General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Mia Hu
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
    • Average Days from Submission to Acceptance: 192 days
    • APC: 800 USD
    • E-mail:
    • Journal Metrics:
    • SCImago Journal & Country Rank
Prof. Mehmet Sahinoglu
Computer Science Department, Troy University, USA
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.

IJCTE 2009 Vol.1(4): 370-374 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2009.V1.58

Fuzzy Mathematical Model for Utilization of the Resources

Manoj Kumar Jain, A. K. Dalela and Sandeep Kumar Tiwari

Abstract—In current era, overcrowding has become a problem to control customer traffic and their demand. Everyday, customer is demanding new verity of service from service provider and they are not satisfied with services which are getting from any service provider. Resource planning is a critical task for management. It identifies how much resources are needed to match future customer traffic demand. It directly affects customer satisfaction and revenues. In this paper, we present Fuzzy mathematical model for utilization of the resources, which helps alleviate a big problem that management and marketing executive’s face– making optimal resource investment decisions and their capacity utilization [3],[4] and[7]. This paper helps, the prediction process by presenting actual customer traffic usage from a business perspective, in a form that is useful to both management and marketing executives. We show that information from this model can be used to: (1)quantify revenue earned on each unit of branch,(2) quantify return-on-investment on performing a resource upgrade, and (3)quantify the loss due to customer dissatisfaction when a unit of branch is not upgraded. We also illustrate how these formulations based on business information can be used to improve resource planning decisions [1], [2], [4], and [16].Effective Resource Management increases profitability by optimizing utilization and minimizing bench time of branch resources, and generates goodwill and loyalty among your staff that translates to competitive advantages in recruiting and retaining the best talent.

Index Terms—ATF: Acceptable total flow

School of Studies in Mathematics, Vikram University, Ujjain. M. P, INDIA,
Department of Mathematics, Govt Science College, Jabalpur, M. P., INDIA,
School of Studies in Mathematics, Vikram University, Ujjain. M. P., INDIA


Cite: Manoj Kumar Jain, A. K. Dalela and Sandeep Kumar Tiwari, "Fuzzy Mathematical Model for Utilization of the Resources," International Journal of Computer Theory and Engineering vol. 1, no. 4, pp. 370-374, 2009.

Copyright © 2008-2024. International Association of Computer Science and Information Technology. All rights reserved.