Design and implementation of a function block-based holonic control architecture for a new generation flexible manufacturing system

In this research work a control architecture which gives response to the requirements of new generation of flexible manufacturing systems in terms of flexibility, reconfigurability, robustness and autonomy is designed and implemented. To do so the main principles of the Holonic Manufacturing paradigm are applied using the IEC61499 function block (FB) technology. Unlike other similar research proposals, in this work FBs are not relegated to low-level control but are used to model manufacturing execution and control high-level control tasks. This is done with the objective of evaluating the viability of using FBs to develop holonic architectures in comparison to more established technologies like multi-agent systems. Moreover, the proposed control architecture also focuses on better integrating and exploiting the products’ information to enhance its flexibility and adaptability. For this STEP-NC (ISO14649) is used to model richer process plans which include manufacturing alternatives and could be easily integrated in the control itself

Agent-based holonic production control

Indexado ISIThe manufacturing system environment is typically a complex system, involving many variables and constraints, being in certain cases a chaotic system. The introduction of new paradigms to face globalisation, distribution of activities and customer satisfaction requirements, increases the problem complexity. The new manufacturing control approaches should support the agile adaptation to volatile technological and economical environments and should react dynamically and quickly to disturbances. This paper intends to introduce an agent-based approach to the manufacturing problem, that uses holonic concepts, is focused on distributed manufacturing shop floor control for discrete batch production, considers the optimisation of set-up and maintenance operations, and develops mechanisms for agile and fast reaction to disturbances without compromising the global production optimisation

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

Agent-based distributed manufacturing control: a state-of-the-art survey

Manufacturing has faced significant changes during the last years, namely the move from a local economy towards a global and competitive economy, with markets demanding for highly customized products of high quality at lower costs, and with short life cycles. In this environment, manufacturing enterprises, to remain competitive, must respond closely to customer demands by improving their flexibility and agility, while maintaining their productivity and quality. Dynamic response to emergence is becoming a key issue in manufacturing field because traditional manufacturing control systems are built upon rigid control architectures, which cannot respond efficiently and effectively to dynamic change. In these circumstances, the current challenge is to develop manufacturing control systems that exhibit intelligence, robustness and adaptation to the environment changes and disturbances. The introduction of multi-agent systems and holonic manufacturing systems paradigms addresses these requirements, bringing the advantages of modularity, decentralization, autonomy, scalability and re- usability. This paper surveys the literature in manufacturing control systems using distributed artificial intelligence techniques, namely multi-agent systems and holonic manufacturing systems principles. The paper also discusses the reasons for the weak adoption of these approaches by industry and points out the challenges and research opportunities for the future

PROSIS: An isoarchic structure for HMS control

International audienceThis paper presents a holonic and isoarchic approach to the Flexible Manufacturing System (FMS) control. This approach is based on a flat holonic form, where each holon is a model for each entity of the FMS, with a unifying level of communication between holons. After description of this model, called PROSIS, the interaction protocol and decision rules are presented. The objective is to increase the FMS productivity and flexibility, particularly on responsiveness aspects. This responsiveness is achieved through decentralized generation of the production tasks. The reactive behaviour of the FMS control is illustrated by the example of a flexible turning cell, upon occurrence of a failure or of an urgent batch order, and the resulting Gantt charts are shown

Service agents based collaborative workflow management implementation

Workflow management systems in collaborative logistic companies require strong information systems to support in a distributed environment. These IT integration requirements have expanded considerably with the advent of collaborative e-business; utilizing B2B (Business to Business) and P2P (Partner to Partner) e-commerce. This paper deals with adaptation management of collaborative workflow changes in such consortia and proposes architecture for implementation of these changes through the process of component integration and agent based workflow management system where by existing workflow systems adapt to the changes. This paper describes conceptual framework required for prototype implementation resulting in new collaborative workflow adaptation

A Capacity Planning Simulation Model for Reconfigurable Manufacturing Systems

Important objectives and challenges in today’s manufacturing environment include the introduction of new products and the designing and developing of reconfigurable manufacturing systems. The objective of this research is to investigate and support the reconfigurability of a manufacturing system in terms of scalability by applying a discrete-event simulation modelling technique integrated with flexible capacity control functions and communication rules for re-scaling process. Moreover, the possible extension of integrating the discrete-event simulation with an agent-based model is presented as a framework. The benefits of this framework are collaborative decision making using agents for flexible reaction to system changes and system performance improvement. AnyLogic multi-method simulation modelling platform is utilized to design and create different simulation modelling scenarios. The developed capacity planning simulation model results are demonstrated in terms of a case study using the configurable assembly Learning Factory (iFactory) in the Intelligent Manufacturing Systems (IMS) Center at the University of Windsor. The main benefit of developed capacity planning simulation in comparison to traditional discrete-event simulation is, with a single simulation run, the recommended capacity for manufacturing system will be determined instead of running several discrete-event simulation models to find the needed capacity

Management of dynamic and adaptive workflow business processes

Collaborative and dynamic workflow management systems in logistic companies require strong information systems and computer support. Business processes in such industries generally compose of several parts, a structured operational part and an unstructured operational part, or they could be composed of semistructured parts with some given and some unknown details. Unpredictable situations may occur as a result of changes in decisions made by the management. The inability to deal with various changes greatly limits the applicability of workflow systems in real industrial and commercial operations. This paper deals with adaptation management of collaborative workflow changes in such consortia and proposes architecture for implementation of these changes through the process of component integration and synchronization where by existing workflow systems adapt to the changes. This paper describes conceptual framework required for prototype implementation resulting in new collaborative workflow adaptation

Services integration monitor for collaborative workflow management

Collaborative workflow management systems in logistic companies require strong information systems and computer network support. These IT integration requirements have expanded considerably with the advent of e-business; utilizing web services and Partner to Partner ecommerce. This paper deals with change management of collaborative workflow in such consortia and proposes architecture for synchronization and monitoring of these services where existing workflow systems are adapted to the changes requested by management. This paper describes conceptual framework of the services monitor which is used to monitor and edit changes resulting in new collaborative workflows

Service oriented model driven architecture for dynamic workflow changes

Collaborative workflow management systems in logistic companies require strong information systems and computer support. These IT integration requirements have expanded considerably with the advent of e-business; utilizing web services for B2B (Business to Business) and P2P (Partner to Partner) e-commerce. This paper proposes service oriented model driven architecture for dynamic workflow changes and strategy for implementation of these changes by isolation of services and business processes where by existing workflow systems can easily incorporate and integrate the changes following a step by step process replacement synchronization in workflow. This paper will also describe conceptual framework for prototype implementation resulting in dynamic collaborative workflow management