Indian Institute of Management Calcutta

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.

Searching game trees in parallel using SSS

Abstract: PARSSS* is a parallel formulation of SSS* that is suitable for shared-memory multiprocessor systems. It is based on the distributed tree search paradigm of Ferguson and Korf. The main difficulty in parallelizing SSS* lies in achieving proper coordination between processes running on different subtrees of the game tree. This has been resolved in PARSSS* by the use of a shared array which maintains summary information on all processes that are currently in execution. Problem-independent speed-up values for PARSSS* have been obtained experimentally. It is shown that an earlier algorithm of the authors, called ITERSSS*, which allows SSS* to run in restricted memory, can also be parallelized using the above scheme.

Privacy preserving decentralized method for computing a pareto-optimal solution

Abstract: Distributed methodologies to find pareto-optimal frontier with concern to privacy, of objectives and constraints, of parties is of interest in scenarios like negotiations. Adaptation of lagrangian method to solve distributed weighting method for both strictly concave and not strictly concave (e.g. linear) value functions is proposed for a maximization problem.

Asymptotic normality of the estimated optimal order quantity for one-period inventories with supply uncertainty

Abstract: A one-period inventory situation where the supply is an NBUE random variable with mean proportional to the quantity ordered has been considered. The optimal exponential order quantity, which maximizes the minimum profit obtainable in the NBUE class of supply distributions, is a function of the demand distribution function. Here we show that an estimator of the maximin order quantity, which is already known to converge almost surely to its true value, converges also in distribution to an appropriate normal law with increasing sample size.

Improving uploading performance of TCP in network mobility

Abstract: On-board TCP (obTCP) has been shown to provide significant downloading performance improvement over TCP snoop in moving networks. In this paper, we look into the support for uploading performance of TCP. We believe that this aspect is critical for the general deployment of Internet applications on moving networks. We provide a mathematical model to measure uploading performance of TCP and validate the model with ns-2 simulations. We also compare it with TCP Snoop and show that up to 58% performance gain can be achieved over TCP Snoop.

Green Supply Chain Initiatives: The India Perspective

Abstract: Emergence of ‘sustainability’ as the new paradigm of conducting business has led to increased focus on operations of firms in emerging economies such as India. With growing concerns on the environmental impact of products and processes of firms in emerging economies, it becomes imperative to understand the factors steering green initiatives in India. This chapter aims to answer the question regarding what drives firms in India towards greening? Through research and discussions with managers, we observe certain common underlying factors determining firms’ greening initiatives. The chapter aims to outline these common factors and takes a look at various approaches of firms in India in line with those factors. The current work aims to provide a better understanding of environmental friendly practices in India to both practitioners and researchers alike and establishes a platform for green supply chain research.