A general agent-based architecture for production planning i electronic commerce scenarios (original) (raw)

A General Agent-Based Architecture for Production Planning in Electronic Commerce Scenarios

ESM2000-European Simulation …, 2000

The creation of a general architecture for the use of agents in production planning is addressed. The modularity and flexibility provided by an agent-oriented system proves itself useful in dynamic scenarios. The anthropomorphic features of the agents make them suitable for Electronic Commerce systems. Agents enable the interconnection of already existent web-based systems with the production lines of a company, potentiating higher degrees of client satisfaction.

Adoption of an Agent-Based Production Planning Technology in the Manufacturing Industry

2001

This paper presents work carried out within the "ExPlanTech " project (IST - 1999-20171) funded by the European Commission Information Technologies Programme. The mission of the ExPlanTech is to introduce, customize and exploit a multi-agent production planning technology (ProPlanT multi-agent system research prototype) in two specific industrial enterprises. An agent driven service negotiations and decision process based on usage-centered knowledge about task requirements substitutes the traditional production planning activity. We introduce methodology for integration of the project-driven production planning based on agent-based engineering within the existing enterprise resource planning system. This novel production planning technology will facilitate optimization of resource utilization and supplier chain while meeting the customer demands

The Design of an Agent-Based Production Scheduling Software Framework for Improving Planning-Scheduling Collaboration

In the operation management environment, the process of production scheduling is responsible for detailing operating activities by indicating a set of methods and tools that are conditioned, among other restrictions, by the tactical decisions that are made in the production planning environment. Although, theoretically, a bi-directional flow of information should exist among both environments of decisions that permit those who are involved to coordinate both levels in practice, such does not occur because of a structured decision-making tool gap. This document proposes an architecture that is based on agents software designed with INGENIAS methodology and proposed from an analysis of requirements that is based on CIMOSA. Once it is implemented, a prototype that employs JADE has been carried out to test and verify its suitable operation.

An advanced agent-based order planning system for dynamic networked enterprises

Production Planning & Control, 2004

There is an increasing interest in exploring the opportunities for competitive advantage that arise from reinforcing core competencies and innovative capabilities of the individual companies, and by forming integrated supply networks. In complex and dynamic environments such as the automotive and semiconductor industries, managing and coordinating the procurement of materials, their transformation into intermediate and finished products, and the distribution to the final customers, are very demanding tasks in terms of information systems. In general, current available software packages do not provide the full support needed for networked and distributed organizations, and are clearly insufficient in what concerns the planning and coordination activities needed in these heterogeneous environments. In order to adequately tackle these problems, this work proposes a multi-agent system architecture for real-time customer-order planning in distributed manufacturing enterprises, addressing the requirements of a make-to-order environment. The present research work resulted from the CoOPERATE

Distributed production planning and control agent-based system

International Journal of Production Research, 2006

A model of an Agent based Production Planning and Control (PPC) system able to be dynamically adaptable to local and distributed utilization of production resources and materials is presented. The PPC system is based on the selection of resources to deal with one order of different quantities of one product each time. In this way it is build one scheduling solution for that particular order. The production resources are selected and scheduled using a multiagent system supported by an implementation of the Smith Contract Net, using Java Spaces technology. The multiagent system is based on three main agents: Client, Resource and Manager. These agents negotiate the final product, and the correspondent components, requested by the client. An order for each product (component) triggers a process of dynamic design of a production system to fulfill that particular order. This system exists till the end of the order.

ProMAIS: A Multi-Agent Model For Production Information Systems

2004

In the age of information proliferation and communication advances, Cooperative Information System (CIS) technology becomes a vital factor for production system design in every modern enterprise. In fact, current production system must hold to new strategic, economic and organizational structures in order to face new challenges. Consequently, intelligent software based on agent technology emerges to improve system design on the one hand, and to increase production profitability and enterprise competitive position on the other hand. This paper starts with an analytical description of logical and physical flows dealt with manufacturing, then proposes a Production Multi-Agent Information System (ProMAIS). ProMAIS is a collection of stationary and intelligent agent-agencies with specialized expertises, interacting to carry out the shared objectives: cost-effective production in promised delay and adaptability to the changes. In order to bring ProMAIS's dynamic aspect out, interaction protocols are specially zoomed out by cooperation, negotiation and Contract Net protocols.

Multi-Agent Systems in Internet based Production Environments — an enabling Infrastructure for Mass Customization

2003

Mass customization manufacturing requires a high level of reconfigurability and flexibility in production – especially in production planning and control –, effective information systems, as well as suitable production concepts. Multi-agent systems theoretically provide the required features, but a lack of informational integration and organizational incompatibilities lead to low applicability. Internet based production concepts provide the necessary interoperability and organizational alignment to support an overall application of multi-agent systems in mass customization. The intended decentralization of organizations in Internet based production concepts conform to the modular structure of multi-agent systems. A coordinated application leads to an enabling of mass customization.

Multi-agent system for an integrated distributed production planning : an innovative approach based on technological support

2020

Production planning is considered as crucial for the success of operation in production management and represents an important role in the performance of the supply chain. Production planning as a critical phase of supply chain management in general and in manufacturing system in particular is a multi-parameters decision-making issue. Generally, the process of production planning the most suitable and appropriate planning has multiple complexities and obstacles that holds multiple-parameters. This paper handles the production planning problem in a Moroccan Marble company. The present study presents an integrated distributed manufacturing planning approach based on multi-agent system methods in order to solve the issues related to the production planning procedure within Marble company with the help of the Agile Production Planning model and Collaborative Production Planning model within the context of DPP. The study starts with reviewing the previous works of multi-parameters manufa...

An agent-based system for sales and operations planning in manufacturing supply chains

6th WSEAS International Conference …, 2007

A major problem faced by manufacturing organizations is providing efficient and cost-effective responses to the unpredictable changes taking place in global markets and in supply chains. Sales and Operations Planning helps giving better customer service, lower inventory, shorten customer lead times, stabilized production rates providing top management with a handle on the business and supporting a company to get and keep demand and supply in balance over time. This paper proposes a multi-agent based system that would enable small and medium-size manufacturing organizations to dynamically achieve cost-effective aggregate sales and operations plans in supply chain contexts. The simulation of the agent's interactions supports planners, in supply chain operations planning, providing multiple scenarios with respect to the balance between supply and demand. This paper presents the main features of the proposed system and it finally discusses the benefits and limitations highlighted by its application in real industrial contexts.