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This study relied heavily on online customer evaluations to uncover a problem with perfume bottle gripping comfort, which was restricting customer readiness to purchase. The lack of ergonomic design in high capacity perfume bottles due to improper dimension was the primary cause of problems with comfortable gripping. A rectangular-shaped bottle was chosen as the study s basis by local users in a preference poll. Taguchi designed his experiment based on the extraction of dimensions from a rectangular bottle. Bottle samples were created utilizing the rapid prototyping (RP) technology – 3D Printer based on the experimental design. On bottle samples for grip comfort, Kansei words were used to elicit client feelings. Grey relational analysis was utilized in this study to evaluate the replies and determine the right dimension elements that resulted in the most pleasant grip and ergonomically built perfume bottle. The perfume bottle s optimized design will improve customer readiness to purchase and decrease overstock inventory.

This study relied heavily on online customer evaluations to uncover a problem with perfume bottle gripping comfort, which was restricting customer readiness to purchase. The lack of ergonomic design in high capacity perfume bottles due to improper dimension was the primary cause of problems with comfortable gripping. A rectangular-shaped bottle was chosen as the study s basis by local users in a preference poll. Taguchi designed his experiment based on the extraction of dimensions from a rectangular bottle. Bottle samples were created utilizing the rapid prototyping (RP) technology – 3D Printer based on the experimental design. On bottle samples for grip comfort, Kansei words were used to elicit client feelings. Grey relational analysis was utilized in this study to evaluate the replies and determine the right dimension elements that resulted in the most pleasant grip and ergonomically built perfume bottle. The perfume bottle s optimized design will improve customer readiness to purchase and decrease overstock inventory.

This study relied heavily on online customer evaluations to uncover a problem with perfume bottle gripping comfort, which was restricting customer readiness to purchase. The lack of ergonomic design in high capacity perfume bottles due to improper dimension was the primary cause of problems with comfortable gripping. A rectangular-shaped bottle was chosen as the study s basis by local users in a preference poll. Taguchi designed his experiment based on the extraction of dimensions from a rectangular bottle. Bottle samples were created utilizing the rapid prototyping (RP) technology – 3D Printer based on the experimental design. On bottle samples for grip comfort, Kansei words were used to elicit client feelings. Grey relational analysis was utilized in this study to evaluate the replies and determine the right dimension elements that resulted in the most pleasant grip and ergonomically built perfume bottle. The perfume bottle s optimized design will improve customer readiness to purchase and decrease overstock inventory.

This study relied heavily on online customer evaluations to uncover a problem with perfume bottle gripping comfort, which was restricting customer readiness to purchase. The lack of ergonomic design in high capacity perfume bottles due to improper dimension was the primary cause of problems with comfortable gripping. A rectangular-shaped bottle was chosen as the study s basis by local users in a preference poll. Taguchi designed his experiment based on the extraction of dimensions from a rectangular bottle. Bottle samples were created utilizing the rapid prototyping (RP) technology – 3D Printer based on the experimental design. On bottle samples for grip comfort, Kansei words were used to elicit client feelings. Grey relational analysis was utilized in this study to evaluate the replies and determine the right dimension elements that resulted in the most pleasant grip and ergonomically built perfume bottle. The perfume bottle s optimized design will improve customer readiness to purchase and decrease overstock inventory.

This study relied heavily on online customer evaluations to uncover a problem with perfume bottle gripping comfort, which was restricting customer readiness to purchase. The lack of ergonomic design in high capacity perfume bottles due to improper dimension was the primary cause of problems with comfortable gripping. A rectangular-shaped bottle was chosen as the study s basis by local users in a preference poll. Taguchi designed his experiment based on the extraction of dimensions from a rectangular bottle. Bottle samples were created utilizing the rapid prototyping (RP) technology – 3D Printer based on the experimental design. On bottle samples for grip comfort, Kansei words were used to elicit client feelings. Grey relational analysis was utilized in this study to evaluate the replies and determine the right dimension elements that resulted in the most pleasant grip and ergonomically built perfume bottle. The perfume bottle s optimized design will improve customer readiness to purchase and decrease overstock inventory.

Unmanned Aerial Vehicle (UAV) or sometimes called drone flying robot can fly thousands of kilometres according to the specific characteristics provided. Currently, many applications of drone have been obviously seen in the industrial activities. To accomplish those activities completely, the flight time of the robotic aircraft should be long enough. In practice, one of the most crucial problems is on the flight time, and most of the drones are powered by Li-Po batteries which only powers drone up to 25-30 minutes for a single flying cycle. The drone is forced to come back to the station as quickly as possible for removing and recharging battery, and of course, all these tasks are done manually by human. Loading and unloading battery from the socket compartment frequently where the force is applied with a random direction might destroy the contact area between the battery and the socket surface. This has the direct effect on keeping the battery in place, and the clipper or lock system might be loosed. These effects will let the battery fall down accidentally during flying. To solve that problem, this research proposed the alternative conceptual design of a small power station to load and unload battery from the drone’s mainframe automatically with a constant force. The proposed design platform provides six battery storages which can support the drone to fly back to the sky continuously without waiting. To do this, product design and development (PDD) concept and Kano analysis method have been used to generate the conceptual design where the necessary compartments are listed properly without trial-and-error thinking process. DJI Matrice 100 drone specification was applied to as a case study to scope the limitations where design of the small power station consists of two main functions: drone positioning, and battery exchange mechanism. For investigating whether or not the developed platform could support the load distributed during landing, the finite element analysis

Currently, while the world is doing revolution from industry 3.0 to industry 4.0 that is a concept of digitization, IoT platform has been considered and continuously revaluated to make people feel more comfortable and safer. Presented in this research are about the applications of IoT which are expressed through three case studies: smart cold room, smart bag, and smart UV box. The notification for announcing the defected items or failed conditions occurred can be quickly shown on the screen of the mobile phone. The ability of mobile/network controlling system of IoT can help the user to prevent exposing the radiation, heat or dangerous situation directly face to face, since the machine or device can be controlled its functions from anywhere around the world. Advantages and disadvantages of IoT applications will be presented and discussed in this research.

Currently, while the world is doing revolution from industry 3.0 to industry 4.0 that is a concept of digitization, IoT platform has been considered and continuously revaluated to make people feel more comfortable and safer. Presented in this research are about the applications of IoT which are expressed through three case studies: smart cold room, smart bag, and smart UV box. The notification for announcing the defected items or failed conditions occurred can be quickly shown on the screen of the mobile phone. The ability of mobile/network controlling system of IoT can help the user to prevent exposing the radiation, heat or dangerous situation directly face to face, since the machine or device can be controlled its functions from anywhere around the world. Advantages and disadvantages of IoT applications will be presented and discussed in this research.

Unmanned Aerial Vehicle (UAV) or sometimes called drone flying robot can fly thousands of kilometres according to the specific characteristics provided. Currently, many applications of drone have been obviously seen in the industrial activities. To accomplish those activities completely, the flight time of the robotic aircraft should be long enough. In practice, one of the most crucial problems is on the flight time, and most of the drones are powered by Li-Po batteries which only powers drone up to 25-30 minutes for a single flying cycle. The drone is forced to come back to the station as quickly as possible for removing and recharging battery, and of course, all these tasks are done manually by human. Loading and unloading battery from the socket compartment frequently where the force is applied with a random direction might destroy the contact area between the battery and the socket surface. This has the direct effect on keeping the battery in place, and the clipper or lock system might be loosed. These effects will let the battery fall down accidentally during flying. To solve that problem, this research proposed the alternative conceptual design of a small power station to load and unload battery from the drone’s mainframe automatically with a constant force. The proposed design platform provides six battery storages which can support the drone to fly back to the sky continuously without waiting. To do this, product design and development (PDD) concept and Kano analysis method have been used to generate the conceptual design where the necessary compartments are listed properly without trial-and-error thinking process. DJI Matrice 100 drone specification was applied to as a case study to scope the limitations where design of the small power station consists of two main functions: drone positioning, and battery exchange mechanism. For investigating whether or not the developed platform could support the load distributed during landing, the finite element analysis

Unmanned Aerial Vehicle (UAV) or sometimes called drone flying robot can fly thousands of kilometres according to the specific characteristics provided. Currently, many applications of drone have been obviously seen in the industrial activities. To accomplish those activities completely, the flight time of the robotic aircraft should be long enough. In practice, one of the most crucial problems is on the flight time, and most of the drones are powered by Li-Po batteries which only powers drone up to 25-30 minutes for a single flying cycle. The drone is forced to come back to the station as quickly as possible for removing and recharging battery, and of course, all these tasks are done manually by human. Loading and unloading battery from the socket compartment frequently where the force is applied with a random direction might destroy the contact area between the battery and the socket surface. This has the direct effect on keeping the battery in place, and the clipper or lock system might be loosed. These effects will let the battery fall down accidentally during flying. To solve that problem, this research proposed the alternative conceptual design of a small power station to load and unload battery from the drone’s mainframe automatically with a constant force. The proposed design platform provides six battery storages which can support the drone to fly back to the sky continuously without waiting. To do this, product design and development (PDD) concept and Kano analysis method have been used to generate the conceptual design where the necessary compartments are listed properly without trial-and-error thinking process. DJI Matrice 100 drone specification was applied to as a case study to scope the limitations where design of the small power station consists of two main functions: drone positioning, and battery exchange mechanism. For investigating whether or not the developed platform could support the load distributed during landing, the finite element analysis

Currently, while the world is doing revolution from industry 3.0 to industry 4.0 that is a concept of digitization, IoT platform has been considered and continuously revaluated to make people feel more comfortable and safer. Presented in this research are about the applications of IoT which are expressed through three case studies: smart cold room, smart bag, and smart UV box. The notification for announcing the defected items or failed conditions occurred can be quickly shown on the screen of the mobile phone. The ability of mobile/network controlling system of IoT can help the user to prevent exposing the radiation, heat or dangerous situation directly face to face, since the machine or device can be controlled its functions from anywhere around the world. Advantages and disadvantages of IoT applications will be presented and discussed in this research.

Unmanned Aerial Vehicle (UAV) or sometimes called drone flying robot can fly thousands of kilometres according to the specific characteristics provided. Currently, many applications of drone have been obviously seen in the industrial activities. To accomplish those activities completely, the flight time of the robotic aircraft should be long enough. In practice, one of the most crucial problems is on the flight time, and most of the drones are powered by Li-Po batteries which only powers drone up to 25-30 minutes for a single flying cycle. The drone is forced to come back to the station as quickly as possible for removing and recharging battery, and of course, all these tasks are done manually by human. Loading and unloading battery from the socket compartment frequently where the force is applied with a random direction might destroy the contact area between the battery and the socket surface. This has the direct effect on keeping the battery in place, and the clipper or lock system might be loosed. These effects will let the battery fall down accidentally during flying. To solve that problem, this research proposed the alternative conceptual design of a small power station to load and unload battery from the drone’s mainframe automatically with a constant force. The proposed design platform provides six battery storages which can support the drone to fly back to the sky continuously without waiting. To do this, product design and development (PDD) concept and Kano analysis method have been used to generate the conceptual design where the necessary compartments are listed properly without trial-and-error thinking process. DJI Matrice 100 drone specification was applied to as a case study to scope the limitations where design of the small power station consists of two main functions: drone positioning, and battery exchange mechanism. For investigating whether or not the developed platform could support the load distributed during landing, the finite element analysis

Currently, while the world is doing revolution from industry 3.0 to industry 4.0 that is a concept of digitization, IoT platform has been considered and continuously revaluated to make people feel more comfortable and safer. Presented in this research are about the applications of IoT which are expressed through three case studies: smart cold room, smart bag, and smart UV box. The notification for announcing the defected items or failed conditions occurred can be quickly shown on the screen of the mobile phone. The ability of mobile/network controlling system of IoT can help the user to prevent exposing the radiation, heat or dangerous situation directly face to face, since the machine or device can be controlled its functions from anywhere around the world. Advantages and disadvantages of IoT applications will be presented and discussed in this research.

Unmanned Aerial Vehicle (UAV) or sometimes called drone flying robot can fly thousands of kilometres according to the specific characteristics provided. Currently, many applications of drone have been obviously seen in the industrial activities. To accomplish those activities completely, the flight time of the robotic aircraft should be long enough. In practice, one of the most crucial problems is on the flight time, and most of the drones are powered by Li-Po batteries which only powers drone up to 25-30 minutes for a single flying cycle. The drone is forced to come back to the station as quickly as possible for removing and recharging battery, and of course, all these tasks are done manually by human. Loading and unloading battery from the socket compartment frequently where the force is applied with a random direction might destroy the contact area between the battery and the socket surface. This has the direct effect on keeping the battery in place, and the clipper or lock system might be loosed. These effects will let the battery fall down accidentally during flying. To solve that problem, this research proposed the alternative conceptual design of a small power station to load and unload battery from the drone’s mainframe automatically with a constant force. The proposed design platform provides six battery storages which can support the drone to fly back to the sky continuously without waiting. To do this, product design and development (PDD) concept and Kano analysis method have been used to generate the conceptual design where the necessary compartments are listed properly without trial-and-error thinking process. DJI Matrice 100 drone specification was applied to as a case study to scope the limitations where design of the small power station consists of two main functions: drone positioning, and battery exchange mechanism. For investigating whether or not the developed platform could support the load distributed during landing, the finite element analysis

Currently, while the world is doing revolution from industry 3.0 to industry 4.0 that is a concept of digitization, IoT platform has been considered and continuously revaluated to make people feel more comfortable and safer. Presented in this research are about the applications of IoT which are expressed through three case studies: smart cold room, smart bag, and smart UV box. The notification for announcing the defected items or failed conditions occurred can be quickly shown on the screen of the mobile phone. The ability of mobile/network controlling system of IoT can help the user to prevent exposing the radiation, heat or dangerous situation directly face to face, since the machine or device can be controlled its functions from anywhere around the world. Advantages and disadvantages of IoT applications will be presented and discussed in this research.

Prototype of computational fluid dynamics (CFD) simulation for mini cold storage system is a solution to help and solve many problems in supply chain network such as product quality, product loss, shelf-life and reduce energy consumption. Various factors cause fruit and vegetable spoilage. Sufficient ventilation, heat, light, humidity and temperature may affect both safety and quality of those fruits and vegetables. To prevent the situation that the fruit and vegetable are unsuitable for consumption or they decay or go bad quickly, keeping sensitive items in proper temperature-controlled storage system is recommended. From research study main parameter is used to evaluate the result obtained from CFD, such as temperature, velocity, relative humidity (RH), three different layouts designed (A, B, and C), two packaging (24KG and 45KG) and capacities loaded are considered in the analysis. Then, a newly proposed performance index is used to compare and choose the optimum design layout from the simulation result.

Prototype of computational fluid dynamics (CFD) simulation for mini cold storage system is a solution to help and solve many problems in supply chain network such as product quality, product loss, shelf-life and reduce energy consumption. Various factors cause fruit and vegetable spoilage. Sufficient ventilation, heat, light, humidity and temperature may affect both safety and quality of those fruits and vegetables. To prevent the situation that the fruit and vegetable are unsuitable for consumption or they decay or go bad quickly, keeping sensitive items in proper temperature-controlled storage system is recommended. From research study main parameter is used to evaluate the result obtained from CFD, such as temperature, velocity, relative humidity (RH), three different layouts designed (A, B, and C), two packaging (24KG and 45KG) and capacities loaded are considered in the analysis. Then, a newly proposed performance index is used to compare and choose the optimum design layout from the simulation result.

Prototype of computational fluid dynamics (CFD) simulation for mini cold storage system is a solution to help and solve many problems in supply chain network such as product quality, product loss, shelf-life and reduce energy consumption. Various factors cause fruit and vegetable spoilage. Sufficient ventilation, heat, light, humidity and temperature may affect both safety and quality of those fruits and vegetables. To prevent the situation that the fruit and vegetable are unsuitable for consumption or they decay or go bad quickly, keeping sensitive items in proper temperature-controlled storage system is recommended. From research study main parameter is used to evaluate the result obtained from CFD, such as temperature, velocity, relative humidity (RH), three different layouts designed (A, B, and C), two packaging (24KG and 45KG) and capacities loaded are considered in the analysis. Then, a newly proposed performance index is used to compare and choose the optimum design layout from the simulation result.

Prototype of computational fluid dynamics (CFD) simulation for mini cold storage system is a solution to help and solve many problems in supply chain network such as product quality, product loss, shelf-life and reduce energy consumption. Various factors cause fruit and vegetable spoilage. Sufficient ventilation, heat, light, humidity and temperature may affect both safety and quality of those fruits and vegetables. To prevent the situation that the fruit and vegetable are unsuitable for consumption or they decay or go bad quickly, keeping sensitive items in proper temperature-controlled storage system is recommended. From research study main parameter is used to evaluate the result obtained from CFD, such as temperature, velocity, relative humidity (RH), three different layouts designed (A, B, and C), two packaging (24KG and 45KG) and capacities loaded are considered in the analysis. Then, a newly proposed performance index is used to compare and choose the optimum design layout from the simulation result.

Prototype of computational fluid dynamics (CFD) simulation for mini cold storage system is a solution to help and solve many problems in supply chain network such as product quality, product loss, shelf-life and reduce energy consumption. Various factors cause fruit and vegetable spoilage. Sufficient ventilation, heat, light, humidity and temperature may affect both safety and quality of those fruits and vegetables. To prevent the situation that the fruit and vegetable are unsuitable for consumption or they decay or go bad quickly, keeping sensitive items in proper temperature-controlled storage system is recommended. From research study main parameter is used to evaluate the result obtained from CFD, such as temperature, velocity, relative humidity (RH), three different layouts designed (A, B, and C), two packaging (24KG and 45KG) and capacities loaded are considered in the analysis. Then, a newly proposed performance index is used to compare and choose the optimum design layout from the simulation result.

The ITND model developed in this study addresses the construction of the intermodal transportation network and finding the transportation routes for each commodity from the origin to destination. The objective function was to minimize the total cost, including the fixed transportation cost, the variable transportation cost, the emission cost, and the transfer cost. The model also included the node capacity constraints, the detour constraints, and the vehicle utilization constraints. The model was tested with data from the south of Viet Nam transportation network. Multiple experiments were conducted in order to observe the effect of each constraint and the characteristics of the model with different constraint set. The results show that by including all constraints to the model, the resulting network perform better in terms of terminal capacity (and traffic), additional transportation distance (detour), and vehicle utilization, with the expense of increasing the total cost by 20%. In addition, fuzzy factor was incorporated to the model and analyzed in order to better understand the model under uncertainty.

The ITND model developed in this study addresses the construction of the intermodal transportation network and finding the transportation routes for each commodity from the origin to destination. The objective function was to minimize the total cost, including the fixed transportation cost, the variable transportation cost, the emission cost, and the transfer cost. The model also included the node capacity constraints, the detour constraints, and the vehicle utilization constraints. The model was tested with data from the south of Viet Nam transportation network. Multiple experiments were conducted in order to observe the effect of each constraint and the characteristics of the model with different constraint set. The results show that by including all constraints to the model, the resulting network perform better in terms of terminal capacity (and traffic), additional transportation distance (detour), and vehicle utilization, with the expense of increasing the total cost by 20%. In addition, fuzzy factor was incorporated to the model and analyzed in order to better understand the model under uncertainty.

The ITND model developed in this study addresses the construction of the intermodal transportation network and finding the transportation routes for each commodity from the origin to destination. The objective function was to minimize the total cost, including the fixed transportation cost, the variable transportation cost, the emission cost, and the transfer cost. The model also included the node capacity constraints, the detour constraints, and the vehicle utilization constraints. The model was tested with data from the south of Viet Nam transportation network. Multiple experiments were conducted in order to observe the effect of each constraint and the characteristics of the model with different constraint set. The results show that by including all constraints to the model, the resulting network perform better in terms of terminal capacity (and traffic), additional transportation distance (detour), and vehicle utilization, with the expense of increasing the total cost by 20%. In addition, fuzzy factor was incorporated to the model and analyzed in order to better understand the model under uncertainty.

The ITND model developed in this study addresses the construction of the intermodal transportation network and finding the transportation routes for each commodity from the origin to destination. The objective function was to minimize the total cost, including the fixed transportation cost, the variable transportation cost, the emission cost, and the transfer cost. The model also included the node capacity constraints, the detour constraints, and the vehicle utilization constraints. The model was tested with data from the south of Viet Nam transportation network. Multiple experiments were conducted in order to observe the effect of each constraint and the characteristics of the model with different constraint set. The results show that by including all constraints to the model, the resulting network perform better in terms of terminal capacity (and traffic), additional transportation distance (detour), and vehicle utilization, with the expense of increasing the total cost by 20%. In addition, fuzzy factor was incorporated to the model and analyzed in order to better understand the model under uncertainty.

The ITND model developed in this study addresses the construction of the intermodal transportation network and finding the transportation routes for each commodity from the origin to destination. The objective function was to minimize the total cost, including the fixed transportation cost, the variable transportation cost, the emission cost, and the transfer cost. The model also included the node capacity constraints, the detour constraints, and the vehicle utilization constraints. The model was tested with data from the south of Viet Nam transportation network. Multiple experiments were conducted in order to observe the effect of each constraint and the characteristics of the model with different constraint set. The results show that by including all constraints to the model, the resulting network perform better in terms of terminal capacity (and traffic), additional transportation distance (detour), and vehicle utilization, with the expense of increasing the total cost by 20%. In addition, fuzzy factor was incorporated to the model and analyzed in order to better understand the model under uncertainty.