Introduction
A few years ago, many restaurant owners believed that rising food prices were only temporary. Then came the pandemic, global shipping delays, labor shortages, and inflation. Suddenly, the cost of running a restaurant became far more unpredictable than anyone expected.
Imagine operating a busy restaurant where meat prices rise every month, delivery expenses keep increasing, and utility bills quietly consume profits in the background. On paper, the business may still appear profitable. But underneath the surface, hidden costs slowly erode financial stability.
This is exactly the challenge explored in a recent research study focused on supply chain cost management in the food production and service industry. Using the case of Sangyeopsal Express restaurant in Ulaanbaatar, Mongolia, the researchers investigated how restaurants can better understand their real costs and make smarter operational decisions.
Rather than relying on traditional accounting methods, the study combined three analytical approaches: Activity-Based Costing (ABC), the Analytic Hierarchy Process (AHP), and the Sphere Packing Approach (SPA). Together, these tools created a clearer picture of where money was truly being spent and how those costs could be optimized.
The result was not just an accounting exercise. It became a practical roadmap for helping restaurants survive in an era of supply chain instability and food inflation.
Understanding the Problem Behind Restaurant Costs
Restaurants are part of a much larger supply chain ecosystem. Food ingredients move from farms to suppliers, then to warehouses, kitchens, delivery services, and finally to customers. Every stage adds costs.
The researchers explain that many businesses still use traditional costing systems, which mainly focus on direct expenses like ingredient purchases or employee salaries. However, this approach often ignores hidden operational costs such as:
- Inventory handling
- Storage losses
- Delivery inefficiencies
- Marketing expenses
- Energy consumption
- Administrative support
The study compares this issue to an iceberg. Only a small portion of the real cost is visible above the surface, while most expenses remain hidden underneath.
This becomes especially dangerous during periods of inflation. Restaurants may think they are controlling costs simply by negotiating lower ingredient prices, while unnoticed inefficiencies elsewhere continue draining profits.
The researchers argue that modern supply chain management requires a broader and more integrated perspective. Instead of treating departments separately, businesses should examine the entire operational chain as one connected system.
Discussion of the Study
Why Sangyeopsal Express Was Chosen
To explore this issue in practice, the researchers selected Sangyeopsal Express, a restaurant operating in Mongolia’s capital city. The restaurant served as a real-world case study for analyzing supply chain expenses across procurement, storage, food preparation, logistics, and customer delivery.
The research team collected data from:
- Financial reports
- Procurement documents
- Inventory records
- Internal operational policies
- Interviews with managers and staff
This combination of numerical data and practical experience allowed the researchers to build a highly detailed understanding of the restaurant’s cost structure.
The Three Main Methods Used in the Research
1. Activity-Based Costing (ABC)
The first method, Activity-Based Costing, was designed to uncover the “hidden” costs ignored by traditional accounting systems.
Instead of simply asking, “How much did ingredients cost?” the ABC method asks deeper questions:
- How much labor was involved in handling ingredients?
- How much electricity was used during food preparation?
- How much warehouse space was required?
- Which activities consumed the most resources?
By assigning costs to actual business activities, the researchers could identify where money was truly being spent.
This revealed that supply chain costs extended far beyond raw material purchases.
2. Analytic Hierarchy Process (AHP)
Next, the researchers used the Analytic Hierarchy Process, or AHP, to determine which costs mattered most.
Five industry experts participated in the evaluation process. Through structured comparisons and group discussions, they ranked the importance of different expense categories.
The analysis showed strong statistical reliability, meaning the experts largely agreed on which cost factors were most critical.
This method helped prioritize managerial attention instead of treating every expense equally.
3. Sphere Packing Approach (SPA)
The most unusual part of the study was the use of the Sphere Packing Approach.
Originally associated with mathematical optimization problems, SPA was adapted here to identify the safest and most efficient cost ranges for restaurant operations.
In simple terms, the model tried to answer this question:
“What is the most stable way to distribute operational costs without exceeding the restaurant’s financial limits?”
The system calculated optimal spending ranges for:
- Food ingredients
- Beverage ingredients
- Production staff salaries
- Support staff salaries
- Utility and operational expenses
Rather than focusing on extreme cost-cutting, the model aimed for balance and sustainability.
Key Findings of the Research
Raw Materials, Labor, and Utilities Were the Biggest Cost Drivers
One of the clearest findings was that three areas consumed most of the restaurant’s supply chain budget:
- Raw material procurement
- Labor costs
- Utility expenses
This may sound obvious at first, but the ABC system revealed how significantly these costs affected profitability once indirect expenses were included.
The researchers discovered that labor costs in food production were especially high compared to industry benchmarks.
Traditional Costing Was Incomplete
The study strongly criticized traditional accounting methods for oversimplifying restaurant operations.
By relying only on direct costs, businesses risk missing critical inefficiencies hidden within logistics, inventory management, and support operations.
ABC provided a much more transparent cost structure.
For managers, this visibility is crucial because poor cost awareness often leads to weak decision-making.
The Restaurant Was Spending Beyond the Optimal Range
Using the SPA optimization model, the researchers estimated that Sangyeopsal Express should ideally operate within a total annual cost range of approximately 1.19 to 1.21 billion Mongolian tugriks.
However, actual expenses exceeded the maximum recommended threshold.
The primary reason was excessive labor spending during food production.
This finding gave management a measurable target for improving efficiency without harming service quality.
Better Supply Chain Management Improves Business Resilience
The study also reinforced a broader lesson learned globally after COVID-19: restaurants with stronger supply chain systems tend to perform better during crises.
Efficient inventory management, supplier coordination, and cost monitoring help businesses absorb economic shocks more effectively.
In periods of inflation, these advantages become even more important.
Real-World Importance of the Study
What makes this research particularly valuable is its practicality.
Many academic studies discuss supply chain theories without demonstrating how they work in real businesses. This paper took a different approach by testing advanced cost management tools inside an operating restaurant.
The implications extend beyond Mongolia.
Restaurants worldwide face similar pressures:
- Food inflation
- Rising labor expenses
- Delivery platform fees
- Supply shortages
- Energy price volatility
The study suggests that restaurants can improve profitability not only by increasing sales, but also by understanding their operational structure more intelligently.
For smaller businesses, this can mean the difference between survival and closure.
Limitations of the Research
Although the study provides useful insights, it also has limitations.
First, the research focused on a single restaurant. Different restaurant types, locations, or business scales may produce different cost structures.
Second, some of the optimization techniques, especially SPA, require mathematical expertise that smaller businesses may struggle to implement independently.
Third, external factors such as sudden inflation spikes, political instability, or changing consumer behavior could still disrupt even the most optimized supply chain.
The researchers acknowledge that while the methodology is adaptable, successful implementation depends heavily on management capability and data accuracy.
Conclusion
This study offers an important reminder that modern restaurant management is no longer just about serving good food. It is equally about understanding the invisible network of costs operating behind every meal.
By combining Activity-Based Costing, AHP analysis, and Sphere Packing optimization, the researchers created a clearer and more realistic picture of restaurant supply chain expenses.
Their findings showed that hidden operational costs — especially labor, materials, and utilities — can significantly impact profitability if left unmanaged.
More importantly, the research demonstrated that smarter cost management does not simply mean cutting expenses aggressively. Instead, it involves building a balanced, data-driven system that supports long-term sustainability.
As supply chains continue to face uncertainty around the world, studies like this provide valuable guidance for restaurant owners searching for stability in an increasingly unpredictable industry.
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