As a southwestern border province of China,Yunnan is featured by the geographical advantage of proximity to the Indo-China Peninsula which is known as World Rice Warehouse,and its capital and technology are ahead of t...As a southwestern border province of China,Yunnan is featured by the geographical advantage of proximity to the Indo-China Peninsula which is known as World Rice Warehouse,and its capital and technology are ahead of the neighboring countries of China.Therefore,to enhance its support capability in consolidating and improving the national food security strategy,Yunnan should further develop its comparative advantages by building the regional food industry chain and supply chain depending on the province's grain system of production,processing,storage and transportation,as well as its agricultural economic and trade cooperation platforms and channels with the neighboring countries of China.In this study,comparative analysis and related methods were used to systematically analyze the scale of grain production in Yunnan,the proportion of its grain production to the national total amount,the transition of its grain variety structure and the characteristics of its food security system,as well as the grain export trade of the 6 countries in the Indo-China Peninsula from 2010 to 2019.Then,the problems in grain production in Yunnan were clarified,such as the decrease of grain ration production capacity,the decline of comparative benefits of grain production and the insufficient support for agricultural"going global"strategy.Finally,a series of countermeasures were put forward,including further implementing the strategy of"reserving grain in land and technology"to increase Yunnan's production capacity of grain,focusing on agricultural products storage and transportation system to improve the ability to obtain grain from abroad,expanding the border processing and logistics industry,optimizing the policy of agricultural products'import and export,and etc.展开更多
Information and communication technology （ICT） has been considered as an enabling tool for having more effective and efficient operations in the management of logistics and supply chains for many years. Various info...Information and communication technology （ICT） has been considered as an enabling tool for having more effective and efficient operations in the management of logistics and supply chains for many years. Various information and communication technologies are used to improve perfor- mance of the logistics and supply chain network, such as ＂data mining＂, ＂radio frequency identification （RFID）＂, ＂machine learning＂, ＂smart transportation＂. While ICT systems are vital components in logistics and supply chains, their successful management rests on intelligent and inte- grated decision making throughout the logistics network. Intelligent decision technologies are applied to collect and store real-time data and then analyze and interpret the data and information of product, inventory, manufacturing and sales to discover useful knowledge for making better operation and management decisions. Advanced simulation and optimization of planning and scheduling systems are also used for improvement of inventory, production, pro-curement, and distribution planning. Intelligent agents can communicate with different partners in the supply chain, assist in collecting information, share product information, negotiate prices, and distribute alerts throughout the logis- tics and supply chains networks.展开更多
This paper proposes a Delivery Service Management(DSM)system for Small and Medium Enterprises(SMEs)that own a delivery fleet of pickup trucks to manage Business-to-Business(B2B)delivery services.The proposed DSM syste...This paper proposes a Delivery Service Management(DSM)system for Small and Medium Enterprises(SMEs)that own a delivery fleet of pickup trucks to manage Business-to-Business(B2B)delivery services.The proposed DSM system integrates four systems:Delivery Location Positioning(DLP),Delivery Route Planning(DRP),Arrival Time Prediction(ATP),and Communication and Data Sharing(CDS)systems.These systems are used to pinpoint the delivery locations of customers,plan the delivery route of each truck,predict arrival time(with an interval)at each delivery location,and communicate and share information among stakeholders,respectively.The DSM system deploys Google applications,a GPS tracking system,Google Map APIs,ATP algorithms(embedded in Excel Macros),Line,and Telegram as supporting tools.To improve the accuracy of the ATP system,three tech-niques are applied considering driver behaviors.The proposed DSM system has been implemented in a Thai SME.From the process perspective,the DSM system is a systematic procedure for end-to-end delivery services.It allows the interactions between planner-driver decisions and supporting tools.The supporting tools are simple,can be easily used with little training,and require low capital expenditure.The statistical analysis shows that the ATP algorithm with the three techniques provides high accuracy.Thus,the proposed DSM system is beneficial for practitioners to manage delivery services,especially for SMEs in emerging countries.展开更多
基金Supported by the Construction of Think Tank for Yunnan Agricultural Development and Policy Research on Science and Technology Management(202102AE090036-15)the Research Project of Yunnan Provincial Committee of Jiusan Society(YN93/2020018)the Talent Project for Yunling Scholars(YNWR-YLXZ-2019-013)。
文摘As a southwestern border province of China,Yunnan is featured by the geographical advantage of proximity to the Indo-China Peninsula which is known as World Rice Warehouse,and its capital and technology are ahead of the neighboring countries of China.Therefore,to enhance its support capability in consolidating and improving the national food security strategy,Yunnan should further develop its comparative advantages by building the regional food industry chain and supply chain depending on the province's grain system of production,processing,storage and transportation,as well as its agricultural economic and trade cooperation platforms and channels with the neighboring countries of China.In this study,comparative analysis and related methods were used to systematically analyze the scale of grain production in Yunnan,the proportion of its grain production to the national total amount,the transition of its grain variety structure and the characteristics of its food security system,as well as the grain export trade of the 6 countries in the Indo-China Peninsula from 2010 to 2019.Then,the problems in grain production in Yunnan were clarified,such as the decrease of grain ration production capacity,the decline of comparative benefits of grain production and the insufficient support for agricultural"going global"strategy.Finally,a series of countermeasures were put forward,including further implementing the strategy of"reserving grain in land and technology"to increase Yunnan's production capacity of grain,focusing on agricultural products storage and transportation system to improve the ability to obtain grain from abroad,expanding the border processing and logistics industry,optimizing the policy of agricultural products'import and export,and etc.
文摘Information and communication technology （ICT） has been considered as an enabling tool for having more effective and efficient operations in the management of logistics and supply chains for many years. Various information and communication technologies are used to improve perfor- mance of the logistics and supply chain network, such as ＂data mining＂, ＂radio frequency identification （RFID）＂, ＂machine learning＂, ＂smart transportation＂. While ICT systems are vital components in logistics and supply chains, their successful management rests on intelligent and inte- grated decision making throughout the logistics network. Intelligent decision technologies are applied to collect and store real-time data and then analyze and interpret the data and information of product, inventory, manufacturing and sales to discover useful knowledge for making better operation and management decisions. Advanced simulation and optimization of planning and scheduling systems are also used for improvement of inventory, production, pro-curement, and distribution planning. Intelligent agents can communicate with different partners in the supply chain, assist in collecting information, share product information, negotiate prices, and distribute alerts throughout the logis- tics and supply chains networks.
文摘This paper proposes a Delivery Service Management(DSM)system for Small and Medium Enterprises(SMEs)that own a delivery fleet of pickup trucks to manage Business-to-Business(B2B)delivery services.The proposed DSM system integrates four systems:Delivery Location Positioning(DLP),Delivery Route Planning(DRP),Arrival Time Prediction(ATP),and Communication and Data Sharing(CDS)systems.These systems are used to pinpoint the delivery locations of customers,plan the delivery route of each truck,predict arrival time(with an interval)at each delivery location,and communicate and share information among stakeholders,respectively.The DSM system deploys Google applications,a GPS tracking system,Google Map APIs,ATP algorithms(embedded in Excel Macros),Line,and Telegram as supporting tools.To improve the accuracy of the ATP system,three tech-niques are applied considering driver behaviors.The proposed DSM system has been implemented in a Thai SME.From the process perspective,the DSM system is a systematic procedure for end-to-end delivery services.It allows the interactions between planner-driver decisions and supporting tools.The supporting tools are simple,can be easily used with little training,and require low capital expenditure.The statistical analysis shows that the ATP algorithm with the three techniques provides high accuracy.Thus,the proposed DSM system is beneficial for practitioners to manage delivery services,especially for SMEs in emerging countries.
