Julien Boissière

Decentralised planning coordination with quantity discount contract in a divergent supply chain

This paper proposes to solve a supply chain planning problem with realistic features. The problem consists of planning productions, transportations and storage activities in a supply chain at a tactical level on a finite horizon. The main features considered are decentralised decision making and iteration of the planning process on a rolling horizon basis. In each planning process, the actors optimise their local planning and coordinate to achieve a good overall planning. A multi-agent system is used to model such supply chain behaviour. The study is conducted in a divergent two-echelon supply chain with one manufacturer and multiple independent retailers. Coordination is achieved using a standard contract in practice, known as the ‘quantity discount’ contract. The planning framework on the supply chain structure is detailed. Lot-sizing models integrating the quantity discount are presented for the local planning problems. Experimental tests are conducted with three major parameters: quantity discount price, quantity discount breakpoint and rolling horizon length. They are used to determine the quantity discount parameters in achieving the best supply chain profit, and to analyse the increasing profit of the actors. A decision-making tool which is able to consider realistic features of supply chain planning is therefore resulted.

A multi-agent knowledge model for SMEs mechatronic supply chains

The main concern of this research work is to analyse and model supply chains (SCs) in the particular context of small and medium enterprises (SMEs) in the field of mechatronic. The study is based on the analysis of the organisational features, the actors’ behaviour, and performance considerations. The development of the model relies on an iterative framework that progressively integrates different aspects into the model. This framework is the ArchMDE process, which is based on MDE (Model Driven Engineering). A major feature of this work lies in its contribution to two different areas of research. The first contribution of the work is to propose a generic metamodel for SCs. Based on a literature review, an incremental framework is proposed for the modelling of SCs in terms of concepts, structure and relationships. The application of the framework to the studied context is described and its result is a domain-metamodel for SCs. The second contribution of this work lies in the formalisation of the dynamic behaviour of the concepts in the metamodel. This formalisation is based on the multi-agent approach. An agentification of the metamodel is thus drawn, thanks to the natural links between multiagent theory and SC reality. This step leads to an agentified-domain-metamodel which also includes the monitoring of the SC and synchronisation protocols. By adding relationships and dynamic behavior aspects, we obtain a metamodel of the domain that can be implemented, with its static and dynamic aspects. To validate this model, an industrial case study is detailed and has been instantiated and encoded in JAVA.

A conceptual model for SMEs mechatronics supply chain

Nowadays, in order to meet the demands of the global dynamic market and eliminate its disturbances, the supply chain and its integration across different organisations has become a competitive business advantage along the production processes. In particular, the mechatronic industry is very sensitive to these requirements. Our research deals with modelling the supply chain in order to manage and implement a simulation platform. Basically, we develop a modelling solution for an industrial environment composed of mechatronic small and medium enterprises (SMEs) located in Savoie (France). The study is based on elements from real applications and the SMEs network organisation. An analysis of the domain helped us to develop concepts and a modelling approach adapted to these companies. In this work, we present the area studied, the methodology used to construct the conceptual model of the supply chain, its structure and management rules. Then, we present the model obtained. Finally, we apply this conceptual model to a case study.

A Multiagent Approach for Modelling SMEs Mechatronic Supply Chains

Abstract This paper presents the application of the multiagent system for modelling supply chains involving Small and Medium Enterprises (SMEs) in the mechatronic industry. This work is a combination of two research scopes. The first one deals with the identification of the different concepts able to model the particular manufacturing systems and production context in Savoie – France. The second one outlines the development process based on an agent modelling approach, which offers an easy and reusable modelling of supply chain concepts.

Decentralised capacitated planning with minimal-information sharing in a 2-echelon supply chain

This paper aims at modelling decentralised planning at the tactical level, with minimal-information sharing coordination, in a 2-echelon supply chain with multiple actors at each echelon. Suppliers manage production and storage at the upstream echelon, while retailers manage transportation and storage at the downstream echelon. The main features of the planning process are (1) decentralisation and coordination using contracts and sharing of only order/supply proposals, and (2) iteration on a rolling horizon. Actor planning is modelled as a capacitated lot-sizing problem on a finite horizon, with the focus on quality of service. The objective is to minimise costs, with a high lost sales penalty if demand is not met. Two other decision problems are pointed out and modelled with Mixed Integer Programming: (1) lost sales allocation between the retailers when their demands cannot be satisfied; and (2) allocation of orders between the suppliers. A multi-agent system combines simulation of the planning process and optimisation of the local decision processes. Several strategies, including retailers’ beliefs about suppliers’ production capacity are proposed and experimentally tested, with two patterns of production capacities. The results compare the proposed allocation strategies and highlight the relevance of the proposed framework for the studied planning problem.

Service network design in short and local fresh food supply chain

This paper aims at developing efficient solving methods for an original service network design problem imbued with sustainable issues. Indeed the network has to be designed for short and local supply chain and for fresh food products. The original features of the problem are the seasonality of supply, the limitation of transshipments for a product and no possibility of storage between consecutive periods. Decisions at strategic and tactical level are (1) decisions on a subset of hubs to open among a given set of potential locations, (2) transportation services to open between the actors and (3) flow quantities for the fresh food products. We propose for this problem a Mixed Integer Programming formulation and two solving techniques: Benders Decomposition and Dynamic Slope Scaling Procedure. These techniques are adapted to the problem and some experimental tests are conducted in order to compare the approaches on large-scale instances.

Multiagent Decision Making For SME Supply Chain Simulation.

To tackle the complexity and heterogeneity of the networks that integrate Mechatronic SMEs, this paper describes a modelling and simulation solution based on multiagent system and ArchMDE (Architecture Model Drive Engineering) methodology for supply chain agentification. This research work outlines two main results: conceptualisation and modelling. The first one deals with the identification and concepts definition of the different entities moving and acting into the multiagent and supply chain systems. The second one discusses the agent approach providing a framework naturally oriented to model supply chain concepts and their dynamic behavior.

A Generic Knowledge Model for SME Supply Chain Based on Multiagent Paradigm

This chapter is dedicated to the generation of an agentified knowledge model for modeling and simulation of the supply chain in Small and Medium Enterprises (SME) context. For this purpose, the organization of this work is directed by the ArchMDE development process which is founded on Model Driving Engineering (MDE). The fundamental contributions concern two research areas. The first one concerning the industrial engineering scope, proposes a generic domain meta-model (i.e. supply chain integrating SME) identifying the functional concepts and their properties. The second one considering the computer engineering scope, highlights all steps necessary to integrate the dynamic behaviour into the domain meta-model built according to the multi-agent technology. In this perspective, this chapter describes the outcome of these artefacts from the study of the domain through the agentification process, to the implementation of the knowledge model.