Thanks for opinion Ilya! The tools and approaches for optimising delivery routes can be complex, but there are already software solutions available, that can automate scheduling, track deliveries in real time, and dynamically adjust routes based on changing conditions. These tools use algorithms, such as heuristics, genetic algorithms, and Monte Carlo simulations, to optimise delivery routes and can take into account a variety of factors, including traffic patterns, weather conditions, and vehicle capacity. While it is true that delivery route optimisation is a challenging task, there are already practical solutions available for businesses to implement.
Thank you for your question Victor Martynov. Delivery companies take into account the human factor in their optimisation process by considering the driver's preferences, needs, and limitations. Some companies even assign the same driver to the same customer to establish a relationship and provide personalized service. However, this puts additional limitations on planning algorithms and scheduling. To mitigate risks, contingency plans are in place in case of driver illness or accidents, such as backup drivers or alternate delivery routes.
Thanks for the question yonatan_sali! Samsung is one of the companies that have successfully applied TRIZ principles in their product development process. In one case, Samsung used TRIZ to improve the design of a washing machine drum. The drum's design had been causing excessive vibration and noise during the spin cycle, leading to customer complaints and returns. Samsung engineers used TRIZ principles to analyse the problem and identified a contradiction between the need for stability and the need for a lighter weight drum to reduce vibrations. Using TRIZ principles, Samsung engineers developed a new design that solved the contradiction by using a double-layered drum with a hollow space in between the two layers. The hollow space was filled with water during the wash cycle, increasing the drum's weight and stability while also reducing vibrations during the spin cycle. This new design not only solved the vibration and noise issues but also led to a more efficient use of water during the wash cycle.
Local knowledge is a valuable asset for dispatchers and delivery drivers as they have a better understanding of the roads, traffic conditions, and any closures or detours. These factors may not be accurately reflected in the AI-powered routing systems. Moreover, the latest changes in orders may not yet be loaded into the system, making it necessary for the dispatchers to rely on their local knowledge to adjust the routes accordingly. By combining the local knowledge with AI-powered systems, logistics companies can optimise their delivery routes more effectively and ensure the success of their operations.
Businesses can choose the most relevant algorithm for their delivery route optimisation problem by considering factors such as the number of deliveries, vehicle capacity, traffic patterns, and time constraints. They should also evaluate the strengths and weaknesses of different algorithms, such as genetic algorithms, ant colony optimisation, and simulated annealing, to find the best fit for their specific needs. Fortunately, businesses can choose from a variety of routing products available in the market that are designed to solve these challenges and provide effective solutions.
I completely agree with your perspective, Leschev. In today's rapidly evolving technological landscape, it's essential to view AI as an additional support tool rather than a competitor. With the right approach, AI can augment human capabilities and enhance our problem-solving skills, leading to increased productivity and efficiency.
Businesses balance the need for mathematical optimisation with real-world factors by considering various practical constraints such as customer preferences, driver availability, and other factors when designing optimisation models. They may use a combination of quantitative analysis and qualitative judgment to ensure that the optimisation models reflect real-world conditions accurately. This may involve collecting data on customer behaviour, driver availability, and other relevant factors, and using that data to inform the optimisation models.
Good question mathbunnyru! Few ideas: - Online Courses: There are many online courses available that teach TRIZ principles and their application in various industries. Platforms like Udemy, Coursera, and LinkedIn Learning offer online courses on TRIZ and its practical applications - TRIZ Books: There are many books available on TRIZ, ranging from introductory guides to more advanced texts. "TRIZ for Dummies" by Lilly Haines-Gadd is a good starting poin - TRIZ Workshops: Many consulting firms and training organizations offer TRIZ workshops and training sessions - TRIZ Certification: There are several organizations that offer TRIZ certification programs, which can be a great way to demonstrate your knowledge and expertise in TRIZ. The Altshuller Institute and the TRIZ Journal both offer certification programs
Thanks for opinion Ilya! The tools and approaches for optimising delivery routes can be complex, but there are already software solutions available, that can automate scheduling, track deliveries in real time, and dynamically adjust routes based on changing conditions. These tools use algorithms, such as heuristics, genetic algorithms, and Monte Carlo simulations, to optimise delivery routes and can take into account a variety of factors, including traffic patterns, weather conditions, and vehicle capacity. While it is true that delivery route optimisation is a challenging task, there are already practical solutions available for businesses to implement.
Thank you for your question Victor Martynov. Delivery companies take into account the human factor in their optimisation process by considering the driver's preferences, needs, and limitations. Some companies even assign the same driver to the same customer to establish a relationship and provide personalized service. However, this puts additional limitations on planning algorithms and scheduling. To mitigate risks, contingency plans are in place in case of driver illness or accidents, such as backup drivers or alternate delivery routes.
Thanks for the question yonatan_sali! Samsung is one of the companies that have successfully applied TRIZ principles in their product development process. In one case, Samsung used TRIZ to improve the design of a washing machine drum. The drum's design had been causing excessive vibration and noise during the spin cycle, leading to customer complaints and returns. Samsung engineers used TRIZ principles to analyse the problem and identified a contradiction between the need for stability and the need for a lighter weight drum to reduce vibrations. Using TRIZ principles, Samsung engineers developed a new design that solved the contradiction by using a double-layered drum with a hollow space in between the two layers. The hollow space was filled with water during the wash cycle, increasing the drum's weight and stability while also reducing vibrations during the spin cycle. This new design not only solved the vibration and noise issues but also led to a more efficient use of water during the wash cycle.
Local knowledge is a valuable asset for dispatchers and delivery drivers as they have a better understanding of the roads, traffic conditions, and any closures or detours. These factors may not be accurately reflected in the AI-powered routing systems. Moreover, the latest changes in orders may not yet be loaded into the system, making it necessary for the dispatchers to rely on their local knowledge to adjust the routes accordingly. By combining the local knowledge with AI-powered systems, logistics companies can optimise their delivery routes more effectively and ensure the success of their operations.
Businesses can choose the most relevant algorithm for their delivery route optimisation problem by considering factors such as the number of deliveries, vehicle capacity, traffic patterns, and time constraints. They should also evaluate the strengths and weaknesses of different algorithms, such as genetic algorithms, ant colony optimisation, and simulated annealing, to find the best fit for their specific needs. Fortunately, businesses can choose from a variety of routing products available in the market that are designed to solve these challenges and provide effective solutions.
I completely agree with your perspective, Leschev. In today's rapidly evolving technological landscape, it's essential to view AI as an additional support tool rather than a competitor. With the right approach, AI can augment human capabilities and enhance our problem-solving skills, leading to increased productivity and efficiency.
Businesses balance the need for mathematical optimisation with real-world factors by considering various practical constraints such as customer preferences, driver availability, and other factors when designing optimisation models. They may use a combination of quantitative analysis and qualitative judgment to ensure that the optimisation models reflect real-world conditions accurately. This may involve collecting data on customer behaviour, driver availability, and other relevant factors, and using that data to inform the optimisation models.
Good question mathbunnyru! Few ideas:
- Online Courses: There are many online courses available that teach TRIZ principles and their application in various industries. Platforms like Udemy, Coursera, and LinkedIn Learning offer online courses on TRIZ and its practical applications
- TRIZ Books: There are many books available on TRIZ, ranging from introductory guides to more advanced texts. "TRIZ for Dummies" by Lilly Haines-Gadd is a good starting poin
- TRIZ Workshops: Many consulting firms and training organizations offer TRIZ workshops and training sessions
- TRIZ Certification: There are several organizations that offer TRIZ certification programs, which can be a great way to demonstrate your knowledge and expertise in TRIZ. The Altshuller Institute and the TRIZ Journal both offer certification programs
I really love the fact that there are common principles of problem-solving that can be applied to both puzzles and product management.
Thank you, Lera. It is interesting that TRIZ is still useful since its invention in the 1940s.