A New Optimization Approach to Distributed Manufacturing System Design

Details

• Creators:
  Li, Haitao ; Penagos, Paula
• Corporate Creators:
  University of Nebraska. Mid-America Transportation Center ; University of Missouri--St. Louis.
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  • Decision making
  • Demand
  • Facilities
  • Game theory
  • Manufacturing
  • Supply chain management
  • System design
• Publication/ Report Number:
  25-1121-3002-104
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  June 2023 to Dec 2024
• Corporate Publisher:
  University of Nebraska-Lincoln. Mid-America Transportation Center
• Abstract:
  This project studies the supply-production-networks (SPNs) in a distributed manufacturing system (DMS) and develops a novel modeling framework and solution procedure for optimizing the production planning and resource allocation decisions in DMS, called centralized-autonomous coordination scheme (CACS). The CACS is able to coordinate the decisions of distributed facilities by optimizing the system-level metrics and respecting the autonomous decisions of individual facilities. Our approach is applied for a case study of a generic drug manufacturer implementing the new continuous manufacturing (CM) technology for active pharmaceutical ingredient (API) production. The results show significant advantages of CACS over the existing approach without centralized coordination.
• Format:
  PDF
• Funding:
  69A3552348307
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/85163/dot_85163_DS1.pdf
• File Type:
  [PDF - 4.47 MB]
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:e2d3483782e7524635f2097e4cfec80f1bca55950f89e2378fa6271f4a0946ce9d8f7c4e1058529cde6c7750560126c61b71b80b8690a0a3ea211243f8aea85b