Cold chain logistic firms have been motivated to decrease overall operating costs and carbon emissions to capture economic edge and maintain profitability by intense competition and financial energy requirements. C Our analysis develops a model cold-chain logistic and distribution system (CC-LDS) for logistics and transport firms working together to manufacture chilled and frozen goods by introducing carbon tax policies. The CC-LDS model provides a logistics and transport network. Virtual annealing (VA) algorithm for optimising the model is implemented based on actual customer information from multiple cold storage firms and 30 clients. The findings suggest that the second derivative is optimal compared to the individual distribution to slash overall expense and carbon pollution. The net cost is strongly associated with the cost of carbon, and energy consumption is similar to the price of carbon grows. Moreover, carbon caps have little effect on the direction of distribution.To best leverage social and technological capital to accomplish equal financial and ecological gains.
{"title":"Application of Cold-Chain Logistics and Distribution Systems Using Deliver Schedule Management","authors":"Qingwei Yin, Qian Tian","doi":"10.4018/ijisscm.305844","DOIUrl":"https://doi.org/10.4018/ijisscm.305844","url":null,"abstract":"Cold chain logistic firms have been motivated to decrease overall operating costs and carbon emissions to capture economic edge and maintain profitability by intense competition and financial energy requirements. C Our analysis develops a model cold-chain logistic and distribution system (CC-LDS) for logistics and transport firms working together to manufacture chilled and frozen goods by introducing carbon tax policies. The CC-LDS model provides a logistics and transport network. Virtual annealing (VA) algorithm for optimising the model is implemented based on actual customer information from multiple cold storage firms and 30 clients. The findings suggest that the second derivative is optimal compared to the individual distribution to slash overall expense and carbon pollution. The net cost is strongly associated with the cost of carbon, and energy consumption is similar to the price of carbon grows. Moreover, carbon caps have little effect on the direction of distribution.To best leverage social and technological capital to accomplish equal financial and ecological gains.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"12 1","pages":"1-20"},"PeriodicalIF":1.6,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83180770","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}
Information systems (IS) influence logistic and distribution management on sourcing, planning, delivery, and levels ranging from strategic operations to organizational strategy. Information management is a challenging task in logistics and distribution across the business. The supply chain has been increasingly accepted as a significant aid to cut costs and boost services. This paper proposes meta-heuristic techniques (MHT) for effective information management in logistics and distribution, from manufacturers to customers, security, a significant focus on collaboration of operations, co-operation, communication, and knowledge exchange across the supply chain. Modern organizations need advanced decision support systems focused on operative statistical modeling and solution methods and information and communication technology developments to adapt to the integration challenge. It suggests that metaheuristics can play an essential role in addressing complex logistical challenges from logistic architecture and management within the supply chain.
{"title":"Information Management in the Logistics and Distribution Sector Using Metaheuristic Techniques","authors":"Peng Yang","doi":"10.4018/ijisscm.305850","DOIUrl":"https://doi.org/10.4018/ijisscm.305850","url":null,"abstract":"Information systems (IS) influence logistic and distribution management on sourcing, planning, delivery, and levels ranging from strategic operations to organizational strategy. Information management is a challenging task in logistics and distribution across the business. The supply chain has been increasingly accepted as a significant aid to cut costs and boost services. This paper proposes meta-heuristic techniques (MHT) for effective information management in logistics and distribution, from manufacturers to customers, security, a significant focus on collaboration of operations, co-operation, communication, and knowledge exchange across the supply chain. Modern organizations need advanced decision support systems focused on operative statistical modeling and solution methods and information and communication technology developments to adapt to the integration challenge. It suggests that metaheuristics can play an essential role in addressing complex logistical challenges from logistic architecture and management within the supply chain.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"22 1","pages":"1-21"},"PeriodicalIF":1.6,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73691347","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}
The internet of things (IoT) is a modern generation of internet-associated embedded information and communication technology in an online environment to incorporate logistics and supply chain processes seamlessly. Automation in inventory monitoring, product control, storage, customer relationships, fleet tracking, etc. is a common issue faced by firms suggesting alternatives to the various problems. In this study, IoT-assisted bio-inspired framework (IoT-BIF) has been proposed for effective logistics management and supply chain processes. IoT with bio-inspired model sensors can track products via different supply chain units to address under-stocking and over-stocking issues. This modern technology allows the connection of numerous objects by gathering real-time data and sharing it; the resulting data can help automated decision-making in industries. The experimental results show that the proposed IoT-BIF method reduces the cost, memory utilization, average running time compared to other popular methods.
{"title":"Logistic Management in the Supply Chain Market Using Bio-Inspired Models With IoT Assistance","authors":"Hongyun Liu","doi":"10.4018/ijisscm.305849","DOIUrl":"https://doi.org/10.4018/ijisscm.305849","url":null,"abstract":"The internet of things (IoT) is a modern generation of internet-associated embedded information and communication technology in an online environment to incorporate logistics and supply chain processes seamlessly. Automation in inventory monitoring, product control, storage, customer relationships, fleet tracking, etc. is a common issue faced by firms suggesting alternatives to the various problems. In this study, IoT-assisted bio-inspired framework (IoT-BIF) has been proposed for effective logistics management and supply chain processes. IoT with bio-inspired model sensors can track products via different supply chain units to address under-stocking and over-stocking issues. This modern technology allows the connection of numerous objects by gathering real-time data and sharing it; the resulting data can help automated decision-making in industries. The experimental results show that the proposed IoT-BIF method reduces the cost, memory utilization, average running time compared to other popular methods.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"13 1","pages":"1-20"},"PeriodicalIF":1.6,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87684266","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}
With the deepening of theoretical research and social practice, hospital employee performance management has developed into a mature knowledge system. Therefore, systematic review of the research results in this field is conducive to fully understand its research history, grasp the research hotspots and frontier issues, which is of great significance to theoretical innovation in the field of hospital employee performance evaluation.iteSpace 5.3.R4 was used as the visualization tool draw a knowledge map to systematically sort out the distribution of relevant literature of hospital employee performance evaluation, including time distribution, journal distribution, author distribution, etc., and conduct a systematic research on the research hotspots and research frontiers in the field of hospital employee performance evaluation, which provides a beneficial reference for the theoretical research and practical innovation of domestic hospital employee performance evaluation.
{"title":"Hospital Employee Performance Evaluation Based on Knowledge Map","authors":"Lei Wang, Rongjing Huang, Chao Shen, Guofu Li","doi":"10.4018/ijisscm.306251","DOIUrl":"https://doi.org/10.4018/ijisscm.306251","url":null,"abstract":"With the deepening of theoretical research and social practice, hospital employee performance management has developed into a mature knowledge system. Therefore, systematic review of the research results in this field is conducive to fully understand its research history, grasp the research hotspots and frontier issues, which is of great significance to theoretical innovation in the field of hospital employee performance evaluation.iteSpace 5.3.R4 was used as the visualization tool draw a knowledge map to systematically sort out the distribution of relevant literature of hospital employee performance evaluation, including time distribution, journal distribution, author distribution, etc., and conduct a systematic research on the research hotspots and research frontiers in the field of hospital employee performance evaluation, which provides a beneficial reference for the theoretical research and practical innovation of domestic hospital employee performance evaluation.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"60 1","pages":"1-21"},"PeriodicalIF":1.6,"publicationDate":"2022-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73448353","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}
The stability of the original spillover effect model of agricultural product market price volatility is poor, resulting in the low degree of fitting between the results and the actual situation. In order to further clarify the spillover effect of agricultural product market price volatility, a research method of spillover effect of agricultural product market price volatility based on Fourier analysis is proposed. The authors collect sample data, eliminate missing data, and complete data storage. Wavelet transform is used to reduce the noise of the sample data, Fourier analysis is used to reconstruct the sample data, and the data with high degree of discretization is aggregated to output the data preprocessing results. The experimental results show that the method has strong anti-interference ability, good stability, high fitting degree between the results and the actual, and has reliability.
{"title":"The Spillover Effect of Agricultural Product Market Price Fluctuation Based on Fourier Analysis","authors":"Canyu Zhang, Guixian Tian, Y. Tao","doi":"10.4018/ijisscm.304828","DOIUrl":"https://doi.org/10.4018/ijisscm.304828","url":null,"abstract":"The stability of the original spillover effect model of agricultural product market price volatility is poor, resulting in the low degree of fitting between the results and the actual situation. In order to further clarify the spillover effect of agricultural product market price volatility, a research method of spillover effect of agricultural product market price volatility based on Fourier analysis is proposed. The authors collect sample data, eliminate missing data, and complete data storage. Wavelet transform is used to reduce the noise of the sample data, Fourier analysis is used to reconstruct the sample data, and the data with high degree of discretization is aggregated to output the data preprocessing results. The experimental results show that the method has strong anti-interference ability, good stability, high fitting degree between the results and the actual, and has reliability.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"117 1","pages":"1-17"},"PeriodicalIF":1.6,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79402263","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}
Mingjuan Bi, Fushan Zheng, Fengxiang Wang, Tiantian Chen, Yingying Cui
Oil pollution is still a problem that is very difficult to control. To this end, this study investigates the application effect of microbial degradation technology in oil pollution control. First, the degradation microbial strains and substrates were determined according to the type of microorganisms. Then, ultraviolet spectrophotometry was used to determine the concentration of crude oil in the culture medium. After that, the authors designed the flow chart of crude oil standard curve, extracted organic phase, determined the residual oil composition in the culture medium, and calculated the degradation rate of mixed bacteria to crude oil. By studying the degradation mechanism of aerobic bacteria, anaerobic bacteria, and fungi, the degradation products were confirmed and the treatment of oil pollution on the water surface was carried out. It can be seen from the experimental results that the microbial degradation technology is effective in solving the problem of oil pollution.
{"title":"Application of Microbial Degradation Technology in Oil Pollution Control","authors":"Mingjuan Bi, Fushan Zheng, Fengxiang Wang, Tiantian Chen, Yingying Cui","doi":"10.4018/ijisscm.304826","DOIUrl":"https://doi.org/10.4018/ijisscm.304826","url":null,"abstract":"Oil pollution is still a problem that is very difficult to control. To this end, this study investigates the application effect of microbial degradation technology in oil pollution control. First, the degradation microbial strains and substrates were determined according to the type of microorganisms. Then, ultraviolet spectrophotometry was used to determine the concentration of crude oil in the culture medium. After that, the authors designed the flow chart of crude oil standard curve, extracted organic phase, determined the residual oil composition in the culture medium, and calculated the degradation rate of mixed bacteria to crude oil. By studying the degradation mechanism of aerobic bacteria, anaerobic bacteria, and fungi, the degradation products were confirmed and the treatment of oil pollution on the water surface was carried out. It can be seen from the experimental results that the microbial degradation technology is effective in solving the problem of oil pollution.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"107 1","pages":"1-16"},"PeriodicalIF":1.6,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89019291","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}
This paper puts forward the service transformation approach of Ningbo manufacturing industry considering the potential of ecological benefits. By analyzing the current situation of service-oriented development of Ningbo's manufacturing industry, this paper summarizes the problems encountered in the process of service-oriented transformation of Ningbo's manufacturing industry, introduces the concept of ecological benefit potential, combines the characteristics of service-oriented transformation of Ningbo's manufacturing industry, finds the path of service-oriented transformation of Ningbo's manufacturing industry, constructs a grey relational model, analyzes the coupling relationship between Ningbo's manufacturing industry and service industry, and completes an analysis of the ways of transformation of service of Ningbo's manufacturing industry. The simulation results show that the proposed transformation path method can improve the problems existing in the service transformation of Ningbo manufacturing industry.
{"title":"On the Service Transformation of Ningbo's Manufacturing Industry Considering the Potential of Ecological Benefits","authors":"Guixian Tian, Ziyuan Xie, Y. Tao","doi":"10.4018/ijisscm.304827","DOIUrl":"https://doi.org/10.4018/ijisscm.304827","url":null,"abstract":"This paper puts forward the service transformation approach of Ningbo manufacturing industry considering the potential of ecological benefits. By analyzing the current situation of service-oriented development of Ningbo's manufacturing industry, this paper summarizes the problems encountered in the process of service-oriented transformation of Ningbo's manufacturing industry, introduces the concept of ecological benefit potential, combines the characteristics of service-oriented transformation of Ningbo's manufacturing industry, finds the path of service-oriented transformation of Ningbo's manufacturing industry, constructs a grey relational model, analyzes the coupling relationship between Ningbo's manufacturing industry and service industry, and completes an analysis of the ways of transformation of service of Ningbo's manufacturing industry. The simulation results show that the proposed transformation path method can improve the problems existing in the service transformation of Ningbo manufacturing industry.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"81 1","pages":"1-15"},"PeriodicalIF":1.6,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89215441","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}
In supply chain management, decision support systems and time series forecasting play an essential role. The accuracy of time-series predictions is critical for the performance optimization of every supply chain. This article suggests a method based on state-space modelling (SSM) for structured time series forecasting. Technology and advance implementations of decision support systems (DSS) have improved considerably. DSS has been used as a more restricted functionality of the database, modelling, and user interface, although technical advances made DSS even more effective. Web development has facilitated inter-organizational decision-making support systems and has resulted in many innovative implementations of current technology and many new decision-making technologies. The study of multiple configurations shows that the SSM and DSS are ideal for solving the problem being studied; in particular, the DSS guarantees appropriate prediction errors and a correct computational effort to provide adequate customer order plans.
{"title":"Supply Chain Efficiency and Effectiveness Management Using Decision Support Systems","authors":"Xiangyi Li","doi":"10.4018/ijisscm.304824","DOIUrl":"https://doi.org/10.4018/ijisscm.304824","url":null,"abstract":"In supply chain management, decision support systems and time series forecasting play an essential role. The accuracy of time-series predictions is critical for the performance optimization of every supply chain. This article suggests a method based on state-space modelling (SSM) for structured time series forecasting. Technology and advance implementations of decision support systems (DSS) have improved considerably. DSS has been used as a more restricted functionality of the database, modelling, and user interface, although technical advances made DSS even more effective. Web development has facilitated inter-organizational decision-making support systems and has resulted in many innovative implementations of current technology and many new decision-making technologies. The study of multiple configurations shows that the SSM and DSS are ideal for solving the problem being studied; in particular, the DSS guarantees appropriate prediction errors and a correct computational effort to provide adequate customer order plans.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"56 1","pages":"1-16"},"PeriodicalIF":1.6,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75757104","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}
The optimal productivity model plays a significant role in various supply chain management (SCM) decision support systems. Therefore, the precision of the optimal productivity model is necessary to improve SCM's effectiveness. A factor often ignored is that transactions of certain goods are assembled within an enterprise as dynamic structures of various distribution ratios. Regardless of such structure, optimal model productivity is often produced; however, the productivity model's optimal precision can be enhanced by taking it into account. This focusses on strategic thinking and planning, where various process improvement mechanisms are developed. Therefore, in this study, data envelopment analysis (DEA) has been utilized to enhance supply chain efficiency and effectiveness management. This paper explores an optimal productivity model that evaluates the supply chain efficiency and effectiveness management. This paper discusses the policy preparation demands of the decision support systems and develops a framework that organisations can use to control the implementation process.
{"title":"Supply Chain Efficiency and Effectiveness Management: Decision Support Systems","authors":"Qingwei Yin, Qian Tian","doi":"10.4018/ijisscm.304825","DOIUrl":"https://doi.org/10.4018/ijisscm.304825","url":null,"abstract":"The optimal productivity model plays a significant role in various supply chain management (SCM) decision support systems. Therefore, the precision of the optimal productivity model is necessary to improve SCM's effectiveness. A factor often ignored is that transactions of certain goods are assembled within an enterprise as dynamic structures of various distribution ratios. Regardless of such structure, optimal model productivity is often produced; however, the productivity model's optimal precision can be enhanced by taking it into account. This focusses on strategic thinking and planning, where various process improvement mechanisms are developed. Therefore, in this study, data envelopment analysis (DEA) has been utilized to enhance supply chain efficiency and effectiveness management. This paper explores an optimal productivity model that evaluates the supply chain efficiency and effectiveness management. This paper discusses the policy preparation demands of the decision support systems and develops a framework that organisations can use to control the implementation process.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"5 1","pages":"1-16"},"PeriodicalIF":1.6,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85185088","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}
Digital economy is a rapidly developing economic form under the background of the information age. This article introduces the construction and optimization of the green supply chain management model of agricultural enterprises under the digital economy, and intends to provide some ideas and directions for the development of green supply chain management of agricultural enterprises based on digital economy. This paper proposes the construction and optimization research methods of the green supply chain management model of agricultural enterprises under the digital economy, including the overview of green supply chain management, the construction of the optimization management model of the green supply chain of agricultural enterprises, and the digital economy under the construction of a green supply chain management practice index system for agricultural enterprises. Experimental results show that average Cronbachα value of each scale factor of the optimized management model in this paper is 0.876, and optimized decision-making coordination mechanism has high internal consistency.
{"title":"Construction and Optimization of Green Supply Chain Management Mode of Agricultural Enterprises in the Digital Economy","authors":"Jiang Hu, Xuetao Li","doi":"10.4018/ijisscm.287864","DOIUrl":"https://doi.org/10.4018/ijisscm.287864","url":null,"abstract":"Digital economy is a rapidly developing economic form under the background of the information age. This article introduces the construction and optimization of the green supply chain management model of agricultural enterprises under the digital economy, and intends to provide some ideas and directions for the development of green supply chain management of agricultural enterprises based on digital economy. This paper proposes the construction and optimization research methods of the green supply chain management model of agricultural enterprises under the digital economy, including the overview of green supply chain management, the construction of the optimization management model of the green supply chain of agricultural enterprises, and the digital economy under the construction of a green supply chain management practice index system for agricultural enterprises. Experimental results show that average Cronbachα value of each scale factor of the optimized management model in this paper is 0.876, and optimized decision-making coordination mechanism has high internal consistency.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"77 1","pages":"1-18"},"PeriodicalIF":1.6,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79135283","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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