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Monique Food Processing Company Produces Light Snacks That Can Be Heat

Monique Food Processing Company produces light snacks that can be heated in a microwave. The following steps are included in the process:

  • Step 1: Prepare food — Capacity: 200 units/hour
  • Step 2: Measure and place in plastic pouch — Capacity: 175 units/hour
  • Step 3: Prepare cardboard box — Capacity: 200 units/hour
  • Step 4: Insert pouch into box — Capacity: 300 units/hour
  • Step 5: Shrink-wrap box — Capacity: 200 units/hour

Determine the system capacity, identify the bottleneck department, evaluate slack capacity in other departments, analyze potential system capacity gains from capacity adjustments, and discuss factors influencing capacity decisions. Additionally, explain why an organization might want to reduce its capacity, including relevant calculations.

Paper For Above instruction

Understanding the maximum output of a manufacturing process is crucial for effective capacity planning and operational efficiency. In the case of Monique Food Processing Company, evaluating each step’s capacity helps determine the overall system capacity, identify bottlenecks, and assess opportunities for optimization. This analysis provides insights into process bottlenecks, slack capacities, and the strategic considerations involved in capacity adjustment and reduction.

Determining System Capacity

The system capacity is dictated by the slowest or most constrained step in the production process, commonly known as the bottleneck. To find the overall system capacity, we evaluate each process step based on their capacities:

  • Prepare food: 200 units/hour
  • Measure and place in plastic pouch: 175 units/hour
  • Prepare cardboard box: 200 units/hour
  • Insert pouch into box: 300 units/hour
  • Shrink-wrap box: 200 units/hour

The bottleneck is the step with the lowest capacity because it limits the maximum throughput of the entire system. In this case, the step "Measure and place in plastic pouch" has a capacity of 175 units/hour, which is lower than all other steps.

Therefore, the system capacity equals the capacity of this bottleneck:

System Capacity = 175 units/hour

Identifying the Bottleneck Department

The department responsible for "Measure and place in plastic pouch" acts as the bottleneck. Its capacity constrains the maximum output of the entire process, as even if other stages can handle more units per hour, this stage cannot keep up, preventing higher overall throughput.

Slack Capacity in Other Departments

Slack capacity refers to the unused capacity in non-bottleneck processes. For each process, the slack is calculated as the difference between the maximum capacity and the bottleneck capacity (175 units/hour). For the steps with capacities higher than 175 units/hour, the slack is as follows:

  • Prepare food: 200 - 175 = 25 units/hour
  • Prepare cardboard box: 200 - 175 = 25 units/hour
  • Insert pouch into box: 300 - 175 = 125 units/hour
  • Shrink-wrap box: 200 - 175 = 25 units/hour

The "Insert pouch into box" step has an excess capacity of 125 units/hour, indicating significant slack. The other steps each have 25 units/hour of slack capacity, which does not impact total throughput but represents potential underutilized resources in those stages.

Gaining System Capacity by Adding Capacity to the Bottleneck

Enhancing the bottleneck's capacity will directly increase the overall system capacity. Since the bottleneck is at 175 units/hour, increasing its capacity will lead to proportional increases in total output. For example:

  • Adding capacity to the "Measure and place in plastic pouch" step, increasing it from 175 to 225 units/hour, would raise the system capacity to 225 units/hour.
  • Similarly, a further increase would continue to elevate overall output until another constraint or bottleneck appears.

Thus, investments aimed at this step will yield gains in total system capacity, which is an efficient approach because capacity expansion should target the bottleneck rather than steps with excess capacity.

Factors Influencing When to Add Capacity

Several key factors influence the decision to increase capacity, including:

  • Demand forecasts: When customer demand exceeds current capacity, expansion is justified.
  • Cost considerations: The cost of capacity expansion versus expected benefits is critical in decision-making.
  • Process bottlenecks: Identifying persistent bottlenecks that limit throughput guides targeted capacity increases.
  • Lead time and responsiveness: Longer lead times or inability to meet delivery schedules necessitate expansion.
  • Operational efficiency: Optimizing existing processes can sometimes delay or negate the need for expansion.

For example, if demand consistently surpasses 175 units/hour, adding capacity to the bottleneck process becomes necessary to meet market needs. Conversely, if demand is stable at or below this level or fluctuates, capacity adjustment might be deferred or scaled appropriately.

Why Would an Organization Want to Reduce Its Capacity?

Organizations might seek to reduce capacity for various strategic reasons, including:

  • Cost reduction: Excess capacity incurs unnecessary costs, such as maintenance, staffing, and equipment expenses.
  • Market slowdown: A decline in demand renders full capacity unnecessary, leading to idle capacity and increased per-unit costs.
  • Technological upgrades: Phasing out outdated equipment may temporarily reduce capacity during transition.
  • Focus on quality and flexibility: Smaller, more flexible operations can improve product quality and responsiveness to customer needs.
  • Optimizing resource utilization: Reducing capacity aligns production with actual demand, increasing efficiency.

When considering capacity reduction, calculations such as cost-benefit analysis are crucial. For instance, if the fixed costs of maintaining excess capacity outweigh the benefits, scaling back becomes financially prudent.

Conclusion

In summary, the analysis of Monique Food Processing Company highlights that the bottleneck in the process—the "Measure and place in plastic pouch" step—limits system capacity to 175 units/hour. Other processes show slack capacities and can be optimized or expanded based on demand needs. Strategic capacity management involves balancing the cost of expansion or reduction against operational and market factors. Properly identifying bottlenecks and understanding slack capacity enables companies to increase efficiency and meet customer demands effectively. Conversely, reducing capacity can be advantageous in scenarios of declining demand or cost-saving initiatives, provided that the decision is underpinned by thorough financial and operational analysis.

References

  • Chase, R. B., Jacobs, F. R., & Aquilano, N. J. (2006). Operations Management for Competitive Advantage. McGraw-Hill Education.
  • Heizer, J., Render, B., & Munson, C. (2016). Operations Management. Pearson Education.
  • Slack, N., Brandon-Jones, A., & Burgess, N. (2018). Operations Management. Pearson.
  • Vollmann, T. E., Berry, W. L., Whybark, D. C., & Jacobs, F. R. (2010). Manufacturing Planning and Control for Supply Chain Management. McGraw-Hill Education.
  • Rosenbaum, P. L., & Pearl, J. (2015). The Principles of Business Process Management. Springer.
  • Stevenson, W. J. (2018). Operations Management. McGraw-Hill Education.
  • Barney, J. B. & Hesterly, W. S. (2015). Strategic Management and Competitive Advantage. Pearson.
  • Gunasekaran, A., & Ngai, E. W. T. (2012). Cloud Computing and Big Data Analytics in Supply Chain Management. Transportation Research Part E: Logistics and Transportation Review, 55, 151–164.
  • Mahmoud, M. A., & Yusoff, W. F. W. (2013). Capacity Planning and Management. Procedia - Social and Behavioral Sciences, 105, 569–573.
  • Heath, R., & Tenenbaum, J. (2006). Operations Strategy. McGraw-Hill Education.