Business Models

These models and simulations have been tagged “Business”.

Related tagsTechnology

 Bottom-Up Sales Forecasting for Startups     The purpose of this simulation is to demonstrate the implications of forecasting sales without consideration for how much it cost you to acquire a lead and how much you have available to spend. A common mistake in sales forecasting is to define your # of
Bottom-Up Sales Forecasting for Startups

The purpose of this simulation is to demonstrate the implications of forecasting sales without consideration for how much it cost you to acquire a lead and how much you have available to spend. A common mistake in sales forecasting is to define your # of expected sales leads based on your total market size and your assumption regarding the % of that market you can reach. 

This model demonstrates the forecasting impact to defining the # of expect leads based on how much it cost you to acquire a lead and how much you have available to spend. 

Important Variables:
1. [UseLAC?] (set to 1 to use the lead acquisition cost to define your reachable market; use 0 to set the reachable market to equal the total available market size)
2. LAC (should equal what it cost you to acquire a lead)
3. SalesMarketingBudget : how much you have available to spend on customer acquisition

Other Variables:
4. Price : Avg spending amount per new customer
5. Total Available Market : Total available market size
6. Conversion Rate : the % of your target market that will become a lead


Two loop structure which reflects the reinforcing effects of profits/investment, as well as profits/employee retention.
Two loop structure which reflects the reinforcing effects of profits/investment, as well as profits/employee retention.
The meaningful relationship between a business and its customers should be a reinforcing structure.
The meaningful relationship between a business and its customers should be a reinforcing structure.
 
 This insights explores the organizational factors influencing strategy implementation and the interrelationship among some of the factors.
  • This insights explores the organizational factors influencing strategy implementation and the interrelationship among some of the factors.
The Simple Retail Sector model from Section 1.7 of  DYNAMO User's Manual  by Alexander L Pugh III, which is adapted from one from  Industrial Dynamics  by Jay Forrester.     http://www.amazon.com/DYNAMO-Manual-Edition-System-Dynamics/dp/0262660296  (I bought the 5th edition without realising there w
The Simple Retail Sector model from Section 1.7 of DYNAMO User's Manual by Alexander L Pugh III, which is adapted from one from Industrial Dynamics by Jay Forrester.

http://www.amazon.com/DYNAMO-Manual-Edition-System-Dynamics/dp/0262660296 (I bought the 5th edition without realising there was a later one, hopefully it's still the same model in there.)

A tweaked version with slightly more explicit stocks is here: http://insightmaker.com/insight/14467
 Rich picture version of Causal loop diagram based on Jack  Homer's paper Worker burnout: a dynamic model with implications  for prevention and control System Dynamics Review 1985 1(1)42-62 See  IM-333  for the Simulation model and  IM-2178  for a related Causal Loop Diagram of Project Turnover 
  

Rich picture version of Causal loop diagram based on Jack  Homer's paper Worker burnout: a dynamic model with implications  for prevention and control System Dynamics Review 1985 1(1)42-62 See IM-333 for the Simulation model and IM-2178 for a related Causal Loop Diagram of Project Turnover

 

  ​Purpose  Enables the different components in the 5 capability model in a visual manner for Enterprise and Business Architecture stakeholders.     5 Capability Model  The 5 capability model has many stock and flow children which each organization will need to model based on their current state.  

​Purpose
Enables the different components in the 5 capability model in a visual manner for Enterprise and Business Architecture stakeholders.  

5 Capability Model
The 5 capability model has many stock and flow children which each organization will need to model based on their current state.  

Semantic

Getting terms to align to the generic objects can be a trying task, unless you simply list the stakeholders "semantic" term below the stakeholder in the presentation layer by order shown in the business process management section above the capability management group.  



​The Problem:  What is the true cost of escalating too many Tier 1/Level 1 tickets to Level 2/3 engineers?    Things to measure: How does this impact:1. (MONEY) Cost per incident - what does this cost the business? 2. (TIME) Service Level - how does this impact desired service levels/SLAs? 3. (PEOPL
​The Problem: 
What is the true cost of escalating too many Tier 1/Level 1 tickets to Level 2/3 engineers?

Things to measure: How does this impact:1. (MONEY) Cost per incident - what does this cost the business? 2. (TIME) Service Level - how does this impact desired service levels/SLAs? 3. (PEOPLE) Agent utilization - how does this impact backlog? are we overworking engineers? Does this contribute to staff burnout?

DRAFT  a small model of a "generic" company.
DRAFT

a small model of a "generic" company.
This simulation mimics the flow of projects through an organization. The organization consists of teams that idependently or collaboratively work on projects. Many of the projects have a mulit-team dependency.    If you want to understand more in depth what this simulation is all about, read this bl
This simulation mimics the flow of projects through an organization. The organization consists of teams that idependently or collaboratively work on projects. Many of the projects have a mulit-team dependency.

If you want to understand more in depth what this simulation is all about, read this blog post: https://stefan-willuda.medium.com/super-powerful-how-full-kitting-will-speed-up-your-cross-team-projects-1598d55fa9d7
 Harvested fishery with endogenous investment. Ch 9 p340-345 John Morecroft (2007) Strategic Modelling and Business Dynamics

Harvested fishery with endogenous investment. Ch 9 p340-345 John Morecroft (2007) Strategic Modelling and Business Dynamics

 Rich picture version of Causal loop diagram based on Jack  Homer's paper Worker burnout: a dynamic model with implications  for prevention and control System Dynamics Review 1985 1(1)42-62 See  IM-333  for the Simulation model and  IM-2178  for a related Causal Loop Diagram of Project Turnover 
  

Rich picture version of Causal loop diagram based on Jack  Homer's paper Worker burnout: a dynamic model with implications  for prevention and control System Dynamics Review 1985 1(1)42-62 See IM-333 for the Simulation model and IM-2178 for a related Causal Loop Diagram of Project Turnover

 

 Dynamic system underlying project life cycles From Roberts Edward B The Dynamics of Research and Development p5 Harper & Row NY 1964

Dynamic system underlying project life cycles From Roberts Edward B The Dynamics of Research and Development p5 Harper & Row NY 1964

 Multi-echelon inventory optimization (sounds like a complicated phrase!) looks at the way we are placing the inventory buffers in the supply chain. The traditional practice has been to compute the safety stock looking at the lead times and the standard deviation of the demand at each node of the su
Multi-echelon inventory optimization (sounds like a complicated phrase!) looks at the way we are placing the inventory buffers in the supply chain. The traditional practice has been to compute the safety stock looking at the lead times and the standard deviation of the demand at each node of the supply chain. The so called classical formula computes safety stock at each node as Safety Stock = Z value of the service level* standard deviation * square root (Lead time). Does it sound complicated? It is not. It is only saying, if you know how much of the variability is there from your average, keep some 'x' times of that variability so that you are well covered. It is just the maths in arriving at it that looks a bit daunting. 

While we all computed safety stock with the above formula and maintained it at each node of the supply chain, the recent theory says, you can do better than that when you see the whole chain holistically. 

Let us say your network is plant->stocking point-> Distributor-> Retailer. You can do the above safety stock computation for 95% service level at each of the nodes (classical way of doing it) or compute it holistically. This simulation is to demonstrate how multi-echelon provides better service level & lower inventory.  The network has only one stocking point/one distributor/one retailer and the same demand & variability propagates up the supply chain. For a mean demand of 100 and standard deviation of 30 and a lead time of 1, the stock at each node works out to be 149 units (cycle stock + safety stock) for a 95% service level. You can start with 149 units at each level as per the classical formula and see the product shortage. Then, reduce the safety stock at the stocking point and the distributor levels to see the impact on the service level. If it does not get impacted, it means, you can actually manage with lesser inventory than your classical calculations. 

That's what your multi-echelon inventory optimization calculations do. They reduce the inventory (compared to classical computations) without impacting your service levels. 


The need to spend time doing chargeable work, in balance and/or conflict with the need to spend time doing marketing to ensure a continuing workload into the future.
The need to spend time doing chargeable work, in balance and/or conflict with the need to spend time doing marketing to ensure a continuing workload into the future.