Andere Kunden interessierten sich auch für
![Heuristics for the vehicle routing problem with multiple deliverymen]( "Heuristics for the vehicle routing problem with multiple deliverymen")
Heuristics for the vehicle routing problem with multiple deliverymen27,95 €![The Service Routing Problem]( "The Service Routing Problem")
The Service Routing Problem30,99 €![Vehicle Routing Problem with Time Windows. Route Construction and Local Search Algorithms]( "Vehicle Routing Problem with Time Windows. Route Construction and Local Search Algorithms")
Vehicle Routing Problem with Time Windows. Route Construction and Local Search Algorithms18,95 €![Robust inventory routing under demand uncertainty]( "Robust inventory routing under demand uncertainty")
Robust inventory routing under demand uncertainty18,95 €![Demand Forecasting and Inventory Management in the Food Industry]( "Demand Forecasting and Inventory Management in the Food Industry")
Demand Forecasting and Inventory Management in the Food Industry29,99 €![Employee turnover intention. Empirical evidence from the Savings and Loans Companies in Ghana]( "Employee turnover intention. Empirical evidence from the Savings and Loans Companies in Ghana")
Employee turnover intention. Empirical evidence from the Savings and Loans Companies in Ghana52,95 €![Strategies of 20 African American Women in the $100K Savings Club]( "Strategies of 20 African American Women in the $100K Savings Club")
Strategies of 20 African American Women in the $100K Savings Club44,99 €
The Inventory Routing is a combination of the Vehicle Routing Problem and the Lot-Sizing problem. It combines both optimization approaches in order to find an optimal solution for a transportation and storing problem. Area of application is a single product delivered from a central depot to multiple customers by identical vehicles with limited capacity and route length. With the generated algorithm written in the computer language Java it is possible to solve the problem with drastic savings of time and at a close to optimal outcome, compared to solving Mixed Integer Problems solved with conventional optimization software. The created algorithm uses the Savings Heuristic to find the best solution.