http://dspace.iimk.ac.in:80/xmlui/handle/2259/452 This collection consists of published and unpublished scholarly articles of IIMK Community. Tue, 12 May 2026 13:15:20 GMT 2026-05-12T13:15:20Z http://dspace.iimk.ac.in:80/xmlui/handle/2259/1074 Stratified delivery aid plans for humanitarian aid distribution centre selection Padhi, , Sidhartha S; Nawazish, Mohammed; Edwin Cheng, T.C. 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 relief items, speed of delivery, and disaster location, into the decision to select HADCs. While anticipating decentralized relief aid supplies, humanitarian practitioners face uncertainties in HADC selection. Grounded in tingency Theory, DAPs assist in anticipating the uncertain relief aid supplies contingent on the external environment. Hence, HADC selection must incorporate DAPs in pursuit of three performance criteria, namely efficiency, effectiveness, and equity. We propose a stratified multi-criterion decision-making (MCDM) approach for HADC selection in the post-disaster planning phase to counter the uncertainty of decentralized relief aid supplies. We perform numerical studies of the proposed dynamic model using the data on Cyclone Fani. The results show that HADC selection incorporating DAPs is more robust and impactful. We also conduct sensitivity analysis to examine the trade-offs between the performance criteria. Thu, 14 Jul 2022 00:00:00 GMT http://dspace.iimk.ac.in:80/xmlui/handle/2259/1074 2022-07-14T00:00:00Z http://dspace.iimk.ac.in:80/xmlui/handle/2259/1005 Bayesian C-optimal life testing plans under progressive type-I interval censoring scheme Pradhanb, Biswabrata; Soumya Roy This work considers optimal planning of progressive type-I interval censoring schemes for log-location-scale family of distributions. Optimum schemes are obtained by using a Bayesian C-optimality design criterion. The C-optimality criterion is formed to attain precision in estimating a particular lifetime quantile. An algorithm is proposed to obtain the optimal censoring schemes. Optimal schemes are obtained under two different scenarios for the Weibull and log-normal models, which are two popular special cases of log-location-scale family of distributions. A sensitivity analysis is conducted to study the effect of various prior inputs on the optimal censoring schemes. Furthermore, a simulation study is undertaken to illustrate the sampling variations resulting from the optimal censoring schemes. Tue, 01 Jan 2019 00:00:00 GMT http://dspace.iimk.ac.in:80/xmlui/handle/2259/1005 2019-01-01T00:00:00Z http://dspace.iimk.ac.in:80/xmlui/handle/2259/1001 Bayesian accelerated life test plans for series systems with Weibull component lifetimes Soumya Roy This article presents optimal Bayesian accelerated life test plans for series systems under Type-I censoring scheme. First, the component lifetimes are assumed to follow independent Weibull distributions. The scale parameters of Weibull lifetime distributions are related to the external stress variable through a general stress translation function. For a fixed number of design points, optimal Bayesian ALT plans are first obtained by solving constrained optimization problems under two different Bayesian design criteria. The global optimality of the resulting fixed-point optimal designs is then verified via the General Equivalence Theorem. This article also provides the optimized compromise ALT plans which are extremely useful in real-life applications. A detailed sensitivity analysis is then performed to find out the effect of various planning inputs on the resulting optimal Bayesian ALT plans. A simulation study is then conducted to visualize the resulting sampling variations from the optimal Bayesian ALT plans. Finally, this article considers a series system with dependent component lifetimes. Optimal ALT plans are obtained assuming a Gamma frailty model. Volume 62, October 2018, Pages 383-403 https://doi.org/10.1016/j.apm.2018.06.007 Mon, 01 Oct 2018 00:00:00 GMT http://dspace.iimk.ac.in:80/xmlui/handle/2259/1001 2018-10-01T00:00:00Z http://dspace.iimk.ac.in:80/xmlui/handle/2259/980 Framework for selecting sustainable supply chain processes and industries using an integrated approach Padhi, Sidhartha S.; Pati, Rupesh K; Rajeev, A. This study introduces a process view of sustainable supply chain management and identifies 17 sustainable supply chain processes (SSCPs) from literature. Further, a framework is proposed to identify the significance of various SSCPs on firm performance using the theoretical lenses of stakeholder theory and resource based view. Through a semi-structured interview of stakeholders, critical SSCPs across eight industries were identified in the Indian context. The study identifies five important SSCPs, such as sustainable design and development, strategic sourcing and efficient technology and sustainable product returns and recycling. Among the selected industries, pharmaceutical, agricultural and chemical industries were identified to be the front-runners in SSCPs practice. Subsequently, these five processes and three industries were evaluated using strategic decision making approach by integrating group decision making and fuzzy multi-criteria decision making methods. To handle the uncertainties of strategic decision making, six Fuzzy Multi-Criteria Decision Making methods have been applied and compared to understand their relevance while evaluating the above industries, based on the above identified SSCPs. This study introduces an approach to enhance sustainability of supply chain that can be extended across industries through a process view of supply chain, in emerging economies like India. Wed, 28 Feb 2018 00:00:00 GMT http://dspace.iimk.ac.in:80/xmlui/handle/2259/980 2018-02-28T00:00:00Z