scholarly journals SUPPLY CHAIN MODELED AS A METABOLIC PATHWAY

2018 ◽  
Vol 23 (3) ◽  
pp. 473-491
Author(s):  
Almaz Mustafin ◽  
Aliya Kantarbayeva

A new model of economic production process is proposed (in the form of a set of ODEs) based on an idea that nonconsumable factors of production facilitate the conversion of inputs to output in much the same catalytic way as do enzymes in living cells when transforming substrates into different chemical compounds. The output of a converging, multi-resource, single-product supply chain network is shown to depend on the minimum of its inputs in the form of the Leontief--Liebig production function, providing the validity of the clearing function approximation. In turn use of the clearing function is legitimate when the machine processing time is much shorter than the machine loading time.

2019 ◽  
Vol 7 (2) ◽  
pp. 102-115
Author(s):  
Zaher Hamad Alsalem ◽  
Ramkumar Harikrishnakumar ◽  
Vatsal Maru ◽  
Krishna Krishnan

The study of the effect of redistribution strategy and aggregation, on a multi-echelon supply chain network by managing demand volatility is discussed in this research. For this an operational supply chain design is considered. Multi-echelon network consisting of manufacturing plants, distribution centers, warehouses, and retailers is used to develop the case study. Aggregation strategy was analyzed in the context of single product and multi-product for a multi-period production problem under demand uncertainty. Product sourcing between echelons and distribution strategies are considered for the study. Objective was to use the redistribution strategy to optimize the objective functions for the network. The objective functions include minimization of total cost, minimization of overage and stock-out conditions, and maximization of the customer service level. The total cost function includes product flow, transportation cost and distance cost. The mathematical formulation is carried out in Mixed Integer Linear Programming (MILP) with the help of Generic Algebraic Modeling System (GAMS). Problem formulation considers three type of demand based on volatility and uncertainty cases as high, medium, and low. The research is divided into three main phases to discuss an optimal multi-echelon supply chain network for single product using aggregation strategy.


2013 ◽  
Vol 712-715 ◽  
pp. 3031-3037
Author(s):  
Jing Long Jiang ◽  
Yan Zhou ◽  
Jing Jing Wang ◽  
Rui Jing Han

In this paper, a new model of oligopolistic competition for green supply chains is developed in the case of single product with the inclusion of environmental concerns. Each firm aims to not only maximize its profit but also minimize its emissions throughout its supply chain. Genetic algorithm is utilized for solving the Nash-Cournot equilibrium without any assumption of continuity and differentiability. With the numerical examples, we not only illustrate the generality of the modeling framework but also how the model can be used in practice to comprehend the effects of changes in the weights.


2015 ◽  
Vol 9 (4) ◽  
pp. 18-25
Author(s):  
Saurabh Bhardwaj ◽  
◽  
C.S. Jawalkar ◽  

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