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Open access

Darya Plinere and Arkady Borisov

A Negotiation-Based Multi-Agent System for Supply Chain Management

A supply chain is a key definition in logistics. The supply chain is a set of logistics system nodes that is linearly ordered by the material, information or financial flow in order to analyze or synthesize a specific set of logistic functions and (or) costs. Multi-agent systems are suitable for the domains that involve interactions between different people or organizations with different (possibly conflicting) goals and proprietary information. They view the supply chain as a set of intelligent agents, each responsible for one or more activities in the supply chain. The ontology, in turn, describes the domain area and becomes a mechanism to aid in understanding and analyzing the information flow between agents. The use of ontologies for multi-agent system provides the following benefits: the ontology enables knowledge structuring and sharing, increases the reliability of agent system and provides the basis for the interaction between the agents. This paper proposes a method of multi-agent system application for supply chain node cooperation and shows the interaction between agents inside one of the supply chain nodes - manufacturer node.

Open access

Darya Plinere and Arkady Borisov

SWRL: Rule Acquisition Using Ontology

Nowadays rule-based systems are very common. The use of ontology-based systems is becoming ever more popular, especially in addition to the rule-based one. The most widely used ontology development platform is Protégé. Protégé provides a knowledge acquisition tool, but still the main issue of the ontology-based rule system is rule acquisition. This paper presents an approach to using SWRL rules Tab, a plug-in to Protégé, for rule acquisition. SWRL rules Tab transforms conjunctive rules to Jess rules in IF…THEN form.

Open access

Darya Plinere and Arkady Borisov

Abstract

Ontology application is widely used for different purposes and areas. This paper presents the difference between taxonomy and ontology, the steps of ontology development and an example of ontology development for raw materials management. Raw materials management is a process that is considered to be part of the overall supply chain management process and focuses on the tasks of securing the highest quality materials at the lowest rates possible, while also working within the company structure to make sure those materials provide the best possible benefit within the production process.

Open access

Darya Plinere and Arkady Borisov

Abstract

An ontology is an explicit formal conceptualization of some domain of interest. Ontology application is widely used in multi-agent systems. Ontology provides the channel through which software agents interact; therefore, if the ontology definitions have not been sufficiently evaluated, communication between software agents may not succeed. Ontology evaluation guarantees to end users the correctness and completeness of ontology definitions and software. The goal is to detect wrong, incomplete or missed definitions in the ontology. The study is based on multi-agent system application for raw materials management task. The common ontology is used for agent cooperation; the quality of ontology is measured with ontology evaluation techniques.

Open access

Darya Plinere and Arkady Borisov

Abstract

Inventory management is a challenging problem area in supply chain management. Companies need to have inventories in warehouses in order to fulfil customer demand, meanwhile these inventories have holding costs and this is frozen fund that can be lost. Therefore, the task of inventory management is to find the quantity of inventories that will fulfil the demand, avoiding overstocks. This paper presents a case study for the assembling company on inventory management. It is proposed to use inventory management in order to decrease stock levels and to apply an agent system for automation of inventory management processes.