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Browsing 08. Quantitative Methods and Operations Management by Title

Browsing 08. Quantitative Methods and Operations Management by Title

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  • Suresh, R.P. (National Conference on Quality Reliability & Management, 2000)
    Many Statistical Process Control (SPC) techniques such as Control charts, Acceptance Sampling plans and Process Capability, require that the quality characteristic of interest follow a normal distribution. However in many ...
  • Milind, Shrikant Padalkar (Indian Institute of Management Kozhikode, 2016)
    There is sufficient empirical evidence that project performance continues to be problematic despite over six decades of research and practice attention. Theories of project management remain weak while research adheres to ...
  • Suresh, R.P. (Journal of Indian Statistical Association, 2001)
    We derive an inequality in terms of moments of Bivariate IFR distributions. We then show that this inequality holds good in a largere class of bivariate ageing distributions such as NBU,NBUE nad DMRL
  • Padhi, , Sidhartha S; Nawazish, Mohammed; Edwin Cheng, T.C. (Elsevier, 2022-07-14)
    Humanitarian aid distribution centres (HADCs) are essential for bridging the gap between stranded beneficiaries and relief aid during a disaster. We incorporate three delivery aid plans (DAPs), namely prioritization by ...
  • Padhi, Sidhartha S.; Rajnish Kumar; Ashutosh Sarkar (IIMB Management Review, 2017-08)
    Supplier selection is increasingly seen as a strategic issue for any firm. In the literature, a variety of supplier selection criteria and methodologies have been reported. However, in this article, to find the most ...
  • Suresh, R.P. (2002)
    Statistics is taught as a core course in the Management programmes leading to the degree of Master of Business Administration (MBA) or an equalent degree in various Universities and Managmenet Institutes in India. As a ...
  • Choudhuri, Gopal (Journal of Statistical Planniny and Inference, 1997)
    In this paper we propose a test statistic for testing exponentiality versus L-class of life distributions. This test is based on an estimate of a functional of the cdf which discriminates between the exponential and L-family.

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