Pub Date : 1900-01-01DOI: 10.5267/j.jfs.2023.1.003
Syed Danish Bukhari, I. Zafar
During a pandemic like COVID-19, the country adopted a lockdown to minizine the spread of the pandemic which disrupted the global supply chain and supply chain resilience failed to minimize disruption. In this regard, this study aims to explore the resilience system among countries during a global disruption and the impact of supply chain disruption on supply chain resilience through misinformation/fake news, panic buying behavior, and inflation factors. For this purpose, the analytical study has been selected to predict the impact of supply chain disruption on supply chain resilience through misinformation/fake news, panic buying behavior, and inflation and propose a solution accordingly. The data from 89 countries are collected on various factors for the year 2020 and mediating analysis is selected to test the hypothesis through regression and correlation. They illustrate that there is a 46% correlation and 21% dependency between supply chain disruption and supply chain resilience through misinformation/fake news, panic buying behavior, supply chain disruption & inflation. The criterion validity of convergence validity and Cronbach of homogeneity test are applied. It has been found that panic buying behavior & supply chain disruption has a 71% strong correlation as compared to other factors and the reliability is 69% which is highly reliable and acceptable. In the end, it is concluded that strong coordination among countries will minimize global supply chain disruption through supply chain resilience for continuing supply chain activities and supply chain organizations & mass media organizations coordination with each other for minimizing misinformation/fake news, panic buying behavior supply chain disruption, and inflation factors to improve supply chain resilience by using artificial intelligence technology.
{"title":"Impact of global supply chain disruption on global supply chain resilience during pandemic like COVID-19","authors":"Syed Danish Bukhari, I. Zafar","doi":"10.5267/j.jfs.2023.1.003","DOIUrl":"https://doi.org/10.5267/j.jfs.2023.1.003","url":null,"abstract":"During a pandemic like COVID-19, the country adopted a lockdown to minizine the spread of the pandemic which disrupted the global supply chain and supply chain resilience failed to minimize disruption. In this regard, this study aims to explore the resilience system among countries during a global disruption and the impact of supply chain disruption on supply chain resilience through misinformation/fake news, panic buying behavior, and inflation factors. For this purpose, the analytical study has been selected to predict the impact of supply chain disruption on supply chain resilience through misinformation/fake news, panic buying behavior, and inflation and propose a solution accordingly. The data from 89 countries are collected on various factors for the year 2020 and mediating analysis is selected to test the hypothesis through regression and correlation. They illustrate that there is a 46% correlation and 21% dependency between supply chain disruption and supply chain resilience through misinformation/fake news, panic buying behavior, supply chain disruption & inflation. The criterion validity of convergence validity and Cronbach of homogeneity test are applied. It has been found that panic buying behavior & supply chain disruption has a 71% strong correlation as compared to other factors and the reliability is 69% which is highly reliable and acceptable. In the end, it is concluded that strong coordination among countries will minimize global supply chain disruption through supply chain resilience for continuing supply chain activities and supply chain organizations & mass media organizations coordination with each other for minimizing misinformation/fake news, panic buying behavior supply chain disruption, and inflation factors to improve supply chain resilience by using artificial intelligence technology.","PeriodicalId":150615,"journal":{"name":"Journal of Future Sustainability","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131387564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.5267/j.jfs.2022.11.008
Seife Ebeyedengel Tekletsadik
The ready-to-wear sector is expanding quickly and already accounts for a significant contribution to Ethiopia's export revenue. Due to its lower labor and investment costs, availability of resources, government assistance, etc. than other sectors, this industry attracts young entrepreneurs from around the nation as investment destinations. However, while investing in the leather industry, there are frequently many more aspects to consider. Again, there are numerous leather investment opportunities in the leathers sector, including handbags, jackets, belts, shoes, gloves, etc. Different sorts of leather items necessitate various levels of capital investment, operator skill sets, and resource requirements, among many other things. Again, based on their capacity for managing businesses, available capital, business location, and other factors, not all investors are in the same position. To assist investors in making decisions on the opening of a new leather industry, this paper presents a FAHP methodology for choosing the best leather item among various possibilities in a fuzzy environment. The methods enable the decision-maker to incorporate language expressions of expert judgment into the evaluation process. Using the suggested process, the ideal leather item is chosen for the launching of a leather industry in Ethiopia under the current circumstances.
{"title":"Selection of best leather item using a FAHP method to launch new leather industry in Ethiopia: A case study","authors":"Seife Ebeyedengel Tekletsadik","doi":"10.5267/j.jfs.2022.11.008","DOIUrl":"https://doi.org/10.5267/j.jfs.2022.11.008","url":null,"abstract":"The ready-to-wear sector is expanding quickly and already accounts for a significant contribution to Ethiopia's export revenue. Due to its lower labor and investment costs, availability of resources, government assistance, etc. than other sectors, this industry attracts young entrepreneurs from around the nation as investment destinations. However, while investing in the leather industry, there are frequently many more aspects to consider. Again, there are numerous leather investment opportunities in the leathers sector, including handbags, jackets, belts, shoes, gloves, etc. Different sorts of leather items necessitate various levels of capital investment, operator skill sets, and resource requirements, among many other things. Again, based on their capacity for managing businesses, available capital, business location, and other factors, not all investors are in the same position. To assist investors in making decisions on the opening of a new leather industry, this paper presents a FAHP methodology for choosing the best leather item among various possibilities in a fuzzy environment. The methods enable the decision-maker to incorporate language expressions of expert judgment into the evaluation process. Using the suggested process, the ideal leather item is chosen for the launching of a leather industry in Ethiopia under the current circumstances.","PeriodicalId":150615,"journal":{"name":"Journal of Future Sustainability","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125114355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.5267/j.jfs.2022.12.002
M. Ghasemi, Mohammad Sadra Rajabi, S. Aghakhani
During the last decades, environmental crises through energy consumption and economic growth were noticed as a growing concern among researchers. The industrial sector is the main part of economic growth in each country using conservative energy and emitting carbon dioxide that causes global warming. The Paris agreement and Kyoto protocol were two agreements to prevent governments from emitting CO2 freely. Purpose of this research was to investigate the cement industry, steel industry, and automobile industry products’ effects on CO2 emissions in Iran and to rank them according to their measured effects on CO2 emissions. The methodology used in this study was to estimate equations with CO2 emissions as a dependent variable and cement, steel, and automobile industries’ products with ordinary least squares (OLS) and generalized moment method (GMM) approaches. Stationary, Johansen cointegration, Durbin-Watson, Breusch-Godfrey, Chow breakpoint, and normal residual tests were checked. In-sample forecasting was implemented to check the precision of the estimation and an updated ranking was reported as a final result to consider which industry has affected CO2 emissions more than the others per unit of production cost. In conclusion, the cement industry, steel industry, and automobile industry had the most positive effects on CO2 emissions, respectively. This result is suitable to prioritize the industries for enhancing green technology and optimizing industrial production for a more sustainable economy.
{"title":"Towards sustainability: The effect of industries on CO2 emissions","authors":"M. Ghasemi, Mohammad Sadra Rajabi, S. Aghakhani","doi":"10.5267/j.jfs.2022.12.002","DOIUrl":"https://doi.org/10.5267/j.jfs.2022.12.002","url":null,"abstract":"During the last decades, environmental crises through energy consumption and economic growth were noticed as a growing concern among researchers. The industrial sector is the main part of economic growth in each country using conservative energy and emitting carbon dioxide that causes global warming. The Paris agreement and Kyoto protocol were two agreements to prevent governments from emitting CO2 freely. Purpose of this research was to investigate the cement industry, steel industry, and automobile industry products’ effects on CO2 emissions in Iran and to rank them according to their measured effects on CO2 emissions. The methodology used in this study was to estimate equations with CO2 emissions as a dependent variable and cement, steel, and automobile industries’ products with ordinary least squares (OLS) and generalized moment method (GMM) approaches. Stationary, Johansen cointegration, Durbin-Watson, Breusch-Godfrey, Chow breakpoint, and normal residual tests were checked. In-sample forecasting was implemented to check the precision of the estimation and an updated ranking was reported as a final result to consider which industry has affected CO2 emissions more than the others per unit of production cost. In conclusion, the cement industry, steel industry, and automobile industry had the most positive effects on CO2 emissions, respectively. This result is suitable to prioritize the industries for enhancing green technology and optimizing industrial production for a more sustainable economy.","PeriodicalId":150615,"journal":{"name":"Journal of Future Sustainability","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115382452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.5267/j.jfs.2023.1.005
Ravipudi Venkata Rao, Sarthakkumar Patel
A growing number of companies treat "sustainability" as an important objective in their strategy. Sustainable and green suppliers increase efficiency by reducing costs and waste in industries. Sustainable and green supplier selection is a critically important factor in moving forward along the path of sustainability. A fuzzy R-method is proposed in this paper based on ranking the fuzzy numbers of alternative suppliers and criteria. Triangular fuzzy membership function and different fuzzy scales are presented to demonstrate and validate the proposed method. Fuzzy composite scores are generated, and these scores are converted into crisp forms to evaluate the alternative suppliers. The novelty of the proposed method is that it is simple, can deal with qualitative and quantitative criteria of supplier selection, and requires less computational effort for evaluating and ranking the green and sustainable suppliers in fuzzy group decision-making situations. The weights of the criteria and alternative suppliers are generated using a simple equation and hence there is no need to apply different methods for weights generation and ranking. Furthermore, this method does not require normalization of the data. Two realistic group decision-making problems of green and sustainable supplier selection to test the method. Sensitivity analysis for the proposed method is also conducted to check the consistency of the proposed method to different weights of the criteria. The proposed method is effective, robust, and competitive to the existing multi-criteria decision making (MCDM) methods of sustainable supplier selection.
{"title":"Selection of sustainable and green suppliers using a fuzzy R-method in group decision-making situations","authors":"Ravipudi Venkata Rao, Sarthakkumar Patel","doi":"10.5267/j.jfs.2023.1.005","DOIUrl":"https://doi.org/10.5267/j.jfs.2023.1.005","url":null,"abstract":"A growing number of companies treat \"sustainability\" as an important objective in their strategy. Sustainable and green suppliers increase efficiency by reducing costs and waste in industries. Sustainable and green supplier selection is a critically important factor in moving forward along the path of sustainability. A fuzzy R-method is proposed in this paper based on ranking the fuzzy numbers of alternative suppliers and criteria. Triangular fuzzy membership function and different fuzzy scales are presented to demonstrate and validate the proposed method. Fuzzy composite scores are generated, and these scores are converted into crisp forms to evaluate the alternative suppliers. The novelty of the proposed method is that it is simple, can deal with qualitative and quantitative criteria of supplier selection, and requires less computational effort for evaluating and ranking the green and sustainable suppliers in fuzzy group decision-making situations. The weights of the criteria and alternative suppliers are generated using a simple equation and hence there is no need to apply different methods for weights generation and ranking. Furthermore, this method does not require normalization of the data. Two realistic group decision-making problems of green and sustainable supplier selection to test the method. Sensitivity analysis for the proposed method is also conducted to check the consistency of the proposed method to different weights of the criteria. The proposed method is effective, robust, and competitive to the existing multi-criteria decision making (MCDM) methods of sustainable supplier selection.","PeriodicalId":150615,"journal":{"name":"Journal of Future Sustainability","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125281683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.5267/j.jfs.2022.11.003
Muhammad Sameer Hussain, Muhammad Masood Mir, Syeda Farina Musharaf, S. Sajid
As in today's era firms are looking to sustain while facing multiple challenges. Ultimately talented employees are the backbone of any firm that provides a sustainable competitive position at a global level. The major aspect is to make appropriate strategies to stay effective and efficient. Firms are focused on their strategies of recruitment and selection, training, and leadership capabilities to build up. A sample is collected from top-level management of the pharmaceutical sector sample data is of 320 Professionals from the different pharmaceutical sector of Karachi Pakistan. For Data collection Survey method is adopted with a close-ended Questionnaire. The study reveals the impact of artificial intelligence on competitive advantage. This research finds out certain strategies to be aligned with the mediation of Artificial intelligence to gain sustainable competitive advantage and serial mediation of the talent management process among the pharmaceutical sector of Karachi Pakistan. Talent management and Artificial Intelligence serial mediation aligned with HR practices to gain competitive advantage. As the study indicates that recruitment and selection are positively aligned with Artificial intelligence and serial mediation of talent management, further aspects of talent development and talent retention are directly linked with a competitive advantage as suitable components. This research merely focused on the pharmaceutical sector of Karachi Pakistan and the results generalized on the professionals of this particular sector, while new aspects of HR practices could be linked up with Artificial intelligence that will help to boost and find better insight into other industries.
{"title":"Examining the role of artificial intelligence in determining sustainable competitive advantage: Evidence from the pharmaceutical sector of Karachi Pakistan","authors":"Muhammad Sameer Hussain, Muhammad Masood Mir, Syeda Farina Musharaf, S. Sajid","doi":"10.5267/j.jfs.2022.11.003","DOIUrl":"https://doi.org/10.5267/j.jfs.2022.11.003","url":null,"abstract":"As in today's era firms are looking to sustain while facing multiple challenges. Ultimately talented employees are the backbone of any firm that provides a sustainable competitive position at a global level. The major aspect is to make appropriate strategies to stay effective and efficient. Firms are focused on their strategies of recruitment and selection, training, and leadership capabilities to build up. A sample is collected from top-level management of the pharmaceutical sector sample data is of 320 Professionals from the different pharmaceutical sector of Karachi Pakistan. For Data collection Survey method is adopted with a close-ended Questionnaire. The study reveals the impact of artificial intelligence on competitive advantage. This research finds out certain strategies to be aligned with the mediation of Artificial intelligence to gain sustainable competitive advantage and serial mediation of the talent management process among the pharmaceutical sector of Karachi Pakistan. Talent management and Artificial Intelligence serial mediation aligned with HR practices to gain competitive advantage. As the study indicates that recruitment and selection are positively aligned with Artificial intelligence and serial mediation of talent management, further aspects of talent development and talent retention are directly linked with a competitive advantage as suitable components. This research merely focused on the pharmaceutical sector of Karachi Pakistan and the results generalized on the professionals of this particular sector, while new aspects of HR practices could be linked up with Artificial intelligence that will help to boost and find better insight into other industries.","PeriodicalId":150615,"journal":{"name":"Journal of Future Sustainability","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133048779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.5267/j.jfs.2022.9.010
Amir Mohammad Larni Fooeik, Hossein Ghanbari, Mina Bagheriyan, Emran Mohammadi
The capital market is one of the most critical pillars of financial markets, which plays an important role in countries' economies. With the increasing development of international trade and the free flow of capital, financial asset prices spread to other assets. The extend is increasing with the expansion of communication networks as well as the close connection of financial markets to each other. Therefore, the state of a market is not only specific to itself but also affects other financial markets. Global oil, gold, and basic metal prices, including palladium, significantly influence the American financial markets. Due to the importance of the Nasdaq index for investors' investment decisions, this study analyzes the impact of oil, gold, and palladium metal prices on the Nasdaq index monthly between 2016 and 2021. Based on the final model, the oil and gold markets significantly impact the Nasdaq index, while palladium has a less significant impact.
{"title":"Analyzing the effects of global oil, gold and palladium markets: Evidence from the Nasdaq composite index","authors":"Amir Mohammad Larni Fooeik, Hossein Ghanbari, Mina Bagheriyan, Emran Mohammadi","doi":"10.5267/j.jfs.2022.9.010","DOIUrl":"https://doi.org/10.5267/j.jfs.2022.9.010","url":null,"abstract":"The capital market is one of the most critical pillars of financial markets, which plays an important role in countries' economies. With the increasing development of international trade and the free flow of capital, financial asset prices spread to other assets. The extend is increasing with the expansion of communication networks as well as the close connection of financial markets to each other. Therefore, the state of a market is not only specific to itself but also affects other financial markets. Global oil, gold, and basic metal prices, including palladium, significantly influence the American financial markets. Due to the importance of the Nasdaq index for investors' investment decisions, this study analyzes the impact of oil, gold, and palladium metal prices on the Nasdaq index monthly between 2016 and 2021. Based on the final model, the oil and gold markets significantly impact the Nasdaq index, while palladium has a less significant impact.","PeriodicalId":150615,"journal":{"name":"Journal of Future Sustainability","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122204021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.5267/j.jfs.2022.9.003
A. Purwanto, Khaerul Fahmi, I. Irwansyah, Rastanto Hadinegoro, I. Rochmad, S. Syahril, Eva Sulastri
The purpose of this study is to analyze the effect of green innovation (GI) on environmental performance (EI), the effect of green supply chain management (GSCM) on GI, and finally the effect of GI on environmental performance (EP) in the digital era. The study uses quantitative research methods and descriptive statistics. The sampling technique used is non-probability sampling with the type of purposive sampling. Respondents used in this study were 190 employees of small and medium enterprises (SMEs). Data was obtained by distributing online questionnaires through social media. The analytical technique used in this research is based on descriptive analysis and Structural Equation Model (SEM) using Partial Least Square (PLS). The results of this study indicate that GSCM practices have a significant positive effect on EI, GSCM practices have a significant positive effect on GI, GI has a significant positive effect on EP and, finally, GI mediates the relationship between GSCM and EP.
{"title":"The role of green innovation and green supply chain management on the sustainability of the performance of SMEs","authors":"A. Purwanto, Khaerul Fahmi, I. Irwansyah, Rastanto Hadinegoro, I. Rochmad, S. Syahril, Eva Sulastri","doi":"10.5267/j.jfs.2022.9.003","DOIUrl":"https://doi.org/10.5267/j.jfs.2022.9.003","url":null,"abstract":"The purpose of this study is to analyze the effect of green innovation (GI) on environmental performance (EI), the effect of green supply chain management (GSCM) on GI, and finally the effect of GI on environmental performance (EP) in the digital era. The study uses quantitative research methods and descriptive statistics. The sampling technique used is non-probability sampling with the type of purposive sampling. Respondents used in this study were 190 employees of small and medium enterprises (SMEs). Data was obtained by distributing online questionnaires through social media. The analytical technique used in this research is based on descriptive analysis and Structural Equation Model (SEM) using Partial Least Square (PLS). The results of this study indicate that GSCM practices have a significant positive effect on EI, GSCM practices have a significant positive effect on GI, GI has a significant positive effect on EP and, finally, GI mediates the relationship between GSCM and EP.","PeriodicalId":150615,"journal":{"name":"Journal of Future Sustainability","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123635641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.5267/j.jfs.2022.11.005
K. Sainath, Korcha Teja Sai
Supply chains are changing due to changes in the global environment and to make the strategies effective most of the companies are striving towards the trends in the supply chain. Among the trends gamification is one of those that are creating an impact in the workspace with the techniques that are associated with it. Gamification in the supply chain had the least application and this study gave a road map for the decision makers like supply chain managers with the help of reviewing papers from the databases that are available. Findings say that giants like Amazon and Starbucks are applying gamification techniques to bring more transparency and visibility to reduce errors and to mitigate errors. This paper is providing evidence from the different activities like order management, warehousing activities with case applications are discussed. We conducted systematic literature review with 118 papers on gamification and 22 found relevant to the supply chain and its activities.
{"title":"Supply chains are playing games: A review literature on Gamification in supply chain","authors":"K. Sainath, Korcha Teja Sai","doi":"10.5267/j.jfs.2022.11.005","DOIUrl":"https://doi.org/10.5267/j.jfs.2022.11.005","url":null,"abstract":"Supply chains are changing due to changes in the global environment and to make the strategies effective most of the companies are striving towards the trends in the supply chain. Among the trends gamification is one of those that are creating an impact in the workspace with the techniques that are associated with it. Gamification in the supply chain had the least application and this study gave a road map for the decision makers like supply chain managers with the help of reviewing papers from the databases that are available. Findings say that giants like Amazon and Starbucks are applying gamification techniques to bring more transparency and visibility to reduce errors and to mitigate errors. This paper is providing evidence from the different activities like order management, warehousing activities with case applications are discussed. We conducted systematic literature review with 118 papers on gamification and 22 found relevant to the supply chain and its activities.","PeriodicalId":150615,"journal":{"name":"Journal of Future Sustainability","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122527429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.5267/j.jfs.2022.9.001
S. Sadjadi
Land subsidence in Iran is one of the environmental issues of recent years in Iran, which is mostly due to shortage of the groundwater resources. Iran is considered as the country with the most land subsidence. The amount of land subsidence in Iran is believed to be far more than the average of developed countries. Presently, over 300 plains of Iran are suffering from land subsidence and in some plains of Iran, the conditions have passed the subsidence and the ground has entered the critical stage of creating sinkholes. This paper presents an overview of the current status and challenging issues of land subsidence in Iran.
{"title":"Review on current status and challenging issues of land subsidence in Iran","authors":"S. Sadjadi","doi":"10.5267/j.jfs.2022.9.001","DOIUrl":"https://doi.org/10.5267/j.jfs.2022.9.001","url":null,"abstract":"Land subsidence in Iran is one of the environmental issues of recent years in Iran, which is mostly due to shortage of the groundwater resources. Iran is considered as the country with the most land subsidence. The amount of land subsidence in Iran is believed to be far more than the average of developed countries. Presently, over 300 plains of Iran are suffering from land subsidence and in some plains of Iran, the conditions have passed the subsidence and the ground has entered the critical stage of creating sinkholes. This paper presents an overview of the current status and challenging issues of land subsidence in Iran.","PeriodicalId":150615,"journal":{"name":"Journal of Future Sustainability","volume":"23 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120876567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.5267/j.jfs.2024.1.004
Mona Sadeghi, Mohsen Nikfar, Faeze Momeni Rad
Loading and unloading operations for Stock Keeping Units (SKUs) in warehouses are critical to logistics management systems. However, these operations also have a significant impact on the environment, particularly in terms of carbon dioxide (CO2) emissions. As such, warehouse management must consider not only operational efficiency but also environmental impact. The reduction of CO2 emissions in warehouses is becoming increasingly important, both for legal compliance and to meet sustainability targets. In this article, we will emphasize the environmental impact of warehouse operations, particularly on CO2 emissions, and explore ways to minimize them while still maximizing warehouse performance. We will review various optimization models proposed to address this issue and highlight the importance of considering environmental objectives when designing warehouse operations. We will also describe a simulation study conducted to determine the Pareto optimal frontier for a warehouse design, considering transportation, space utilization, and CO2 emissions. The outcomes of implementing this simulation's results include reduced CO2 emissions and increased space utilization, which demonstrate the potential benefits of considering environmental objectives in warehouse design and management.
{"title":"Optimizing warehouse operations for environmental sustainability: A simulation study for reducing carbon emissions and maximizing space utilization","authors":"Mona Sadeghi, Mohsen Nikfar, Faeze Momeni Rad","doi":"10.5267/j.jfs.2024.1.004","DOIUrl":"https://doi.org/10.5267/j.jfs.2024.1.004","url":null,"abstract":"Loading and unloading operations for Stock Keeping Units (SKUs) in warehouses are critical to logistics management systems. However, these operations also have a significant impact on the environment, particularly in terms of carbon dioxide (CO2) emissions. As such, warehouse management must consider not only operational efficiency but also environmental impact. The reduction of CO2 emissions in warehouses is becoming increasingly important, both for legal compliance and to meet sustainability targets. In this article, we will emphasize the environmental impact of warehouse operations, particularly on CO2 emissions, and explore ways to minimize them while still maximizing warehouse performance. We will review various optimization models proposed to address this issue and highlight the importance of considering environmental objectives when designing warehouse operations. We will also describe a simulation study conducted to determine the Pareto optimal frontier for a warehouse design, considering transportation, space utilization, and CO2 emissions. The outcomes of implementing this simulation's results include reduced CO2 emissions and increased space utilization, which demonstrate the potential benefits of considering environmental objectives in warehouse design and management.","PeriodicalId":150615,"journal":{"name":"Journal of Future Sustainability","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133934831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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