Anne-Marie Jolly-Desodt

Multicriteria Decision Aid Tool for Third-Party Logistics Providers' Selection

The outsourcing of logistics activities has become a common practice by many companies, which implies an efficient choice of the third-party logistics (3PLs) providers. A literature review on the 3PLs providers selection problem shows that this selection is a very complex process which depends on several factors, which are often in conflict with one another, such as price, quality, service, location, technology, etc. This paper proposes a software tool using ELECTRE method for selecting the 3PLs providers. This tool incorporates various selection criteria and allows the user to introduce other criteria according to his needs. The application of our tool is demonstrated through an illustrative example

Benchmarking of the textile garment Supply Chain using the SCOR model

In order to achieve modeling of the supply chain of textile and garment, we collected information from the industry through an external benchmarking project, involving 29 textile garment supply chains. Then, using these performance data we identified important variables and investigated the endogenous and exogenous relationships amongst variables. The SCOR model had to be adapted to this study. We obtain as a result of the study a classification of the interactions between the performance measures on the factory level and on the supply chain level

A profit-maximization dynamic model for supply chain planning

Supply chain planning is a strategic issue for every company because of the evolution of its technical and economic environment. Many disciplines such as operations research, management science, automatic control, information science, industrial engineering, etc., contribute to the development and improvement of various planning methods: synchronization, flexibility, forecasting, multi-stage planning, dynamic and stochastic aspects, lot sizing etc. Literature relating to supply chain planning mostly focuses on cost minimization, and the theoretical approach in this field usually follows the concepts introduced by the economic order quantity model (EOQ) of Harris-Wilson. However, despite the quasi-systematic resort to sophisticated mathematical models, the strategy of cost minimization is not always useful in the real industrial context. Several studies and papers showed the limits of these models. This paper deals with dynamic optimisation of the quantity to order in a supply chain for several products. The model takes into account the demand process, economic characteristics and logistic constraints, in order to determine the quantity which will maximize profits and satisfy customer requirements without compromising the profitability of the company.

CONCEPTION OF A DECISION SUPPORT SYSTEM FOR HUMAN-MACHINE SYSTEMS

Abstract This paper presents a multi criteria decision system aimed to help the operator of a human machine system to take, at each moment, suitable decisions about the tasks to be done. Due to the kind of information processed, the frame of possibility theory will be considered. It allows taking a decision based both on rules and preferences. This system first developed for teleoperation mission could be applied each time two types of process must cooperate: one lead by man and the other by the machine.

Optimization of Supply Chain Planning Using Stochastic Sales Forecasts

Abstract The supply chain management is a strategic tool for enterprises which want to improve their performance and competitiveness. This project needs a strong partnership between a company, its customers and its suppliers. Beside the organizational and information system aspects, mathematical tools are also needed for the analysis and optimization of the decision at each stage of the supply chain. This paper deals with models of dynamic optimization of the requirement planning, which use some knowledge of the stochastic properties of the sales process. Some recent results are recalled and extended. Then, the effect of transportation delay is analyzed in the case of a supply chain which is coherent with respect to the planning parameters. A comparison between theoretical results and simulation is given in the last section.

A Man-Machine Interface Based on Fuzzy Concepts

Abstract In many fields, the cooperation between the man and the machine appears to be an efficient solution to guarantee a sufficient performance. But this raises the problem of the quality of the information exchanged between the man and the machine. This paper points out how fuzzy sets can help to express the information exchanged from the man and the machine so as to use it for a decision support system included in the man-machine systems. A linguistic-numerical interface is provided to allow the man and the machine to understand one another.