Elisa Gebennini

Bio: Elisa Gebennini is an academic researcher from University of Modena and Reggio Emilia. The author has contributed to research in topics: Supply chain & Storage efficiency. The author has an hindex of 12, co-authored 43 publications receiving 625 citations.

Optimization models for the dynamic facility location and allocation problem

Abstract: The design of logistic distribution systems is one of the most critical and strategic issues in industrial facility management. The aim of this study is to develop and apply innovative mixed integer programming optimization models to design and manage dynamic (i.e. multi-period) multi-stage and multi-commodity location allocation problems (LAP). LAP belong to the NP-hard complexity class of decision problems, and the generic occurrence requires simultaneous determination of the number of logistic facilities (e.g. production plants, warehousing systems, distribution centres), their locations, and assignment of customer demand to them. The proposed models use a mixed integer linear programming solver to find solutions in complex industrial applications even when several entities are involved (production plants, distribution centres, customers, etc.). Lastly, the application of the proposed models to a significant case study is presented and discussed.

On the integration of planning and environmental impact assessment for a WEEE transportation network—A case study

Abstract: The planning activity of Waste Electrical and Electronic Equipment (WEEE) collection networks is a topic of interest for researchers and managers, due to both the complexity of the problem and its important practical implications, in accordance with the guidelines that recent laws have addressed in a large number of industrialized countries. Nevertheless, even if these new legislation directives aim to reduce the critical effects of human activities on the environment, approaches for coupling the planning phase of a WEEE transportation network with the analysis of its environmental impact are rare in literature. Specifically, in this paper, a WEEE transportation network in the North of Italy (precisely, in the Reggio Emilia district) is addressed by means of an integrated solution approach. The methodological steps regard the following topics: data collection techniques, vehicle routing methods and heuristic procedures for creating different system scenarios, simulation modelling for obtaining solutions satisfying technical performance measures, LCA methodology for assessing the environmental impact of such solutions, multi-criteria decision methods for selecting the best choice under the joint technical and environmental perspective.

A multiple single-pass heuristic algorithm solving the stochastic assembly line rebalancing problem

Abstract: Assembly line rebalancing is a problem companies are frequently confronted with as continuous changes in product features and volume demand caused by the volatility of modern markets result in re-definition of assembly tasks and line cycle time fluctuations Consequently, managers are forced to adjust the balancing of their lines in order to adapt to the new conditions while trying to minimise both increases in completion costs and costs related to changes in task assignment In particular, when modifications are made to line balancing, costs are incurred for operator training, equipment switching and moving, and quality assurance The stochastic assembly line rebalancing problem is essentially composed of a multi-objective problem in which two joint objectives, total expected completion cost of the new line and similarity between the new and the existing line, must be optimised Consequently, this paper presents a multiple single-pass heuristic algorithm developed for the purpose of finding the most comp

An integrated approach to the design and management of a supply chain system

Abstract: In the modern competitive business environment, the design and management of supply chains is one of the most important and critical problems facing managers of multinational companies operating worldwide. There are three levels of decisions in a supply chain: strategic, tactical, and operational levels. The literature generally treats these decisions separately. This study defines a conceptual framework for the development of new modeling approaches for the Production Distribution Logistic System Design (PDSD) problem. In particular, the authors introduce the initial basis for the development of an innovative decision support systems platform capable of integrating the design, management, control, and optimization activities for a supply chain system.

The Design and Analysis of Experiments

Abstract: THE DESIGN AND ANALYSIS OF EXPERIMENTS. By Oscar Kempthorne. New York, John Wiley and Sons, Inc., 1952. 631 pp. $8.50. This book by a teacher of statistics (as well as a consultant for \"experimenters\") is a comprehensive study of the philosophical background for the statistical design of experiment. It is necessary to have some facility with algebraic notation and manipulation to be able to use the volume intelligently. The problems are presented from the theoretical point of view, without such practical examples as would be helpful for those not acquainted with mathematics. The mathematical justification for the techniques is given. As a somewhat advanced treatment of the design and analysis of experiments, this volume will be interesting and helpful for many who approach statistics theoretically as well as practically. With emphasis on the \"why,\" and with description given broadly, the author relates the subject matter to the general theory of statistics and to the general problem of experimental inference. MARGARET J. ROBERTSON