Foto del docente

Cristina Mora

Associate Professor

Department of Industrial Engineering

Academic discipline: ING-IND/17 Industrial Mechanical Systems Engineering


Keywords: industrial plant safety engineering reverse logistics production system management production planning and control industrial logistics green supply chain management lean production

The main topics of research are:

§         Supply Chain Management and analysis of supply chain performance measurement.

§         Reverse Logistics and Closed Loop Supply Chain (WEEE, ELV, solid urban waste and industrial waste) .

§         Analysis of the product life cycle, from the cradle to the grave, through the use of Life Cycle Assessment (LCA) methodology. In particular the Life Cycle Analysis of the reverse supply chain of Electrical and Electronic Apparatus is considered, in the light of the recent European Directive (2002/95/CE; 2002/96/CE) for the disposal of WAEE (Waste of Electrical and Electronic Apparatus); LCA of renewable energy systems and of an innovative agricultural machines are conducted.

§         Risk evaluation in industrial safety management and the introduction of innovative techniques for the risk measurement.

§         Balancing of manual assembly lines.

§         Lean Manufacturing and Lean-Agile production.

§         Feasibility and efficiency analysis of energy co-generation plant.

§         Package design and warehouse capacity.

§         Scheduling with optimization of set up time, under constraints of resources and materials.

§         Analysis of inspection time and test activities in made-to-order production

§         Location-allocation problem

Supply Chain Management

Supply chain management is a topics of great interest in industrial field. The features of particular interest are: the study of supply chain performance index, the modularization and standardisation of the product and of the production process, the group technology. The state of the art about the clustering methods permits to compare and to analyse new methods.

Risk evaluation

Risk assessment constitutes a critical phase of the safety management process. It basically consists of evaluating the risks involved in the execution of working activities, so as to provide the managers with information suitable to address intervention measures. The most important activity in risk assessment is the risk evaluation task but, despite its importance, national and international regulations have never formalized a standard methodology for addressing it, leaving companies complete freedom to adopt the approach they consider appropriate. As a consequence, companies generally settle on the use of simple methodologies which frequently are not able to emphasize all the main aspects affecting risk in the workplace and to produce a precise ranking of hazardous activities. The research concern the definition of a new methodology for risk evaluation with the aim to overcome limitations of the classical approaches. In particular, new factors are introduced to take into account effects of human behaviour and environment on risk level, other than the classical injury magnitude and occurrence probability of an accident. The proposed methodology also integrates an estimative approach based on the fuzzy logic theory, which permits more coherence in the evaluation process, producing a very suitable final rank of hazardous activities.

Assembly line balancing

A new heuristic for solving the assembly line re-balancing problem has been studied. The method is based on the integration of a multi-attribute decision-making procedure, named ‘‘Technique for Order Preference by Similarity to Ideal Solution'' (TOPSIS), and the well-known Kottas and Lau heuristic approach. The proposed methodology does not focus on the balancing of a new line, rather it takes into account the more interesting current industrial aspect of rebalancing an existing line, when some changes in the input parameters (i.e. product characteristics and cycle time) occur. Hence, the algorithm deals with the assembly line balancing problem by considering the minimization of two performance criteria: (i) the unit labour and expected unit incompletion costs, and (ii) tasks re-assignment. Particularly, the latter objective addresses the problem of keeping a high degree of similarity between previous and new balancing, in order to avoid costs related to tasks movements: operators training, product quality assurance, equipment installation and moving.

Reverse logistics e LCA (Life Cycle Assessment)

The recovery, recycle and remanufacturing of a product at the end of its life is recently receiving much attention, due to the growing interest in the reverse supply chain. Greater attention to the environment, the development of waste regulations and competition in industry as regards product recovery lead to the creation of reverse logistics networks. This research deals with the evaluation of the environmental and social impact of the reverse supply chain, through the use of Life Cycle Analysis methodology, the results of which can be used for policy and strategy decision-making. This research investigates the reverse supply chain of electrical and electronic equipment (RAEE) and in particular it concerns the life cycle assessment of an household refrigeration, in order to analyze the environmental and economical impact of its closed supply chain.

Package design

Strategic reasons have led companies to keeping warehouses, such as providing inventories for rapidly satisfying changeable customers demand, along with protecting against unexpected delays in the manufacturing process. However, warehouses involve costs, due to both their construction and their management. Hence, the optimal saturation of the available storage space is an important issue to be pursued. Since packages dimensions and features strictly influence pallet loading configuration, which affects warehouses capacity, in this paper an algorithm for concurrent package and warehouse design in accordance with the design for logistics principles is presented. Particularly, the case of random storage policy is considered, as a common method to manage warehouses.


Flow-shop systems with machine bypass represent production approaches currently widely adopted in several industrial fields (i.e. electronics and belt industries). As a consequence of differences in the manufacturing process, in those systems, jobs are not forced to stop by each machine. Moreover, if a job does not need processing on a machine, it can skip that machine and the very job eventually residing there. A new heuristic for solving the flow-shop scheduling problem with machine bypass is studied. The algorithm is able to manage several scheduling performance measures, finding a set of non-dominated solutions representing the Pareto front. The heuristic integrates a priority rule and a local search procedure with a Multi Attribute Decision Making (MADM) technique so as to drive the search direction towards good trade-off solutions.

Location-allocation problem

The design and management of a multi-stage production/distribution system is one of the most critical problem in logistics and in facility management. This manuscript deals with the so called facility location-allocation problem, i.e. with the simultaneous decisions regarding the design, management, and control of a distribution network. In particular the logistic problem object of this study deals with the determination of the number of facilities (e.g. production plants, warehousing systems, distribution centers DCs, etc.), the choice of their locations and the assignment of customers demand to them, incorporating also tactical decisions regarding inventory control, production rates and service level determination.

The purpose is to design, test, and compare innovative cost-based models and solutions for the dynamic (i.e. multi-period) location allocation problem (LAP) with safety stock levels determination and customer service level optimization. An experimental analysis conducted on an industrial application is presented and discussed.