Coordination activities of human planners during rescheduling: case analysis and event handling procedure

Snoo, C. de; Wezel, van Wouter; Wortmann, Hans; Gaalman, Gerard

doi:10.1080/00207541003639626

Cited by 33 publications

(31 citation statements)

References 34 publications

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“…However, the majority of research studies consider uncertainties independently [17], which is not the case in reality. This factor has been recognized by some recent empirical studies (see for example de Snoo et al [9]), showing the interdependencies, communication, and feedback process between planning and control levels during event handling process using an in-depth single case study. This factor especially grows in importance for the identification and evaluation stages in the event handling process described earlier.…”

Section: Coordination and Feedbackmentioning

confidence: 86%

“…This paradigm decomposes the PPC problem into interdependent long term planning and short term scheduling levels to reduce the complexity and facilitate the solution [6]. The majority of the firms apply the Manufacturing Resource Planning (MRP II)/ Enterprise Resource Planning (ERP) system to create production schedules [9], with the core logic of Material Requirements Planning (MRP) to determine net material requirements. Output from the MRP run is a Planned Order Release (POR) schedule, which typically contains release dates and due dates of the orders.…”

Section: Production Control Structuresmentioning

confidence: 99%

“…A great number of research papers published with regards to this topic, however, very few of them influenced the industrial practice [15]. These studies formulate the scheduling and rescheduling as a combinatorial optimization problem, neglecting many important aspects of reality [9,16]. However, the event handling and rescheduling process involve equally important factors to be considered for the practicality of the production control systems.…”

Section: Production Control Structuresmentioning

confidence: 99%

“…In literature, several terms are interchangeably used for the unexpected events, such as uncertainties, disruptions, disturbances, and rescheduling factors [9]. There have also been some studies to characterize and categorize the uncertainty in manufacturing systems (see for example Koh et al [17]).…”

Section: Event Handling Process and Underlying Factorsmentioning

confidence: 99%

See 3 more Smart Citations

Handling Unexpected Events in Production Activity Control Systems

Arica¹,

Strandhagen²,

Hvolby³

2013

IFIP Advances in Information and Communication Technology

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Abstract. This paper highlights the important factors that influence the effectiveness of the event handling process in production control activity (PAC). Five key factors have been identified by the literature study. Production schedule generation and execution strategy under uncertainty, information and communication technology usage, coordination and feedback, human factor and interaction, and the performance measurement approach are the identified factors to be taken into account. Industrial interviews with three case companies, that are participating to the research program called The Norwegian Manufacturing Future (SFI NORMAN), have been carried out in order to gain practical insights as well as support and revise the findings by relevant empirical data.

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Section: Coordination and Feedbackmentioning

confidence: 86%

Section: Production Control Structuresmentioning

confidence: 99%

Section: Production Control Structuresmentioning

confidence: 99%

Section: Event Handling Process and Underlying Factorsmentioning

confidence: 99%

See 2 more Smart Citations

Handling Unexpected Events in Production Activity Control Systems

Arica¹,

Strandhagen²,

Hvolby³

2013

IFIP Advances in Information and Communication Technology

View full text Add to dashboard Cite

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“…Moreover, the probability of these violations and the corresponding violation costs are stochastic. Thirdly, a possible workload imbalance may occur among multiple personal work lists without approximate scheduling (De Snoo et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Applying genetic algorithm to optimise personal worklist management in workflow systems

Genquan¹,

Han²,

Liu³

et al. 2013

International Journal of Production Research

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Applying scheduling techniques to manage activity instances (tasks) in executors' personal work lists is crucial in workflow management systems (WFMSs). To date, most practical scheduling techniques focus on process (control-flow) perspective of WFMSs but do not adequately address issues relating to work lists containing executors' to-do activity instances. Existing simple-dispatching-rule based techniques cannot fully capture the complexity in personal work list management under dynamic workflow environments. Given this motivation, this paper proposes an approach that applies genetic algorithm (GA) to manage activity instances in personal work lists. This approach is applied according to activity instances' probabilities of satisfying deadlines and costs of violating deadlines. The approach can schedule activity instances among multiple executors' personal work lists and recommend to each executor a list of activity instances that can be successfully executed, while minimising the overall deadline violation cost. Using real-world data collected from three manufacturing enterprises, the paper fits the probability distributions of activity instances' key time features such as starting time and execution durations, and then generates simulation experiment data. This paper also studies the setting of GA's parameters to fit the practical manufacturing scenarios. Finally, by comparing with other seven typical workflow scheduling algorithms, the paper evaluates the effectiveness of our algorithm using a large scale simulation experiment.

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Coordination and Task Interdependence during Schedule Adaptation

Snoo

Wezel

2011

Hum Ftrs & Erg Mfg Svc

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This article discusses the influence of organizational and behavioral variables on coordination between planners during plan adaptation. Fast communication and mutual alignment are necessary to maintain schedule feasibility in a situation with several schedulers. Therefore, coordination modes are required that facilitate communication and joint problem solving. Moreover, building on interdependence theory, we hypothesize that the schedulers' perceptions of task interdependence influence rescheduling performance. Experimental results indicate that a group decision‐making coordination mode enforcing cooperation outperforms a distributed decision‐making coordination mode involving emergent alignment. The level of perceived task interdependence explains this better performance. Therefore, perceptions of task interdependence are put forward as an important behavioral factor influencing rescheduling performance, with several important implications for theory and practice. © 2011 Wiley Periodicals, Inc.

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Coordination activities of human planners during rescheduling: case analysis and event handling procedure

Cited by 33 publications

References 34 publications

Handling Unexpected Events in Production Activity Control Systems

Handling Unexpected Events in Production Activity Control Systems

Applying genetic algorithm to optimise personal worklist management in workflow systems

Coordination and Task Interdependence during Schedule Adaptation

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