Open AccessThe stoichiometry of supply chains
Author(s) -
Almaz Mustafin,
Aliya Kantarbayeva
Publication year - 2020
Publication title -
vestnik nacionalʹnoj inženernoj akademii respubliki kazahstan
Language(s) - English
Resource type - Journals
eISSN - 2709-4707
pISSN - 2709-4693
DOI - 10.47533/2020.1606-146x.30
Subject(s) - bottleneck , sigmoid function , supply chain , production (economics) , conjecture , node (physics) , reduction (mathematics) , product (mathematics) , stoichiometry , function (biology) , moment (physics) , chain (unit) , computer science , mathematical economics , mathematics , economics , chemistry , microeconomics , physics , combinatorics , operations management , business , biology , geometry , classical mechanics , marketing , quantum mechanics , machine learning , evolutionary biology , artificial neural network , astronomy
We propose a plausible conjecture about what goes on inside the black box of the Leontief-Liebig production function. The approach is based on an idea that the conversion of resources into a final product in an industrial supply chain occurs in much the same manner as does the conversion of substrates into different molecules in an enzyme-catalyzed biochemical reaction. A bottleneck principle is derived according to which at any moment the steady-state output of a supply chain is completely controlled by a single factor of production. The reduction of complexity is made possible owing to the sigmoid inputresponse of an individual node in the chain.