Magenta technology multi-agent logistics i-Scheduler for road transportation

Himoff, Jonathan; Rzevski, George; Skobelev, Petr

doi:10.1145/1160633.1160927

Cited by 31 publications

(14 citation statements)

References 2 publications

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“…Besides the scheduling of ship operations, i-schedulers were also successfully employed in a road transportation application to be used by several UK road logistics operators. The application was tested on two sets of client data with 50 and 200 trucks [29].…”

Section: Logisticsmentioning

confidence: 99%

Industrial deployment of multi-agent technologies: review and selected case studies

Pěchouček

Mařı́k

2008

Auton Agent Multi-Agent Syst

202

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This paper reports on industrial deployment of multi-agent systems and agent technology. It provides an overview of several application domains and an in-depth presentation of four specific case studies. The presented applications and deployment domains have been analyzed. The analysis indicates that despite strong industrial involvement in this field, the full potential of the agent technology has not been fully utilized yet and that not all of the developed agent concepts and agent techniques have been completely exploited in industrial practice. In the paper, the key obstacles for wider deployments are listed and potential future challenges are discussed.

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Section: Logisticsmentioning

confidence: 99%

Industrial deployment of multi-agent technologies: review and selected case studies

Pěchouček

Mařı́k

2008

Auton Agent Multi-Agent Syst

202

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“…To achieve desired adaptability, complexity of software must be tuned and tuning heuristics is derived and polished through experimentation and experience. 6 RESULTS Elementary services listed in Section 4 of this paper have been thoroughly tested in various commercial applications, many of which are in continuous use, as exemplified by: Real-Time Scheduling of Cargo Delivery to International Space Station [8]; Real-Time Evaluation of Design Consistency [8]; Real-Time Scheduling of Supply Chains for LEGO [9]; Real-Time Scheduling of 2,000 Taxis in London [10]; Real-Time Scheduling of Car Rentals [11]; Real-Time Scheduling of Road Transportation [12,13]; Real-Time Scheduling of Production [14,15]; Real-Time Scheduling of Servicing Personnel [16]; Real-Time Scheduling of Mainline Railways [17] and Modelling of Aircraft Functionability [18].…”

Section: Technology For Designing Complex Adaptive Servicesmentioning

confidence: 99%

Managing aircraft lifecycle complexity

Rzevski¹,

Knežević²,

Скобелев³

et al. 2016

Int. J. DNE

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A thorough analysis of data on aircraft lifecycle revealed inadequacy of current lifecycle management methods in the face of increased complexity of the Internet-based global market. A new method for managing lifecycle has been developed by authors and their teams using concepts and principles of the emerging complexity science with the aim of reducing lead times and costs. Centralised control has been replaced with distributed decision-making empowering all lifecycle stakeholders. The solution described in this paper is the first of its kind and it represents a genuine advance in knowledge, which leads to considerable reduction in design/production lead times and decrease in the lifecycle cost. The method has been validated in a variety of applications. Keywords: aircraft, complex adaptive systems, complexity, lifecycle management, real-time spare parts management. INTRODUCTIONThe lifecycle of a large aerospace product such as an airliner or a military aircraft consists of a very large number of interconnected activities, which are normally partitioned into several phases such as: Design, Production, Operation and Decommissioning. Each phase of the lifecycle consists of activities as outlined below.Design consists of all activities needed to produce, operate and recycle a product, including: market research, requirements specification, conception, design management, overall design (including design for X, where X is performance, safety, reliability, operability, manufacturing, assembly, maintainability and recycling) and design of components.Production includes the selection and development of production technologies, production planning and management, supply of materials and components, manufacturing, assembly, testing and quality assurance.Operation includes the scheduling and management of the use of aircraft and its crew within a fleet; the maintenance and repair tasks and resources; and the logistics support tasks and resources.Decommissioning includes safe disposal and recycling of components and/or materials. The current practice is to consider each phase of the lifecycle separately managed by a different team of specialists, often from different organisations, with a limited interaction between them. As a rule, there is no central lifecycle management team charged with coordinating all activities from the creation of the idea of the future product to its disposal and recycling. Moreover, each phase of the lifecycle is normally supported by stand-alone computer systems, such as computer-aided design, computer-aided engineering, computer-aided manufacturing, enterprise resource planning and various production and logistic schedulers, which are rarely fully compatible with each other and never integrated into a single lifecycle system.Partitioning of lifecycle activities into individual phases and managing each phase by different management systems supported by stand-alone computer systems weakens important connections between key lifecycle activities and thus delays useful flow of information, p...

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“…In these systems, small AGVs can successfully replace conveyors [46], [50] adding more degrees of freedom to the system and relieving plant managers from operating with lots of data to gain flexibility and robustness [51].…”

Section: Abm Application To Automated Laboratoriesmentioning

confidence: 99%