Tactical Resource Planner for Workforce Allocation in Telecommunications

Mohamed, Azah; Hagras, Hani; Shakya, Siddhartha; Owusu, Gilbert

doi:10.1007/978-3-642-31368-4_11

Cited by 6 publications

(3 citation statements)

References 6 publications

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“…Table 1 shows the experimental results obtained from the hierarchical fuzzy logic based planner presented in our previous work [1] (using fuzzy sets tuned by experts).…”

Section: Experiments and Resultsmentioning

confidence: 99%

A fuzzy-genetic tactical resource planner for workforce allocation

Mohamed

Hagras

Shakya

et al. 2013

2013 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)

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For the recent few years, resou has become an interesting research top companies, especially within telecommunica Resource planning is basically trying to p quality of service while trying to keep the possible. The main aim of resource plannin the available resources as much as possibl can match the expected demand for serv resource planning looks at medium-te periods, i.e. weeks to months, and aims coarse-grain resource deployments. In work we introduced an experimental resource planning approach modeled for a in British Telecom (BT) [1]. We presented based fuzzy logic system, which ca compatibility between resources and the al and then matches the most compatibl resources to each other. The proposed hiera logic based system (in an experimental sett to achieve very good results in compa original system, where the proposed system achieve 12.2% improvement in tasks done In this paper, we introduce a hierarchica based system that uses evolutionary system fuzzy membership functions, which r improvement in the overall output of the new fuzzy-genetic based system was able a improvement in tasks done per resour hierarchical fuzzy logic based system that experts.Keywords-fuzzy logic systems, hierarchi systems, evolutionary systems, tactical resource telecommunications.

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“…Table 1 shows the experimental results obtained from the hierarchical fuzzy logic based planner presented in our previous work [1] (using fuzzy sets tuned by experts).…”

Section: Experiments and Resultsmentioning

confidence: 99%

A fuzzy-genetic tactical resource planner for workforce allocation

Mohamed

Hagras

Shakya

et al. 2013

2013 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)

Self Cite

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“…For industries without standardized training practices, such as the 5G and broadband industry, understanding an occupation's necessary skills and identifying gaps in competency are important steps in developing the most relevant and efficient workforce education, especially programs designed to develop specific skills [10]. Additionally, several studies have noted the value in efficient resource management, or selecting, scheduling, and planning a workforce appropriate for the telecommunications industry, as well as adapting employees to their work rather than adapting work to a given workforce [11][12][13][14]. Many workers are unaware of the available careers related to 5G and broadband, while many educators are unaware of what skills are needed to train workers for the industry.…”

Section: Introductionmentioning

confidence: 99%

Ohio’s 5G and Broadband Workforce: Assessing the Current Landscape Using Skillshed Analysis

Humeniuk,

Erfanian,

Jolley

2024

Merits

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Ohio’s 5G and broadband industry is rapidly changing. In this study, we assess the current skills and skills gaps of the state’s workforce and the supply and demand of labor within the 5G and broadband industry. We use a skillshed analysis to determine declining occupations with easy and challenging transitions into 5G and broadband occupations. Based on the analysis, we determine where skills gaps exist and where additional resources are needed to prepare the state’s workforce for the 5G and broadband industry.

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“…Hence, when it comes to choosing which resource gets assigned to which task, it is really important to consider all the factors involved and make the most efficient choice that will achieve both maximum resource utilization and maximum customer satisfaction [1,2].…”

Section: Introductionmentioning

confidence: 99%

A genetic interval type-2 fuzzy logic based approach for operational resource planning

Mohamed

Hagras

Liret

et al. 2013

2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

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Within service providing industries, one of the challenges facing resource planners is to match the demand for services by trying to utilize the available resources as best as possible. The problem faced by the operational resource planner is to build a refined plan of tasks to resources for each day in a manner that the plan can be directly dispatched to the distributed available engineering field force. In this paper, we will introduce a genetic hierarchical interval type-2 fuzzy logic based operational planner. We will present experiments which will show that the proposed system is able to produce more efficient plans when compared to the traditional crisp logic based algorithms which employ hill climbing heuristic based search techniques. We will show also that the proposed system outperforms the type-1 fuzzy logic based counterparts.Keywords-type-2 fuzzy logic systems, hierarchical fuzzy logic systems, operational resource planning, service providers.

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Tactical Resource Planner for Workforce Allocation in Telecommunications

Cited by 6 publications

References 6 publications

A fuzzy-genetic tactical resource planner for workforce allocation

A fuzzy-genetic tactical resource planner for workforce allocation

Ohio’s 5G and Broadband Workforce: Assessing the Current Landscape Using Skillshed Analysis

A genetic interval type-2 fuzzy logic based approach for operational resource planning

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