<p>IIM Indore seeks to be a contextually-relevant business school with world-class academic standards that develops socially-conscious managers, leaders and entrepreneurs. IIM Indore is committed to: Excellence in management education, research, and training, Use of contemporary participant-centric pedagogies and teaching methods, A presence in emerging segments of management education.</p>

IIM Indore

Operation Management and Quantitative Techniques

To retain a customer in a logistics industry is difficult as it highly depends on the customer relationship management (CRM) and the quality of the service delivered. The existing customers are to be retained for longer period of time for maximum profit contribution. Hence, it is important to perform a data analysis on the CRM data to identify the right segment of customers who are to be retained to maximise profit. This study segments the customers depending on the parameters recency, frequency, and the monetary value, known as RFM analysis. Customer lifetime value estimation is done on segments obtained using the RFM Analysis to identify the profit contribution of each of the segments. The analysis carried out aids the management to adopt decisions on marketing strategies based on the RFM scores and CLV of each segment. Company can also take decisions on budget spending in retaining the right customers.

International Journal of Applied Management Science

An RFM and CLV analysis for customer retention and customer relationship management of a logistics firm

Tata Communications Limited, a leading global telecom giant headquartered in Mumbai, India was facing a grave situation of losing clients in its unified communication services. The situation arose due to high delivery turnaround times in order processing which were mainly due to redundant process steps and sales operations. This case provides, a step-bystep analysis in continuous improvement and deploying Six Sigma systematically. Students apply the structured Six Sigma based Define, Measure, Analyse, Improve and Control (DMAIC) methodology to improve the process. They define the problem, collect appropriate measures, calculate sigma levels using process capability analyses and arrive at root causes using fishbone and affinity diagrams. Students also brainstorm common sense solutions to address and prioritise the root causes using appropriate tools such as prioritisation matrix. Finally, students suggest suitable plans to control and sustain the solutions. Our case helps students to understand the basics of Six Sigma in solving complex problems faced in a telecom-oriented service industry thereby providing them with experience of real-world industry problems.

World University root node

Operations Management Education Review

Six Sigma Deployment at Tata Communications Limited, India - A Case Study

<p>The space-time fractional Poisson process (STFPP), defined by Orsingher and Poilto (2012), is a generalization of the time fractional Poisson process (TFPP) and the space fractional Poisson process (SFPP). We study the fractional generalization of the non-homogeneous Poisson process and call it the non-homogeneous space-time fractional Poisson process (NHSTFPP). We compute their pmf and generating function and investigate the associated differential equation. The limit theorems for the NHSTFPP process are studied. We study the distributional properties, the asymptotic expansion of the correlation function of the non-homogeneous time fractional Poisson process (NHTFPP) and subsequently investigate the long-range dependence (LRD) property of a special NHTFPP. We investigate the limit theorem for the fractional non-homogeneous Poisson process (FNHPP) studied by Leonenko et al. (2014). Finally, we present some simulated sample paths of the NHSTFPP process.</p>

Fulltext

Stochastic Analysis and Applications

Non-homogeneous space-time fractional Poisson processes

<p>Nonprofit health care organizations in low- and middle-income countries often pursue a cross-subsidization business model wherein services are offered to poor patients for free through surpluses generated by serving some patients at market prices. This approach allows such organizations to fulfill their mission-oriented and revenue-generation goals. Conventional wisdom holds that mission activities need financial subsidies from revenue-generating activities. The authors examine this dependence in the context of Aravind Eye Hospitals, which delivers eye care services in India. They measure whether the marketing activities (outreach camps) of Aravind that are targeted only to poor patients produce the spillover benefit of attracting paying patients to its hospitals. Using nine years of patient-level historical data, the authors find that camps increase the flow of paying patients. These effects are comparable to the camps acting as advertising for Aravind. Using model estimates, the authors compute the incremental revenue accruing to Aravind from a camp and find that it exceeds the incremental cost of a camp. The findings challenge conventional beliefs about the subsidies required by mission activities.</p>

Journal of Marketing Research

<p>Spillover Effects of Mission Activities on Revenues in Nonprofit Health Care: The Case of Aravind Eye Hospitals, India</p>

<p>This paper investigates the impact of link formation between a pair of agents on resource availability of other agents in a social cloud network, which is a special case of socially-based resource sharing systems. Specifically, we study the correlation between externalities, network size, and network density. We first conjecture and experimentally support that if an agent experiences positive externalities, then its closeness (harmonic centrality measure) should increase. Next, we show the following for ring networks: in less populated networks no agent experiences positive externalities; in more populated networks a set of agents experience positive externalities, and larger the distance between agents forming a link, more the number of beneficiaries; and the number of beneficiaries is always less than the number of non-beneficiaries. Finally, we show that network density is inversely proportional to positive externalities, and further, it plays a crucial role in determining the kind of externalities.</p>

Applied Economics Letters

Externalities in Socially-Based Resource Sharing Network

<p>Personalized (patient-specific) approaches have recently emerged with a precision medicine paradigm that acknowledges the fact that molecular pathway structures and activity might be considerably different within and across tumors. The functional cancer genome and proteome provide rich sources of information to identify patient-specific variations in signaling pathways and activities within and across tumors; however, current analytic methods lack the ability to exploit the diverse and multi-layered architecture of these complex biological networks. We assessed pan-cancer pathway activities for &gt;7700 patients across 32 tumor types from The Cancer Proteome Atlas by developing a personalized cancer-specific integrated network estimation (PRECISE) model. PRECISE is a general Bayesian framework for integrating existing interaction databases, data-driven de novo causal structures, and upstream molecular profiling data to estimate cancer-specific integrated networks, infer patient-specific networks and elicit interpretable pathway-level signatures. PRECISE-based pathway signatures, can delineate pan-cancer commonalities and differences in proteomic network biology within and across tumors, demonstrates robust tumor stratification that is both biologically and clinically informative and superior prognostic power compared to existing approaches. Towards establishing the translational relevance of the functional proteome in research and clinical settings, we provide an online, publicly available, comprehensive database and visualization repository of our findings (https://mjha.shinyapps.io/PRECISE/).</p>

Scientific Reports

Personalized Integrated Network Modeling of the Cancer Proteome Atlas

<p>This research describes in detail an application of theory of constraints (TOC) and its resulting benefits on the supply chain performance of India's largest lock manufacturing company over a period of seven years. Using TOC's thinking process, the core constraints that had limited the company's performance in the areas of production, distribution, supply group and projects were identified and eliminated. TOC's unique approach helped the company achieve a significant reduction in its finished goods, raw material and work-in-process inventories at various levels across the supply chain. The stock-outs and excess in the distribution system nearly disappeared. The existing lead times saw a drastic reduction while the availability of items increased to nearly 100% despite significant decrease in inventory levels in the supply chain. The inventory turns of the distributors and retailers more than tripled and their profitability increased significantly. The overall sales of the company grew nearly three times during the six years post TOC implementation. TOC's holistic approach helped the company to double its profits and improve its cash position during the Great Recession.</p>

Information Systems

International Journal of Production Research

Revolutionizing supply chain management the theory of constraints way: a case study

<p>The automotive industry is the fastest growing industries in India. It contributes 7.1% of the country’s gross domestic product (GDP) in Indian market by IBEF reports. This research has examined the financial performance ranking of the automotive industry using technique for order preference by a similarity to ideal solution (TOPSIS) method. The primary objective of this paper is to: 1) calculate weight value of each financial ratio; 2) provide ranks to each alternative (automotive companies) using TOPSIS method. The period for assessment of automotive industry was from 2012 to 2016 and results indicate each year’s automotive performance ranking. The results showed that MRF has the highest ranking in the years 2012, 2013, 2015 and 2016 and Eicher Motors in 2014. Every year different automotive firms had the lowest ranking.</p>

International Journal of Business Excellence

Financial performance ranking of automotive companies in India using TOPSIS method

<h3>Purpose</h3><p>This paper aims to attempt to examine pressures, incentives, processes and practices used for sustainable sourcing. Further, it also proposes a framework to provide a composite method for monitoring and controlling the sustainability aspects of supply management. This would enable suppliers to consider buyers’ requirements, translate these into suitable strategies, assess suppliers’ capabilities and also judge the impact of these strategies on suppliers.</p><h3>Design/methodology/approach</h3><p>This study opts for literature review as a method. In total, 150 research papers in peer-reviewed English language journals were reviewed to examine the pressures, incentives, processes and practices used for sustainable sourcing.</p><h3>Findings</h3><p>This study attempts to answer the “why”-, “what”- and “how”-related questions about sustainable sourcing. It is observed that research in sustainable sourcing is multileveled and involves various functional departments in a firm. It is diverse and fragmented and is more concentrated on certain geographic areas, industries and methodologies.</p><h3>Practical implications</h3><p>This study can be helpful to both researchers and practicing managers. It provides a snapshot of the work done on sustainable sourcing, which can be used as a base for research addressing specific aspects of sustainable sourcing or for building strategies related to sustainable sourcing.</p><h3>Originality/value</h3><p>This study takes the present reviews available in the literature forward and provides a generic view of sustainable sourcing and proposes a composite method for monitoring and controlling the sustainability aspects of supply management. It attempts to consolidate the diverse literature presently available on sustainable sourcing.</p>

Journal of Global Operations and Strategic Sourcing

Motives, processes and practices of sustainable sourcing: a literature review

<p>The automotive industry is the fastest growing industries in India. It contributes 7.1% of the country's gross domestic product (GDP) in Indian market by IBEF reports. This research has examined the financial performance ranking of the automotive industry using technique for order preference by a similarity to ideal solution (TOPSIS) method. The primary objective of this paper is to: 1) calculate weight value of each financial ratio; 2) provide ranks to each alternative (automotive companies) using TOPSIS method. The period for assessment of automotive industry was from 2012 to 2016 and results indicate each year's automotive performance ranking. The results showed that MRF has the highest ranking in the years 2012, 2013, 2015 and 2016 and Eicher Motors in 2014. Every year different automotive firms had the lowest ranking.</p>