Jean-Paul Bourrières

Production system life-cycle modeling for control assessment

Production systems modeling aims at offering a generic representation applicable to industrial cases in order to assess their operating modes, evaluate their performances or guide their evolution. This paper provides a modeling method to represent complex networked production systems in mind to control them. The model is suitable to analyze a system at different steps in its life cycle: design, operating, re-engineering. For each of these steps, the model represents either the functional view or the organic view of the system or both to provide the analysts with the relevant information. Guidelines for model tuning during systems life cycle are also defined, based on the analysis of the nature and criticality of the events, which justify re-engineering activities.

Multilevel Algebraic Modelling of Complex Manufacturing Tasks

Abstract Production management has to cope with more and more complex technical data. The algebraic model presented in this paper provides a recursive multilevel data representation to assess material and task requirements to satisfy orders. The approach is based on the state equation of Petri nets applied to the generalised representation of product and task data in the enterprise. Material requirement and workload, as well as data aggregation, are provided by linear algebraic manipulations.

Supply chain planning under various quantity commitment contracts

Abstract This paper explores a type of supply contract under which the purchaser commits to buy a quantity of product per period with a granted flexibility over a certain horizon of time. We build a finite horizon linear programming model to characterize dynamically the production and replenishment planning depicted on each actor of the supply chain. This model based on rolling horizon planning considers gradually the emergence of new information (demand peak occurrence, disturbance on deliveries in workflow…) and takes account undergoing contractual supply constraints from the supplier. The purpose is then to investigate by numerical experimentations the impact of supply commitments contracted by partners on supply chain performance and responsiveness in order to draw some managerial insights.

Collaborative Planning for Enterprises Involved in Different Supply Chains

This paper is to propose a generic analytic model to plan activities performed by common resources shared between different order makers. Considering the problem in a distributed and collaborative decision making context, a negotiation-based approach is proposed and systematized to express information exchanged between order makers and convergence criteria needed to rapidly calculate relevant planning solutions

A data aggregation framework for multi-level production system control

The management of production systems requires a hierarchy of decision levels allowing a multi-level planning and scheduling process. To be able to perform its control tasks, each decision center needs a set of technical data (static, dynamic) relating to the operative system. Here, a formal framework is proposed to lead various data aggregation in production management. The path of an aggregation process is captured in a 2-dimensional referential combining the basic directions of aggregation : resource and task.

Supply Chain Reactivity Assessment Regarding Two Negotiated Commitments: Frozen Horizon and Flexibility Rate

The problem addressed in this paper is the supply chain reactivity assessment through numerical experimentations regarding specifically two negotiated commitments within supply contract: the frozen horizon and flexibility rate. Analysis of impact of these commitments on each partner will be depicted in term of storage costs, reliability and reactivity indicators. The decision making inside each partner is operated under rolling horizon planning and based on production linear programming model wherein different contractual commitments are included. To carry out experimental scenarios, simulation platform is developed from which expecting numerical results afford deciders to get more understanding about the commitments that should be contracted and the relevant dimensioning of them.

The INTEROP Network of Excellence

Research in the interoperability domain in Europe remains insufficiently structured, is fragmented, sometimes overlapping. There is no global vision of research consistency, no co-ordination between European research centres, university laboratories or other bodies. This situation is not only true for research, but also in the training and education areas. Consequently, the primary goal of INTEROP is the sustainable structuring and shaping of European research activities on Interoperability for Enterprises Applications and Software and the emergence of a lasting European Research Community that will influence standards, affect policy and solve recurrent problems in networked enterprises. The INTEROP Network of Excellence consortium is composed of 50 members coming from 15 countries (13 EU Member States, Norway and Switzerland). The network co-ordinates around 180 researchers and 100 Doctoral Students.

Fast assessment of production makespan using aggregate technical data

This paper presents a generic multilevel data model to support planning decision makers in the evaluation of production capacities and delays. The approach promotes rough but rapidly assessed views of the manufacturing capacities and of the production margins to provide planning decision with more reactivity. We first address the aggregation of planning-related technical data on products, processes and workshop capacity. Data aggregation is seen as a recursive process the depth of which is case-dependent. The aggregate data are then exploited for the assessment of the production makespan. The applicability of our generic approach is shown on a case study stemming from the wood transformation sector.

MULTI-ECHELON PRODUCTION PLANNING PROCESS WITH NO TIME COORDINATION

The purpose of this paper is to study decentralized planning processes with no time coordination, performed within a whole supply chain. Distributed production and business units which compose the network, are considered as economically independent and autonomous in decision making, they define and update their production plans according to their own planning dynamic and strategy. Reactivity within these supply chains being quite dependent of this planning processes coordination, we try to assess the impact of this phenomenon on supply chain performance through a series of simulation, based on a generic linear programming model supporting the production, replenishment and delivery planning.

A decision support system for production and procurement planning of enterprises X-networks

The market globalization and the evolution of information and communication technology led to the emergence of networked production organizations. Based on closed relationship, these organizations need to manage the supply chain and extend production management tools to the scale of enterprise networks. As the planning function is not well-ensured, this study consists in the proposition of a decision support system to carry out the expert decision in the context of X-networks production and procurement planning. Two different points of view according to the degree of assistance are presented.