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Mario Lucertini

dblp:25/56 · DBLP profile ↗
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11ranked-venue papers
2as first author
0since 2021 · last 2001
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 5 · 2 first-authorArtificial intelligence and machine learning · 2Systems, architecture and hardware · 2Computer networks · 2Applied, interdisciplinary, general and emerging computing · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
3 papers
Coding theory · 34% Information theory · 34% Mathematical optimization · 14%

Topics — the 4 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory
source coding
0.011994
Compressing inconsistent data · IEEE Trans. Inf. Theory 1994
Algorithms and data structures
dynamic programming
0.011992
Task assignment in pipeline assembly systems · ICRA 1992
Mathematical optimization
discrete optimization
0.011991
Tool handling synchronization in flexible manufacturing cells · ICRA 1991
Mathematical optimization › scheduling
scheduling optimization
0.011991
Tool handling synchronization in flexible manufacturing cells · ICRA 1991

Methods — techniques the papers use, named apart from their topics

information-theoretic measures · 0.0polynomial-time algorithm · 0.0dynamic programming · 0.0synchronization · 0.0optimization modeling · 0.0
YearPublicationVenuePosition
2001 A Polynomial-Time Algorithm for Max-Min Partitioning of Ladders
Ronald I. Becker, Isabella Lari, Mario Lucertini, Bruno Simeone
Theory Comput. Syst.3
1998 Max-min partitioning of grid graphs into connected components
abstract
The partitioning of a rectangular grid graph with weighted vertices into p connected components such that the component of smallest weight is as heavy as possible (the max-min problem) is considered. It is shown that the problem is NP-hard for rectangles with at least three rows. A shifting algorithm is given which approximates the optimal solution. Bounds for the relative error are determined under a posteriori hypotheses. A further shifting algorithm is also given which allows for error estimates under a priori hypotheses and for asymptotic error estimates. A similar approach can be taken with the problem of finding the partition whose largest component is as small as possible (the min-max problem). The case of rectangles with two rows has a polynomial algorithm and is dealt with in another paper. © 1998 John Wiley & Sons, Inc. Networks 32: 115–125, 1998
Ronald I. Becker, Isabella Lari, Mario Lucertini, Bruno Simeone
Networks3
1995 Preface
Mario Lucertini, Giovanni Rinaldi, Antonio Sassano, Bruno Simeone
Discret. Appl. Math.1
1995 Task assignment and subassembly scheduling in flexible assembly lines
abstract
This paper deals with models for flow management problems in flexible assembly systems (FASs). The system consists of a set of machines that must perform the assembly of a number of parts, possibly of different types. Each part type requires a set of operations; the precedence relations among the operations are specified by an assembly tree. Machines are provided with limited-capacity tool magazines and a finite buffer for holding parts. Each machine can be tooled to perform only a particular subset of the operations required by the whole process. One problem is that of finding a feasible assignment of operations to machines and a feasible schedule of the subassemblies in order to minimize the completion time of all of the parts. In this paper, the problem is analysed as a case of pipelined assembly, i.e., when the FAS is characterized by a serial transportation system (flow line) and there exist a dominating path in the assembly tree. We present polynomial-time dynamic programming algorithms for solving the problem for both single-type and multi-type production.>
Alessandro Agnetis, Fernando Nicolò, Claudio Arbib, Mario Lucertini
IEEE Trans. Robotics Autom.4
1994 Compressing inconsistent data
abstract
In a frequent practical situation one possesses inconsistent fragmentary data concerning some industrial process or natural phenomenon. It is an interesting and reasonable task to assess what the most concise way to store or transmit them would be. The authors consider the zero-error case of the problem, i.e., we would like to save all the data incorporating them into the most concise but necessarily alternative consistent data structures. More precisely, we want to find a set of alternatives which requires the minimum total storage place. From the mathematical viewpoint the model is information-theoretic and gives a common framework to deal with many combinatorial problems in the theory of extremal hypergraphs. From the practical viewpoint the interest of the mathematical theory is to produce new information measures capturing the inconsistency in the data.>
János Körner, Mario Lucertini
IEEE Trans. Inf. Theory2
1993 Most Uniform Path Partitioning and its Use in Image Processing
Mario Lucertini, Yehoshua Perl, Bruno Simeone
Discret. Appl. Math.1
1992 Task assignment in pipeline assembly systems
abstract
The authors deal with the problem of part flow management in a class of assembly systems characterized by a serial transportation system connecting the workstations. The system assembles a number of identical units, each requiring a set of operations. Each operation is performed by a workstation and each workstation can perform any operation. The problem consists of assigning the operations to the workstations to maximize some productivity index of the system. Usually, a tree-like precedence relationship exists among the operations (assembly tree). The problem is analyzed for the case in which a dominating path on the assembly tree exists. A polynomial time dynamic programming algorithm is presented for the optimal assignment of operations to workstations.>
Alessandro Agnetis, Fernando Nicolò, Claudio Arbib, Mario Lucertini
ICRA4
1991 Tool handling synchronization in flexible manufacturing cells
abstract
Some optimization models for the problem of tool management in flexible manufacturing cells are presented. The cell considered consists of two machines (working centers) in charge of executing a set of part programs. The tools required by the machining operations are located in a central tool magazine and are moved to the machines by a tool handling system consisting of two shuttles and one robot. The robot picks and places the tools from/in the magazine; each shuttle exchanges the tools with the robot and with the machine. The problem is to synchronize the robot and shuttle moves in order to maximize the cell productivity (minimize the machines' idle time). Two different models are proposed for the situation in which a configuration of tools in the magazine is given and in which a budget for tool purchasing is fixed.>
Alessandro Agnetis, Fernando Nicolò, Mario Lucertini
ICRA3
1990 Fair dissections of spiders, worms, and caterpillars
abstract
Abstract In the present paper we deal with equipartition problems for special classes of trees, i. e., spiders, stars, worms, and caterpillars. We prove that the equipartition problem is NP‐complete for spiders (and, hence, for general trees); on the other hand, we give efficient polynomial‐time algorithms for stars, worms, and caterpillars.
Caterina De Simone, Mario Lucertini, Stefano Pallottino, Bruno Simeone
Networks2
1990 Part routing in flexible assembly systems
abstract
The problem of part routing and scheduling in flexible manufacturing systems is considered with the goal of increasing the throughput. The flexible system considered is strongly characterized by the inclusion of assembly among the manufacturing operations to be performed on a mix of part batches. In particular, the logic structure of some basic decision problems is indicated through a set of combinatorial models. Two basic assembly problems characterized by batches of large and small size, respectively, are analyzed.>
Alessandro Agnetis, Claudio Arbib, Mario Lucertini, Fernando Nicolò
IEEE Trans. Robotics Autom.3
1984 Alternative group relaxation of integer programming problems
Paola Bertolazzi, Claudio Leporelli, Mario Lucertini
Discret. Appl. Math.3