1,354,788 research outputs found
Folengo 1521 Toscolana from Portioli Aug 2011
No full textThis is a PDF I made to aid in navigating the 1521 Baldus based on the 2 vol edition by Attilio Portioli (1882-9
DynABlock_2D: An optimization-based MATLAB application for rocking dynamics, nonlinear static and limit analysis of masonry block structures
No full textDynABlock_2D is a standalone MATLAB® application for rocking dynamics, nonlinear static and limit analysis of masonry block structures under seismic actions and support movements. The software was designed in order to provide an integrated tool for the different types of analysis recommended in technical standards and commentaries on the assessment of failure mechanisms in historic masonry structures. The objective of this paper is to describe the architecture, the main functionalities and the general form of the optimization-based formulations implemented in the code for the different types of analysis. Masonry is represented as an assemblage of rigid blocks interacting at no-tension frictional contact interfaces, with elastic or rigid behavior. A simple .xls file is used for the input of mechanical parameters and loading conditions related to the analysis types. CAD .dxf files are used for the generation of geometric models. Efficient solvers available in the literature are used for the optimization problems, involving short CPU times to obtain a solution. Examples of applications to arches and arch on buttresses are presented to illustrate the capabilities and computational efficiency of the developed software
Supply chain planning: a quantitative comparison between Lean and Info-Sharing models
Get PDFBoth practitioners and scientists recognise importance of supply chain planning (SCP) for improving supply chain (SC) effectiveness and efficiency. Although many SCP policies have been developed in past decades, the debate on the best SCP model is still an open issue. This article compares Lean and Info-Sharing approaches as SCP models, with the aim of allowing a better understanding of pros and cons of each of them and to identify under which condition Info-Sharing is better, and when, on the contrary, Lean is better. To complete this objective, a broad simulation study has been carried out. The results show that Lean Supply Chain Planning model leads to huge inventory saving but, on the other hand, it requires greater transportation efforts than information-sharing-based SCP model. These opposite outcomes do not clarify which models is more efficient but, a set of indexes has been developed in order to solve the gap created by these discordant indications. Managers can use the proposed indexes to position their supply chain in the proposed multi-dimensional space, and see whether info-sharing or Lean is the best for them. A few examples of the use of the set of indexes and the results of the research are presented at the end of the article
Forward production management system, a new way of approaching the production planning & scheduling problems
No full textInvestigating the contribution of the lean approach for a sustainable supply chain
No full textPurpose Due to the increasing demand for integrating sustainability issues within business, also manufacturing Supply Chains are paying more attention to improve their performance in terms of the Triple Bottom Line and of the three Ps ( People, Profit and Planet). Lean Approach is one of the most known methods to reduce inventories and wastes (Ohno, 1998; Womack and Jones, 1996). Such wastes reduction impacts directly on the companies' costs but, at the same time, may positively impact also People and Planet. Nonetheless, the potential of Lean Approach in improving Supply Chain sustainability is still far from being clearly analysed. Design/methodology/approach Out of the five principals identified by Womak and Jones, in this paper we want to focus on one of the most relevant distinctive element of the Lean Approach: the flow. In order to analyse the impact of such element, we modelled a complex Supply Chain, composed by three echelons and between one and four nodes for every echelon. The main performance indicator measured are the inventory level (t! hat is linked to profit and to energy consumption) and number of deliveries( that is linked to fuel consumption, air pollution and costs). Originality/value The contribution of this paper to the body of knowledge is three fold. The first contribution is the quantitative analysis of the performances simulating a complex Supply Chain. Davis et. al (2011) show that in existing literature there are very few studies that analyse a Supply Chain composed by more than 2 echelons. The second contribution in this paper is the analysis of a Supply Chain with capacity constrains at all the nodes. Davis et. al (2011) highlight that in the existing literature almost none research study simulates a Supply Chain with capacity constrains in more than one echelon. The third contribution is a better understanding of how Lean Approach can improve Supply Chain sustainability and to measure the related performances. In particular the paper analyses the improvement in term of Profit and Planet impact. The research study has been carried out under different conditions of demand variability in order to test the significance of the results under different customer demand conditions
Lean Implementation in Service Companies
No full textService companies have been implementing Lean only in recent years. In this research three third party logistic companies and seven companies of the financial sector have been thoroughly interviewed and showed a few interesting aspects on the way they implemented Lean. They are implementing Lean in high volume low variety processes and focus on back office activities, which are most similar to manufacturing. Focus on flow, releasing real pull systems and attention to pacing the flow are the aspects that have been less developed and considered not applicable -or not worth applying- in services. © 2010 IFIP International Federation for Information Processing
Lean healthcare. An experience in Italy
No full textIn this paper we present the experience of a lean implementation in a Hospital. It all steamed out from a need to cut cost, and the focus on inventory reduction. The methodology adopted and the peculiarities of an implementation in a hospital are presented. A strong reduction in inventory has been achieved but, more important, broken processes which lead to excessive inventories have been identified so giving the possibility to remove the root causes and avoid having the problem again. Finally, one of the best results has been to make people in the hospital see differently about materials management activities: best and faster results, with less effort, are not achieved by batching (e.g. ordering 3 weeks consumption of a medicine needed) rather by standardizing activities and levelling orders and activities throughout the week (e.g. order every day all medicines consumed). © 2008 International Federation for Information Processing
An enhanced loading model for the probabilistic workload control under workload imbalance
No full textLoad-oriented manufacturing control (LOMC), a well known probabilistic approach to workload control, is based on limiting and smoothing workload using one static parameter for each workcentre, called load limit (LL). The value of this parameter is set by the shop managers based on the planned lead time at each workcentre. In this paper the use of LL is shown to be inappropriate for the smoothing of workloads when the workload is not sufficiently balanced. We propose to enhance the LOMC model by introducing two sets of parameters:
(i) limiting parameters (LPs), that are statical parameters of the workcentres, set by the shop managers. LPs are used to limit the workload released to the shop;
(ii) smoothing parameters (SPs), that are dynamical parameters of the workcentres, computed as a function of their real workload. SPs are used to smooth the jobs workload over downstream workcentres.
A simulation model was used to compare the enhanced model, based on two parameters sets, with the traditional LOMC model, based on a single parameter set. The simulation runs were earned out with different conditions of due-date assignments, dispatching rules and production mix. The statistical analysis performed on experimental results confirmed that the enhanced model achieves significantly better due dates under unbalanced workload conditions
Explainable Artificial Intelligence in Manufacturing Operations: A Bibliometric Analysis
Get PDFThis paper presents a bibliometric analysis of explainable artificial
intelligence (XAI) within the manufacturing sector, with a focus on the critical
areas of quality, maintenance, and production. Despite the increasing integration
of XAI in industrial applications, a bibliometric exploration of its impact across
these specific dimensions remains uncharted. Our study fills this gap by employing
bibliometric methods to map the landscape of XAI research in manufacturing,
analyzing publication patterns and thematic evolutions. Understanding this landscape
is crucial, as it not only highlights the current state and trajectory of XAI
applications in manufacturing but also identifies key areas where further innovation
and investigation can significantly enhance efficiency, transparency, and
decision-making processes in the industry. Utilizing the Bibliometrix R-package
and data from the Scopus database, we analyze 107 publications from 2019 to
2024.We chart the intellectual trajectory of XAI, delving into predominant themes
and observing a research progression from foundational machine learning to its
sophisticated applications, culminating in Industry 4.0 innovations. The analysis
reveals an academic landscape where explainability is increasingly intertwined
with the technological advances of smart manufacturing, spotlighting key topics
and their evolution that reflect the field’s dynamic nature. This investigation offers
a novel lens on the bibliometric trends shaping the development of transparent,
intelligent systems within the manufacturing sector
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