A reference model for SMEs understanding of industry 4.0

Industry 4.0 is the largely debated fourth industrial revolution. However, a gap still existing in disseminating its principles in SMEs environment. Reference systems, namely Reference Architecture and Reference Model, seem to foster the actual implementation of system compliant with principles of Industry 4.0. Hence, a Reference Model is presented to cope with the need for a reference system that can be easily understood by SME managers, and can vouch for realization of Smart Factories of Industry 4.0

Defining accurate delivery dates in make to order job-shops managed by workload control

Workload control (WLC) is a lean oriented system that reduces queues and waiting times, by imposing a cap to the workload released to the shop floor. Unfortunately, WLC performance does not systematically outperform that of push operating systems, with undersaturated utilizations levels and optimized dispatching rules. To address this issue, many scientific works made use of complex job-release mechanisms and sophisticated dispatching rules, but this makes WLC too complicated for industrial applications. So, in this study, we propose a complementary approach. At first, to reduce queuing time variability, we introduce a simple WLC system; next we integrate it with a predictive tool that, based on the system state, can accurately forecast the total time needed to manufacture and deliver a job. Due to the non-linearity among dependent and independent variables, forecasts are made using a multi-layer-perceptron; yet, to have a comparison, the effectiveness of both linear and non-linear multi regression model has been tested too. Anyhow, if due dates are endogenous (i.e. set by the manufacturer), they can be directly bound to this internal estimate. Conversely, if they are exogenous (i.e. set by the customer), this approach may not be enough to minimize the percentage of tardy jobs. So, we also propose a negotiation scheme, which can be used to extend exogenous due dates considered too tight, with respect to the internal estimate. This is the main contribution of the paper, as it makes the forecasting approach truly useful in many industrial applications. To test our approach, we simulated a 6-machines job-shop controlled with WLC and equipped with the proposed forecasting system. Obtained performances, namely WIP levels, percentage of tardy jobs and negotiated due dates, were compared with those of a set classical benchmark, and demonstrated the robustness and the quality of our approach, which ensures minimal delays

A meta-analysis of industry 4.0-related technologies that are suitable for lean manufacturing

Industry 4.0 and lean production are two key topics in manufacturing in the last decades, and they have attracted a great interest both from practitioners and researchers, as it is testified by the great number of studies and projects on those two topics. The diffusion of lean principles has revolutionized the industrial context, both from a manufacturing and from a logistics point of view. Several studies suggest that the right way to achieve the main goals of lean, i.e. reducing wastes and increasing value through the five concepts that aim at perfection, lies in the integration of physical machines and electronic devices through networks of sensors and software to forecast, plan, manufacture, and control products in a ‘digitised’ way. It is generally agreed that the digitisation of firms needs the adoption of key enabling technologies. What is not clear is which of these key enabling technologies are ‘lean enablers’, in the correctly redesigned business processes of a lean organisation. The objective of this article is to identify and analyse which key enabling technologies can be considered in a lean-oriented future state process or, alternatively, which other context of application is suitable for those technologies. The analysis is based on published literature, and it makes use of a quantitative systematic method known as meta-analysis, aimed at identifying future topics and research trends concerning Industry 4.0, its key enabling technologies and their implementations as possible enablers of lean thinking and lean manufacturing

Preliminary study on mini-modus device designed to oxygenate bottom anoxic waters without perturbing polluted sediments

The Tangential Guanabara Bay Aeration and Recovery (TAGUBAR) project derives its origins from a Brazilian government decision to tackle the planning and management challenges related to the restoration of some degraded aquatic ecosystems such as Guanabara Bay (state of Rio de Janeiro), Vitória Bay, and Espírito Santo Bay (state of Espírito Santo). This was performed by using the successful outcomes of a previous Ministry of Foreign Affairs and Directorate General for Cooperation and Development (i.e., Direttore Generale alla Cooperazione allo Sviluppo, MFA– DGCS) cooperation program. The general objective of the program was to contribute to the economic and social development of the population living around Guanabara, Vitória, and Espírito Santo Bays, while promoting the conservation of their natural resources. This objective was supposed to be achieved by investing money to consolidate the local authorities’ ability to plan and implement a reconditioning program within a systemic management framework in severely polluted ecosystems such as Guanabara Bay, where sediments are highly contaminated. Sediments normally represent the final fate for most contaminants. Therefore, it would be highly undesirable to perturb them, if one wishes to avoid contaminant recycling. In this context, we explored a bench-scale novel technology, called the module for the decontamination of units of sediment (MODUS), which produces an oxygenated water flow directed parallel to the sediment floor that is aimed to create “tangential aeration” of the bottom water column. The purpose of this is to avoid perturbing the top sediment layer, as a flow directed toward the bottom sediment would most probably resuspend this layer. Three kinds of tests were performed to characterize a bench-scale version of MODUS (referred to as “mini-MODUS”) behavior: turbulence–sediment resuspension tests, hydrodynamic tests, and oxygenation–aeration tests. In order to understand the functioning of the mini-MODUS, we needed to eliminate as many variables as possible. Therefore, we chose a static version of the module (i.e., no speed for the mini-MODUS as well as no water current with respect to the bottom sediment and no flume setting), leaving dynamic studies for a future paper. The turbulence tests showed that the water enters and exits the mini-MODUS mouths without resuspending the sediment surface at all, even if the sediment is very soft. Water flow was only localized very close to both mouth openings. Hydrodynamic tests showed an interesting behavior. An increase of low air flows produced a sharp linear increase of the water flow. However, a plateau was quickly reached and then no further increase of water flow was observed, implying that for a certain specific geometry of the equipment and for the given experimental conditions, an increase in the air flow does not produce any reduction of the residence time within the aeration reactor. Oxygenation–aeration tests explored three parameters that were deemed to be most important for our study: the oxygen global transfer coefficient, KLa; the oxygenation capacity, OC; and the oxygenation efficiency, OE%. An air flow increase causes an increase of both KLa and OC, while OE% decreases (no plateau was observed for KLa and OC). The better air flow would be a compromise between high KLa and OC, with no disadvantageous OE%, a compromise that will be the topic of the next paper

Enhancing intangible cultural heritage for sustainable tourism development in rural areas: the case of the “Marche food and wine memories” project (Italy)

In the context of increasing interest in the contribution made by culture to the implementation of the goals and targets of the 2030 Agenda for Sustainable Development, the present research investigates how intangible cultural heritage (ICH) can help sustainable tourism in rural areas. Adopting a case study methodology, we analyzed the “Marche Food and Wine Memories” project, an initiative promoted by CiùCiù, a winery based in Offida, a small village in the Marche region (Italy). After discussing the strategies and tools adopted to enhance rural heritage, the analysis focuses on the involvement of local communities and businesses in the different phases of the process. The research aimed to understand: (1) the project’s current contribution to the economic, social, cultural and environmental dimensions of sustainability; and (2) its strengths and weaknesses and possible future improvements. The research findings confirm the high potentialities of ICH-based initiatives for sustainable tourism development in rural areas, but also reveal the need to improve the level of networking with local businesses and highlight gaps in marketing and management skills. Finally, the results provide policy and managerial implications for similar ICH-based initiatives

An Exploratory Research on Adaptability and Flexibility of a Serious Game in Operations and Supply Chain Management

Serious games (SGs) in industrial engineering education are an established topic, whose implementations are continuously growing. In particular, they are recognized as effective tools to teach and learn subjects like Operations and Supply Chain Management. The research on SGs, however, is primarily focused on displaying applications and teaching results of particular games to achieve given purposes. In this paper, we provide an exploratory research on the flexibility and adaptability of a specific SG to different target groups and students’ needs in the field of operations and supply chain management. We first provide an overview of the SG and introduce its mechanics. Next, we explain how the mechanics has been implemented, by means of a set of parameters and indicators. We report the results of two different game sessions, played by a class of bachelor’s degree students at different levels of difficulty, which were achieved by altering some specific game parameters. By comparing the Key Performance Indicators (KPIs) in the two sessions, we report and discuss the consequences of the modified game parameters, in terms of impact on the difficulty level of the SG measured by the indicators. Experimental results match with our hypothesis, since the increased level of difficulty of sourcing and delivery times only deteriorates the related subset of indicators in the harder game session, without altering the remaining KPIs

A Cooperative and Competitive Serious Game for Operations and Supply Chain Management – Didactical Concept and Final Evaluation

Abstract—In the last decades, Serious Games (SGs) have been implemented more and more in the engineering field, for both educational and professional purposes. The interest in digital SGs has increased even more in the last years of covid-19 pandemic, due to their location-independent availability and to the possibility to use SGs to apply theoretical knowledge and involve the users in a challenging way. Since the beginning of project Open Digital Laboratory For You (DigiLab4U) in October 2018, the University of Parma started to develop a brand-new SG with a strong focus on Operation and Supply Chain Management. The game has been studied as a multiplayer cooperative and competitive game which projects learners in a fictitious universe where multiple companies compete against each other in the same market. The realization of the game started from the definition of the didactical concept, underwent the user acceptance testing phases (alpha and beta tests) up until reach the release and the corresponding final evaluation feedback