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Mill Development Model Development and Testing

Award Information
Agency: Department of Agriculture
Branch: N/A
Contract: 2018-33610-28271
Agency Tracking Number: 2018-00896
Amount: $100,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: 8.6
Solicitation Number: N/A
Solicitation Year: 2018
Award Year: 2018
Award Start Date (Proposal Award Date): 2018-07-01
Award End Date (Contract End Date): 2019-02-28
Small Business Information
37 OLD POUND RD, Antrim, NH, 03440-3302
DUNS: 161519504
HUBZone Owned: Y
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Eric Kingsley
 Vice President & Partner
 (207) 233-9910
Business Contact
 Eric Kingsley
Title: Vice President & Partner
Phone: (207) 233-9910
Research Institution
INRS and MDP will collaborate to build an analytical model that demonstrates the probability of success - and opportunities for enhancement - for the redevelopment of idled industrial assets. This model will be developed and refined using the former pulp and paper mill in Old Town, ME., and data supplied by multiple redevelopment efforts elsewhere in the State of Maine. Based upon learnings and experience garnered from this site, the base model will then be positioned for use elsewhere in Maine, the Northeast, and the entire United States as a tool to evaluate opportunities for mill and factory development. Once constructed and tested, the INRS/MDP team plan to make this model the core offering of a consulting service.The Mill Development ModelTo assess the success of developing an idle industrial asset for the utilization of forest resources, each of the following variables need to be assessed:Fiber Balance & EconomyEnergy Balance & EconomyCapital Equipment & Physical AssetsStaffing & OperationsCapital Costs & Financial BalanceCompany ConstructsThe concept of this model was created to break down the larger problem of mill development into more manageable challenges that could be defined, modeled, and then networked back into the larger mill redevelopment challenge to inform a decision. Each of these respective modules are a system of equations that are expressed in an auto-solving Excel spreadsheet which either solve an optimization problem, constraint problem, or are defined variables that are informed by a mill site's physical characteristics, local economy, and the needs of the owner/tenants.

* Information listed above is at the time of submission. *

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