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Lesaint, David; Voudouris, Christos; Azarmi, N.; Alletson, I.; Laithwaite, B.

doi:10.1023/a:1027315016892

Cited by 9 publications

(2 citation statements)

References 5 publications

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“…While the basic problem is different to the FSSP, some approaches to addressing the dynamism can be applied here as well. British Telecom (BT) has reported on a field workforce scheduling project [26], [27]. They had to schedule 20,000 engineers and the rule-based scheduling applications from various vendors were not able to address the scale and the complexity of the requirements.…”

Section: Dynamic Vrpsmentioning

confidence: 99%

On the impact of real-time information on field service scheduling

Petrakis

Hass

Bichler

2012

Decision Support Systems

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Mobile phone operators need to plan and schedule field force personnel for maintenance and repair tasks on mobile phone base stations across the country on a daily basis. In this paper, we will introduce the field force scheduling problem with priorities. Motivated by the rising popularity of mobile field force management solutions, we compare online and offline heuristics as well as hybrids to solve the problem. The results help understand the benefits of dynamic scheduling based on realtime position information as compared to traditional daily offline planning.

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Section: Dynamic Vrpsmentioning

confidence: 99%

On the impact of real-time information on field service scheduling

Petrakis

Hass

Bichler

2012

Decision Support Systems

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“…the necessity to have workers travel to the site of the activity's execution -and thus the possibility of data and voice communication cut-offs during process execution. The location awareness of mobile processes represents a challenging restriction for the scheduling of the workforce (the assignment of resources to mobile activities) [22] in comparison to the resource assignment in non-mobile processes [35]. It leads to the necessity to prepare work lists for each worker, to preload data to the workers' mobile devices, and to the consideration of the spatial distribution of skills and competence over time.…”

Section: Introductionmentioning

confidence: 99%

A General Model of Mobile Environments: Simulation Support for Strategic Management Decisions

Gruhn

Richter

2008

2008 Seventh International Conference on Grid and Cooperative Computing

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Since the ability of Workforce Management Systems to handle mobility induced challenges of mobile environments like data-communication cut-offs, reduced network bandwidth, and security concerns improved recently, the optimization efforts of mobile enterprises increasingly focus on the organizational setup of their mobile environment. This includes issues like, e.g., the dimension and staffing of regional subdivisions, qualification balance of the workforce, and resource allocation strategies. While this multitude of possible adjustment parameters for optimization prevents from the analytical prediction of organizational change efforts, simulation is a promising approach to analyze mobile environments and their change.In this work we present a formal model representing a generalization of mobile environments. This model can be utilized to examine the cost situation and performance of both real mobile enterprises and projected future development scenarios of such enterprises. The model is developed using colored petri nets (CPN) and the software suite CPN Tools. We show that our model is capable of predicting the outcomes of organizational change projects by the utilization of simulation and present a validation of our model based on real-world data of a German gas and power supply.

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A Strategy for Effective Alert Analysis at a Cyber Security Operations Center

Ganesan

Shah

2018

Lecture Notes in Computer Science

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Untitled

Cited by 9 publications

References 5 publications

On the impact of real-time information on field service scheduling

On the impact of real-time information on field service scheduling

A General Model of Mobile Environments: Simulation Support for Strategic Management Decisions

A Strategy for Effective Alert Analysis at a Cyber Security Operations Center

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