Abstract
Article history: Received March 29, 2015 Received in revised format: May 12, 2015 Accepted May 22, 2015 Available online May 22 2015 There is an ever increasing need of providing quick, yet improved solution to dynamic scheduling by better responsiveness following simple coordination mechanism to better adapt to the changing environments. In this endeavor, a cognitive agent based approach is proposed to deal with machine failure. A Multi Agent based Holonic Adaptive Scheduling (MAHoAS) architecture is developed to frame the schedule by explicit communication between the product holons and the resource holons in association with the integrated process planning and scheduling (IPPS) holon under normal situation. In the event of breakdown of a resource, the cooperation is sought by implicit communication. Inspired by the cognitive behavior of human being, a cognitive decision making scheme is proposed that reallocates the incomplete task to another resource in the most optimized manner and tries to expedite the processing in view of machine failure. A metamorphic algorithm is developed and implemented in Oracle 9i to identify the best candidate resource for task re-allocation. Integrated approach to process planning and scheduling realized under Multi Agent System (MAS) framework facilitates dynamic scheduling with improved performance under such situations. The responsiveness of the resources having cognitive capabilities helps to overcome the adverse consequences of resource failure in a better way. Growing Science Ltd. All rights reserved. 5 © 201
Highlights
The success of a production system, by and large, is governed by the shop floor control activities and resource scheduling is one of the most prominent issues to be addressed in this regard
To deal with the machine breakdown, we propose a novel self-organizing mechanism of the cognitive agents, which is imitated from the behavior of human being, to reallocate the incomplete job in the most optimized manner
The algorithm attempts to expedite the processing by adopting optimum process plan, (ii) it optimizes the task re-allocation, (iii) since the schedule preparation is based on the real-time information, no advance schedule is generated and the question of rescheduling arises only for the affected job, (iv) implicit cooperation and coordination mechanism does not call for any renegotiation and free from its negative consequences, (v) after reallocation of the incomplete job, the original schedule rule is followed that eventually ensures automatic load balancing even under changing circumstances
Summary
The success of a production system, by and large, is governed by the shop floor control activities and resource scheduling is one of the most prominent issues to be addressed in this regard. Disturbance handling due to machine malfunctioning by agent based holonic approach is credited to several researchers (Bongaerts et al 1997; Wong et al, 2006b; Wang et al, 2008; Leitao & Restivo, 2008; Hsieh, 2010; Nejad et al, 2011; Leitao, 2011) It follows from these literatures that in the wake of such situations, rescheduling is required and a delay is on the cards. Once a resource confronts any malfunctioning, a triggering mechanism fires implicitly to initiate a course of actions that eventually determine the earliest possible completion time of the affected job by different active resources that would be considered as criterion of task reallocation Under such situations, these resources always opt for the optimum process plan for subsequent processing so as to expedite the execution in an attempt to minimize the makespan and the delay.
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