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The learning outcomes of this paper are follows: students should be able to understand the complexity related to the provision of safe drinking water for disaster-hit areas and effective solutions to overcome this problem. Also, students should be able to evaluate the need for awareness about post traumas mental health especially in case of disasters and identify how technology can provide answers to such critical issues.

The case represents a unique scenario where the head of an organization has moved away from the financial prospect and invested time and efforts for the provision of safe drinking water to the inaccessible areas and devise strategies for the improvement of disaster relief operations.

Undergraduate and post graduate students.

Teaching notes are available for educators only.

CSS 4: Environmental Management.

Padmanabhan A. 2017 “Civilian drones and India’s regulatory response”. Moushami P. Joshi and Jennifer E. Trock (2016) “India Moving Forward with Unmanned Aircraft Systems Regulations for Civil and Commercial Use” www.lexology.com/library/detail.aspx?g=6d596577-7a4a-4ecc-916e-83c4d37cc90c. www.indrones.com/2017/04/27/drone-industry-india/.Zeimpekis, Vasileios; Ichoua, Soumia; and Minis, Ioannis (2013), Humanitarian and Relief Logistics. Research Issues, Case Studies and Future Trends;Operations Research/Computer Sciences Interfaces Series. Springer Publications, www.springer.com/in/book/9781461470069.

The learning outcomes are to illustrate the concept and features of cost-effective and responsive supply chain, to explain the concept of hub and spoke and milk run methods used for delivery, to identify financial, operational and technological risks, to elaborate the importance of social dimension (behavioral dimension) in any technological change in an organization and to understand the concept of management of change in organizations.

The case deals with a typical challenge of periodical delivery systems, in this case specifically of The Topical, an Indian periodical. The service manager of the company, Sara Jindal, recognized a problem with customer retention. She explored the causes and found that The Topical, a 20-year-old company, was losing its popularity due to the untimely delivery of the magazines. To solve the problem Jindal, tried to gain an understanding of the operational processes and realized that there was no issue in the warehouse regarding inventory control, management or order pickup. However, she found that the magazines were parceled through book post and that there was no tracking policy in the company for the deliveries. Therefore, it was not possible to know whether the magazines got delivered on time. The matter was taken seriously and as a solution, the possibility of integrating drones into the delivery system came up.

Undergraduate and Postgraduate students.

CSS 9: Operations and Logistics

Organisations and industries are often looking for technologies that can accomplish multiple tasks, providing economic benefits and an edge over their competitors. In this context, drones have the potential to change many industries by making operations more efficient, safer and more economic. Therefore, this study investigates the use of drones as the next step in smart/digital warehouse management to determine their socio-economic benefits.

The study identifies various enablers impacting drone applications to improve inventory management, intra-logistics, inspections and surveillance in smart warehouses through a literature review, a test of concordance and the fuzzy Delphi method. Further, the graph theory matrix approach (GTMA) method was applied to ranking the enablers of drone application in smart/digital warehouses. In the subsequent phase, researchers investigated the relation between the drone application's performance and the enablers of drone adoption using logistic regression analysis under the TOE framework.

This study identifies inventory man agement, intra-logistics, inspections and surveillance are three major applications of drones in the smart warehousing. Further, nine enablers are identified for the adoption of drone in warehouse management. The findings suggest that operational effectiveness, compatibility of drone integration and quality/value offered are the most impactful enablers of drone adoption in warehouses. The logistic regression findings are useful for warehouse managers who are planning to adopt drones in a warehouse for efficient operations.

This study identifies the enablers of drone adoption in the smart and digital warehouse through the literature review and fuzzy Delphi. Therefore, some enablers may be overlooked during the identification process. In addition to this, the analysis is based on the opinion of the expert which might be influenced by their field of expertise.

By considering technology-organisation-environment (TOE) framework warehousing companies identify the opportunities and challenges associated with using drones in a smart warehouse and develop strategies to integrate drones into their operations effectively.

This study proposes a TOE-based framework for the adoption of drones in warehouse management to improve the three prominent warehouse functions inventory management, intra-logistics, inspections and surveillance using the mixed-method.

Saudi Arabia's 2030 vision targets an increase of 34% in non-oil revenue participation in the GDP, thus the need for automation and digital transformation. The Company ER is a market leader producing high-quality dairy products in the Kingdom and is a pioneer in the production industry. The company has recently increased the capacity of its milk factory to meet its vision. An investment was made to automate the pallet handling procedures at the milk factory to provide increased production for daily consumption. The new automation transition in Company ER's milk factory provides a unique opportunity to utilize lean management tools to improve the current automated processes before commercialization.

OEE (overall equipment effectiveness) will monitor losses for different operational losses in the new automated system and indicate system improvements, with 85% as the target. Based on DMADV (design, measure, analyze, design and validate) methodology, this study analyzes the entire automated pallet handling system. It uses lean tools to identify areas for improvement, identify waste elements and propose solutions to achieve Company ER's OEE targets.

In this paper, the outcomes will be presented as documented solutions that address the losses encountered in the production system, showing a 12.8% increase in the system's OEE.

Owing the time and resource constraint, this study only involved automated pallet handling procedures in a milk production facility. Hence, the generalization of the result is slightly limited. More studies in several different processes and sectors are required.

This study provided a valuable tool for researchers for gaining deeper understanding regarding the lean manufacturing and its implementation. For practitioners, it is useful to evaluate the degree of lean manufacturing tools in their material handling systems.

This study is the first attempt to develop lean manufacturing constructs for evaluating the automated pallet handling procedures in a milk production facility.