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Institution

Indian Institute of Management Calcutta

EducationKolkata, India
About: Indian Institute of Management Calcutta is a education organization based out in Kolkata, India. It is known for research contribution in the topics: Supply chain & Context (language use). The organization has 415 authors who have published 1354 publications receiving 21725 citations. The organization is also known as: IIMC & IIM Calcutta.


Papers
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Journal ArticleDOI
TL;DR: The underlying structure of public healthcare system in India is qualitatively mapped to two specific systemic behaviors – the excessive use of referrals and, the co-occurrence of overburdened tertiary care centers and the under-utilization of primary care centers.
Abstract: Public health is a means of preventing disease and providing curative care to promote citizens’ health through organized efforts of various stakeholders. Performance challenges in public health in developing countries continue to surround access, availability and quality. The public health system in India is plagued additionally by under-investment, sub-optimal utilization of resources and failure of accountability in general. These have resulted in uneven use of curative facilities and increasing out-of-pocket expenditures intensely disfavoring economically weaker citizens. Using systems thinking approach, we identify the different constituents of public healthcare system in India and their interlinkages. We qualitatively map the underlying structure to two specific systemic behaviors – the excessive use of referrals and, the co-occurrence of overburdened tertiary care centers and the under-utilization of primary care centers. The analysis draws upon the ‘fixes that fail’ and ‘shifting the burden’ archetypes in system dynamics to argue the need for more fundamental solutions to resolve performance challenges in public healthcare system in India.

3 citations

Journal ArticleDOI
TL;DR: The issue of allocating spectrum dynamically to different technologies under the portfolio of an SP, where service providers own multiple access networks (ANs) of different technologies is addressed, is addressed and a unique heuristic is proposed in order to facilitate the decision making process of dynamic spectrum allocation.

3 citations

Book ChapterDOI
27 Dec 2004
TL;DR: Algorithms to find the feasible set X and the pareto-optimal subset of X with minimum disclosure in presence or absence of a third party are explored, useful in multiparty negotiations.
Abstract: A set of alternatives along with their associated values is available with individual parties who do not want to share it with others. Algorithms to find the feasible set (i.e. common subset) X and the pareto-optimal subset of X with minimum disclosure in presence or absence of a third party are explored. These are useful in multiparty negotiations.

3 citations

Proceedings ArticleDOI
20 Apr 2016
TL;DR: An intelligent rule-based algorithm for reducing the switching activity of the digital circuits at logic optimization stage is proposed and empirically tested for several standard digital circuits with Synopsys EDA tool and the results obtained are quite encouraging.
Abstract: Minimization of power dissipation of VLSI circuits is one of the major concerns of recent digital circuit design primarily due to the ever decreasing feature sizes of circuits, higher clock frequencies and larger die sizes. The primary contributors to power dissipation in digital circuits include leakage power, short-circuit power and switching power. Of these, power dissipation due to the circuit switching activity constitutes the major component. As such, an effective mechanism to minimize the power loss in such cases often involves the minimization of the switching activity. In this paper, we propose an intelligent rule-based algorithm for reducing the switching activity of the digital circuits at logic optimization stage. The proposed algorithm is empirically tested for several standard digital circuits with Synopsys EDA tool and the results obtained are quite encouraging.

3 citations

Journal ArticleDOI
08 May 2012-Opsearch
TL;DR: Three different algorithms, two based on greedy method and one using MIP model, that were used to solve the locomotive fueling problem discussed in this paper are described and the summary of solutions obtained are highlighted.
Abstract: About 75 % of the world’s railroads operate with diesel fuel. Even though European railroads rely on electric traction to a large extent, US railroads rely mostly on diesel fuel (100 % of US freight is hauled by diesel locomotives). Like in other industries there is intense competition to keep costs low; and in railroad operations based on diesel locomotives, the cost of fuel and its delivery is the major component of the overall cost. Since the cost of fuel is highly location dependent (due to local taxes and transportation costs between supply and demand points), locomotive fueling problem discussed in this paper is a critical problem in railroad operations. Given: the set of yards, the set of trains to operate, the locomotive assignments to trains, and the fuel cost and capacity data; this problem deals with finding the fueling plan for the various trains to minimize the total cost of fueling the locomotives. We describe three different algorithms, two based on greedy method and one using MIP model, that we used to solve this problem and highlight the summary of solutions obtained by each of them for comparisons of these algorithms.

3 citations


Authors

Showing all 426 results

NameH-indexPapersCitations
Russell W. Belk7635139909
Vishal Gupta473879974
Sankaran Venkataraman327519911
Subrata Mitra322193332
Eiji Oki325885995
Indranil Bose30973629
Pradip K. Srimani302682889
Rahul Mukerjee302063507
Ruby Roy Dholakia291025158
Per Skålén25572763
Somprakash Bandyopadhyay231111764
Debashis Saha221812615
Haritha Saranga19421523
Janat Shah19521767
Rohit Varman18461387
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20233
202216
202189
202080
201998
201873