Future cyber-physical systems are expected to exploit autonomous robots to accomplish dangerous or complex missions composed of several tasks. A critical aspect is the availability of suitable mission planning strategies to react against external disturbances or hardware outages. Unfortunately, classic planning approaches may not take advantage of the ability of cyber-physical systems to collect a variety of information from sensors or IoT nodes, which can be used to forecast future events. Therefore, this paper proposes the adoption of predictive control for mission planning. Specifically, predictive control is used to compute online the best time instants when to change the assignment of tasks to robots by solving finite-horizon optimal control problems. The simulation results performed in comparison with “legacy” reactive and proactive strategies showcase the superiority of the proposed approach, especially in scenarios characterized by large disturbances.

When Time Matters: Predictive Mission Planning in Cyber-Physical Scenarios

The aerospace maintenance, repair and overhaul (MRO) operation is a dynamic business The job scope is unpredictable and there are also other challenges such as urgent orders that upset the production plan As a result, the planner needs to make prompt decision to adjust production plan from time to time To do this efficiently, the availability of timely and accurate work-in-progress (WIP) information at the shop floor is critically important The traditional practices of paper based WIP tracking are tedious and inefficient This paper discusses a novel approach of using the rewritable RFID tag as a means for electronic job order that overcomes the shortcomings of the paper based tracking

RFID for MRO Work In Progress Tracking

................................................................................................................ V ACKNOWLEDGMENTS...........................................................................................VII TABLE OF CONTENTS ............................................................................................. IX LIST OF FIGURES...................................................................................................XVI LIST OF TABLES.....................................................................................................XIX NOMENCLATURE...................................................................................................XX CHAPTER

/pdf/a-hybrid-hierarchical-task-network-planning-and-ontological-53l03wkq0j.pdf

A hybrid hierarchical task network planning and ontological approach for dynamic cross-enterprise business process formulation

We present briefly the theoretical framework of planning and scheduling in automated manufacturing systems. Emphasis is on the algorithmic approach to sequencing and scheduling of products through a machining center. Recent developments of the classical theory are described. These include issues of resource constrained scheduling, dealing for instance with tool management aspects. The objective is to provide a “tool-box” of scheduling algorithms and models which would form an important part of a production scheduling module in computer-integrated manufacturing systems.

Planning and Scheduling

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Planning and Scheduling