Operations Management In Small Businesses – Key Techniques

Free Download Operations Management In Small Businesses – Key Techniques
Last updated 3/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.05 GB | Duration: 7h 1m
A toolkit for making small business operations effective and efficient

What you’ll learn
Successfully apply operations management techniques in a small business
Develop and implement operations that can deliver business strategy
Evaluate and select an operations management technique to deliver a specific need
Manage others to implement an operations management technique
Gain an understanding of the key elements of Artificial Intelligence
Gain an awareness of how Artificial Intelligence can be applied to Business Operations to good effect
Be able to converse and work effectively with AI specialists to Business Operations work together effectively to apply AI to
Requirements
There is no requirement for prior theoretical knowledge
To provide a meaningful context to apply the techniques, students should either be working in a small business or be familiar with a small businesss
Description
Small business operations are often developed informally and by trial and error. Operations management can make or break a business. As your business grows there will be a need to ensure the effectiveness and efficiency of its operations. Operations management techniques, which have their origins in large organisations, can be applied with great results in small businesses. This course is a practical guide to how these proven techniques can be used in small businesses.This course will take you on a journey through:Learning the key concepts of operations management Exploring how operations management can deliver your business strategyLearning how to design products, services, operations and processesExploring how operations can be planned and delivered Learning how operations can always be improvedThe course is aimed at owners and managers of small businesses. It is also suitable for business studies students, at any level, who are keen to run or work in a small business. You do not need any prior theoretical knowledge to take this course. You will need to have a passion for running a successful business, whether now or in the future. Practical experience of small business management or a general overview of the way a particular small business works will help you to relate these techniques directly to real situations. The course comprises 40 lectures in the form of video presentations and includes:4 quizzes to confirm your understanding of the course sectionsMini case studies of the applications of these techniques in a range of small business sectorsSuggestions for activities for you to apply specific techniques to your own business or a business you are familiar withDiscussions where we can share experiences of applying these techniques We will be learning a myriad of techniques including: fitting operations to strategy, optimising flexibility and cost, designing layouts, maximising yield, supply chain management, lean approaches, project planning and control, risk management and quality improvement.
Overview
Section 1: What is operations management? An introduction to the basic concepts.
Lecture 1 Introduction
Lecture 2 What is Operations Management?
Lecture 3 Introducing NEW lectures on Artificial Intelligence in Operations Management
Lecture 4 How every small business is engaged in transformation.
Lecture 5 The basic building blocks of operations management
Lecture 6 The characteristics of operations
Section 2: Operations management delivers and influences business strategy and performance
Lecture 7 The purpose of operations management
Lecture 8 The relationship between business strategy and operations
Lecture 9 Approaches to setting business strategy
Lecture 10 The contribution of operations
Lecture 11 Four perspectives on operations strategy
Lecture 12 What should an operations strategy contain?
Section 3: Design of of processes, operations, products and services.
Lecture 13 Product and service design
Lecture 14 Process design
Lecture 15 The product-process matrix and the product-service matrix
Lecture 16 Process mapping
Lecture 17 Supply network design
Lecture 18 The location of operations
Lecture 19 Layout and flow
Lecture 20 Process technology
Lecture 21 Innovation
Section 4: Planning and delivering operations
Lecture 22 The key building blocks of planning and control
Lecture 23 Planning activities
Lecture 24 Planning to meet demand
Lecture 25 Yield management
Lecture 26 Managing stock
Lecture 27 Supply chain performance
Lecture 28 Supply chain activities, relationships and behaviour
Lecture 29 Customer relationship management
Lecture 30 Streamlining your business with the LEAN approach
Lecture 31 The LEAN approach to small business set up and growth
Lecture 32 Materials requirements planning
Lecture 33 Enterprise resource planning
Lecture 34 Planning and controlling your projects – the “waterfall ” approach
Lecture 35 Planning and controlling your projects – the agile approach
Section 5: Improving operations
Lecture 36 What is quality?
Lecture 37 Quality management approaches
Lecture 38 Quality improvement approaches – Total quality management
Lecture 39 Quality improvement approaches – Improvement cycles
Lecture 40 Quality improvement approaches – Statistical process control
Lecture 41 Quality improvement approaches – Six Sigma
Lecture 42 Managing risk – Identifying the causes of risk
Lecture 43 Preventing failure
Lecture 44 Mitigating the effects of failure
Lecture 45 Recovering from the effects of failure
Lecture 46 Conclusion and next steps
Lecture 47 Introducing NEW lectures on Artificial Intelligence in Operations Management
Section 6: AI in Operations Management – Understanding Artificial Intelligence
Lecture 48 Artificial Intelligence in Operations Management – Introduction
Lecture 49 What is Artificial Intelligence
Lecture 50 What is a Neural Network
Lecture 51 Using AI in Operations Management
Lecture 52 Supervised Machine Learning
Lecture 53 Unsupervised Machine Learning
Lecture 54 Semi-supervised Machine Learning
Lecture 55 Reinforcement Learning
Lecture 56 Natural Language Processing
Section 7: AI in Operations Management – Applying AI to Business Operations
Lecture 57 Artificial Intelligence in Product Design
Lecture 58 Artificial Intelligence in Service Design
Lecture 59 Artificial Intelligence in Supply Network Design
Lecture 60 Artificial Intelligence in Process Technology Design
Lecture 61 Artificial Intelligence in Demand Forecasting
Lecture 62 Artificial Intelligence in Warehouse Operations
Lecture 63 Artificial Intelligence in Logistics
Lecture 64 Artificial Intelligence in CRM, ERP and Project Planning and Control
Lecture 65 Artificial Intelligence in the Improvement of Product Quality
Lecture 66 Artificial Intelligence in the Improvement of Service Quality
Small business owners and managers,Business studies students, at all levels, who plan to set up or work in a small business
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