Using online simulation in Holonic Manufacturing Systems

Journal homepage: www.elsevier.com/locate/engappaiInternational audienceThis paper deals with the use of online simulation on Holonic Manufacturing Systems. Concepts needed for the use of online simulation in a classical hierarchical system were already defined, the observer being the central one. The behavior's differences between both classes of systems are studied to determine the best way to adapt these concepts to this new environment. In the PROSA reference architecture, staff holons were chosen to welcome the simulation models and the observer. An application on an industrial sized Holonic Manufacturing System is described to demonstrate the validity of the approach

Eco‐Holonic 4.0 Circular Business Model to Conceptualize Sustainable Value Chain Towards Digital Transition

The purpose of this paper is to conceptualize a circular business model based on an Eco-Holonic Architecture, through the integration of circular economy and holonic principles. A conceptual model is developed to manage the complexity of integrating circular economy principles, digital transformation, and tools and frameworks for sustainability into business models. The proposed architecture is multilevel and multiscale in order to achieve the instantiation of the sustainable value chain in any territory. The architecture promotes the incorporation of circular economy and holonic principles into new circular business models. This integrated perspective of business model can support the design and upgrade of the manufacturing companies in their respective industrial sectors. The conceptual model proposed is based on activity theory that considers the interactions between technical and social systems and allows the mitigation of the metabolic rift that exists between natural and social metabolism. This study contributes to the existing literature on circular economy, circular business models and activity theory by considering holonic paradigm concerns, which have not been explored yet. This research also offers a unique holonic architecture of circular business model by considering different levels, relationships, dynamism and contextualization (territory) aspects

Special Session on Industry 4.0

No abstract available

Myopia of service-oriented holonic manufacturing systems: the contribution of an observer

Volume 402Service orientation paradigm is particularly well adapted to distributed manu-facturing systems. The difficulty of such systems' production activity control deals with the knowledge management. Indeed, the knowledge is distributed among each entity, which is able to create, modify or communicate them with oth-er entities. As a matter of fact, any entity cannot have a full up-to-date access to all the data of the system. On the shop floor level, a convenient way to implement service oriented manufacturing systems is to rely on the paradigm of Holonic Manufacturing Systems. This paper introduces the possibility of specializing a re-source holon with the objectives to gather the data from the whole holarchy and make these data available to any holon for a decision making. This holon is thus playing the role of a discrete-event observer. After positioning the service-oriented architectures, the HMS reference architecture PROSA is described, especially in terms of decision making. After the decisions were defined, the problematic of on-line decision making in a HMS is described, and a solution of implementation of the observer and of forecasting tools in the architecture is exposed. Finally, two applications are presented, based on an industrial job-shop

A framework for smart production-logistics systems based on CPS and industrial IoT

Industrial Internet of Things (IIoT) has received increasing attention from both academia and industry. However, several challenges including excessively long waiting time and a serious waste of energy still exist in the IIoT-based integration between production and logistics in job shops. To address these challenges, a framework depicting the mechanism and methodology of smart production-logistics systems is proposed to implement intelligent modeling of key manufacturing resources and investigate self-organizing configuration mechanisms. A data-driven model based on analytical target cascading is developed to implement the self-organizing configuration. A case study based on a Chinese engine manufacturer is presented to validate the feasibility and evaluate the performance of the proposed framework and the developed method. The results show that the manufacturing time and the energy consumption are reduced and the computing time is reasonable. This paper potentially enables manufacturers to deploy IIoT-based applications and improve the efficiency of production-logistics systems

A Combination of Workforce Sizing Plan and Worker Selection Guide with the Holonic Control Paradigm

The Holonic Workforce Allocation Model (HWM) is a dual-level advisory model using the concepts of Holonic Manufacturing Systems (HMS). The quantitative and pre-active level is termed as Workforce Sizing Plan (WOZIP), whereby the number of workers required for a production period can be forecasted. The resultant group of workers, in a case-by-case fashion, are continually assigned to parallel series of production tasks considering the individual skill and task urgency factors, at the qualitative and reactive level called Worker Selection Guide (WOSEG). When developing such an integrated model, four holonic control attributes need to be observed, namely real-time control, event-driven control, intelligent control, and distributed control. These control attributes help ensure the effective and sustainable improvement of factory processes, for which the strengths of and the interactions between holonic elements are discussed in this paper. Keywords: Holonic control, workforce sizing, worker selectio

Algorithm and Simulation of Holonic Worker Selection Guide with Case Study on Task Urgency and Skill Rating

This paper explicates the Worker Selection Guide (WOSEG), that is, a functional branch of Holonic Workforce Allocation Model (HWM). A case study is conducted on reckoning the task urgency and skill rating parameters in a job-shop setting, from which the workforce performance data are acquired. The destined performance measures encompass overdue rate, average skill level, interpersonal and intrapersonal skill deviations, which can be generated via computer simulation. The corresponding simulation model is built with the software of Witness, Visual Basic, and Microsoft Access for the input instruction coding and output analysis purposes. Keywords: Holonic manufacturing, worker selection, algorithm, simulatio

Towards Holonic Academia: The theoretical framework and literature review

The author is interested to develop a holonic model for the management of higher learning institutions. Though the idea of holons or holonic systems introduced by Arthur Koestler in 1967 has been adopted into many fields of study over these decades, it is still rarely attempted on educational management. Such a remarkable gap in past research motivates the author to come up with a practical model called “Holonic Academia” (HOLACA) that can help enhance university processes to survive the greatly challenging industry of higher education. By and large, the major processes within a university encompass strategic planning, operational management, academic research, teaching, and learning. There are four academic facets to be brought together in this particular research, namely psychology, pedagogy, rationality, and relations (2P2R). At the very outset of constructing the HOLACA, a critical review of literature is needed so as to map out the theoretical framework. Keywords: higher education, holonic model, literature revie

Simulation for Product Driven Systems

Due to globalisation, companies have to become more and more agile in order to face demand fluctuations and growing customisation needs. Indeed, the mass production market moves to a mass customization one, which could be defined as the production of a wide variety of end products at a low unit cost. During last years, many efforts have been done in order to improve operating system reactivity (with the Flexible Manufacturing initiative for example), but the manufacturing decision process did not really change, and then doesn't enable to fully make the most of these new operating system skills. Facing these new trends, a lot of new research works are focusing on identification technologies, like Auto-ID, biometry or vision ones. Radio Frequency Identification technology (RFID) represents a quick and safe way to track products, opening the way of linking informational and physical flows, and providing an accurate, real time vision of the shop floor. These new technologies appear like a catalyst to change the fifty years old way of controlling production through traditional MRP² systems