Operations Management: Strategies, Processes, and Forecasting
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Operations Management and SCM Fundamentals
Operations Management focuses on decisions for the internal production of a firm's goods and services. In contrast, Supply Chain Management (SCM) focuses on the sourcing and distribution of goods and services, alongside managing relationships with supply chain partners.
The IPO Model: Input, Process, Output
The IPO (Input-Process-Output) model defines operations as a collection of activities that take inputs and create value-added outputs. Process selection and design are based on volume and standardization.
Operations Strategy and Trade-offs
Mass customization is positioned on the right side of the job shop spectrum. Strategies are categorized as:
- Exclusive: Focuses on customization, flexibility, and quality.
- Generic: Focuses on cost leadership.
Trade-offs: Achieving one objective often requires sacrificing another (e.g., high quality may increase costs, while extreme flexibility can decrease quality).
Key Performance Metrics
- Order Qualifiers (OrderQ): Minimum criteria required for a product or service to be considered by a customer.
- Order Winners (OrderW): Criteria that differentiate products from competitors, resulting in won sales.
Process Mapping and Flow Analysis
In a process map, rectangles represent activities, triangles represent waiting, and arrows represent the flow. Key metrics include:
- Throughput Time: Total time a unit spends in the process from start to finish.
- Cycle Time (CT): Average time interval between the completion of two successive units.
- Flow Rate: Number of units emerging from a process per unit of time (1/CT). It cannot exceed the capacity rate.
- Little's Law: Inventory = Flow Rate × Throughput Time (ensure units are consistent).
Capacity and Bottleneck Management
Capacity Rate is defined as the number of resources divided by processing time. A bottleneck is the resource with the smallest capacity, which dictates the total capacity of the process. To manage constraints, follow these steps: Identify, Exploit, Subordinate, and Elevate.
Forecasting Methods
Forecasting is divided into quantitative and qualitative methods:
- Moving Average: Uses equal weights. A larger 'N' provides stability but more lag; a smaller 'N' is more reactive to demand spikes.
- Exponential Smoothing: Assigns more weight to recent history.
- Mean Absolute Deviation (MAD): Calculated as the average of absolute differences between forecast and demand. A lower MAD indicates a more accurate model.
Demand Patterns and Inventory
Demand patterns consist of levels, trends, and seasonality. Inventory buildup occurs when demand exceeds capacity, while inventory depletion occurs when there is excess capacity.
VUT Calculation and Pooling
Variability refers to any departure from absolute uniformity. Pooling resources together is a strategy used to increase efficiency and mitigate the impact of variability.
