L. Pun

GRAI-IDEF0-Merise (GIM): Integrated methodology to analyse and design manufacturing systems

Abstract This paper presents an integrated methodology for the analysis and design of manufacturing systems (MSs). The need and criteria for the selection of the components (GRAI, Merise and IDEF0) are presented. Second, elements of the integrated methodology viz. graphical tools, structured approach, reference models, coherence tools and translation rules are presented. Emphasis is given to the need for new tools: coherence tools, translation rules and reference models, in order to ensure integration.

Paper: Computer assisted static and dynamical plannings for production activities

The computer assisted static and dynamical plannings for production activities are viewed as man-machine convivial controls. The three main aspects of these controls are treated in this paper. 1.1. The structural understanding, obtained by using a newly created graphical method: GRAI-nets (Graphs with Results and Activities Interrelated). 2.2. The problem specification, obtained by using the automata-type language. 3.3. The problem resolution, by showing two application examples, one static and the other one, dynamical. In the static case, conventional OR and Control methods are used. In the dynamical case, the first-order predicate logics are used.

Decision-making systems for production control planning and scheduling

The purpose of this communication is to introduce a new approach in the field of production-control with regard to plants working in small and medium size lots only. In order to suppress the disadvantages of the systems already in use, the GRAI proposes a now approach which is based on a hierarchical decomposition of the production control system and of the decision-making techniques. There will be first a description of the new structure, then u description of two applications corresponding to two elements of the structure, namely: (a) a conversational system for a quick calculation of the long-range production plans; (b) the aided dynamic scheduling.

Utility of design methodology for advanced manufacturing systems

Abstract A methodology is presented for the design of advanced manufacturing systems (AMSs). Following an introduction to the problems of specifying AMSs, a survey and classification of methodologies is presented. The classification is further illustrated in discussing some existing methodologies, namely, decisional (graphe a resultats et activites interrelies (GRAI)), informational (structured system analysis design (SSAD)) and physical (graphe de commande etape-transition (GRAFCET)).

Graphical methods for production control

Three graphical method families are investigated and compared in terms of their representability in production control problems. The confrontation put PERT networks and their extensions in GANs before the same comparison basis as Petri nets and the new GRAI nets suggested by one of the authors.

Flow-profiles and potential-graphs based FMS dynamical control

Abstract This paper presents a method to solve the real-time FMS-control problems. The method is viewed as an aid to the FMS-Monitor. In the Introduction, the control problem is formulated. The emphasis is on the aspect of pernicious perturbations, the causes of which are difficult to determine. It results then Np-complete problems of auscultation, diagnosis and therapy. Next, tools and procedures are presented to solve the problems of auscultation and diagnosis, based on the use of Flow-Profiles. The last section presents tools and procedures to solve the therapy problems, based on the use of potential graphs.

The GRAI approach to the structural design of flexible manufacturing systems

This paper is addressed to all persons interested in the structural design of flexible manufacturing systems (FMS) but particularly to analysts who use simulation methods. The approach suggested consists of two procedures. The first is a progressive procedure which shows how to succeed in the design by starting with reasonable and feasible objectives, and then progress on the basis of experience. The second is a decomposition procedure which comprises methods guiding the following four design steps (a) activity structuring and problem understanding, (b) specification of simulation system, (c) resolution of formal problem solving and (d) implementation of the computational process.

Pertinence and utility of artificial intelligence techniques for production management systems

Abstract Imitation of lucidity and humour were two main characteristics of J. Hatvany. The paper contains five parts. (1) Definitions of pertinence and utility. (2) Problematics of production management systems to determine intelligence need. (3) Potentiality analysis of AI techniques. (4) Utility analysis of AI techniques. (5) Suggestions of a filling rock: a situation algebra.

Static and Dynamical Production Plannings

Abstract In this paper, we discurs static and dynamical production plannings in the framework of flexible manufacturing systems (FMS), computer integrated manufacturing and production (CIMP), artificial intelligence systems (AIS) abd expert systems. In part 1, we attempt to locate what are exactly the problems. In the second part, we analyze the contributions of advanced sciences and techniques : Management sciences, Production control, OR, Decision Sciences, Automatic control, AIS and ES. In the third part, we suggest the principle of a coherent methodology for designing Industrial Artificial-Intelligent systems.

Decision aid and predicates in production control

Abstract Production Control Systems (PCS) belong to the multilevel hierarchical complex systems. This article presents a four level decomposition of PCS adapted to the Decision Aid and a method for their analysis. The aim of the present analysis is to determine decision centers in order to build decision aid systems (DAS) adapted to the system controlled by decision makers. The conception of such DAS must use decision aid procedures and Artificial Intelligence techniques. This is consisting particularly in formalizing the Decision Aid Problem by using predicates, such procedures making the use of computer possible.