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Simple & Pragmatic Problem Solving
#35Chapter 5: Individual Creative Option Generation• Individual Creative OptionsLogical ThinkingIndividual and group Mode15-45 min(Fast)

Computer Programs

From the book "Advanced Problem-Solving Toolbox: 115 Creative Plays" | Compiled & Edited by: Mojtaba Goudarzi, Open translation: Mehrshid Goudarzi
Executive Synopsis & Core Logic:

Use artificial intelligence, simulation algorithms, and analytical software to quickly generate diverse options and calculate scenarios.

Operational Parameters & Specifications

Category
Individual Creative Options
Dominant Thinking
Logical
Participation
Individual and group
Estimated TimeFast
15-45 min
Fast
Input Format
Data, prompts, and problem variables
Output Format
Idea generation
Key Application
financial simulation, optimization of logistics routes, creation of architectural design options and processing of innovation prompts.
Core Differentiator:

Combining the computing speed and unlimited database of computers with human intuition to break mental deadlocks.

Quick Field Example:

Using artificial intelligence and simulation models to calculate the most optimal route for the distribution of goods throughout the country.

Operational Benefits & Implementation Risks

Advantages & Value Creation:

Extremely high processing speed, elimination of calculation errors, the possibility of checking millions of scenarios in a few seconds.

Risks & Potential Trade-offs:

Total dependence on input data quality (garbage on input, garbage on output).

Real-World Organizational & Industry Scenarios

Logistics and Supply Chain: Algorithms for Finding the Shortest Route and Least Fuel Consumption.
Architecture and Engineering Design: Generative Design for stylization of parts with maximum resistance.
Marketing and Content: Brainstorming Ideas Using Artificial Intelligence Language Models (LLMs).

Strategic Rationale & Why to Apply

1Expanding the horizon of options: examining hundreds of alternative scenarios that would take months to calculate.
2Elimination of human biases: the algorithm evaluates scenarios without prejudice based solely on optimization logic.
3Speed ​​Decision Making in Crisis: Achieving Modeled Predictions in Fractions of Seconds.
4Extensive personalization: the ability to generate specific offers for each market segment.

Conceptual Framework & Book Method Description

"Computer Programs" technique includes the synergistic use of specialized software, simulators and artificial intelligence.

The human defines the problem statement and the adverbs, and the machine, by exploring the infinite possible spaces, produces amazing options that are beyond the biological processing power of the mind. The combination of human wisdom and the power of algorithms is the most powerful problem-solving lever in the modern era.

Step-by-Step Real-World Implementation Scenario

Scenario: Optimizing Capillary Distribution Routes of a Dairy Company with Computer Algorithms
1
Step 1: Defining constraints and input data for thesystem, recording variables: geographic location of 500 stores, fleet capacity, store opening hours, traffic plan range, and dairy perishability window.
2
Step 2: Run Routing Optimization Algorithm (VRP)Run algorithmic optimization software and generate dozens of dynamic distribution models based on live traffic patterns.
3
Step 3: Simulation of crisis scenarios on the computerTesting hypothetical scenarios: If a truck breaks down or a major highway is blocked, the algorithm immediately redistributes the load between nearby vehicles.
4
Step 4: Piloting the intelligent navigation system in the fleetEquipping the drivers' tablets with the intelligent route guidance system and ordering order delivery.
5
Step 5: Measuring the results and financial savings28% reduction in fuel consumption, zero waste caused by the heat of the load and increasing the satisfaction of stores with timely delivery.

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Circle of Opportunity
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Deadlines
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