Case studies

After completion of the case study, students will be able to recall the fundamental concepts of group arrival and the check-in process within the hotel industry; explain the various operational procedures used to enhance a smooth group check-in in hotels; use the steps defined in group check-in procedure to improve service efficiency in hotel operations; and examine and evaluate the optimal solution for a smooth group check-in for hotels.

“The Big Fat Indian Wedding” delves into the challenges faced by Hotel Plaza Blu, a business hotel in Pune, Maharashtra, in 2023. A big wedding group was arriving at the hotel, which comprised almost 350 adults and 120 children. Mr Parag Patil, the front office manager, had done all the preparations for group arrival but just one hour before the arrival Mr Suresh Menon, the group coordinator, came and informed that 150 additional guests would be arriving, as the other hotel, where arrangements for these guests were made, had a major electricity generator breakdown and the hotel was in complete blackout. Patil had the challenge of formulating an action plan to achieve a smooth group check-in with the last-minute changes.

Executive development programmes and graduate-level courses in non-profit hospitality and tourism management might benefit from this case study. The operational management courses in the BBA, UG management programmes might all benefit from using this case study.

Teaching notes are available for educators only.

CSS 9: Operations and Logistics.

After completion of the case study, the students will be able to appraise the importance of different methods of location planning in warehouse selection, analyze the load distance values for warehouse location and choose the optimum location based on the load distance analysis.

DB Builders, a prominent Indian construction company, faced a crucial decision in selecting an ideal storage warehouse for a project involving 100 flats spread across five locations. Mr Vijay Kumar, an experienced material handling expert, was entrusted with this task as part of transitioning the company’s material allocation system toward centralization. Using practical travel distances, Kumar meticulously scouted four potential warehouse locations. The selection process hinged on three primary factors: load, distance to apartment sites, safety and cost of the premises, each carrying specific weightage. The project planning department provided scores for safety and cost, helping evaluate the options. This unique challenge arises due to varying material requirements across the apartment locations, demanding an efficient warehouse planning. The selection of the optimal storage warehouse holds paramount importance in facilitating the smooth execution of these larger projects. Kumar’s expertise and strategic decision-making are pivotal in ensuring a seamless transition toward centralized material handling, which is essential for the company’s future success.

This teaching activity is aimed at introductory/basic courses in Bachelors and Masters of Business administration.

Teaching notes are available for educators only.

CSS 9: Operations and Logistics.

Tiffany & Company was the leading U.S. luxury jewelry brand, generating more than $2.6 billion in revenue through 167 retail outlets globally and from catalogue and Internet sales. For nearly 170 years, Tiffany had managed its brand. In February 2007, a hedge fund, Trian Fund Management LP, announced that it had bought a 5.5% stake in Tiffany, and became its largest shareholder. Trian believed that Tiffany was undervalued and stated that it wanted to help the company “improve its earnings per share by addressing various operational and strategic issues.” In response, Tiffany began to consider different actions to increase shareholder value.

The case revolves around a marketing/sales executive who works in the Ad Sales wing of a popular search engine. Over the course of the case, the protagonist realizes that their marketing strategy needs to refocus on a different vertical than the one they have been paying the most attention to. He had done the required data analysis and feels the data strongly points to a need for change in their strategy. However, he needs to convincing the higher management by put together a compelling pitch using storytelling elements, so that the message in his data gets across clearly, compelling them to act.

After a tumultuous five months, Nestle India was exonerated in the Maggi crisis just in time for Diwali. Although the mood was one of vindication, the leadership team with Suresh Narayanan at the helm, knew they faced a major challenge to regain lost glory. Stock price had plummeted along with consumer confidence which went down from over 90 to less than 5 per cent. Part B traces the efforts of Nestle India to not only reinforce the message of product quality but also to engage consumer trust. Through changes in product strategy, organizational structure, and multi-pronged communication, Maggi was able to rekindle the emotional connect with the consumer and surge back. On 30 November 2019 despite loss of market share, consumer faith and trust in 2015, Nestlé India was trading at INR 14,453/55 (NSE/BSE;~US$225) per share after hitting a record low of INR 4981 (~US$76) on 29 February 2016. Part B of the case outlines the measures Nestle India took to bounce back and asks if Nestle India's reputation out of the woods. Could the past come back to haunt Maggi or was the worst behind them? 1. Evaluate communication strategies available to organizations in a crisis situation. 2. Analyse the power and influence of consumer sentiment in reputation management.

The case has the following learning objectives:

1. understand the various types of comparisons that are possible between groups over time and across space;

2. evaluate a policy intervention using relevant data and different methods; and

3. understand the meaning of the phrase “controlling for other relevant factors” in regression and non-regression contexts.

The difference-in-differences (DID) approach is a useful tool for making meaningful comparisons. This case tries to provide a non-technical introduction to the approach using a basic comparison of crime rates among districts in Punjab (Pakistan's largest province). Being the most populous region of the country, Punjab faces many governance challenges, and street crime is one of them. (Exhibit 5 provides additional information about the geographical and administrative setting used in this case study.) In 2016, Chief Minister Shahbaz Sharif established the Dolphin (police) Force in different locations to improve urban patrolling and reduce street crime. There were debates about the effectiveness of the Dolphin Force (DF).

Those who are skeptical of DF point to various situations that were handled incorrectly by DF personnel, as well as other administrative and operational problems in the initiative. Optimists believe it is beneficial and want it to be expanded to other districts and regions. The threat of street crime claims many lives and, according to optimists, necessitates the formation of a special force. Whether the huge resources invested in the DF worth their lot or not can be known through sound statistical analysis that can identify the difference in the rate of crime because of the DF. In this instance, the case provides information to answer the following question:

Is there a significant difference in crime rates between areas where the DF is operating and districts where it has not yet been installed?

In quantitative/statistical analysis classes, the case can be used to teach the DID technique to MBA/MS Applied Statistics/Applied Data Analysis students. It can also be used in undergraduate Econometrics classes.

Teaching notes are available for educators only.

CSS 7: Management Science.

The case primarily focused on a real-life problem and shows that existing operations management tools can be used to solve a complex problem. Through this case, the participants will learn the application of the factor loading method and aggregate planning.

This case revolves around the Modi Agro Pvt. Ltd, a mango procurement and distribution business established in 1994 by Mr Dhanush Modi in Mumbai, India. Mr Mahendra Modi, son of the company owner, observed that the different seasons of cultivation and varied customer demands lead to changing workforce requirements during the procurement process. In addition, the production quality, variety, available resources, procurement location and cost play a significant role in establishing a long-term relationship with the customers. This case highlights the problem faced by Mahendra in determining an appropriate location among all available options for mango procurement and the optimal workforce for each month to meet the varying customers’ demands.

The case can be used as teaching material for participants of the course Service Operations Management, Operations Management, Decision Analysis and Quantitative Techniques

Teaching notes are available for educators only.

CSS 9: Operations and logistics.

This case introduces the context of seaport logistics supply chain management with a focus on the issues of risk management in handling and transportation of dangerous goods (DG). The authors present the following learning objectives under the overarching framework of Bloom’s Taxonomy as follows: To understand the severity of handling and transportation of DG in the export supply chain context. To understand the relevance of multi-criteria decision-making in risk assessment. To apply Delphi Technique to appropriately explain the process of risk assessment in a supply-chain context.

It was midnight on December 21, 2020, and Nishadh Amonkar, Chief Executive Officer, Yorokobi, was still awake recollecting his telecon with Tushar Rane, the Head-Materials, Western Maharashtra site of Crop Life Pvt Ltd. The organization was developing and manufacturing pesticides and other specialty chemicals for its clients worldwide. As new and diverse products were being manufactured in the organization, transportation of the products was becoming challenging. The case highlights the need for a data driven risk assessment approach to manage supply chains that were prone to product driven risks such as the handling and transportation of DG.

This course is suitable at the Master of Business Administration level for the following courses: Supply Chain Management (Focus/Session: Supply Chain Risk Management), Logistics Management (Focus/Session: Risks in Logistics and Supply Chain), Research Methodology (Focus/Session: Application of Delphi Technique).

Teaching notes are available for educators only.

CSS 9: Operations and logistics.

To understand the strategic importance of location selection within the organization. To analyze the constraints in decision-making for selection of location. To analyze the alternate options for a location selection. To understand the usage of the factor rating method.

Due to a countrywide anti-encroachment drive, Mr Mughal loses his shop. He had just received a notice that his shop including those of others near him was established on one of the amenity plots. The structure was declared as illegal and was to be demolished in 24 h. He had to vacate the shop and his display center to avoid the loss of his items. He along with other shop owners approached to Supreme Court of Pakistan (SCP) to stop this demolishing act and to prove that these shops belonged to them for decades and that they had already paid the price of shops at that time. However, the SCP rejected their appeal straightforward and the anti-encroachment drive was carried out. Now, Mr Mughal had to find out an alternate location to establish his display center and to resume his business operations.

Undergraduate.

Teaching Notes are available for educators only.

CSS 9: Operations and logistics.

The learning outcomes are as follows: How to establish credibility of data sources; measurement scales of data; the importance of descriptive statistics and generating the following based on the type of data: mean, median and standard deviation; graphical methods; and test for differences: t-test and analysis of variance.

The case is set during the COVID-19 pandemic and the South African Government’s response to the pandemic. A brief timeline is provided as part of the introduction to the case study, with the following being a timeline of the events: 14 March 2020, 114 South African citizens were repatriated from Wuhan the epicentre of the COVID-19 outbreak; 15 March 2020, South Africa’s President, Cyril Ramaphosa declares a National State of Disaster, and this includes various measures to protect against the spread of COVID-19, while the health-care system is geared up to deal with the pandemic. Among the measures implemented, travel bans from high-risk countries and closing of air-traffic, closing of land ports and banning of gatherings of more than 100 people; 23 March 2020, President Cyril Ramaphosa announced a national lockdown beginning on 27 March 2020 for three weeks; 9 April 2020, President Ramaphosa extends the national lockdown by a further two weeks. The World Health Organisation (WHO) had commended South Africa on the swift action taken to curb the spread of the virus. Individuals and organisational leaders are grappling to make sense of the spread of the virus, and the barrage of the information that is being communicated through multiple channels, formal and informal. To make sense of the information, the case is premised on getting access to the raw data and conducting the analysis based on the publicly available data. The central requirement of the case is to compare the number of positive cases per million, based on the population data contained in the data set, of South Africa to a comparable country.

Post-graduate students learning statistics as part of a degree programme. The case assumes no prior statistics knowledge and therefore is aimed at teaching the importance of the basics of statistical analysis and then progressing to tests for differences.

CSS 7: Management Science

Teaching Notes are available for educators only.