François Galasso

Decision support for supply chain planning under uncertainty

In order to support decision making, this article investigates the planning process of a production unit within a supply chain. The aim is to satisfy the customer demand while respecting the internal constraints of the production unit and those of its supply chain partners. In that purpose, we suggest a mixed-integer linear programming model which is embedded in a dynamic procedure simulating a rolling horizon planning process. A special attention is given to the temporal features of the production unit and of its suppliers (cycle times, anticipation delays) as well as those of the planning process itself (planning horizon, frozen horizons, planning periodicity). Moreover, the proposed framework takes into account flexible demands and to evaluate different planning strategies to face with these flexible demands. Finally, a numerical example highlighting the interest of our approach is given.

Design of cooperative processes in a customer-supplier relationship: An approach based on simulation and decision theory

Performance improvement in supply chains, taking into account a customer demand in the tactical planning process is essential. It is more and more difficult for customers to ensure a certain level of demand over a medium term horizon as their own customers ask them for personalisation and fast adaptation. It is thus necessary to develop methods and decision support systems to reconcile the order and book processes. In this context, this paper intends firstly to relate decision under uncertainty and the industrial point of view based on the notion of risk management. This serves as a basis for the definition of an approach based on simulation and decision theory that is dedicated to the design of cooperative processes in a customer-supplier relationship. This approach includes the evaluation, in terms of risk, of different cooperative processes using a simulation-dedicated tool. The evaluation process is based on an exploitation of decision theory concepts and methods. The implementation of the approach is illustrated on an academic example typical of the aeronautics supply chain.

Decision support framework for supply chain planning with flexible demand

The most challenging issue of todays production management is certainly to manage networked organizations under an uncertain demand so as to provide a good service to the customer at low cost. In this article, a model of the decision making parameters involved in this management process is suggested, on the base of case studies. A mixed integer linear planning model embedded in a framework simulating a rolling horizon planning process is described on the basis of this analysis. The model takes into account the capabilities of reaction of the planned system and of its environment (suppliers, sub-contractors and customers), as well as the corresponding costs. The suggested simulation framework may assist the decision maker for coping with an uncertain or flexible demand, using various planning strategies. Some possible applications of this simulation framework are given in order to illustrate how it can help to solve various types of practical planning problems.

Towards a crisis performance-measurement system

During a crisis, the main goal for decision-makers consists in restoring a stabilised nominal mode. The stakeholders face considerable pressure and drastic constraints in response time and coordination. This study proposes a method to support these stakeholders in making responsive and accurate decisions while carrying out a performance evaluation of the activities that run during the crisis-response process. This method is composed of four steps: (1) characterisation of the crisis-response system, (2) selection of system components to evaluate in priority, (3) determination of performance dimensions to consider and (4) creation of indicators. Currently, performance evaluation is only used subsequent to a crisis, due to difficulties in gathering and aggregating information into trustable performance indicators. This paper proposes a method to obtain a relevant and dynamic decision-support system. Decision-makers will use it to resolve the crisis based on performance evaluation, in addition to the essential experience they undergo. A case study of crisis management within the French Red Cross non-governmental organisation is developed, through a Web-based prototype, in order to explain how performance indicators can both support crisis-response management and improve the collaboration of stakeholders.

Towards a Performance Measurement System to Control Disaster Response

During a crisis, the main goal for decision-makers consists in restoring a stabilized nominal mode. The stakeholders have to face an important pressure and drastic constraints of response time and coordination. This study proposes a method assisting these stakeholders in their choices while carrying out a performance evaluation of the activities run during the crisis response process. Currently, in crises, the performance evaluation is only used subsequently due to difficulties in gathering and aggregating information into trustable performance indicators. The interest of this paper is to present this method which permits to obtain a relevant decision support system. Decision-makers will use it to resolve the crisis based on performance assessment. A case study about crisis management within the French Red Cross non-governmental organization is developed in order to explain how performance indicators can on the one hand support crisis response management and on the other hand improve the collaboration of stakeholders.

Towards an Integrated Model of Supply Chain Risks: An Alignment Between Supply Chain Characteristics and Risk Dimensions

Within any Supply Chain Risk Management (SCRM) approach, the concept “Risk” occupies a central interest. Numerous frameworks which differ by the provided definitions and relationships between supply chain risk dimensions and metrics are available. This article provides an outline of the most common SCRM methodologies, in order to suggest an “integrated conceptual model”. The objective of such an integrated model is not to describe yet another conceptual model of Risk, but rather to offer a concrete structure incorporating the characteristics of the supply chain in the risk management process. The proposed alignment allows a better understanding of the dynamic of risk management strategies. Firstly, the model was analyzed through its positioning and its contributions compared to existing tools and models in the literature. This comparison highlights the critical points overlooked in the past. Secondly, the model was applied on case studies of major supply chain crisis.

Towards a More Effective Interoperable Solution through an A-Priori Performance Measurement System

Enterprises today face many challenges related to lack of interoperability. But several business and technical solutions are available to bridge this gap. This paper presents a structured and tooled methodology to help decision-makers to quantitatively assess interoperability solutions for their networked enterprise. Practically, this research work proposes an a priori performance measurement system that is able to model and simulate different interoperability solutions. Through a bi-dimensional analysis (stakes and accessibility), the system allows comparing all the potential solutions in order to choose the best one for the network. This scientific proposition is finally implemented on a real application case extracted from the French ISTA3 research project.

Disaster Management Control: Decision Support through Performance Assessment

Abstract Performance evaluation of complex processes requires the management of several dimensions focused on specific parts of the processes. In the frame of disaster management, non-governmental organizations have to consider the solving phase of the disaster lifecycle as a whole set of processes leading to a nearly industrial structure. Hitherto, performance assessment, providing them the base for ensuring the global performance of their actions, was done afterwards in order to improve their knowledge and set up best practices. According to interviews done with the French Red Cross, this approach is not sufficient anymore. Thus, this paper investigates a lack about the practices done in the context of disaster management which concerns the elaboration of performance measurement system for providing a decision support tool. After a state of the art, several aspects are covered: firstly, a process analysis is given, then the performance system is described and finally, a specific focus on indicators is done and applied to a case study.

A Supply Chain Risk Index Estimation Methodological Framework Using Exposure Assessment

The objective of this article is to move a step forward towards the general knowledge about how to manage supply chain risks by developing a theoretical risk index using exposure analysis. Two questions “why logistics systems are exposed to risks? to which type of risk, a supply chain organization is exposed to?” have to be raised and investigated. The answers to these questions will be used as a basis for the risk index methodology, which allows organizations to assess their exposure level and also to identify which type of risk they need to deal with it. The results of previous step will be computed into a supply chain risk index. To achieve our objective, the article is organized as follows: Sect. 2 provides a brief literature review to position the proposed model against other existing theoretical models. Section 3 provides the methodology used to develop our approach. Section 4 presents the conclusion, limitations and future research.

Support to the Public Services Mutation Through Continuous Improvement in a French Metropolis

Public services have their own principles and codes in order to address needs of general interest through the procurement of physical objects, information or services to various kinds of users. Characterized by a political context and a dedicated legal framework, public services have also specific constraints and objectives. This communication shows how continuous improvement methods born in an industrial context could be adapted for addressing the specificity of public service, especially in the new context of “Smart Cities”.