Strategic Operations in the AI Era: A Tutorial on Analyzing Operations and Technology Management

Introduction: Operations Management in the Age of AI and Digital Twins

Welcome to this tutorial designed to help you excel in your EFIMM0072 Strategic Operations Management and EFIMM0075 Supply Chain Technology and Digitalisation assignment. As of June 2026, the business landscape is rapidly evolving with AI-driven supply chains, digital twins, and blockchain-based traceability becoming mainstream. This tutorial will guide you through the key components of your individual project, using timely examples from current trends such as AI in logistics, smart warehousing, and sustainable operations. By the end, you'll be equipped to produce a compelling management consultancy report.

Understanding the Input-Transformation-Output Model

The first part of your assignment requires you to explain the operation under study using the input-transformation-output (ITO) diagram. This classic operations model remains highly relevant in 2026, especially when applied to digital-native companies. For instance, consider a company like Zara (or any fast-fashion retailer) that uses AI to predict trends and IoT sensors in stores. The inputs include raw materials, data from customer preferences, and energy. The transformation process involves design, manufacturing, and logistics, all powered by AI algorithms. The outputs are finished garments and real-time inventory data. To draw your ITO diagram, clearly define the boundaries—for example, focus on the online order fulfillment process rather than the entire supply chain. This focus allows for deeper analysis. Remember to discuss strategic implications: what do customers expect today? In 2026, customers demand hyper-personalization, next-day delivery, and transparency in sustainability. Studying this operation is worthwhile because it showcases how technology meets these expectations.

Process Mapping: From Traditional to Digital

Question 2 asks for a detailed process map. Use standard flowchart symbols: ovals for start/end, rectangles for activities, diamonds for decisions, and arrows for flow. For a modern operation like an AI-driven warehouse, your process map might include steps such as: order received (system), AI picks route optimization, robotic picking, quality check via computer vision, packing, and dispatch. Discuss each step in detail: resources required (robots, sensors, cloud computing), time spent (e.g., AI optimization takes milliseconds), and the flow between symbols. In 2026, many companies use digital twins to simulate these processes before implementation. You can mention that as a trend. Ensure your map is clear and well-defined, with a legend for symbols.

Identifying Operational Issues in the Digital Age

For question 3, you need to identify one or more operational issues. Common issues include inventory management, service quality, queuing, capacity, and supply chain disruptions. In 2026, a pressing issue is supply chain resilience amid geopolitical tensions and climate events. For example, a semiconductor shortage still affects electronics. Another issue is last-mile delivery efficiency in urban areas. Discuss how these issues impact strategic objectives like cost, speed, and sustainability. For instance, poor inventory management leads to stockouts or excess, hurting customer satisfaction and increasing waste. Use current data: a recent report by McKinsey (2025) shows that AI-driven demand forecasting reduces inventory costs by 20-30%. Connect to real-world examples like Amazon's use of AI to optimize warehouse stock.

Disruptive Technologies: Three Alternatives

In question 4, you must propose at least three technological solutions. Based on 2026 trends, consider: 1) AI and Machine Learning for demand forecasting and predictive maintenance. 2) Internet of Things (IoT) for real-time tracking of assets and inventory. 3) Blockchain for transparent and secure supply chain traceability. Each technology addresses different issues: AI improves forecasting accuracy, IoT enhances visibility, and blockchain builds trust. For each, explain how it works and its relevance to your chosen operation. For example, in a food supply chain, IoT sensors monitor temperature, blockchain records every transaction, and AI predicts spoilage. Be critical: note limitations like high implementation cost or data privacy concerns.

Justifying the Right Technology: External Environment and Governance

Question 5 requires you to justify why a specific technology (not all three) is suitable, considering external factors and governance. In 2026, regulatory frameworks like the EU AI Act affect technology adoption. For a company in Europe, blockchain might be favored for compliance with sustainability reporting. Pros of blockchain include immutability and transparency; cons include energy consumption (though newer consensus mechanisms reduce this). Analyze the external environment: economic trends (e.g., inflation), political factors (trade policies), and social trends (consumer demand for ethical sourcing). Governance issues like data ownership and algorithmic bias must be addressed. For example, if using AI for hiring in operations, ensure fairness. Justify your choice by showing how the technology aligns with the company's strategic goals and external pressures.

Managing Change: Overcoming Resistance to Technology Implementation

Finally, question 6 asks for managerial suggestions to ensure smooth implementation. Change management is crucial in 2026, as employees may fear job loss due to automation. Recommend: 1) Transparent communication about how technology augments rather than replaces roles. 2) Upskilling programs (e.g., training warehouse staff to manage robots). 3) Phased implementation with pilot projects to demonstrate benefits. Use examples from companies like DHL, which successfully introduced autonomous forklifts by involving workers in the design. Also, consider cultural resistance: in some organizations, a top-down approach fails; instead, use participatory methods. Emphasize leadership support and continuous feedback loops. In 2026, many firms use digital adoption platforms to ease transitions.

Conclusion: Synthesizing Your Report

Your final report should weave together these elements into a coherent narrative. Start with an executive summary, then follow the assignment structure. Use academic references (e.g., Slack, Brandon-Jones, and Johnston's Operations Management) and current news (e.g., from Supply Chain Dive or Gartner). Remember to allocate word count between EFIMM0072 and EFIMM0075 components. By applying the concepts in this tutorial, you'll demonstrate a deep understanding of strategic operations and technology management in the Industry 4.0 era. Good luck with your submission on December 9, 2025!