Thursday , December 13 2018

A Framework for Improving Planning-Scheduling Collaboration in Industrial Production Environment

Pedro GÓMEZ-GASQUET
Centro de Investigacion de Gestion e Ingenieria de la Produccion, Universidat Politecnica de Valencia, Cno. de Vera s/n,
Valencia, 46022, Spain

Francisco-Cruz LARIO
Centro de Investigacion de Gestion e Ingenieria de la Produccion, Universidat Politecnica de Valencia, Cno. de Vera s/n,
Valencia, 46022, Spain

Ruben-Dario FRANCO
Centro de Investigacion de Gestion e Ingenieria de la Produccion, Universidat Politecnica de Valencia, Cno. de Vera s/n,
Valencia, 46022, Spain

Víctor ANAYA-FONS
Centro de Investigacion de Gestion e Ingenieria de la Produccion, Universidat Politecnica de Valencia, Cno. de Vera s/n,
Valencia, 46022, Spain

Abstract: The work presented in this paper highlights how a real scheduling problem can be considered as a process avoiding the traditional operation research-based approach. Understanding the scheduling problem as a dynamic, uncertain and continuous process, in order to reduce the gap between reality and academic models, new conceptual elements emerge. The framework includes methodologies, concepts, architecture, and algorithms, which are based on the idea of a multiagent system in which planning-scheduling relationship is the core proposal. From the framework a software platform has been developed and tested in real industry.

Keywords: Planning-Scheduling collaboration, Framework, Multiagent.

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CITE THIS PAPER AS:
Pedro GÓMEZ-GASQUET, Francisco-Cruz LARIO, Ruben-Dario FRANCO, Victor ANAYA-FONS, A Framework for Improving Planning-Scheduling Collaboration in Industrial Production Environment, Studies in Informatics and Control, ISSN 1220-1766, vol. 20 (1), pp. 67-78, 2011.

1. Introduction

The objective of this paper is to present a modelling approach integrating conceptual models, architectures, methodologies and algorithms in the area of production scheduling. The scheduling problem exists not only in manufacturing enterprises, but also in public and service oriented organizations. It is typically NP-hard.

Problem representation and problem solution are strongly interconnected but each one has its own ways. In the paper we present a framework for collaborative production scheduling and we show how problem description and problem solution can be integrated. To achieve this we follow the Agent-based modelling paradigm.

Agent-based modelling has its roots in Artificial Intelligence (AI) and is further development in the area of Software Engineering. Essential for this kind of frameworks are efficient algorithms to find the problem solution. For the domain of production scheduling algorithms are mainly development at the border of two areas, Operations Research (OR) and Computer Science.

The remainder work is divided according to the following form: the second section review the background, the third section analyses the problem of collaborative scheduling, the fourth section deployed the framework proposed, and fifth section is dedicated to comment implementation and testing of proposed framework. The paper ends with a conclusion about the aforementioned information.

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https://doi.org/10.24846/v20i1y201106