Scheduling-free resource management

Hee, Kees van; Serebrenik, Alexander; Sidorova, Natalia; Voorhoeve, Marc; Wal, J. van der

doi:10.1016/j.datak.2006.04.008

Cited by 6 publications

(5 citation statements)

References 4 publications

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“…(3) where count(s,v,tim 1 ) denotes times that s has executed v until the time tim 1 , count(s,v,tim 2 ) denotes times that s has executed v until tim 2 which is less than tim 1 . count(v,tim 1 ) denotes times that v has been executed up to , count(v,tim 2 ) represents times that v has been executed until .…”

Section: Resource Preference Constraintsmentioning

confidence: 99%

“…Process mining, which can discover useful patterns of resource allocation from process event logs, can optimize the process by eliminating existing bottlenecks in time and is significant in improving both resource execution efficiency and process performance. We only focus on staff (participants) here in view of their special importance [1].…”

Section: Introductionmentioning

confidence: 99%

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The Optimization of Resource Allocation Based on Process Mining

Zhang

Liu

et al. 2015

Lecture Notes in Computer Science

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Abstract. The effectiveness of resource allocation directly affects process performance. In order to optimize resource allocation, this paper proposes a resource allocation model in view of the relationship between resource allocation and process performance, which minimizes process execution time in terms of resource preference, cost constraints and resource availability criteria. Resource coordination is paid less attention in previous resource allocation studies. Therefore, this paper presents the corresponding resource allocation method in consideration of resource coordination, the interval between adjacent activities and distinguishing turnaround time between different resources from event logs. The experiments show that the proposed method can effectively optimize the resource allocation.

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Section: Resource Preference Constraintsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Optimization of Resource Allocation Based on Process Mining

Zhang

Liu

et al. 2015

Lecture Notes in Computer Science

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“…Furthermore, other techniques have been used by distinct resource allocation methods, including Machine Learning algorithms (Huang, Lu and Duan, 2011; Huang, van der Aalst, Lu and Duan, 2011; Liu et al , 2008; Ly et al , 2005; Talib et al , 2010; Xu et al , 2014; Yingbo et al , 2007), Markov models (Huang, van der Aalst, Lu and Duan, 2011; Koschmider et al , 2011; van Hee et al , 2007), data mining techniques (Huang, Lu and Duan, 2011; Sindhgatta et al , 2016), constraints based-approaches (Barba et al , 2011, 2013), and multi-agent systems (Hsieh and Lin, 2014; Kress et al , 2007), among others.…”

Section: Literature Reviewmentioning

confidence: 99%

Human resource allocation in business process management and process mining

Arias

Saavedra

Marques

et al. 2018

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Purpose-Human resource allocation is considered a relevant problem in business process management (BPM). The successful allocation of available resources for the execution of process activities can impact on process performance, reduce costs and obtain a better productivity of the resources. In particular, process mining is an emerging discipline that allows improvement of the resource allocation based on the analysis of historical data. The purpose of this paper is to provide a broad review of primary studies published in the research area of human resource allocation in BPM and process mining. Design/methodology/approach-A systematic mapping study (SMS) was conducted in order to classify the proposed approaches to allocate human resources. A total of 2,370 studies published between January 2005 and July 2016 were identified. Through a selection protocol, a group of 95 studies were selected. Findings-Human resource allocation is an emerging research area that has been evolving over time, generating new proposals that are increasingly applied to real case studies. The majority of proposed approaches relate to the period 2011-2016. Journals and conference proceedings are the most common venues. Validation research and evaluation research are the most common research types. There are two main evaluation methods: simulation and case studies. Originality/value-This study aims to provide an initial assessment of the state of the art in the research area of human resource allocation in BPM and process mining. To the best of the authors' knowledge, this is the first research that has been conducted to date that generates a SMS in this research area.

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“…Dependiendo del dominio de aplicación, los recursos pueden ser máquinas, equipos, tiempo, espacios, mano de obra, dinero, software, recursos humanos, etc. (Van Hee et al, 2007). En el problema de asignación de recursos (i) la cantidad de recursos a asignar es limitada, (ii) los recursos se utilizan en la realización de un determinado proyecto, (iii) hay diferentes formas de asignación, (iv) cada proyecto, al cual se le asignan recursos, presenta un beneficio diferente y (v) la asignación de recursos está limitada a las restricciones del problema (Vicens et al, 1997).…”

Section: El Problema De Asignación De Recursosunclassified

Metodología de asignación de recursos para el establecimiento de procesos colaborativos: Modelo de inversión para PYMES

Andrés

Poler

2014

DyO

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Se propone una metodología de asignación de recursos para iniciar o mejorar las relaciones colaborativas entre los socios de una red. La metodología se fundamenta, en primer lugar, en la identificación de los procesos potenciales a realizar de forma colaborativa, en base a los cuales se definen una serie de proyectos de acción que permiten llevar a cabo los procesos colaborativamente. Finalmente se presenta un modelo de programación lineal como herramienta de asignación de los recursos, que poseen las empresas, de forma que la inversión para llevar a cabo los proyectos de acción sea lo más eficiente posible. La metodología propuesta no sólo se focaliza en la asignación de recursos de las empresas, sino que ofrece una mayor cobertura para la asignación de recursos en el contexto de redes colaborativas de empresas. Así, la metodología cubre el proceso de asignación de recursos desde la identificación de los procesos potenciales en los que invertir hasta la asignación apropiada de recursos para llevar a cabo dichos procesos colaborativos.Palabras Claves: asignación de recursos, procesos colaborativos, redes colaborativas, programación matemáticaResources allocation methodology for the establishment of collaborative processes: Investment Model for SMEsAbstract: Over the last years, an increasing number of collaborative networks have appeared due to the change in the enterprisesí modus operandi, from competition to collaboration. In collaborative networks, members are able to achieve those objectives that would not be possible, or would have higher costs, to reach if organisations individually act. Thus, collaborative partners jointly work to achieve common or compatible objectives. Therefore, an increasing number of collaborative practices, among the partners in a network, have appeared as a result of the acquired advantages that stem from collaboration. Collaborative business processes are commonly associated with standardised schemas and collaborative mechanisms, used to facilitate the decisions coordination and exchange information among network partners. The business processes performed within the partners in a network are becoming more and more collaborative. However, establishing collaborative processes is not an easy task due to the necessary requirements to carry them out. The endogenous characteristics of enterprises are a challenge for the creation of appropriate conditions to establish collaboration. Specially, for small and medium enterprises (SMEs) the establishment of collaborative processes is a difficult task to perform, due to the implied risks and the lack of capabilities and resources owned. Therefore, the authors find, in this area, a gap to fill in order to lead the enterprisesí efforts to efficiently perform collaborative processes. One of the relevant issues to deal with when the enterprises are willing to establish collaborative relationships is identifying which are the processes to collaboratively perform and with which partners collaborate. If collaborative enterprises could identify both issues, what processes and partners, they could easily initiate the collaboration. Nevertheless, there is no methodology that provides enterprises this knowledge, causing failures in the initial phase of collaborative processes establishment. In order to identify the processes to carry on in a collaborative way and define the action projects to be activated in order to establish this collaboration, a methodology has been developed in this paper. The methodology consist of three phases (i) identification of the potential processes in which collaborate, (ii) definition of the action projects, that describe the resources, guidelines and tools in broad outline to provide a guide to establish the potential collaborative processes and (iii) a mathematical lineal programming model to support the selection of the, previously defined, action projects in which invest, as a way to allocate the resources to deal with the establishment of collaborative processes. This linear programming model will allow enterprises to identify in which action projects invest, to efficiently deal with the star ting up process of collaboration. The proposed methodology not only focuses on the resources allocation in one enterprise, but also deals with the resources allocation in the context of collaborative enterprise networks. The methodology covers the resources allocation process from the recognition of potential processes in which initiate collaboration to the identification of the appropriate resources to carry out such collaborative processes.Keywords: resources allocation, collaborative processes, collaborative network, mathematical programming.

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Scheduling-free resource management

Cited by 6 publications

References 4 publications

The Optimization of Resource Allocation Based on Process Mining

The Optimization of Resource Allocation Based on Process Mining

Human resource allocation in business process management and process mining

Metodología de asignación de recursos para el establecimiento de procesos colaborativos: Modelo de inversión para PYMES

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