A holonic approach to dynamic manufacturing scheduling

Indexado ISIManufacturing scheduling is a complex combinatorial problem, particularly in distributed and dynamic environments. This paper presents a holonic approach to manufacturing scheduling, which in opposite to traditional approaches, distributes the scheduling functions over several entities, combining their calculation power and local optimization. In this scheduling and control approach, the scheduling mechanism evolves dynamically to combine optimized scheduling, achieved by central entities, and distributed scheduling, improving its responsiveness and robustness

A holonic approach to dynamic manufacturing scheduling

Manufacturing scheduling is a complex combinatorial problem, particularly in distributed and dynamic environments. This paper presents a holonic approach to manufacturing scheduling, where the scheduling functions are distributed by several entities, combining their calculation power and local optimization capability. In this scheduling and control approach, the objective is to achieve fast and dynamic re-scheduling using a scheduling mechanism that evolves dynamically to combine centralized and distributed strategies, improving its responsiveness to emergence, instead of the complex and optimized scheduling algorithms found in traditional approaches

Review bioinspired approaches in ecoholonic manufacturing systems

El incremento de la complejidad de los procesos de fabricación, su carácter distribuido y el uso de las TIC y tecnologías inteligentes, ha determinado que nos debamos de plantear nuevas herramientas con carácter bioinspirado que intenten reconectar los sistemas técnicos con la naturaleza. En el presente trabajo se pretende establecer el estado del arte sobre la ingeniería bioinspirada hacia el diseño de procesos de fabricación sostenibles para su proyección en la ingeniería del ciclo de vida de sistemas de fabricación y complejos de producción industrial que permita concebirlos como naturaleza.The increasing complexity of manufacturing processes, its distributed nature and use of information and smart technologies, determines that we should raise new tools with bio-inspired character for attempt to reconnect technical systems with nature. In the present work it is to establish the state of the art bio-inspired engineering to design sustainable manufacturing processes for screening at the engineering life cycle of manufacturing systems and industrial production complexes that allow them to conceive as nature

A Holonic Workforce Sizing Model Based on Demand Trend and Disturbance Rate in Job-shop Production

This paper presents a job-shop workforce sizing method developed in the light of Holonic Manufacturing System (HMS). As one of the management paradigms gaining attention worldwide, HMS represents a novel methodology that integrates computers, machines, and humans into a single function unit capable to cope with dynamics in the business environment. Over the decades, the concepts of holons and holonic systems have been adopted in many research fields, but they are scarcely attempted on labour planning. A literature gap exists, thus motivating the author to come up with a holonic model that uses exponential smoothing to forecast some quantitative variables in labour-intensive production. These varying parameters include the machine utilisation that reflects the demand and the worker absenteeism and turnover that constitute the disturbance. Collective equations are formulated to periodically compute the number of workers required. For model validation purpose, twenty-four-month data analysis is conducted on a mock-up basis

Adaptive scheduling based on self-organized holonic swarm of schedulers

Scheduling plays an important role in the companies’ competiveness, dealing with complex combinatorial problems subject to uncertainty and emergence. In particular, in the ramp-up phase of small lot-sizes of complex products, scheduling is more demanding, e.g. due to late requests and immature technology products and processes. This paper presents the principles of a distributed scheduling architecture based on holonic and swarm principles and implemented using multi-agent system technology. In particular, it is described the coordination among the network of the swarm of schedulers and analysed the impact of embedded self-organization mechanisms.The research leading to these results has received funding from the European Union Seventh Framework Programme FP7 ARUM project, under grant agreement n° 314056.info:eu-repo/semantics/publishedVersio

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

Modelling and Formulation of Holonic Workforce Allocation to Reduce the Impact of Absenteeism and Turnover

Holonic Manufacturing System (HMS) adopts Arthur Koestler's generalisation on living organisms and social organisations into a novel paradigm suitable for manufacturing industry. While the HMS paradigm has been researched on myriad technical subjects, workforce allocation is rarely attempted. In this research paper, an advisory model called Holonic Workforce Allocation Model (HWM) was developed, with the aim to reduce the impact of absenteeism and turnover in job shop environments. This model is associated with a weighted randomised formulation that can provide cross-training opportunities in parallel with specialisation requirements. For verification purpose, HWM was tested in several computer-simulated scenarios and was compared with some models commonly used in manufacturing. The experimental results showed that HWM is more effective than the others in minimising task overdue rate, improving average skill level, as well as providing moderate workload balance and cross-training chances

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

Telefacturing Based Distributed Manufacturing Environment for Optimal Manufacturing Service by Enhancing the Interoperability in the Hubs

Recent happenings are surrounding the manufacturing sector leading to intense progress towards the development of effective distributed collaborative manufacturing environments. This evolving collaborative manufacturing not only focuses on digitalisation of this environment but also necessitates service-dependent manufacturing system that offers an uninterrupted approach to a number of diverse, complicated, dynamic manufacturing operations management systems at a common work place (hub). This research presents a novel telefacturing based distributed manufacturing environment for recommending the manufacturing services based on the user preferences. The first step in this direction is to deploy the most advanced tools and techniques, that is, Ontology-based Protege 5.0 software for transforming the huge stored knowledge/information into XML schema of Ontology Language (OWL) documents and Integration of Process Planning and Scheduling (IPPS) for multijobs in a collaborative manufacturing system. Thereafter, we also investigate the possibilities of allocation of skilled workers to the best feasible operations sequence. In this context, a mathematical model is formulated for the considered objectives, that is, minimization of makespan and total training cost of the workers. With an evolutionary algorithm and developed heuristic algorithm, the performance of the proposed manufacturing system has been improved. Finally, to manifest the capability of the proposed approach, an illustrative example from the real-time manufacturing industry is validated for optimal service recommendation.This work has been supported by by COMPETE: POCI-01-0145-FEDER-007043 and FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013.info:eu-repo/semantics/publishedVersio