Decision making logic for flexible assembly lines reconfiguration

Michalos, George; Sipsas, Platon; Makris, Sotiris; Chryssolouris, George

doi:10.1016/j.rcim.2015.04.006

Cited by 50 publications

(20 citation statements)

References 51 publications

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“…In this sense, the many real life decision problems with many alternatives and criteria can now be effectively handled with AHP. Among these decision problems, we retain particularly interesting the following: assignments of rotation schedule (Michalos et al, 2011(Michalos et al, , 2010, designing of assembly line alternatives (Michalos et al, 2012) and assembly line reconfiguration (Michalos et al, 2016). In all these problems, several hundreds of different alternatives are evaluated with respect to conflicting criteria to choose the best alternative.…”

Section: Discussionmentioning

confidence: 99%

A new parsimonious AHP methodology: Assigning priorities to many objects by comparing pairwise few reference objects

Abastante

Corrente

Greco

et al. 2019

Expert Systems with Applications

112

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Section: Discussionmentioning

confidence: 99%

A new parsimonious AHP methodology: Assigning priorities to many objects by comparing pairwise few reference objects

Abastante

Corrente

Greco

et al. 2019

Expert Systems with Applications

112

View full text Add to dashboard Cite

“…The reconfiguration of storage systems can be defined as the flexibilities pertaining to the number, size, location in the plant (layout), modification of the structure of storage buffers (e.g., adding a new motion axis for storage/retrieval device in an AS/RS) [40], as well as dynamic inventory management and control policies [41,42]. Similarly, the reconfiguration of material handling systems involves decisions related to dynamic combination and use of several types of material handling equipment (trucks, automated guided vehicles, rail guided vehicles, conveyors, cranes, and hoists), as well as modification of transportation layout in the plant [43][44][45]. The reconfiguration of tools and fixtures is related to the use of the same tool and/or fixture for more than one part of the same part family, the design of tools and fixtures that can accommodate different orientations, or variable production capacity (e.g., variable number of mold prints) [46][47][48][49].…”

Section: Literature Reviewmentioning

confidence: 99%

Virtual Reality-Based Engineering Education to Enhance Manufacturing Sustainability in Industry 4.0

et al. 2019

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Many advanced product manufacturing approaches have been introduced in the market in recent years. Thus, it is critical to develop modern techniques which can effectively familiarize budding minds with the latest manufacturing procedures. In fact, the contemporary training methods and advanced education practices are crucial to uphold the interest of the new generation as well as to equip them with state-of the art systems. There is a need for innovative ideas and effective methodologies to inculcate the desired competency and prepare students for prospective manufacturing set ups. In the latest Industry 4.0 paradigm, visualization technologies, especially virtual reality, have been emphasized to sustainably train and educate young students. This work presents a technique for utilizing the leading visualization method based on virtual reality in product manufacturing. It aims to acquaint students with the prominent concept of Industry 4.0, the reconfigurable manufacturing system (RMS). The RMS has been a demanding topic for the novice and, most often, amateurs are not able to grasp and interpret it. Therefore, this paper outlines the various steps that can be useful for students in order to anticipate the RMS design, interact with it, understand its operation, and evaluate its performance.

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“…Critical path and resource levelling methods for task scheduling have been integrated by Hasgül et al (2009) and a three-level architecture has been applied on a mobile robot platform for planning and execution under uncertainty (Hanheide et al 2017). Hybrid approaches for task and path planning for a mobile robot team have been also proposed using heuristics (Michalos et al 2016;Muñoz, R-Moreno, and Barrero 2016;Bidot et al 2017). However, the existing approaches are focusing on scheduling low-level mobile robot actions and need expansion to address the needs of a material supply system at the factory level.…”

Section: Task Planning and Scheduling For Materials Supply Operationsmentioning

confidence: 99%

Scheduling of smart intra – factory material supply operations using mobile robots

Kousi

Koukas

Michalos

et al. 2018

International Journal of Production Research

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This paper presents the design and prototype implementation of a service-based control system responsible for the material supply operations planning and coordination in assembly lines. The material supply processes are carried out by autonomous mobile units that are responsible for the transportation of the consumables from the warehouse to the production stations. The plan generation based on time and inventory level driven criteria is automatically carried out by a web-based software that can also distribute the derived plan to the autonomous mobile units. The proposed system was implemented on a case inspired by an actual production line from the automotive assembly sector. Discrete event simulation has been employed for the investigated production system, to derive the specifications for the mobile units (e.g. number of boxes that can carry simultaneously) that may serve the system efficiently. The results indicate that the proposed architecture integrated with the discussed mobile assistant units may provide high quality solutions with respect to the end user criteria.

show abstract

Decision making logic for flexible assembly lines reconfiguration

Cited by 50 publications

References 51 publications

A new parsimonious AHP methodology: Assigning priorities to many objects by comparing pairwise few reference objects

A new parsimonious AHP methodology: Assigning priorities to many objects by comparing pairwise few reference objects

Virtual Reality-Based Engineering Education to Enhance Manufacturing Sustainability in Industry 4.0

Scheduling of smart intra – factory material supply operations using mobile robots

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