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3722 items in total found
Mathematical advances towards sustainable environmental systems, Cham

Books | 2016

Mathematical advances towards sustainable environmental systems, Cham

Furze J.N., Swing K., Gupta A.K., McClatchy R. and Reynolds D.

Springer

Human resource management, New Delhi

Books | 2016

Human resource management, New Delhi

Dessler G. and Varkkey B.

Pearson India

Psychological contract: Managing employee-employer relationship, Germany

Books | 2016

Psychological contract: Managing employee-employer relationship, Germany

Agarwal P.

Lambert Publishing Company

Contracts and arbitration for managers, Los Angeles

Books | 2016

Contracts and arbitration for managers, Los Angeles

Agarwal A.K.

Sage

Working Papers | 2016

Optimization of Customized Pricing with Multiple Overlapping Competing Bids

Goutam Dutta and Sumeetha R. Natesan

In this paper, we consider the case of project procurement where there is a single buyer and multiple sellers who are bidding. We consider one seller having one or more competitors. We formulate the pricing problem from the point of view of one seller having one or multiple competitors (say n). We also assume that based on past experience, we have some idea about the distribution of bid prices of the competitors. We consider uniform distribution to describe the bid price of the competitors. The prices of the competitors are pairwise mutually independent and the price range are either identical or different and overlapping. We consider maximizing the expected contribution. Assuming the contribution as a linear function of price we compute the conditions for maximization of the expected contribution to profit in case of n bidders. Further, we also compare the optimization results with simulation results.

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Working Papers | 2016

Electricity Consumption Scheduling with Energy Storage, Home-based Renewable Energy Production and A Customized Dynamic Pricing Scheme

Krishnendranath Mitra and Goutam Dutta

In this paper we propose a scheduling model for electrical appliances in a dynamic pricing environment. Initially we have given a vector of price points for the next twenty four hours. We have developed an optimization model that minimizes cost to customer subject to operating time spans provided by the customer as per their requirements. The model is further modified to derive prices based on the consumption of electricity at the concerned time slot. We have also studied the effects of including energy storage and renewable energy generation at the consumer level. In this case we propose a linear price function that helps in automatically generating a price value for a time slot.

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Working Papers | 2016

Hub Interdiction & Hub Protection problems: Model formulations & Exact Solution methods. (Revised)

Prasanna Ramamoorthy, Sachin Jayaswal, Ankur Sinha, and Navneet Vidyarthi

In this paper, we present computationally efficient formulations for the hub interdiction problem. The problem is to identify a set of r critical hubs from an existing set of p hubs that when interdicted, results in the greatest disruption cost for the hub-and-spoke network owner. To begin with, the problem is modeled as a bilevel mixed integer linear program. We explore two ways to reduce this bilevel program to single level by replacing the lower level problem with constraints obtained i) using KKT conditions and ii) by exploiting the structure of the problem. Reduction using KKT conditions is straightforward but computationally inefficient in this context. Exploiting the structure of the problem, we propose two alternate forms of closest assignment constraints and study their computational effectiveness while solving the problem. We also show the dominance relationship between our proposed closest assignment constraints and the only other version
studied in the literature. Our computational results suggest that with one form of our proposed
closest assignment constraint the resulting model is solved on an average seven times faster than
the proposed one in literature. We further propose refinements to these alternate forms of closest
assignment constraints which are computationally faster than their original constraints. We also
solve the single level hub interdiction problem using a Benders decomposition method to fully
exploit the potential of our proposed closest assignment constraint. The computational efficiency gained using the closest assignment constraints, makes the trilevel protection problem tractable. We reduce the trilevel hub protection problem to a bilevel problem, and solve it using an Implicit enumeration + Benders decomposition procedure.

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Working Papers | 2016

Speeding up neighborhood search for the tool indexing problem

Diptesh Ghosh

The arrangement of tools in tool holding pockets of a tool magazine in a CNC machining center plays an important role in reducing processing times of complex job processes in automated machining environments. This problem is called the ATC indexing problem (ATCIP). Computing the cost of a solution for an ATCIP instance of size $n$ requires $\\mathcal{O}(n^2)$ time, so that neighborhood search iteration for the ATCIP on an $\\mathcal{O}(n^2)$ neighborhood requires $\\mathcal{O}(n^4)$ time. We describe techniques to reduce this effort for two common neighborhood structures from $\\mathcal{O}(n^4)$ time to $\\mathcal{O}(n^2)$ time.

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Working Papers | 2016

Orphan Food? Nay, Future of Food !
Understanding the Pulse of the Indian Market

Satish Y. Deodhar

Pulses have been an important traditional food crop of India. India is the largest producer and consumer of pulses. However, pulse acreage and yield has not kept pace with the growing demand in India. As a result, India is also the single largest importer of pulses today. While Green Revolution in India focused on cereal crops, pulses remained an orphaned and neglected crop. However, from the triple perspective of economy, environmental sustainability, and provision of balanced nutrition; pulses have now been recognized as the future of food. India can substantially increase her production and yield in pulses with a strategic emphasis on research in public and private sector, expanding irrigation infrastructure, provision of MSP to pulses, assured procurement by government for PDS/MDMS, facilitation of mini dal mills and storage at village level, and allowing futures markets to function. Price stability for consumers can also be attained by reduction in middlemen margins through modern warehousing, FDI in wholesale and retail trade, introducing competition to APMC markets, and substantial reduction in import tariffs on substitute products such as chicken.

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Working Papers | 2016

Impact of Affirmative Action in Higher Education for the Other Backward Classes in India

Rakesh Basant and Gitanjali Sen

This paper measures the impact of quota-based affirmative action in higher education (HE) in India for Other Backward Classes (OBC), implemented from 2008. Since the immediate impact would be felt by OBCs who were eligible to go to college at the time of the implementation, we compare the differences in participation in HE by the younger (18-23 years) and the older (24-29 years) age groups within eligible OBCs, with similar differences in the general caste population. The same double difference is also compared across states with different histories of affirmative action to ascertain if there are regional variations in the impact of the policy, with the expectation that the impact would be higher in regions with no history of affirmative action. Our results from the Difference in Difference (DD) estimates based on National Sample Survey data for 2011-12 do not show a positive impact of the policy on the participation of OBCs. In fact, the impact seems to be negative in all regions, though statistically insignificant, except the East which lacks the long history of affirmative action. A comparison of the East without a long history of affirmative action with the South having a long history of such policy, using triple difference method, produces positive treatment effects, but the estimate loses statistical significance once we control for observable covariates. Our results suggest that the generalized nation-wide policy of this kind may not be relevant for issues which are more regional in nature. (JEL Codes: H75, I23, I24, I25, I28, J15, O15).

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