Interactive and graphic implementations of the dedicated storage warehouse design model
Computers and Industrial Engineering
Decision support system for strategic logistics planning
Computers in Industry
An empirical investigation into DSS structures and environments
Decision Support Systems
Past, present, and future of decision support technology
Decision Support Systems - Special issue: Decision support systems: Directions for the next decade
Simulation in the supply chain context: a survey
Computers in Industry
A work system view of DSS in its fourth decade
Decision Support Systems
Developing maintainable software: the READABLE approach
Decision Support Systems
Eight key issues for the decision support systems discipline
Decision Support Systems
A decision-support tool for a capacitated location-routing problem
Decision Support Systems
Decision support in intermodal transport: A new research agenda
Computers in Industry
| Hi-index | 0.00 |
The issue of material handling involves the design and operative control of warehousing systems (i.e., distribution centres), which allow matching vendors and demands, smoothing with seasonality, consolidating products and arranging distribution activities. Warehousing systems play a crucial role in providing efficiency and customer satisfaction. The warehouse design entails a wide set of decisions, which involve layout constraints and operative issues that seriously affect the performances and the overall logistics costs. This study presents an original decision-support system (DSS) for the design, management, and control of warehousing systems. Specifically, the proposed DSS implements a top-down methodology that considers both strategic warehouse design and operative operations management. The DSS can simulate the logistics and material handling performances of a warehousing system. Heuristic methods and algorithms address several critical warehouse issues, such as the order picking process, which is responsible for 55% of the overall costs in a distribution centre. The benefits due to the adoption of the proposed decision-support system are summarised as a dashboard of key performance indicators (KPIs) of space and time efficiency that allow logistics providers, practitioners, and managers as well as academicians and educators to face real-world warehousing instances and to find useful guidelines for material handling.