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Technology has transformed how businesses operate. From automation and robotics in manufacturing to digital communication and data analytics, technology impacts every aspect of business operations. This lesson explores the main uses of technology in operations and their benefits and drawbacks.
| Technology | Description | Example |
|---|---|---|
| Automation and robotics | Machines and robots perform tasks previously done by humans | Car assembly lines (Tesla, BMW) |
| Computer-Aided Design (CAD) | Software used to design products digitally before manufacturing | Architects designing buildings; fashion designers |
| Computer-Aided Manufacturing (CAM) | Software controls manufacturing equipment for precision production | CNC machines cutting metal components |
| E-commerce platforms | Websites and apps that allow businesses to sell online | Amazon, Shopify, Etsy |
| Enterprise Resource Planning (ERP) | Integrated software systems that manage all business operations | SAP, Oracle — used by large businesses |
| Stock management systems | Software that tracks inventory levels, orders, and deliveries | Tesco's automated stock replenishment system |
| Communication technology | Email, video conferencing, instant messaging, collaboration tools | Microsoft Teams, Slack, Zoom |
| Social media | Platforms used for marketing, customer service, and brand building | Instagram, TikTok, LinkedIn |
| Data analytics | Using software to analyse large datasets to inform business decisions | Netflix analysing viewing habits to recommend content |
graph LR
A[Technology in Operations] --> B[Production]
A --> C[Stock & Supply]
A --> D[Sales & Customers]
A --> E[People & Decisions]
B --> B1[Automation & Robotics]
B --> B2[CAD / CAM]
C --> C1[Stock Management Systems]
C --> C2[ERP e.g. SAP, Oracle]
D --> D1[E-commerce platforms]
D --> D2[Social media]
E --> E1[Communication tools]
E --> E2[Data analytics]
E --> E3[Cybersecurity]
Technology changes the types of jobs available rather than simply eliminating jobs:
| Impact | Explanation |
|---|---|
| Job displacement | Routine, manual tasks are increasingly done by machines |
| New job creation | Technology creates new roles (e.g. data analysts, web developers, cybersecurity specialists) |
| Upskilling required | Workers need new skills to work with technology |
| Remote working | Technology enables employees to work from home |
| Gig economy | Platforms like Uber and Deliveroo create flexible, technology-enabled work |
Amazon uses thousands of robots in its fulfilment centres to move shelves of products to human workers who pick and pack orders. This has dramatically increased the speed and efficiency of order processing. However, it has also raised concerns about working conditions and the future of warehouse jobs as automation increases.
Exam Tip: Technology questions often require evaluation. Discuss both benefits and drawbacks, and consider the impact on different stakeholders (owners, employees, customers). Always provide specific examples.
The Amazon fulfilment centre at Rugeley, Staffordshire — opened in 2011 on the site of the former Lea Hall Colliery — is one of the UK's most-studied examples of technology transforming business operations. At approximately 700,000 square feet and employing around 1,200 permanent staff (scaling to 3,000+ at Christmas peak), Rugeley is a case study in how robotics, software, and data combine to power modern e-commerce.
Technologies in use at Rugeley:
Robotic drive units (Kiva / Amazon Robotics) — thousands of small orange robots move entire shelving "pods" across the warehouse floor to human pickers. Instead of workers walking miles between shelves, the shelves come to them. This single change roughly tripled picking productivity.
Barcode scanners and handheld devices — every picker carries a scanner that directs them to the next item and guides every packing step. The system prevents wrong-item errors by requiring each scan to match expected data.
Warehouse management software — Amazon's proprietary system calculates the optimal storage location for every item based on size, demand frequency, and stock levels. Popular items are stored closer to packing stations.
Stock management and forecasting — machine-learning models predict demand, triggering automated reordering from suppliers and rebalancing stock between fulfilment centres.
Conveyor systems and sortation — kilometres of conveyors move packed boxes through automated sorters that read shipping labels and direct parcels to the correct delivery lanes.
Communication technology — managers use tablets and real-time dashboards to monitor productivity, error rates, and safety metrics at the individual, team, and site level.
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