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The subject area of the case is operations management and capacity planning. The case adopts different operation strategies to use the idle capacity.

The case study is suitable for discussion in masters level classes. The case explains the situation of a company which is fighting for its survival. The case reveals the alternative operations strategies it applies to maximize its capacity utilization and reduce its costs.

The case describes a paper producing company which is earning low margins. The company’s capacity remains unused during the off-seasons. The company then plans to share its capacity with another dying industry. Both the companies plan to cooperate and share resources. However, there are other attractive alternatives too and the dilemma situations leave the gap for continuous discussions.

The case aims at providing potential alternatives to the students and initiating healthy discussions. The students will be able to understand the capacity utilization dilemmas and applicability of the operations strategy concept in practice.

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CSS 9: Operations and Logistics.

The active power filter with two-level inverter needs a high-rating coupling transformer for high-power applications. This complicates the control and system becomes bulky and expensive. The purpose of this paper is to motivate the use of multilevel inverter as harmonic filter, which eliminates the coupling transformer and allows direct control of the power circuit. The advancement in artificial intelligence (AI) for computation is explored for controller design.

The proposed scheme has a five-level cascaded H-bridge multilevel inverter (CHBMLI) as a harmonic filter. The control scheme includes one neural network controller and two fuzzy logic-based controllers for harmonic extraction, dc capacitor voltage balancing, and compensating current adjustment, respectively. The topology is modeled in MATLAB/SIMULINK and implemented using dSPACE DS1103 interface for experimentation.

The exhaustive simulation and experimental results demonstrate the robustness and effectiveness of the proposed topology and controllers for harmonic minimization for RL/RC load and change in load. The comparison between traditional PI controller and proposed AI-based controller is presented. It indicates that the AI-based controller is fast, dynamic, and adaptive to accommodate the changes in load. The total harmonic distortion obtained by applying AI-based controllers are well within the IEEE519 std. limits.

The simulation of high-power, medium-voltage system is presented and a downscaled prototype is designed and developed for implementation. The laboratory module of CHBMLI-based harmonic filter and AI-based controllers modeled in SIMULINK is executed using dSPACE DS1103 interface through real time workshop.

The paper aims to propose an optimized handover necessity estimation scheme for a mobile terminal (MT) traversing from a third-generation (3G) cellular network into the wireless local area network (WLAN) cell for reducing the number of handover failures and unnecessary handovers.

The proposed optimized handover necessity estimation scheme comprises of two algorithms – a “travelling time prediction” reliant on consecutive received signal strength (RSS) measurements and MT’s velocity, and a “time threshold estimation” depending on the handover latency, WLAN’s cell radius, tolerable handover failure probability and the tolerable unnecessary handover probability.

Our performance analysis reveals that the suggested mechanism effectively minimizes the number of handover failures and unnecessary handovers by 60 per cent as compared to the already proposed schemes in the literature.

The convergence of Internet and wireless mobile communication accompanied by a massive increase in the number of cellular subscribers has led mobility management to emerge as a significant and challenging domain for wireless mobile communication over the Internet. Mobility management enables serving networks to locate roaming terminals for the call delivery (location management) and ensures a seamless connection as MT enters into the new service area (handover management). In this manuscript, an optimized handover necessity estimation scheme has been envisaged for reducing the probability of handover failures and unnecessary handovers from 3G cellular networks to WLANs to provide optimal network utilization along with an enhanced user satisfaction. Performance analysis reveals that the suggested scheme yields enhanced results as compared to the schemes already proposed in the literature.

In India, one of the prime focuses of a post-graduate management program is to prepare students and make them job-ready. Masters in Business Management (MBA) program helps students to imbibe theoretical and practical skills which are required by the industry, which can make them hit the ground running from the day they start their career. Many students (almost 40–50%) get pre-placement offers based on their performance in summer internship. The selection for summer interns by the corporate happens within a few months of the student joining the MBA program. Signaling theory in education indicates that the level of productivity of an individual is independent of education, but the educational qualification acts as a testimony for higher ability. However, this theory does not explain the reason for the mismatch between “education and work” or “education and the disparity in salary” between individuals who earn differently but have the same qualification. The paper aims to explore three attributes namely – “employability”– the chance of being employable; “pre-placement offers” – the chance of securing a job offer based on the performance in internship and “salary” – the chance of bagging a good job offer with a high salary.

The authors have used longitudinal data consisting of 1,202 students who graduated from reputable business schools (B-Schools) in India. In the study, the authors have used predictive analytics on six years data set that have been gathered. The authors have considered 24 attributes including educational background at the graduate level (BE, B Tech, B Com, BSc, BBA and others), score secured in class ten (high, medium and low), score secured in class twelve (high, medium and low), score secured in graduation (high, medium and low), competency in soft skills (high, medium and low), participation in co-curricular activities (high, medium and low) and social engagement status (high, medium and low).

The findings of the study contradict the signaling theory in education. The findings suggest that the educational qualification alone cannot be the predictor of the employability and the salary offered to the student. The authors note that the better performance at a lower level of qualification (class 12) is the strong predictor in comparison to the student performance at their graduation and post-graduation level. The authors further observed at the post-graduate management education level that soft skills and participation in co-curricular activities are the major deciding factors to predict employability and pre-placement job opportunity and marks secured in class 12 is one more factor that gets added to this list to predict salary. The paper can immensely help management graduates to focus on key aspects that can help to hone appropriate skills and also can help management institutions to select the right students for management programs.

The analysis and the predictive model may apply to Indian B-Schools wherein the quality of students are almost the same or better. Predictive analytics has been used to explain the employability of management graduates alone and not any other.

The authors' study might be useful for those students who often fail to understand “what” skills are the most important predictors of their performance in the pre-placement and final-placement interviews. Moreover, the study may serve as a useful guide to those organizations that often face dilemmas to understand “how” to select an ideal candidate for the particular job profile from a campus.

The authors believe that the current study is one of the few studies that have attempted to examine the employability of management graduates using predictive analytics. The study further contradicts that the signaling theory in education does not help better explain the employability of the students in extremely high-paced business environments.

The purpose of this paper is to demonstrate the application of analytic network process (ANP) as a methodology to make multiple criteria decision in selecting the most appropriate maintenance strategy for organizations with critical manufacturing requirements.

Maintenance strategy selection problems are multiple criteria decision making (MCDM) problems which consist of many qualitative and quantitative characteristics. For solving MCDM problems, the ANP is highly recommended as it considers the interdependent influences among and between the various levels of decision attributes. In this research paper, the ANP method is used to select the optimum maintenance strategy in a cement industry in India.

The ANP method can be used as an effective tool for the evaluation of possible alternatives in maintenance strategy decision problems by considering the dependency among the strategic factors.

As illustrated in this paper, ANP method can also be used in other industries for adopting the optimum maintenance strategy to enhance the business performance by decreasing the losses associated with equipment effectiveness.

The major contribution of this research is the successful development of the comprehensive ANP model for the cement plant. ANP model incorporates diversified variables of the cement plant supply chain and includes their interdependencies. The proposed ANP model in this paper, not only guides the decision makers in the selection of the best services but also enables them to visualize the impact of various criteria in the arrival of the final solution.

The model can be extended to certain other manufacturing sectors as the future scope of research and may assist in obtaining a clear idea regarding the status of current maintenance strategies. It should be carried out with a larger number of firms in India focusing on small and medium firms to confirm these results and reinforce their applicability to these kinds of firms. Studies of such a nature would help in identifying successful organizational factors or successful maintenance practices that lead to superior performance.

This paper explores the value of implementing ANP as a decision making method in maintenance strategy, which is currently not a prevalent method.

The purpose of this paper is to develop and validate an extended Define-Measure-Analyze-Improve-Control (DMAIC) based framework through a case study of an Indian fasteners manufacturing organization.

Research methodology is established on the development of the existing DMAIC framework through an extensive literature review of 25 LSS/DMAIC based frameworks and discussions held with practitioners. This paper also depicts a case study of Indian manufacturing organization for validation of the developed framework.

The study proposed an extended DMAIC based framework for effective implementation of Lean Six Sigma (LSS) methodology. Furthermore, this framework has been implemented successfully in the Indian manufacturing organization and showed encouraging results. The in-house rejections of Nut Cylinder Head (NCH) were brought down to 966 from 2910 PPM and sigma level was improved by 0.40. The case organization has achieved significant improvements in the process capability, customer satisfaction, and cost savings of US$ 0.25 million in one financial year. Intangible benefits like improvements in employee's morale, communication, housekeeping and decision-making capabilities were also observed significantly.

The proposed DMAIC based framework has been implemented successfully in the Indian case organization, and the results will enable the policymakers, specifically practitioners, to strategically leverage the resources for successful implementation of the LSS in healthcare, aerospace, service sectors etc.

This research develops a DMAIC based framework which can be used to implement LSS effectively in different industries. Moreover, the pre (initial/introduction) and post (validation/verification) implementation phase provides the top management, an edge to think strategically into broader improvement areas.

The purpose of this paper is to identify and rank different dimensions of strategic orientation and firm’s performance using the approach of interpretive structural modeling.

The study uses interpretative structural modeling and the MICMAC technique to establish a hierarchical relationship among different dimensions of entrepreneurial orientation and manufacturing performance of Indian SMEs.

The final outcome of interpretative structural modeling and the MICMAC analysis revealed a relationship between the variables under study along with the categorization of all in two different categories, depending upon their driving power and dependency, which decision-makers can also use while devising their strategy to improve performance.

To date, to the best of the authors’ knowledge, no significant contribution about such interrelationship was reported; therefore, this study is one of its types to fill this gap.

The purpose of this paper is to describe philosophical positions about money laundering activities, depending on the way one looks at ethics and law.

The paper analyzes four philosophical positions about money laundering activities, given that one accepts/refuses to make connections between ethics and law. It explores the pitfalls of each philosophical position.

The sceptical way (ethical relativism) asserts that there cannot be any intrinsic notion of good/evil. The legally focused way (legal positivism) presupposes that ethics is irrelevant, when lawmakers are doing their job. The distorting way (legal moralism) takes for granted that lawmakers are deciding what is moral/immoral. The ethically focused way (normative ethics) means that ethics say something different than law. Each of the four philosophical positions about money laundering has its own pitfalls.

The four philosophical positions could influence the way ethical concerns are institutionalized in the organizational setting. Managers could better distinguish ethical discourse and legal/judicial realm. Ethical training sessions could be used to make organizational members circumscribing their moral duties, as to the detection/prevention of money laundering activities. Qualitative surveys could help to better understand if such philosophical positions are relevant for decision-making processes and philosophical questioning about ethical issues.

The paper addresses the issue of money laundering, from both a legal and moral perspectives. It is at the edge of ethics and philosophy of law.

The purpose of this study is to examine the extent to which an organization’s pursuit of radical and disruptive innovations and refinement of existing processes and incremental innovations influence the brand management capability, and subsequently, the brand performance in business-to-business firms.

The key informant approach is used for data collection. Panel data are obtained using the services of a reputable research firm. Existing scales are used to measure all the focal constructs. Partial least squares based structural equation modeling is used to test the hypotheses.

The results of this study indicate positive associations of both exploitative and exploratory innovation types with brand management processes. These findings signify the need for organizations to balance both these innovation types to maximize their performance.

This study prescribes an insight into the complex relationship that exists between organizational ambidexterity, brand management processes and brand performance, providing a framework that reconciles the seemingly conflicting goals of relevance and consistency in the development of brand management capability.

Given that very few firms can achieve ambidexterity, this study provides a means to maximize the potential of this organizational process.

This study borrows from the existing research on brand management to argue that organizations are required to balance both exploitative and exploratory innovation types to maximize their performance.