Constraint satisfaction in logic programming
Constraint satisfaction in logic programming
Constraint logic programming languages
Communications of the ACM
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Artificial intelligence (3rd ed.)
Artificial intelligence (3rd ed.)
The split delivery vehicle scheduling problem with time windows and grid network distances
Computers and Operations Research
Multicriteria pickup and delivery problem with transfer opportunity
Computers and Industrial Engineering
Computers and Operations Research
The application of analytic process of resource in an AGV scheduling
Proceedings of the 23rd international conference on on Computers and industrial engineering
A parallel evolutionary algorithm for the vehicle routing problem with heterogeneous fleet
Future Generation Computer Systems - Special issue: Bio-inspired solutions to parallel processing problems
Towards a model and algorithm management system for vehicle routing and scheduling problems
Decision Support Systems
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
A solution of the bicriteria vehicle scheduling problems with time and area-dependent travel speeds
Computers and Industrial Engineering
A comparison of different solution approaches to the vehicle scheduling problem in a practical case
Computers and Operations Research
Swarm intelligence
Introduction to Mathematical Programming: Applications and Algorithms
Introduction to Mathematical Programming: Applications and Algorithms
Look-ahead value ordering for constraint satisfaction problems
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Intelligent resource simulation for an airport check-in counterallocation system
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A multilevel machine and vehicle scheduling in a flexible manufacturing system
Mathematical and Computer Modelling: An International Journal
A robot decision making framework using constraint programming
Artificial Intelligence Review
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Companies that provide crane-lorry services are faced with the daily need to perform vehicle and driver allocation and scheduling. Many companies still do this manually due to the lack of suitable technologies. This manual approach is both time consuming and inaccurate and most probably will not lead to an optimized plan that can reduce operational costs. In this paper, we describe the design of a system called “Crane Lorry Scheduling System” (CLSS) that we have developed for the largest crane lorry company in Hong Kong. A crane lorry company is a company that provides lorries with different types of mounted crane equipment and drivers to service different types of moving and lifting jobs. CLSS is a Web-based application that streamlines communication with customers, subcontractors and employees/lorry drivers. We modeled the lorry-assignment problem as a constraint-satisfaction problem (CSP) algorithm, which we call the “Crane Lorry Optimizing Engine” (CLOE). CLOE was designed to be easily customizable to match the needs and requirements of different crane lorry companies. We experimented with two versions of CLOE, regular CLOE that finds “best” solutions and X-CLOE that finds “optimal” solutions. Results from our tests show that CLOE is faster and generates better quality plans than the manual approach.