a tco model for supporting the configuration of industrial plants

Abstract In the current industrial context, where processes are extremely flexible to meet the changes of the market demand, the traditional strategies for managing the design and investment of industrial assets are too restrictive. Indeed, such strategies just consider the procurement price of an asset rather than its lifecycle cost. In this framework, the paper proposes a Total Cost of Ownership (TCO) model that can be adopted in B2B context for establishing the best asset configuration and procurement strategy by considering its CAPEX and OPEX. Such a TCO model has been implemented into an Enterprise Application Software for supporting the TCO evaluation. The presented model and software tool have been applied within an Italian food company for supporting the assets investment management

A Multi-objective Design Approach to Include Material, Manufacturing and Assembly Costs in the Early Design Phase

AbstractConceptual design is a crucial activity in the product development process. The design freedom must consider a trade-off analysis among several aspects such as assembly, manufacturing, and costs. The goal of this approach is to define a multi-objective design approach for the determination of feasible design options. The approach is grounded on the concept of functional basis for the analysis of product modules and the theory of Multi Criteria Decision Making (MCDM) approach for the assessment of the best design option. A complex product (tool-holder carousel of a machine tool) is used as a case study to validate the approach

analytical cost estimation model in high pressure die casting

Abstract The present paper aims at the definition of an analytical model for the cost estimation of the High Pressure Die Casting (HPDC) process. The model is based on two main pillars: (i) knowledge formalization and (ii) cost estimation algorithms. The novelty of this approach is the link between the analytical model (algorithms) and the geometrical features of the product under development. The relationship between geometrical features and cost items gives an accurate result in terms of cost breakdown, supporting designers for the application of Design-to-Cost rules in HPDC sector

Using engineering documentation to create a data framework for life cycle inventory of welded structures

Abstract Welding is considered an energy-intensive manufacturing system and it represents one of the most impacting construction process. The paper aims to define a structured data framework for life cycle inventory of a welding process starting from engineering and design documentation. The use of design documentation allows to perform robust LCA analysis which permits to compare the environmental performances of the most widely used welding technologies early in the design process. The necessary information to fill the data framework can be retrieved by available documentation developed in the preliminary design phase allowing to anticipate the life cycle analysis before the construction phase. A ship hull structure designed to be manufactured by the use of GMAW and GTAW welding processes has been analyzed as case study. The use of data framework facilitates the inventory phase creating a consistent and robust inventory for LCA

using design geometrical features to develop an analytical cost estimation method for axisymmetric components in open die forging

Abstract Hot forging is an industrial process where a metal piece is formed through a series of dies which permanently change the shape of the part. Open-die forging is a particular type of hot forging in which the used dies are generally flat and the part to be formed has a simple shape. Manufacturing cost estimation is a well-debated topic, especially for traditional manufacturing technologies. However, only few models are available in scientific literature for the open-die forging process. This lack is due to the complexity of the process, characterized by a low level of automation and a high degree of expertise required to develop the process. The paper proposes an analytical model for the cost estimation of axisymmetric components realized using open die-forging. The model uses as input the geometrical features of the part (e.g. dimensions, shape, material and tolerances), and gives as output: (i) the time required for the process development, (ii) the amount of material needed for the part processing and, (iii) the forging machine size/type, from the cutting of the billet to the piece deformation. Two cylindrical discs have been analysed for validating the proposed cost estimation model. The case studies show that the cost models give an accurate result in terms of cost breakdown, allowing the designer a quick calculation of process costs

analysis of the requirements of an early life cycle cost estimation tool an industrial survey

Abstract Cost estimation is a critical issue for many companies concerning both offers generation and company strategic evaluations. In this paper, a framework for early cost estimation has been proposed to some firms for an assessment of its main features. The aim of the industrial survey is to promote a discussion on the needs and the expectations regarding cost estimation in order to obtain feedbacks to be addresses in the implementation of a software tool. Gather data has led to a ranking of the main characteristics the tool should have

PARAMETRIC COST MODELLING OF COMPONENTS FOR TURBOMACHINES: PRELIMINARY STUDY

AbstractThe ever-increasing competitiveness, due to the market globalisation, has forced the industries to modify their design and production strategies. Hence, it is crucial to estimate and optimise costs as early as possible since any following changes will negatively impact the redesign effort and lead time.This paper aims to compare different parametric cost estimation methods that can be used for analysing mechanical components. The current work presents a cost estimation methodology which uses non-historical data for the database population. The database is settled using should cost data obtained from analytical cost models implemented in a cost estimation software. Then, the paper compares different parametric cost modelling techniques (artificial neural networks, deep learning, random forest and linear regression) to define the best one for industrial components.Such methods have been tested on 9 axial compressor discs, different in dimensions. Then, by considering other materials and batch sizes, it was possible to reach a training dataset of 90 records. From the analysis carried out in this work, it is possible to conclude that the machine learning techniques are a valid alternative to the traditional linear regression ones

The Holocene Evolution of the Volturno Coastal Plain (Northern Campania, Southern Italy): Implications for the Understanding of Subsidence Patterns

In the Mediterranean area, several alluvial coastal plains, developed after the Holocene transgression, are affected by subsidence. The Volturno alluvial‐coastal plain, along the eastern Tyrrhenian Sea (southern Italy) is characterized by subsidence rates determined through InSAR data analysis and ranging between 0 and <−20 mm/yr in an area of about 750 kmq across the Volturno River. Inside this area, the pattern of subsidence shows sites with apparently anomalous localized subsidence. To understand the driving mechanisms of this process, a lithostratigraphic reconstruction was provided focusing on the spatial distribution of the horizons considered weak by a geotechnical point of view; then, the subsidence map was overlain spatially with geological data in a Geographic Information System (GIS) environment. The spatial analysis highlighted the major ground deformation occurring within the outer boundary of the incised paleo‐valley, corresponding to the Holocene alluvial/transitional filling that overlies a compaction‐free Pleistocene basement. Inside this general trend, differential compaction was detected corresponding to the thick occurrence of clay and peat deposits, suggesting that the subsidence rate registered in the plain are due in part to the consolidation of primary settlements of soft and compressible soils that characterize the subsoil of these areas, and in large part to the secondary consolidation settlements

Life Cycle Assessment of Home Smart Objects: Kitchen Hood Cases

Abstract Promoting a more sustainable and energy-saving economy is one of the main goal of the European Community. In this context, home appliance manufacturers are researching and developing more efficient and sustainable products. Home automation and smart objects, by implementing specific energy management strategies, can significantly reduce energy waste. This paper aims to investigate the benefits offered, in terms of environmental impacts, by a smart system for kitchen air treatment. The system is composed by two inter-connected smart devices: a kitchen hood and an additional aspiration system able to assure a constant indoor comfort minimizing energy consumption and heat losses. Three different configurations were analyzed and compared: conventional extractor kitchen hood, smart extractor kitchen hood, and smart filtrating kitchen hood with smart additional aspiration system. Results show that in comparison with a traditional hood, products equipped with smart devices present lower environmental impact, due to the optimization of their energy consumptions

Plasma Exosome MicroRNA Profiling Unravels a New Potential Modulator of Adiponectin Pathway in Diabetes: Effect of Glycemic Control

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