
Moderating Role

The objective of this study is to examine the Impact of Overconfidence bias and Herding bias on Investment Decision Making with Moderating Role of Financial Literacy. The population was Investor, Employee and Graduate Student. A sample of 200 was selected using convenience technique. Data were collected through structure questionnaire adopted from different papers. Correlation and Regression analysis were performed to examine the result. The Results show that overconfidence bias and herding bias have a positive impact on investment decision making and Financial Literacy has positive impact on investment decision making. Based on the results and discussions of the study findings as well as the limitations, theoretical and practical implications of the study have been provided.

scholarly journals An Analysis of Behavioral Biases in Investment Decision-Making

2019 ◽  
Vol 10 (4) ◽  
pp. 55 ◽  
Author(s):  
Geetika Madaan ◽  
Sanjeet Singh
Keyword(s):  
Decision Making ◽  
Positive Impact ◽  
Stock Exchange ◽  
Investment Decision ◽  
Investment Decisions ◽  
Individual Investors ◽  
Behavioral Biases ◽  
Investment Decision Making ◽  
Survey Responses ◽  
The Impact

Individual investor’s behavior is extensively influenced by various biases that highlighted in the growing discipline of behavior finance. Therefore, this study is also one of another effort to assess the impact of behavioral biases in investment decision-making in National Stock Exchange. A questionnaire is designed and through survey responses collected from 243 investors. The present research has applied inferential statistics and descriptive statistics. In the existing study, four behavioral biases have been reviewed namely, overconfidence, anchoring, disposition effect and herding behavior. The results show that overconfidence and herding bias have significant positive impact on investment decision. Overall results conclude that individual investors have limited knowledge and more prone towards making psychological errors. The findings of the study also indicate the existence of these four behavioral biases on individual investment decisions. This study will be helpful to financial intermediaries to advice their clients. Further, study can be elaborated to study other behavioral biases on investment decisions.

scholarly journals Decision-Making of Underwater Cooperative Confrontation Based on MODPSO

Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 2211
Author(s):  
Na Wei ◽  
Mingyong Liu ◽  
Weibin Cheng
Keyword(s):  
Decision Making ◽  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Communication Delay ◽  
Discrete Particle Swarm Optimization ◽  
Swarm Optimization ◽  
Discrete Particle ◽  
Multi Objective ◽  
Decision Making Model ◽  
The Impact

This paper proposes a multi-objective decision-making model for underwater countermeasures based on a multi-objective decision theory and solves it using the multi-objective discrete particle swarm optimization (MODPSO) algorithm. Existing decision-making models are based on fully allocated assignment without considering the weapon consumption and communication delay, which does not conform to the actual naval combat process. The minimum opponent residual threat probability and minimum own-weapon consumption are selected as two functions of the multi-objective decision-making model in this paper. Considering the impact of the communication delay, the multi-objective discrete particle swarm optimization (MODPSO) algorithm is proposed to obtain the optimal solution of the distribution scheme with different weapon consumptions. The algorithm adopts the natural number coding method, and the particle corresponds to the confrontation strategy. The simulation result shows that underwater communication delay impacts the decision-making selection. It verifies the effectiveness of the proposed model and the proposed multi-objective discrete particle swarm optimization algorithm.

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