Lamia Berrah – författare

This book aims to provide a synthesis of work and ideas done by our team over the last fifteen years in the field of information processing for expression of industrial performance. The statement of objectives on the one hand and the calculation of the other performances are discussed, with the search for the explanation of the link between these two basic steps of an industrial improvement. Beyond the synthetic and typological character of this study, the originality of this work lies in the consideration of the temporal dimension of the objectives, and spread on performance expressions. A fuzzy processing and multi-criteria aggregations time information that can be quantitative, qualitative or symbolic are proposed, in line with industrial practice and literature in the field of performance management.

This book aims to provide a synthesis of work and ideas done by our team over the last fifteen years in the field of information processing for expression of industrial performance. The statement of objectives on the one hand and the calculation of the other performances are discussed, with the search for the explanation of the link between these two basic steps of an industrial improvement. Beyond the synthetic and typological character of this study, the originality of this work lies in the consideration of the temporal dimension of the objectives, and spread on performance expressions. A fuzzy processing and multi-criteria aggregations time information that can be quantitative, qualitative or symbolic are proposed, in line with industrial practice and literature in the field of performance management.

Decision and Decision-maker in an Industrial Environment developed around the observation that two different decision-makers, faced with the same problem, may not make the same decision. The book proposes explanations for this, ranging from the wholly rational to the irrational, and analyzes different factors in decision-making, such as the intention of the decision-maker, the environment in which their decision is made or the process leading to decision-making.

While the common belief is that everything in an industrial environment stems from reasoned decisions, analysis of common practice shows that this is not always the case. This book offers an original perspective by presenting the decision making mechanism from the point of view of the decision maker and their handling of a specific decision-making problem.

To learn more about the decision-maker’s motivations when faced with these situations, the authors provide a review of the history of decisionmaking and the major trends in decision-making theory. The concepts and methods are presented with illustrations based on the use of an MES, an industrial management software package.

Decision and Decision-maker in an Industrial Environment developed around the observation that two different decision-makers, faced with the same problem, may not make the same decision. The book proposes explanations for this, ranging from the wholly rational to the irrational, and analyzes different factors in decision-making, such as the intention of the decision-maker, the environment in which their decision is made or the process leading to decision-making.

While the common belief is that everything in an industrial environment stems from reasoned decisions, analysis of common practice shows that this is not always the case. This book offers an original perspective by presenting the decision making mechanism from the point of view of the decision maker and their handling of a specific decision-making problem.

To learn more about the decision-maker’s motivations when faced with these situations, the authors provide a review of the history of decisionmaking and the major trends in decision-making theory. The concepts and methods are presented with illustrations based on the use of an MES, an industrial management software package.

The scientific theme of the book is “Sustainability for the digital manufacturing era” which is focused on how the technological enablers of digital systems drive the sustainability for products, processes, manufacturing, and logistics systems in the industry of the future. The book’s chapters describe sustainability drivers specific to the technological advances that motivate, encourage, and engage the economic, social, and environmental aspects within intelligent manufacturing and logistics systems. The novelty of this approach consists in extending the economic sustainability of digital manufacturing with the ethical perspective at human social scale. The general scope of the book is to foster innovation in smart and sustainable manufacturing and logistics systems and in this context to promote concepts, methods, and solutions for the digital transformation of manufacturing through service orientation in holonic and agent-based control with distributed intelligence. The book’s readership is comprised of researchers and engineers working in the value chain of products and processes, who develop digital control solutions in the “Industry of the Future” vision. The book is also addressed to master’s and Ph.D. students enrolled in Engineering Sciences programs.