Using the hesitant fuzzy decision-making approach in evaluating organizational agility levels Case Study of Gas Company

Articles in Press

Document Type : Original Article

Authors

1 Head of dispatching unit of Qazvin Gas Company

2 department of industrial management،qazvin branch،islamic azad university، qazvin،iran

3 departmant of industrial management, Qazvin branch islamic azad university. qazvin. iran

10.48301/kssa.2023.376652.2389

Abstract

One of the important issues in gas distribution companies in the country is the multi-level agility of processes in their supply chain. The service system investigated in this research includes the development activities of the organization, supply network and contractors to develop gas supply projects, current operations to secure pipelines and prevent damage, as well as the development of technology to optimize the flow of gas consumption. The main problem of this research is the multi-level evaluation of factors affecting organizational agility in the uncertain fuzzy decision-making environment.. Based on the studies conducted, most of the studies in the field of organizational agility have been in deterministic space or fuzzy space. The subject of this research is the provincial gas companies in the country and the experts including the senior organizational managers in the country gas company were selected in this research. According to the results of this research at the macro level of organizational agility, four criteria including customers, process, supply network and Management is effective. The customer factor was ranked first with a weight of 40%. Therefore, it is suggested to the managers of the organization to take necessary action for the organizational agility at the macro level in relation to the adoption of strategic planning for the agility of the customers.

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Karafan Quarterly Scientific Journal

Articles in Press, Accepted Manuscript
Available Online from 28 May 2023

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History

  • Receive Date: 13 January 2023
  • Revise Date: 09 April 2023
  • Accept Date: 23 May 2023

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