A mobile application for knowledge-enriched short-term scheduling of complex products
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ORIGINAL PAPER
A mobile application for knowledge-enriched short-term scheduling of complex products D. Mourtzis1 • M. Doukas1 • E. Vlachou1
Received: 8 June 2015 / Accepted: 21 December 2015 Ó The Author(s) 2016. This article is published with open access at Springerlink.com
Abstract The ever-increasing product complexity, especially for the case of engineer-to-order products, highly affects the performance of manufacturing systems. Therefore, a high degree of flexibility is needed during daily decision-making activities, such as production scheduling. For addressing this challenge, this research work proposes a knowledge-enriched short-term job-shop scheduling mechanism, which is implemented into a mobile application. More precisely, it focuses on the short-term scheduling of the resources of the machine shop, through an intelligent algorithm that generates and evaluates alternative assignments of resources to tasks. Based on the requirements of a new order, a similarity mechanism retrieves successfully executed past orders together with a dataset that includes the processing times, the job and task sequence, and the suitable resources. In addition to that, the similarity mechanism is used to calculate the due-date assignments of the orders based on the knowledge stored in past cases. Afterwards, it adapts these parameters to the requirements of the new order so as to evaluate the alternative schedules and identify a good alternative in a timely manner. The deriving schedule can be presented on mobile devices, and it can be manipulated by the planner on-thefly respecting tasks precedence constraints and machine
This article is part of a focus collection on ‘‘Robust Manufacturing Control: Robustness and Resilience in Global Manufacturing Networks’’. & D. Mourtzis [email protected] 1
Laboratory for Manufacturing Systems and Automation, Department of Mechanical Engineering and Aeronautics, University of Patras, 26500 Rio, Greece
availability. A case study from the mould-making industry is used for validating the proposed method and application. Keywords Manufacturing systems Scheduling Mobile applications
1 Introduction Modern manufacturing relies on the reuse of previous knowledge that is either contained in data repositories and IT systems or exists in the form of tacit human knowledge. Knowledge constitutes a key factor for improving manufacturing performance, during design, planning, and operational phases [1]. Most contemporary manufacturing industries acknowledge that the exploitation of the existing knowledge is necessary to enhance the performance of manufacturing [2]. Indicatively, the importance of knowledge reuse for a system’s design and planning phase is evident, as rough estimations indicate that more than 20 % of an engineer’s time is spent on searching and absorbing information for a new project [3]. A particular type of manufacturing system, which essentially relies on the knowledge and expertise of human assets to improve its performance, is a job-shop that produces engineer-t
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