A mixed-integer programming strategy for liquid helium global supply chain planning

Transportation Research Part E: Logistics and Transportation Review

Volumn 110, Issue , 2018, Pages 168-188

  Malinowski, Ethan ^a   Karwan, Mark H ^a   Pinto, José M ^b   Sun, Lei ^b  

^a the State University of New York   (United States)

^b PRAXAIR INC   (United States)

Author keywords

Industrial gas supply chain; Mixed integer programming; Rolling horizon; Supply chain analytics

Indexed keywords

GAS INDUSTRY; INTEGER PROGRAMMING; SENSITIVITY ANALYSIS; SUPERFLUID HELIUM;

COMPLEXES STRUCTURE; GAS SUPPLY CHAIN; GLOBAL SUPPLY CHAIN; INDUSTRIAL GAS; INDUSTRIAL GAS SUPPLY CHAIN; LIQUID HELIUM; MIXED-INTEGER PROGRAMMING; ROLLING HORIZON; SUPPLY CHAIN ANALYTIC; SUPPLY CHAIN PLANNING;

SUPPLY CHAINS;

GLOBALIZATION; HELIUM; NATURAL GAS; NETWORK ANALYSIS; OPTIMIZATION; PLANNING METHOD; SENSITIVITY ANALYSIS; SUPPLY CHAIN MANAGEMENT;

EID: 85044780928     PISSN: 13665545     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tre.2017.12.014     Document Type: Article

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