Short answer

Implement a structured, multi-criteria decision-making process, such as AHP, when evaluating potential locations for new business operations to ensure objective and data-backed choices.

Field: Commercial Production
Source: International Journal of Current Science Research and Review (2023)
Method: Multi-Criteria Decision Making (MCDM) using the Analytic Hierarchy Process (AHP).
Evidence: Strong effect

The Analytic Hierarchy Process (AHP) can effectively prioritize locations for new business ventures by systematically evaluating multiple criteria. This commercial production research insight is drawn from a 2023 study published in International Journal of Current Science Research and Review. Using Multi-criteria decision making (mcdm) using the analytic hierarchy process (ahp)., researchers explored how this design variable affects real-world outcomes. The key design takeaway: Implement a structured, multi-criteria decision-making process, such as AHP, when evaluating potential locations for new business operations to ensure objective and data-backed choices.

Study

Commercial ProductionRecentStrong effect

AHP Prioritizes Pekanbaru and Medan for New Culinary Outlet Launch

The Analytic Hierarchy Process (AHP) can effectively prioritize locations for new business ventures by systematically evaluating multiple criteria.

International Journal of Current Science Research and Review · 2023

Key Findings

01Pekanbaru was identified as the top priority city with a score of 0.3503.
02Medan was identified as the second priority city with a score of 0.2332.

Application

Design takeaway

Implement a structured, multi-criteria decision-making process, such as AHP, when evaluating potential locations for new business operations to ensure objective and data-backed choices.

How to apply

When considering expansion or new market entry, define key decision criteria (e.g., market size, competition, operational costs, logistics, demographic fit), assign weights to these criteria, and then score each potential location against them using a pairwise comparison method.

Project actions

01Clearly define the scope of your location selection problem.
02Use AHP to break down complex decisions into manageable pairwise comparisons.

Method & Evidence

AimTo determine the two priority cities for launching a new cloud kitchen outlet based on a multi-criteria decision-making process.

MethodMulti-Criteria Decision Making (MCDM) using the Analytic Hierarchy Process (AHP).

ProcedureThe AHP method was employed to evaluate five potential cities (Medan, Pekanbaru, Jakarta, Bandung, and Yogyakarta) for a new cloud kitchen outlet. Criteria for evaluation were established through literature reviews and Focus Group Discussions (FGD). Pairwise comparisons were conducted to determine the relative importance of criteria and alternatives, leading to a prioritized list of cities.

ContextCulinary business expansion, specifically for a cloud kitchen model in Indonesia.

Variables

IVPotential cities for outlet launch (Medan, Pekanbaru, Jakarta, Bandung, Yogyakarta).

DVPriority ranking of cities for outlet launch.

CVCriteria used for evaluation (derived from literature and FGD).

Strengths & Limitations

Strengths

+Provides a structured and quantitative approach to complex decision-making.
+Incorporates multiple criteria and stakeholder input (via FGD).

Limitations

The subjectivity in pairwise comparisons can influence the outcome; consider sensitivity analysis to test the robustness of the results.

Reliability & validity

Reliability could be improved by having multiple individuals perform the pairwise comparisons. Validity is dependent on the relevance and completeness of the chosen criteria.

Think critically

How might the weighting of criteria in an AHP analysis be influenced by the personal biases of the decision-maker, and what steps can be taken to mitigate this?

Design Principles

"Systematic location analysis using weighted criteria leads to more informed strategic decisions."

Selecting the optimal location for a new outlet is a critical decision that significantly impacts a business's success. A structured decision-making framework like AHP provides a robust method to move beyond intuition and data-driven analysis, ensuring that all relevant factors are considered in a quantifiable manner.

What This Means for Your Design

This study shows how to pick the best places to open a new shop by looking at many different factors and ranking them, like choosing between Pekanbaru and Medan for a food business.

How to use in your project

1.Use AHP to justify the selection of a specific context or user group for your design project.
2.Document the criteria, pairwise comparisons, and final scores to demonstrate a rigorous decision-making process.

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Quick Cite

Paragraph starter

The selection of [specific context/location] for this design project was informed by a multi-criteria decision-making process utilizing the Analytic Hierarchy Process (AHP). This method allowed for the systematic evaluation of key factors such as [criterion 1], [criterion 2], and [criterion 3], leading to the prioritization of [chosen option] over other alternatives.

Source

International Journal of Current Science Research and Review

Analytical Hierarchy Process (AHP) Analysis to Selecting Best City for Opening Outlet of Grillto Indonesia

journal · 2023

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Questions About This Research

What does the research say about ahp prioritizes pekanbaru and medan for new culinary outlet launch?: Implement a structured, multi-criteria decision-making process, such as AHP, when evaluating potential locations for new business operations to ensure objective and data-backed choices. Evidence: International Journal of Current Science Research and Review (2023).
Why does "AHP Prioritizes Pekanbaru and Medan for New Culinary Outlet Launch" matter for design?: Selecting the optimal location for a new outlet is a critical decision that significantly impacts a business's success. A structured decision-making framework like AHP provides a robust method to move beyond intuition and data-driven analysis, ensuring that all relevant factors are considered in a quantifiable manner.
How can designers apply this research?: Implement a structured, multi-criteria decision-making process, such as AHP, when evaluating potential locations for new business operations to ensure objective and data-backed choices.
What were the main findings?: Pekanbaru was identified as the top priority city with a score of 0.3503.. Medan was identified as the second priority city with a score of 0.2332.
What research method was used?: Multi-Criteria Decision Making (MCDM) using the Analytic Hierarchy Process (AHP)..
How strong is the evidence?: Evidence strength is rated Strong effect, based on a 2023 journal from International Journal of Current Science Research and Review.
What should I do differently in my next project?: When considering expansion or new market entry, define key decision criteria (e.g., market size, competition, operational costs, logistics, demographic fit), assign weights to these criteria, and then score each potential location against them using a pairwise comparison method.
What are the limitations?: The specific criteria and their weighting in this study are tailored to the cloud kitchen business model and Indonesian market; adaptation is necessary for different contexts.