scholarly journals Optimization of a Five-Echelon Supply Chain Network using Particle Swarm Intelligence Algorithms

2019 ◽  
Vol 8 (9) ◽  
pp. 2015-2022
Keyword(s):  
Supply Chain ◽  
Swarm Intelligence ◽  
Production Systems ◽  
Particle Swarm ◽  
Transportation Cost ◽  
Chain Model ◽  
Business Organizations ◽  
Particle Swarm Intelligence ◽  
Supply Chain Model ◽  
The Right

Technology has shrunk the global markets and information is accessible very quickly and effortlessly. Business organizations world over concentrate on their production systems to improve the quality of the end product, well distribute the product and optimize cost of resources. Transportation cost, inventory carrying cost and shortage costs constitute the major costs in cost of distribution. A competent supply chain always strives to manufacture the right quantity of end products and hold a minimum inventory across the entire supply chain. In thecurrent paper, a five echelon supply chain model is developed and it is optimized using particle swarm intelligence algorithm.

Semiotic Evaluation of Product Ontologies

2012 ◽  
pp. 1507-1522
Author(s):  
Joerg Leukel ◽  
Vijayan Sugumaran
Keyword(s):  
Supply Chain ◽  
Third Party ◽  
Ontology Engineering ◽  
Chain Model ◽  
Related Information ◽  
Ontology Evaluation ◽  
Supply Chain Model ◽  
Quality Dimensions ◽  
The Right

Product-related information can be integrated with the help of a product ontology, which can provide consensual definitions of concepts and inter-relationships relevant in a product domain of interest. A product ontology is either given by a third party or results from ontology engineering. In both cases, the problem is how to assess its quality, and then select the “right” ontology. This chapter: (1) proposes a metrics suite for product ontology evaluation based on semiotic theory, and (2) demonstrates the feasibility and usefulness of the metrics suite using a supply chain model. The contribution of this research is the comprehensive metrics suite that takes into account the various quality dimensions of product ontology.

Semiotic Evaluation of Product Ontologies

2011 ◽  
pp. 64-79
Author(s):  
Joerg Leukel ◽  
Vijayan Sugumaran
Keyword(s):  
Supply Chain ◽  
Third Party ◽  
Ontology Engineering ◽  
Chain Model ◽  
Related Information ◽  
Ontology Evaluation ◽  
Supply Chain Model ◽  
Quality Dimensions ◽  
The Right

Product-related information can be integrated with the help of a product ontology, which can provide consensual definitions of concepts and inter-relationships relevant in a product domain of interest. A product ontology is either given by a third party or results from ontology engineering. In both cases, the problem is how to assess its quality, and then select the “right” ontology. This chapter: (1) proposes a metrics suite for product ontology evaluation based on semiotic theory, and (2) demonstrates the feasibility and usefulness of the metrics suite using a supply chain model. The contribution of this research is the comprehensive metrics suite that takes into account the various quality dimensions of product ontology.

Towards a Semiotic Metrics Suite for Product Ontology Evaluation

2011 ◽  
pp. 309-323
Author(s):  
Joerg Leukel ◽  
Vijayan Sugumaran
Keyword(s):  
Supply Chain ◽  
Chain Model ◽  
Chain Management ◽  
Product Domain ◽  
Related Information ◽  
Ontology Evaluation ◽  
Supply Chain Model ◽  
Quality Dimensions ◽  
The Right ◽  
Integration Problems

In recent years, product ontology has been proposed for solving integration problems in product-related information systems such as e-commerce and supply chain management applications. A product ontology provides consensual definitions of concepts and inter-relationships being relevant in a product domain of interest. Adopting such an ontology requires means for assessing their suitability and selecting the “right” product ontology. In this article, the authors (1) propose a metrics suite for product ontology evaluation based on semiotic theory, and (2) demonstrate the feasibility and usefulness of the metrics suite using a supply chain model. The contribution of our research is the comprehensive metrics suite that takes into account the various quality dimensions of product ontology.

scholarly journals Fish Supply Chain Model in Traditional Market: Case Study of Beringharjo Market Yogyakarta

2020 ◽  
Vol 147 ◽  
pp. 02007
Author(s):  
Ensi Saraswati ◽  
Suadi
Keyword(s):  
Supply Chain ◽  
Production Systems ◽  
Raw Material ◽  
Chain Model ◽  
Fresh Fish ◽  
Salted Fish ◽  
Supply Chain Model ◽  
Traditional Market

This research aimed to understand the flow of fish commodity, information, and financial in the fish supply chain at the traditional market, through case study in the Beringharjo market Yogyakarta. Data was collected through systematic interview with 18 fish businesspersons and observation on the study site. The study showed fish commodities in the market consisted of marine, freshwater and processed fish (salted/dried fish and soft bone milkfish/bandeng presto). The fish majorly supplied by suppliers from outside Yogyakarta, that reached 86-90% for fresh fish (marine and freshwater) and 100% for salted fish and raw material of bandeng presto. Suppliers and traders in Beringharjo market used flexible methods of payment, such as manual receipt and trust-based relation (for instance pay on other day). The suppliers and traders had been work together for more than five years. The emerging problems were the lack of fresh fish supply and the low quality of processed fish. The supply chain model for fresh fish involved three stages (supplier-seller-ultimate customer/household) and the supply chain model for processed fish in four stages (supplier-wholesaler-trader/seller-ultimate consumer). The supply chain model for the milkfish also consisted of four stages (supplier-fish processor-seller-ultimate consumer). The study indicates the importance of improving local fish production systems to fullfill growing fish consumption in DIY.

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