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3567 items in total found

Journal Articles | 2021

Stochastic modeling of multiline orders in integrated storage‐order picking system

Vishal Bansal and Debjit Roy

Naval Research Logistics (NRL)

Due to demanding service levels in e-commerce order fulfillment, modeling and analysis of integrated storage and order picking processes in warehouses deserve special attention. The upstream storage system can have a significant impact on the performance of the downstream order picking process. With a particular focus on multiline e-commerce orders, we develop an analytical modeling framework for integrated analysis of upstream (shuttle-based storage and retrieval system) and downstream (pick system) networks. To capture the consolidation delays in fulfilling multiline orders, the downstream pick system is modeled with a closed queuing network that includes synchronization nodes. The configuration of the synchronization station is adapted to model the variety of order profiles handled at the pick station. For the downstream closed queuing network, we propose a decomposition-based solution methodology that results in good solution accuracy. The resulting semi-open queuing network (SOQN) of the integrated system is analyzed using the matrix-geometric method (MGM). To improve the accuracy of analytical estimates of the measures, we propose a hybrid simulation/analytical framework, where the performance measures of complex subnetworks are obtained from simulation. We also develop a detailed simulation model of the physical system for validating the analytical and hybrid estimates of the performance measures. The results from experiments indicate that the hybrid simulation/analytical approach reduces the error in the throughput time estimates to 3% from 18% obtained from the analytical model. Then, we investigate the effect of the upstream network configuration (such as the number of storage aisles) and the downstream network configuration (such as the mixed vs. dedicated picking, CONWIP control for orders, order batching) on the order throughput times. Our analysis provides a threshold on the maximum numbers of allowable orders (CONWIP control) and number of aisles beyond which the improvement in average throughput time of the integrated system is marginal. Numerical experiments with high-order arrivals also highlight that mixed picking in the downstream network can result in significant throughput time reduction in comparison to dedicated picking.

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Journal Articles | 2021

Estimation of Poisson mean with under‐reported counts: a double sampling approach

Debjit Sengupta, Tathagata Banerjee, and Surupa Roy

Australian & New Zealand Journal of Statistics

Count data arising in various fields of applications are often under-reported. Ignoring undercount naturally leads to biased estimators and inaccurate confidence intervals. In the presence of undercount, in this paper, we develop likelihood-based methodologies for estimation of mean using validation data. The asymptotic distributions of the competing estimators of the mean are derived. The impact of ignoring undercount on the coverage and length of the confidence intervals is investigated using extensive numerical studies. Finally an analysis of heat mortality data is presented.

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Journal Articles | 2021

Women’s disempowerment and preferences for skin lightening products that reinforce colorism: Experimental evidence from India

Arzi Adbi, Chirantan Chatterjee, Clarissa Cortland, Zoe Kinias, and Jasjit Singh

Psychology of Women Quarterly

Global racism and colorism, the preference for fairer skin even within ethnic and racial groups, leads millions of women of African, Asian, and Latin descent to use products with chemical ingredients intended to lighten skin color. Drawing from literatures on the impact of chronic and situational disempowerment on behavioral risk-taking to enhance status, we hypothesized that activating feelings of disempowerment would increase women of color’s interest in stronger and riskier products meant to lighten skin tone quickly and effectively. In two experiments (Experiment 1: N = 253 women and 264 men; Experiment 2: replication study, N = 318 women) with distinct samples of Indian participants, we found that being in a state of psychological disempowerment (vs. empowerment) increased Indian women’s preference for stronger and riskier skin lightening products but not for milder products. Indian men’s interest in both types of products was unaffected by the same psychological disempowerment prime. Based on these findings, we recommend increased consideration among teaching faculty, research scholars, and clinicians on how feeling disempowered can lead women of color to take risks to lighten their skin as well as other issues of intersectionality and with respect to colorism. We also encourage the adoption of policies aimed at empowering women of color and minimizing access to harmful skin lightening products.

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Journal Articles | 2021

Do Big 4 auditors limit classification shifting? Evidence from India

Neerav Nagar, Naman Desai, and Joshy Jacob

Journal of International Accounting, Auditing and Taxation

Extant research suggests that Big 4 auditors compared to non-Big 4 auditors act as a superior deterrent to accrual-based earnings management. We extend this research to another form of earnings management, classification shifting. Our study examines whether Big 4 auditors are more likely to reduce classification shifting in settings where the enforcement of laws is weak. Big 4 accounting firms, because of their global operations, have incentives to develop and maintain strong and uniform reputation globally. Consistent with this argument, we find that employing Big 4 auditors in India is associated with significantly lower levels of classification shifting. Our results also indicate that Big 4 auditors are likely to charge significantly higher fees than non-Big 4 auditors, which, in turn, is associated with a significant reduction in classification shifting.

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Hospitality financial management and contextualized decision making

Books | 2021

Hospitality financial management and contextualized decision making

Nan Hua, Barry Bloom, Agnes DeFranco, Toni Repetti, Twila Mae Logan, Dipendra Singh Mann, Peng Liu, Prashant Das and Arun Upneja

Kendall Hunt

The Black Box: Innovation and public policy in India

Books | 2021

The Black Box: Innovation and public policy in India

Rakesh Basant

Penguin Random House

Journal Articles | 2021

The implications of economic uncertainty for bank loan portfolios

Sanket Mohapatra and Siddharth M. Purohit

Applied Economics

This paper analyses the impact of economic uncertainty on the composition of bank credit across household and firm loans. Using bank-level data spanning 40 developed and developing countries, we find that higher economic uncertainty is associated with an increase in the relative share of household credit in the loan portfolio of banks. This change in composition of credit may result from banks efforts to reduce the overall riskiness of their loan portfolios, since corporate loans are generally viewed as riskier than household loans. This shift is more pronounced for weakly-capitalized banks, which may face greater risks during economic shocks, and for larger banks, which may be riskier due to complex business models and more market-based activities. The variation in our main findings by banks capitalization and size suggests that they arise from changes in bank credit supply in response to greater uncertainty. The baseline results hold for a range of robustness tests. Our study highlights the role of aggregate uncertainty in micro-level outcomes and are relevant for bank capital regulation and the conduct of macroprudential policy.

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Journal Articles | 2021

Central bank gold reserves and sovereign credit risk

Sawan Rathi, Sanket Mohapatra, and Arvind Sahay

Finance Research Letters

Gold holdings with central banks are often considered to play a stabilizing role in times of crisis. This paper performs a cross-country panel data analysis of developed and developing countries to determine whether gold holdings of central banks contribute to sovereign creditworthiness. Our analysis confirms that an increase in central bank gold reserves reduces the credit default swap (CDS) spreads of a country. We also observe that during global crisis and country-specific crisis episodes, the role of central bank gold becomes even more important. In robustness tests, we account for potential endogeneity of central bank gold reserves using a Generalized Method of Moments (GMM) approach. The findings highlight the importance of gold in central bank reserves and indicate a positive role of gold in mitigating a nations external vulnerabilities in an uncertain global economic environment.

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Elephants and cheetahs: The beauty of operations

Books | 2021

Elephants and cheetahs: The beauty of operations

Saral Mukherjee

Penguin Random House

Applied advanced analytics

Books | 2021

Applied advanced analytics

Arnab K. Laha

Springer