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This paper introduces and opens the debate on the role of "product-driven control" and, on a broader level, Intelligent Manufacturing and Services Systems in sustainable development and circular economy. First, the concept of IMS and perspectives relating to future industrial and economic systems, as well as their expected advantages and the challe...
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... example, some components of a television set could be inter- esting materials/components useful for others usages. So, to control such systems according to the three pillars of sustainable development, the indicators system ( Figure 3) leads to follow initiated actions and help to orienta- tion determination. The famous "Cradle to Cradle" book describes some implementa- tions of such a circular economy and proposes to develop indicators and relevant ac- creditations such as the C2C. ...
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... researches concerning IMS applications on shop-floors and supply chains and leading to more industrial efficiency are relevant. But, they address only one pillar of the SD (the economic one) and note that, in this domain, the performance is measured according the lowest level of the 3 pillars (eco- nomic, environmental and societal pillars, see fig. 3) ! Finally, we have observed that very few works in the IMS community concern effectively the SD in industry with a will to balance the attention paid to the three pillars. Some production management research communities, such as in the IFIP, pay attention to SD but still with few con- siderations paid to link this with IMS approaches. ...
Context 3
... to control such systems according to the three pillars of sustainable develop- ment, a system of indicators ( Figure 3) will help develop new actions and establish new fields of research. The famous "Cradle to Cradle" (C2C) book describes some implementations of such a circular economy and recommends the development of indicators and relevant accreditations such as C2C. ...
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... they only address the economic pillar of SD. Furthermore, in this do- main, performance is measured according the lowest level of the 3 pillars (eco- nomic, environmental and societal pillars, see figure 3)! Finally, we have observed that very few studies in the IMS community actually concern SD in industry with a will to pay equal attention to the three pillars. ...
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Sustainable development will become important issues for many fields, including production, industry, and manufacturing. In order to achieve sustainable development, industry should be able to perform of sustainable production processes and environmentally friendly. Therefore, there is need to minimize the energy demand in the machining process. Th...
Citations
... Chaque tâche ou Job, implique soit une entité physique indivisible appelée « produit », soit un « lot » lorsque plusieurs produits identiques sont regroupés (Lopez et al. 2010). Selon le nombre de machines candidates pouvant réaliser l'opération, le problème d'ordonnancement peut être décomposé en deux sous-problèmes que sont l'allocation de la machine et le séquencement des opérations (Chaudhry et al. 2016;Trentesaux 2013). L'allocation des machines consiste à allouer une machine au traitement de chaque opération, tandis que le séquencement des opérations consiste à organiser l'ordre dans lequel ces opérations vont être exécutées (Gao et al. 2015). ...
Avec la quatrième révolution industrielle que nous vivons actuellement, un ordonnancement efficace des opérations de production est plus que jamais indispensable à la pérennité des industries 4.0. Si la flexibilité des FMS (Flexible Manufacturing System) procure des avantages face aux environnements incertains, elle implique un accroissement de la complexité des fonctions de pilotage. Les architectures distribuées semblent apporter l’agilité et la réactivité nécessaire pour remédier à cet inconvénient. Elles souffrent néanmoins de limitations, celles-ci étant essentiellement liées au phénomène de myopie décisionnelle. Ainsi, toute la difficulté du pilotage dynamique des systèmes de production cyber-physiques réside dans l’équilibre à trouver entre une réaction rapide face aux perturbations, et le maintien d’une performance globale satisfaisante. Cette thèse vise à proposer un modèle original applicable à un grand nombre de configurations d’atelier de production (i.e. flowshop, jobshop, etc.). En plus de la prise en charge d’évènements dynamiques, le modèle proposé intègre des contraintes majeures telles que les familles de produits, l’interopérabilité et les temps de configuration. L’architecture hétérarchique proposée assure un pilotage par les produits exclusivement. Ces derniers sont intelligents et autonomes. La contribution principale de ce travail de thèse réside dans le développement ? d’une hyper-heuristique qui repose principalement sur des règles d’ordonnancement rapides utilisées par les produits intelligents. Pour contrebalancer les performances globales faibles des produits intelligents, le concept de contexte décisionnel est développé pour améliorer la pertinence des règles sélectionnées. L’hyper-heuristique proposée est basée sur un modèle original d’encapsulation de règles combiné à un outil de simulation réduisant le phénomène de myopie. Des expérimentations sur quatre configurations d’atelier distinctes, 64 instances de scenarios dynamiques différentes, et plus de 30 400 simulations, viennent valider l’intérêt de l’approche proposée.
... Recently, globalization policy eradicates the restriction of market boundaries. The small and medium scale manufacturers are finding it hard to compete with the global large manufacturers, as they are incapable to acclimatize with the newer technologies to process difficult materials, optimize space utilization, and consume less energy (Thomas & Trentesaux, 2014). Another problem is introducing a new product and make it available to consumers at the right time. ...
The vision of Industry 4.0 accentuates the global networks of machines in a smart factory setting capable of autonomously exchanging information and controlling each other. This cyber physical system allows the smart factory to operate autonomously. Fourth industrial revolution or better known as Industry 4.0 (I4.0) is changing the manufacturing industry. However, the change is not limited to manufacturing sector, but also to the field that are linked with it. One of the field that is changing with I4.0 is supply chain. Therefore, it is important to know about the current trends, opportunities, and challenges associated with the advent of this pioneer revolution. This paper explores the supply chain in context of I4.0. Current state of the art of this field, and the future prospects have been investigated in this work. Keywords Industry 4.0, Supply Chain, Cyber-physical system, and Internet of Things (IoT).
... SMSs aim to adapt to new situations using real-time data and big data for intelligent decision making, as well as predicting and preventing failure proactively in real time (Kumaraguru and Morris, 2014), and improving continuous performance (Smart Manufacturing Leadership Coalition, 2011;Davis et al., 2012). Some themes proposed the lifecycle of SMSs (Barkmeyer and Wallace, 2016) and the related methods of SMSs including adaptive critic methods (Shervais et al., 2011) enable SM research and development methods (Helu and Hedberg, 2015), the components of SMSs including services (Thomas and Trentesaux, 2014), multi-stakeholder (Papazoglou et al., 2015), operations planning and control (Thompson, 2014), and reconfigurable technologies (Sanderson et al., 2016). Others often focus on the SMSs' benefits and barriers to adoption, available methods, architecture, and autonomy (Kusiak, 2017;Park and Tran, 2014). ...
In this article, an integrated method is proposed for evaluating the requirements of smart manufacturing systems under the era of Industry 4.0 and Industrial Internet of Things. This method uses systematic research on identifying, classifying, and evaluating the requirements of smart manufacturing systems with uncertainty, multi-users, and multi-disciplines. The results of this article provide a procedure to capture the preferential SMSs-R and the framework of SMSs-R. First, this method provides a comprehensive requirement of smart manufacturing identified by questionnaire survey, document reviews, and the affinity diagram method. Second, the classification of SMSs-R considers the multi-user preference by the fuzzy Kano model. Third, the best non-fuzzy performance and fuzzy analytic hierarchy process method is used for evaluating and ranking the SMSs-R factor to solve the uncertain, vague, and preferential questions. Finally, we validated the effectiveness of the method through a real discrete manufacturing enterprise case.
... Thus, companies need to face the dynamic nature of customer's needs and successfully address them to remain competitive in the market. Consequently, it is crucial to adopt the intelligent manufacturing and services systems (Thomas and Trentesaux 2014). These systems combines all stages of the demand from renewable sources by 2020. ...
The performance of a solid oxide fuel cell (SOFC) depends on appropriate design of the flow field. The basic idea
involves a 3D computational fluid dynamics (CFD) to model the mass and heat flow inside the air and fuel channels. The
main objective of this work is to provide a comprehensive study to compare the performance of ASP-SOFC with a new
flow field design which is based on a sinusoidal flow field. The model is validated using one of the available numerical
results from previous researches. The comparison between the numerical model and the reported results shows very
good agreement under the same conditions. The sinusoidal flow field is examined and compared with single flow field
configuration using ANSYS FLUENT. The obtained results reveal that at an operating voltage, the maximum power
density for sinusoidal flow field and single flow field are 1.43 and 1.35 W/cm², respectively. Also, it is found that the
distribution of velocity and temperature for sinusoidal flow field under various operating voltages leads to a better result
when compared with single flow field one. The distribution of species mass fraction through the anode side were taken
into account. It was found that the sinusoidal flow field provides higher level consumption of hydrogen mass fraction.
The highest value of hydrogen mass fraction consumed in sinusoidal and single flow fields are 68% and 59%,
respectively. Similarly, the highest value of water mass fraction produced for the sinusoidal configuration is 48%
compared with single flow field which is 39%. Finally, the results indicated that the proposed design which is based on a
sinusoidal flow field has better performance comparing with single flow field. The present work would help the
researchers to choose the optimum configuration for their applications to achieve the best possible performance.The study under 0.5V.
... Thus, companies need to face the dynamic nature of customer's needs and successfully address them to remain competitive in the market. Consequently, it is crucial to adopt the intelligent manufacturing and services systems (Thomas and Trentesaux 2014). These systems combines all stages of the life cycle of a product (from development and pre-manufacturing to manufacturing and post-manufacturing) into an integrated platform. ...
Manufacturing industry is and has always been a very critical contributor to the global economy. It helps developing countries to raise their living standards while provide a pathway toward significant innovation and market competitiveness to the advanced and developed countries. Recently, growing concerns about global warming and future of our planet impose a huge amount of political and financial pressure on manufacturing industry to reduce its environmental footprint and provide safer and cleaner workplaces. To address environmental concerns, manufacturing industry must recognize and adopt sustainable development principles and practices in all of its activities. Therefore, development of an integrated intelligent sustainable process becomes an essential step towards achieving this goal. Review of the application of artificial intelligence techniques in different manufacturing processes revealed its capabilities in modeling, monitoring and optimization, with an immediate need in development of an integrated model to include both artificial intelligence and sustainable manufacturing approaches. In the current work, a framework of a new integrated intelligent sustainable process (IISP) is presented in terms of its objectives, methodology, and challenges. It must be noted that implementing such a framework results in cleaner and more sustainable manufacturing processes and pave the way towards a greener future for our planet and ultimately for our next generations.
... "Sustainable Machining", which is a process that achieve sustainability goals, i.e. maximize environmental friendliness, minimize the cost, minimize energy consumption, minimize the wastes, enhanced operational safety, and improved personnel health [28]. "Sustainable Development", which is development that fulfilling the needs of the present generations without compromising in future generations ability to meet their needs [30], [31], [28], [26]. "Sustainable Product and/or Service Development", which is the process of developing products and/or services in all lifecycle stage by using sustainable ways, or it is using a Triple Bottom Line (TBL) context to develop a products and/or services to be more sustainable, i.e. balancing economic, environmental and social aspects [32], [33]. ...
Abstract:
Many organizations over the world considers patent analysis as a useful tool in identifying and acquiring new technologies, understanding the relation between different technologies in order to maximize their profit, evaluating patents' values, monitoring their competitors, managing their R&D portfolio, managing their human resources, licensing in-out technologies, and indicating which firms are about to enter or leave a technology. The objective of this paper is to bring the attention of educational institutions, faculty members, undergraduate students, and the researchers to the importance of the areas of patents and patenting process in engineering education. Review the used patent analysis and patent technology indicators and its applications to identify the potential research gaps. Explain the most recent developments in the patents' offices criteria, patenting principles, investigate sustainability role in the patenting process or patents analysis, and then propose a framework to incorporate sustainability criteria in the patenting process, and patent analysis processes. During this literature review, and after excluding all irrelevant publications, 53 publications reviewed in this paper for the period from 1987 to 2017. Patent system, patent analysis, patent technology indicators, and patenting process topics found to be one of the important and viable information sources, which should be an integral part in undergraduate and postgraduate educational strategic and curriculums' plans. Potential research gaps identified and future work suggested. Authors in this paper proposed a framework to incorporate sustainability concept in the patenting process, and the patent analysis. The proposed framework argue that sustainability criteria should be incorporated simultaneously in the patenting process during patent's application processing along with patenting policies. Moreover, same criteria should be considered during patent analysis. The main limitation of this work that it is provide a strategic view framework. Therefore, future research directions should be focused to derive the right operational methods/models for sustainability criteria incorporation in the patents applications evaluation as well as patent analysis techniques.
... However, they are only explanatory models, which lack practical implementation steps or systems. Theoretical approach used by researchers to present the theoretical description of the sustainability, sustainability indicators, sustainability research literature review, assessment methodologies and future trends, guidelines of creating sustainability reports, review the current international sustainability policies, and set a new sustainability policies on the corporate level or country level [16], [24], [38], [39], [40], [41], [42], [43], [21], [22], [23], [44], [45], [46], [18], [47], and [17]. Service/Product approach is new concept invented in the Environment Unit of Enterprise Ireland by authors D. Maxwell, and R. van der Vorst, (2003)(2004)(2005)(2006) [20], [19]. ...
Abstract -- Manufacturing systems is one of the main pillars of the global economy and there is a continuous effort to make it more advanced, more sustainable, and more user-friendly. Toward this direction, the concept of computer-integrated manufacturing (CIM) invented. CAD-CAPP-CAM-CNC systems’ integration considered as prerequisite for CIM to be exist. Data exchange format was one of the main systems’ integration obstacles due to the lack of standardization, or in other words, lack of effective data exchange format. Therefore, ISO organization started STEP 10303(Standard for the Exchange of Product Data model) project in 1994 to create a generic standard for data exchange on different levels. STEP-NC (or ISO 14649) developed specifically for data exchange between CAD, CAM, CAPP, CNC and other corporate levels. Many researchers stated that STEP-NC format is the future solution to overcome all data exchange obstacles as it has provide a bi-directional information flow and offer the possibility of dynamic changes on the design models. However, attempts to embed STEP-NC format in manufacturing systems still at the early stage. On the other hand, in last three decades, the global warming theory reported and many researchers focused their efforts to study the sustainability concept. The objective of this paper is to prove the novelty of having an integrated system by means of STEP-NC format for data exchange and in same time generating plans by considering sustainability principles. 59 papers reviewed for the period between 2001 and 2017. Authors were able to prove the novelty of the aforementioned approach as well as finding many other research gaps.
... Smart, connected products improve the performance of CE and market approaches with different capabilities including monitoring, control, optimization as well as autonomy [82]. The abilities of IOT to track the products remotely enhance the performance of the system for better quality management, optimization in recycling, producing intelligent products, as well as increasing the availability, gathering, and analyzing of data [81,85]. The utilization of IOT in CE provides also better access to history knowledge case of recovery activities such as refurbish, dismantle, and dispose [85]. ...
... The abilities of IOT to track the products remotely enhance the performance of the system for better quality management, optimization in recycling, producing intelligent products, as well as increasing the availability, gathering, and analyzing of data [81,85]. The utilization of IOT in CE provides also better access to history knowledge case of recovery activities such as refurbish, dismantle, and dispose [85]. ...
Demands towards sustainable choices in business
operations are increasing and more influential solutions are
required. This means changes and development of innovations
that allow the creation of new markets and value networks by
combining new set of sustainability -driven values- finding
disruptive innovations for sustainability. Increased digitalization
is seen to provide multiple value creation mechanisms and
possibilities by enhancing the more effective use of resources. The
emergence of IOT (Internet of Things) has connected objects (e.g.
physical devices, buildings and vehicles) to existing network of
information. IOT can work as a trigger for creation of new
markets and value networks by connecting existing information,
networked economies and societies together in a new way.
Expectations towards IOT solutions are high and they are
expected to revolutionize the business markets by promoting the
emergence of disruptive innovations for sustainability e.g. in
healthcare and transportation solutions, smart cities, intelligent
energy services and circular economy. The study focuses on
reviewing the impact of IOT in developing these innovations
aiming to foster disruptive sustainable change.
... For example, a low-cost and low-consumption pallet equipped with Arduino, Zigbee, batteries, and steering actuators was developed on an Elcom-based conveyors system [30], a pull control based on the RFID associated with products was tested [29], and a control solution for manufacturing systems based on the WSN technology was proposed to explore new ways of improving the embedded intelligence on holonic entities [56]. 3) IMS² contribution to the sustainability general topic Sustainability in manufacturing can be dealt with in many ways [20]. The main focus that the WG IMS² treated is relative to the definition of choreographies able to decrease the environmental impact of manufacturing [75], [68], [7] (i.e. ...
... Then, a holonic-based production activity control (PAC) replaced a hoist scheduling problem solver in an aeronautic parts surface treatment line [76], in the same PAC domain a re-scheduling approach was proposed for the car supply industry [31], a Holonic Manufacturing Execution System was implemented in a Latin-American car glasses manufacturer [78], the holonic principles were deployed to monitor a complex transportation system [80] with Bombardier who led the SURFER project with the objective of a {Machine; C4; Agility} system, the dynamic behavior of the scheduling procedure for maintenance tasks in petroleum industry was enhanced by the use of heterarchical approaches [77], and a scheduling of a production line using the AHP method was tested in vascular prostheses industry [20]. To help in decision making processes in Just in Time contexts, several intelligent approaches were proposed, such as "active kanbans" [49] or reactive demand flow technology systems [33], [70] for line reconfiguration towards a {Shop-floor; C3; Agility} system, and also multicriteria decision aid methods taking into account contradictory interests in a {Shop-floor; C3; Agility} system [61]. ...
... Environmental concerns, industrial ecology, diminishing non-renewable resources, stricter legislation and inflated energy costs, increasing consumer preference for environmentally friendly products will foster the development of sustainable and eco-friendly manufacturing systems. Efforts to develop sustainable manufacturing systems must jointly consider products, processes, and systems [7], [20]. In a circular economy, a major function to address in the future is the recyclability phase of the product or of the system. ...
rea in the recent years. A structured national workgroup, called IMS², has emerged in France over the last decade. The aim of this paper is, regarding four highlighted general research topics (namely agility, new technologies, sustainability and industrial dissemination), to synthetize the general research works on intelligent manufacturing and to demonstrate the principal contributions developed within the framework of this national workgroup. After a critical evaluation of the proposed approaches towards alternative solutions, this paper suggests a 2030 roadmap for the workgroup.
... Industrial requirements have clearly evolved from the traditional performance criteria, described in terms of static optimality or near-optimality, towards new performance criteria, described in terms of reactivity, adaptability and visibility. A growing number of industrialists now want control systems that provide satisfactory, adaptable and robust solutions rather than optimal solutions that require several hard assumptions to be met [22, 23]. ...
In this paper, modelling, simulation and verification of multi-agent manufacturing system with application of bio-inspired techniques are addressed. To this end, the new solution of abstract architecture for control and coordination decentralized systems - CODESA is suggested. Centralized architecture suffers from various problems, such as rigidity, scalability, low fault-tolerance or very limited flexibility, agility, energy efficiency and productivity. Prime is concrete application of CODESA in manufacturing domain. The undesirable characteristics of emergent behaviour are the problem to achieve optimization and impossibility to predict future states of the system. CODESA-Prime has been tested by simulations for automatic guided vehicle (AGV) systems guided by magnetic tape in Ella Software Platform.
