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Operation of the Collaborative Composite Manufacturing CCM System
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ADAM: A web platform for graph-based modeling and optimization of supply chains.

Yicheng Hu1, Weiqi Zhang1, Philip Tominac1

  • 1Department of Chemical and Biological Engineering, University of Wisconsin-Madison, 1415 Engineering Dr, Madison, WI 53706, USA.

Computers & Chemical Engineering
|October 31, 2022
PubMed
Summary

ADAM is a web platform simplifying supply chain (SC) modeling and optimization using intuitive graph abstractions. It empowers users with limited optimization expertise to analyze complex SC behaviors and data.

Keywords:
Graph theoryOptimizationSupply chainWeb tools

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Area of Science:

  • Operations Research
  • Supply Chain Management
  • Computational Science

Background:

  • Supply chain (SC) modeling and optimization are critical for analysis and design.
  • Existing tools often require advanced mathematical optimization expertise, limiting user adoption.
  • Understanding SC behavior, value, and external impacts necessitates robust modeling frameworks.

Purpose of the Study:

  • To present ADAM, a web platform designed for accessible supply chain (SC) modeling and optimization.
  • To overcome the expertise barrier in adopting advanced SC decision-making tools.
  • To provide a user-friendly interface for complex SC analysis.

Main Methods:

  • Development of a web platform named ADAM.
  • Implementation of intuitive and compact graph-based abstractions for SC modeling.
  • Integration of experimental, technological, and socio-economic data within model objects.
  • Focus on software design principles for model organization and exchange.

Main Results:

  • ADAM facilitates SC modeling through user-friendly graph abstractions.
  • The platform enables expression of dependencies between locations, products, and participants.
  • ADAM serves as a repository for diverse SC data.
  • Graph abstractions support model organization, exchange, and educational outreach.

Conclusions:

  • ADAM democratizes SC modeling and optimization by lowering the technical expertise required.
  • The platform enhances the understanding and analysis of supply chain dynamics.
  • ADAM offers a flexible framework for SC data management, collaboration, and education.