GIS-enabled biomass-ethanol supply chain optimization: model development and Miscanthus application

2013 ◽  
Vol 7 (3) ◽  
pp. 314-333 ◽  
Author(s):  
Tao Lin ◽  
Luis F Rodríguez ◽  
Yogendra N Shastri ◽  
Alan C Hansen ◽  
KC Ting
Keyword(s):  
Supply Chain ◽  
Optimization Model ◽  
Model Development ◽  
Supply Chain Optimization

scholarly journals Optimizing Resource Utilization in Biomass Supply Chains by Creating Integrated Biomass Logistics Centers

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 6153
Author(s):  
Xuezhen Guo ◽  
Juliën Voogt ◽  
Bert Annevelink ◽  
Joost Snels ◽  
Argyris Kanellopoulos
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Resource Utilization ◽  
Optimization Model ◽  
Biobased Products ◽  
Knowledge Gap ◽  
Supply Chain Optimization ◽  
Biomass Logistics ◽  
Idle Capacity

Bio-based supply chains are by nature complex to optimize. The new logistic concept of integrated biomass logistical center (IBLC) provides us the opportunity to make full use of the idle capacity for a food/feed plant to produce biobased products so that the entire chain efficiency can be improved. Although research has been conducted to analyze the IBLC concept, is yet to be an optimization model that can optimally arrange the activities in the supply chain where an IBLC stands in the middle. To fill the knowledge gap in the literature, this paper makes the first step to develop a MILP model that enables biobased supply chain optimization with the IBLC concept, which supports logistic and processing decisions in the chain. The model is applied in a case study for a feed and fodder plant in Spain where managerial insights have been derived for transferring the plant to a profitable IBLC.

scholarly journals Research on Enterprise Supply Chain Optimization Model and Algorithm Based on Fuzzy Clustering

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Shizhen Bai ◽  
Hongbin Sun
Keyword(s):  
Supply Chain ◽  
Fuzzy Clustering ◽  
Network Structure ◽  
Optimization Model ◽  
Economies Of Scale ◽  
Clustering Algorithm ◽  
Distribution Network ◽  
Supply Chain Optimization ◽  
Logistics Distribution ◽  
Logistics Enterprises

Reasonable logistics distribution network structure can not only effectively reduce the cost of logistics enterprises themselves but also reduce the social cost. Through effective supply chain management, enterprises can significantly reduce costs, improve competitiveness, and enhance their ability to resist risks. Because the single-level distribution network structure of production enterprises is not suitable for large-scale logistics distribution, this paper proposes a distribution network structure design that accords with economies of scale and establishes an enterprise supply chain optimization model based on the fuzzy clustering algorithm. Using this optimization method to optimize the inventory of enterprise logistics supply chain, the operation is fast, the result is correct and reasonable, and it can provide good decision support for the distribution network of logistics enterprises. Through information technology and modern management technology, we should effectively control and coordinate the logistics, information flow, and capital flow in the production and operation process and organically integrate the internal supply chain with the external supply chain for management, so as to achieve the goal of global optimization.

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