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Gloucester Community Development Corporation

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Fishing fleet # Fishermen # boats ... Revenues from fishing: Revenues can go up and remain high at sufficient re ... Quote:'Opportunities for inshore fishing? ... – PowerPoint PPT presentation

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Title: Gloucester Community Development Corporation


1
Gloucester Community Development Corporation
2
Challenges
  • You cannot build a model without a good
    understanding of the system you are going to
    simulate
  • Jim Hines 2002

3
Purpose of Todays Presentation
  • Share some insights in using SD for client
    projects
  • Ask you for a peer-group review, i.e. which part
    of the following presentation could lead into a
    publishable paper?

4
The Team
  • Our Client
  • Dr. Carmine Gorga, Executive Director GCDC
  • Dr. Steve Kelleher, Marine Institute
    Massachusetts
  • Dr. Damon Cummings, a former Professor of
    hydrodynamics
  • and control theory at MIT
  • Joe Sinagra, Fishermen
  • MIT
  • Jeroen Struben, PhD Student MIT
  • SangHyun Lee, M.S Student Intelligent Engineering
    MIT
  • Peter Otto, PhD Student UAlbany

5
Agenda
  • Introduction to the Project
  • A Step-by-step approach towards a model
  • Decomposition of the system
  • Reflection of current situation and Problem
    Definition
  • Key Variables
  • Scope and understanding
  • Dynamic Hypotheses
  • Overview on the different Sectors
  • Model initiation building one Dynamic hypothesis
  • Model Components
  • Base model Behavior

6
Gloucesters Business Goal
  • To establish a commercialized fisheries operation
    Gloucester Fish, Inc. that utilizes a novel
    process that extracts fairly pure protein from
    underutilized fish species to potentially
    increase their value in an effort to revitalize
    the present fishing industry in Gloucester.

7
Surimi?
A substitute for crab meat.
8
Surimi Market
  • Total market 760,000 metric tons, growing at 10
    20 per year
  • Japan represents 60 of the market
  • Desired output for Gloucesters surimi factory is
    10,000 metric tons

9
Phase 1 Learning
  • Fishing fleet
  • Fishermen
  • boats needed for Surimi
  • Total boats
  • Attractiveness of other fishing targets
  • Total fishing capacity
  • Willingness to join
  • Earnings per Fisherman
  • Area utilization
  • Effectiveness
  • Total catch
  • Cost per trip
  • Equipment extension cost
  • Resources
  • Water availability
  • Water costs per unit
  • Water pollution
  • Perceived fish stocks
  • Demand
  • Potential market-size
  • Product attractiveness
  • Unit price
  • Product characteristics
  • Marketability
  • Product quality (grade)
  • Product diversity
  • Unit costs
  • Competition
  • Barriers to entry
  • Number of competing ports
  • Total competing capacity
  • Accessibility of cross waters
  • Launch and operate
  • Desired capacity
  • Startup costs
  • Total Capacity
  • Extendibility
  • Marketing efforts
  • Total labor provision
  • FDA approval time
  • Total Sales
  • Diversification
  • Profitability
  • Finance and Community,..
  • Total value added
  • Directional
  • Private investor fraction
  • Risk of disintegration
  • Employee involvement
  • Reinvestment fraction
  • Government taxes

10
Phase 2 Reflection
  • Meeting with client to confirm problem statement
    and initial reference modes

11
Problem Statement Objective
  • The decline of traditional fish species and the
    curtailing of fishing efforts by the Government
    require the fishing industry of Gloucester to
    identify alternative resources to sustain their
    industry
  • A Surimi factory harvesting fast renewable
    fish stock should compensate for the missing
    revenues from traditional white fish until their
    stock returns to a sustainable level

12
Problem recognition a response to a downward
spiral
  • Dynamics of Total Potential for harvesting is
    defined by the combined availability of and
    capacity for dark and white fish

13
Problem Statement
  • Sustainability of Community depends on total
    revenues, stability, spread of revenues

Community QoL
  • H Enough renewable resources
  • (both white and dark)
  • Reinvestment in plant
  • Rising stability reinforces happiness
  • F1 Too much success
  • Increasing revenues,
  • Increasing competition,
  • Stock depletion,
  • Unequal/unfair profits
  • F2 Lack of throughput
  • No Market
  • Delays in takeoff
  • Competition from other communities or
  • Fish stock takes longer to renew

1992 2002 2012
t
14
Key Variables
Key Variables
15
Phase 3 Agreement
  • Presentation of dynamic hypothesis
  • Definition for the scope of the project

16
Dynamic Hypothesis
  • Potential Factory output The potential factory
    output should be determined by the availability
    of fish stock. Pushing the system based on the
    attractiveness will finally limit the factory
    output.

Potential factory output
t
17
Dynamic Hypothesis
  • Revenues per boat If operating profit of the
    factory is positive, it can reinvest in equipment
    and processing capabilities to increase
    attractiveness and effectiveness, which could
    cause too much pressure on the fish stocks.

Revenues per boat
t
18
Dynamic Hypothesis
  • Revenues from fishing Revenues can go up and
    remain high at sufficient re-investment in the
    plant, in order to maintain diversity in input
    and output. External partners might lead to high
    volume low quality through put

19
Dynamic Hypothesis
  • Sustainability of Community Too much success of
    the plant, can bring some revenues, while many
    have to fish for the low-stock white fish

B2
B1
B1
R1
R2
20
Phase 4 Conceptualizing the model
  • First draft was presented to the client to
  • Confirm the causal loop diagram
  • Focus on sensitive variables and parameters
  • Re-define scope of the model

21
The Dynamic Hypotheses around the key variables
have been merged into three sectors
  • Resource Sector
  • Community Sector
  • Operations Sector
  • Variables and links in Dynamic hypotheses
    themselves, generally cover more sectors!!

22
Resource Sector
23
Community Sector
24
Operations Sector
25
We have used the Potential Factory Output
hypothesis as a starting point for the model
  • The model of the hypothesis is built up of three
    main loops
  • Factory Capacity and Output
  • Fleet Capacity
  • Resource Dynamics

Other hypotheses will be constructed on top of
this
26
Dynamic Hypothesis
  • Potential Factory output The potential factory
    output should be determined by the availability
    of fish stock. Pushing the system based on the
    attractiveness will finally limit the factory
    output.

Potential factory output
t
27
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30
Basic model Behavior
  • Basic Demand
  • Step demand increase towards 15000 Surimi in the
    10th month
  • Resource Depletion
  • Same case, with a lower fertility of pelagis

31
Basic Demand Factory Capacity
32
Basic Demand Pelagic Throughput
33
Basic Demand Resource Dynamics
34
Lower Resource Fertility Resource Depletion
Dynamics can be very sensitive to resource
parameters
35
Learnings along the way
  • Insights
  • A clear problem statement can act itself as true
    insight
  • QuoteOpportunities for inshore fishing?!
  • Quote Looking ahead to understand potential
    pitfalls has never been done before
  • Quote Visualizing the connections between the
    variables helped us to better understand the
    dynamics in the system
  • Comments / Issues
  • A clear, true problem statement is crucial. This
    implies effective kick-off meeting(s) and being
    in the driver-seat
  • Early involvement of true-stakeholders /
    knowledge experts is crucial for a good (mental)
    model
  • Using reference modes and causal loop diagrams
    makes it much easier for the client to understand
    the problems and dynamics

36
Your Task
  • Which part of this project would be of interest
    for a broader SD community, i.e. do you think we
    could hit a placement in the SD Review?
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