Decision Making in Planning and Scheduling: A Field Study of Planning Behaviour in Manufacturing

Gasser, Roland; Fischer, Katrin; Wäfler, Toni

doi:10.1007/978-3-642-13382-4_2

Cited by 6 publications

(6 citation statements)

References 9 publications

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“…More recently, Berglund and Karltun (2007) studied the work of human schedulers in practice and concluded that a heavy cognitive load is imposed on them on a daily basis, with a large portion of this load consumed by problem-solving activities related to the handling of disturbances and unexpected events. Gasser, Fischer, and Wäfler (2011) also concluded that schedulers should be supported through the continuous development of their expertise and the provision of support information which is relevant to the decision-maker's knowledge structures. The proposed i-DESME framework addresses these considerations by generating a comprehensive model of the scheduler's cognitive system through standardised cognitive modelling methodologies (section 3.2.1).…”

Section: Interdisciplinary Modelling Of Scheduling Processesmentioning

confidence: 97%

Interdisciplinary design of scheduling decision support systems in small-sized SME environments: The i-DESME framework

Dimopoulos

Cegarra

Papageorgiou

et al. 2015

Journal of Decision Systems

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This paper introduces i-nterdisciplinary DEsign for SMEs (i-DESME), a structured interdisciplinary framework for the design of IT scheduling decision support systems, with a focus on small-sized Small and Medium Enterprises (SME) industrial environments. The proposed framework initially models the interdisciplinary characteristics of the current ('as-is') implementation of scheduling processes within a particular SME industrial environment. This information provides the basis for the implementation of function allocation and algorithm selection studies on the scheduling processes considered. As a result, an interdisciplinary specification of the information technology (IT) decision support system which will support the future ('to-be') implementation of the scheduling processes within the industrial environment is produced, and subsequent software lifecycle phases are implemented. A summary of case study results from the application of the i-DESME framework within the environment of a typical micro-sized SME company is provided.

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Section: Interdisciplinary Modelling Of Scheduling Processesmentioning

confidence: 97%

Interdisciplinary design of scheduling decision support systems in small-sized SME environments: The i-DESME framework

Dimopoulos

Cegarra

Papageorgiou

et al. 2015

Journal of Decision Systems

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“…In fact, Gralla et al, (2016) showed that the scheduler's perception evolves while scheduling and as a result, sensing evolves. At the same time, Gasser et al (2010) identified that decisions, disruptions and clarifications all trigger information exchange between the scheduler and other stakeholders, generating an update of the general state of knowledge to the scheduler and the stakeholders involved.…”

Section: Literature Reviewmentioning

confidence: 99%

The scheduler’s balancing act of sensing and reacting: a behavioural perspective on scheduling

Martinelli

Fransoo

Gharehgozli

et al. 2019

International Journal of Production Research

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DOI to the publisher's website.• The final author version and the galley proof are versions of the publication after peer review.• The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal.If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the "Taverne" license above, please follow below link for the End User Agreement:

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“…Artificial intelligent researchers claim that such behavior is algorithmic and can be replaced by an expert system [5,6]. However, the work of decisionsupport researchers revealed that the human decision behavior is non-algorithmic and differs somewhat from rational theories; because of certain factors that occur in real-time and can not be taken in advance by an algorithm [7,10,20].…”

Section: Literature Reviewmentioning

confidence: 99%

A New HMI Scheduling Model Implemented on a Real Manufacturing Scheduling System

Yahouni

Mebarki

2018

Service Orientation in Holonic and Multi-Agent Manufacturing

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Manufacturing scheduling systems operate in a highly dynamic environment where several perturbations occur during the execution of a schedule. These perturbations prevent the execution of the planned schedule exactly as it was supposed to. To cope with this drawback, some techniques propose several scheduling solutions instead of a unique one, allowing during the execution phase to select the appropriate schedule that hedges against the perturbations. This selection is effectively done by a human operator who plays a key role in decision-making because of his knowledge and expertise. But, because of the limited complexity that he can handle, he needs to cooperate with the machine to take efficient decisions. In this context, the Human-Machine-Interface (HMI) literature research in planning and scheduling is rather theoretical. This paper addresses this relation from a practicaloriented perspective by proposing a new HMI model adapted to the groups of permutable jobs method, which is one of the most used literature methods to cope with shop perturbations. A practical experiment using the proposed HMI is then conducted. The results stress the usability and the limits of the proposed model.

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Decision Making in Planning and Scheduling: A Field Study of Planning Behaviour in Manufacturing

Cited by 6 publications

References 9 publications

Interdisciplinary design of scheduling decision support systems in small-sized SME environments: The i-DESME framework

Interdisciplinary design of scheduling decision support systems in small-sized SME environments: The i-DESME framework

The scheduler’s balancing act of sensing and reacting: a behavioural perspective on scheduling

A New HMI Scheduling Model Implemented on a Real Manufacturing Scheduling System

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