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Journal ArticleDOI

Simulation modeling for manpower planning in electrical maintenance service facility

11 Dec 2017-Business Process Management Journal (Emerald Publishing Limited)-Vol. 24, Iss: 1, pp 89-104

TL;DR: The computer simulation in modeling complex real-life system for understanding the resource requirement of electrical fault maintenance facility to improve resource utilization while meeting the desired service level is considered.
Abstract: The purpose of this paper is to present the simulation model for manpower planning in electrical maintenance service facility and evaluates different scenarios to improve resource utilization while meeting the desired service level.,The process systematically maps entire system of electrical fault rectification, identifies probability distributions of demand of electrical maintenance requests and its process times using historical data. The simulation software Arena was used to model the entire system and various possible improvements were evaluated to assess performance of maintenance service facility.,The simulation results obtained for the proposed changes in the system indicated the potential improvement in resource utilization while meeting the average waiting time expectations of customers.,The proposed simulation model can help maintenance people to decide the optimum number of resources to meet the agreed performance level that is expected by various stakeholders.,The paper considers the computer simulation in modeling complex real-life system for understanding the resource requirement of electrical fault maintenance facility to improve resource utilization while meeting the desired service level.
Topics: Service level (57%), Resource management (55%), Service system (54%), Simulation software (53%), Service (systems architecture) (52%)
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Journal ArticleDOI
Abstract: Atualmente, a industria de impressao sofre queda em suas vendas, apresentando a necessidade, dentre outras, de otimizar o uso de seus recursos como de mao-de-obra. Para isso, uma das alternativas e por meio da simulacao computacional. O presente trabalho objetivou avaliar o uso da mao-de-obra disponivel de uma industria grafica durante o mes de setembro de 2017, propor melhorias por meio de cenarios simulados e prever os resultados destes utilizando tecnicas de simulacao computacional. Os dados para analise foram obtidos pelo software ERP da propria empresa e o software utilizado para simulacao e construcao dos cenarios foi o Flexsim®. Foi possivel simular o cenario atual da empresa, bem como um cenario alternativo redistribuindo as funcoes entre os funcionarios atuais e outro considerando um novo funcionario trabalhando por meio periodo. Os resultados possibilitaram a empresa solucoes fundamentadas para solucionar seu problema de utilizacao de mao-de-obra.

3 citations


Cites background from "Simulation modeling for manpower pl..."

  • ...Freitas Filho (2008) sugere que o emprego da simulação deve ser considerado quando pelo menos uma das condições abaixo existirem: a) Não existe formulação matemática completa para o problema em questão; b) Os resultados são mais fáceis de serem alcançados com a simulação do que com o modelo…...

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  • ...Contudo, embora seja um dos primeiros autores a estudar acerca do tema e por iniciar uma maior aproximação entre a simulação e programas de computadores, ele não especifica que a simulação deva ser necessariamente computacional (FREITAS FILHO, 2008)....

    [...]


Journal ArticleDOI
TL;DR: This study provides an attempt to improve the performance of a supplier-side e-tender-driven marketing process of an original equipment manufacturer (OEM) incorporating stakeholder's inputs using the DESM methodology incorporating stakeholders' inputs.
Abstract: PurposeConsiderable amount of purchases in business-to-business (B2B) markets make through the tendering process. As technology keeps driving B2B procurement, both the supplier/contractor and buyer firms have settled down in their respective roles in the electronic-tendering environment. Researchers have ignored the supplier-side e-tender-driven marketing process that might lead to substantively successful financial performance. The purpose of this study is to improve the performance of an e-tender-driven marketing process of an original equipment manufacturer (OEM) incorporating the stakeholder's inputs.Design/methodology/approachDiscrete event simulation modelling (DESM) has been used as a methodology to model, analyse and improve the process with the involvement of stakeholders at every stage of the study. Different scenarios are analysed to identify the near-optimal scenario based on agreed-upon key performance indicators.FindingsScenario that incorporated man-power sharing and eliminating avoidable activities gives the near-optimal solution for implementation.Research limitations/implicationsThis study highlights that better insights can be gained by adopting the process-oriented view of the marketing–operations interface. Embracing a stakeholder-based consultative approach gives research a more practical outlook and reduces the gap between theory and practice. Suggestions for further research are provided.Practical implicationsB2B organizations, where lines between marketing and operations are blurred, can improve their marketing processes by implementing operations research tools.Originality/valueThis study provides an attempt to improve the performance of a supplier-side e-tender-driven marketing process of an OEM using the DESM methodology incorporating stakeholder's inputs.

1 citations


Journal ArticleDOI
John P.T. Mo1, Anthony CaporasoInstitutions (1)
Abstract: Major assets such as buildings, infrastructure and defence systems are long term investments that require many outsourced sustainment activities to maintain satisfactory performances over their ser...

1 citations


References
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Book
01 Jan 1982
TL;DR: The text is designed for a one-term or two-quarter course in simulation offered in departments of industrial engineering, business, computer science and operations research.
Abstract: From the Publisher: This second edition of Simulation Modeling and Analysis includes a chapter on "Simulation in Manufacturing Systems" and examples. The text is designed for a one-term or two-quarter course in simulation offered in departments of industrial engineering,business,computer science and operations research.

9,800 citations


Posted Content
Jack P. C. Kleijnen1Institutions (1)
Abstract: This paper surveys verification and validation of models, especially simulation models in operations research. For verification it discusses 1) general good programming practice (such as modular programming), 2) checking intermediate simulation outputs through tracing and statistical testing per module, 3) statistical testing of final simulation outputs against analytical results, and 4) animation. For validation it discusses 1) obtaining real-worl data, 2) comparing simulated and real data through simple tests such as graphical, Schruben-Turing, and t tests, 3) testing whether simulated and real responses are positively correlated and moreover have the same mean, using two new statistical procedures based on regression analysis, 4) sensitivity analysis based on design of experiments and regression analysis, and risk or uncertainty analysis based on Monte Carlo sampling, and 5) white versus black box simulation models. Both verification and validation require good documentation, and are crucial parts of assessment, credibility, and accreditation. A bibliography with 61 references is included.

1,345 citations


Journal ArticleDOI
Robert G. Sargent1Institutions (1)
TL;DR: Three approaches to deciding model validity are described, two paradigms that relate verification and validation to the model development process are presented, and various validation techniques are defined.
Abstract: Verification and validation of simulation models are discussed in this paper. Three approaches to deciding model validity are described, two paradigms that relate verification and validation to the...

1,301 citations


Journal ArticleDOI
Shirley Taylor1Institutions (1)
Abstract: Delays in service are becoming increasingly common; yet their effects on service evaluations are relatively unknown. The author presents a model of the wait experience, which assesses the effects o...

910 citations


Journal ArticleDOI
Jack P. C. Kleijnen1Institutions (1)
TL;DR: This paper surveys verification and validation of models, especially simulation models in operations research, and discusses general good programming practice (such as modular programming), and checking intermediate simulation outputs through tracing and statistical testing per module.
Abstract: This paper surveys verification and validation of models, especially simulation models in operations research. For verification it discusses 1) general good programming practice (such as modular programming), 2) checking intermediate simulation outputs through tracing and statistical testing per module, 3) statistical testing of final simulation outputs against analytical results, and 4) animation. For validation it discusses 1) obtaining real-worl data, 2) comparing simulated and real data through simple tests such as graphical, Schruben-Turing, and t tests, 3) testing whether simulated and real responses are positively correlated and moreover have the same mean, using two new statistical procedures based on regression analysis, 4) sensitivity analysis based on design of experiments and regression analysis, and risk or uncertainty analysis based on Monte Carlo sampling, and 5) white versus black box simulation models. Both verification and validation require good documentation, and are crucial parts of assessment, credibility, and accreditation. A bibliography with 61 references is included.

609 citations


Performance
Metrics
No. of citations received by the Paper in previous years
YearCitations
20212
20181