AA

Operations Management: Long-Term Planning of Capacity and Location Installation

Operations Management - Unit 2: Long-Term Planning of Capacity and Location Installation

Long-term Planning of Capacity

  • Definition: Maximum amount of goods that a production unit can produce under normal operating conditions over a specified period.

  • Related to resources: Reflects the amount of resources available within that time frame.

  • Common Mistakes:

  • Confusing maximum capacity with sustainable capacity.

  • Failing to consider the time factor in capacity planning.

Determination of Production Capacity

  • Demand Forecast: Important for determining required capacity, which may differ from actual demand.

  • Establishing Alternatives:

  • Evaluate if the necessary capacity is greater than or less than the existing capacity.

  • Evaluation and Selection Process: Consider qualitative and quantitative aspects using tools such as decision trees.

Decision Trees
  • Symbols:

  • □ (Decision Node): Where one of several alternatives can be selected.

  • ⚪ (State-of-nature Node): Identifies outcomes that may occur.

  • Example:

  • Favorable Market: Construct large plant costs $180,000 versus $120,000 for a small plant.

  • Unfavorable Market shows losses for both options, emphasizing risk assessment.

Location Quantitative Methods

  • Definition: The process of selecting a location for productive activity.

  • Importance:

  • Long-term financial commitment.

  • Competition and operational efficiency are influenced by the chosen location.

Reasons for a New Location
  • Insufficient production capacity.

  • Changes in materials used for production.

  • Anticipated competition changes.

  • Shifts in geographical demand.

  • Mergers and acquisitions.

Alternatives
  • Expand existing facilities.

  • Add new locations.

  • Close some facilities and open others.

Key Considerations for Location
  • Human Resources:

  • Availability, qualifications, labor costs, productivity, local legislation.

  • Local Surroundings:

  • Climate, culture, language, political stability, housing market.

  • Infrastructures: Ease of communication and transport.

  • Material Resources:

  • Raw material availability, supplier access, energy sources, land suitability.

  • Financial Resources:

  • Availability of banking services, fiscal benefits.

New Concepts of Localization

  • Industrial Parks: Areas designed for different industries to coexist with benefits.

  • Business Incubators: Spaces for young companies to develop collectively.

Weighting Factors

  • Selection Methodology:

  • Identify key factors and assign weights based on their relevance to each location.

  • Multiply scores by their respective weights to determine the best location.

  • Score Example:

  • Labor availability: 0.25 weight with scores for France and Denmark resulting in a total comparison score.

Cost-Volume Analysis

  • Process:

  • Graph costs against production volume to identify minimal cost locations.

  • Determine fixed and variable costs for each location and establish production levels.

Decision Criteria Under Risk and Uncertainty

  • Methods to Evaluate:

  • Wald Criteria, Optimistic and Pessimistic approaches, and the Laplace Criterion to handle uncertainty.

  • Assign probabilities to various states of nature when known.

Center of Gravity Method

  • Purpose: Determines ideal locations based on transport costs and volumes to minimize expenses.

  • Steps:

  • Identify potential locations and plot on a coordinate system.

  • Calculate the center based on the quantity and distances involved.

Transport Method

  • Overview: Solves distribution problems by minimizing shipping costs across multiple origins and destinations.

  • Uses linear programming to optimize transportation decisions.

  • Steps to Solve Transport Problems:

  1. Formulate Cost Function: Minimize total transportation costs.

  2. Identify initial feasible solutions using methods like the Northwest Corner or Minimum Cost Method.

  3. Apply the Stepping-Stone algorithm to refine to the optimal solution.


This comprehensive overview of long-term planning in operations management covers essential concepts, methodologies, and analytical approaches crucial for effective capacity and location decision-making.