The Experts below are selected from a list of 22677 Experts worldwide ranked by ideXlab platform
Sebastiaan Meijer - One of the best experts on this subject based on the ideXlab platform.
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A systematic literature review of simulation models for non-technical skill training in healthcare Logistics
Advances in Simulation, 2018Co-Authors: Chen Zhang, Thomas Grandits, Jannicke Baalsrud Hauge, Karin Pukk Harenstam, Sebastiaan MeijerAbstract:BackgroundResource allocation in patient care relies heavily on individual judgements of healthcare professionals. Such professionals perform coordinating functions by managing the timing and execution of a multitude of care processes for multiple patients. Based on advances in simulation, new technologies that could be used for establishing realistic representations have been developed. These simulations can be used to facilitate understanding of various situations, coordination training and education in Logistics, Decision-making processes, and design aspects of the healthcare system. However, no study in the literature has synthesized the types of simulations models available for non-technical skills training and coordination of care.MethodsA systematic literature review, following the PRISMA guidelines, was performed to identify simulation models that could be used for training individuals in operative logistical coordination that occurs on a daily basis. This article reviewed papers of simulation in healthcare Logistics presented in the Web of Science Core Collections, ACM digital library, and JSTOR databases. We conducted a screening process to gather relevant papers as the knowledge foundation of our literature study. The screening process involved a query-based identification of papers and an assessment of relevance and quality.ResultsTwo hundred ninety-four papers met the inclusion criteria. The review showed that different types of simulation models can be used for constructing scenarios for addressing different types of problems, primarily for training and education sessions. The papers identified were classified according to their utilized paradigm and focus areas. (1) Discrete-event simulation in single-category and single-unit scenarios formed the most dominant approach to developing healthcare simulations and dominated all other categories by a large margin. (2) As we approached a systems perspective (cross-departmental and cross-institutional), discrete-event simulation became less popular and is complemented by system dynamics or hybrid modeling. (3) Agent-based simulations and participatory simulations have increased in absolute terms, but the share of these modeling techniques among all simulations in this field remains low.ConclusionsAn extensive study analyzing the literature on simulation in healthcare Logistics indicates a growth in the number of examples demonstrating how simulation can be used in healthcare settings. Results show that the majority of studies create situations in which non-technical skills of managers, coordinators, and Decision makers can be trained. However, more system-level and complex system-based approaches are limited and use methods other than discrete-event simulation.
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a systematic literature review of simulation models for non technical skill training in healthcare Logistics
Advances in Simulation, 2018Co-Authors: Chen Zhang, Thomas Grandits, Jannicke Baalsrud Hauge, Karin Pukk Harenstam, Sebastiaan MeijerAbstract:Resource allocation in patient care relies heavily on individual judgements of healthcare professionals. Such professionals perform coordinating functions by managing the timing and execution of a multitude of care processes for multiple patients. Based on advances in simulation, new technologies that could be used for establishing realistic representations have been developed. These simulations can be used to facilitate understanding of various situations, coordination training and education in Logistics, Decision-making processes, and design aspects of the healthcare system. However, no study in the literature has synthesized the types of simulations models available for non-technical skills training and coordination of care. A systematic literature review, following the PRISMA guidelines, was performed to identify simulation models that could be used for training individuals in operative logistical coordination that occurs on a daily basis. This article reviewed papers of simulation in healthcare Logistics presented in the Web of Science Core Collections, ACM digital library, and JSTOR databases. We conducted a screening process to gather relevant papers as the knowledge foundation of our literature study. The screening process involved a query-based identification of papers and an assessment of relevance and quality. Two hundred ninety-four papers met the inclusion criteria. The review showed that different types of simulation models can be used for constructing scenarios for addressing different types of problems, primarily for training and education sessions. The papers identified were classified according to their utilized paradigm and focus areas. (1) Discrete-event simulation in single-category and single-unit scenarios formed the most dominant approach to developing healthcare simulations and dominated all other categories by a large margin. (2) As we approached a systems perspective (cross-departmental and cross-institutional), discrete-event simulation became less popular and is complemented by system dynamics or hybrid modeling. (3) Agent-based simulations and participatory simulations have increased in absolute terms, but the share of these modeling techniques among all simulations in this field remains low. An extensive study analyzing the literature on simulation in healthcare Logistics indicates a growth in the number of examples demonstrating how simulation can be used in healthcare settings. Results show that the majority of studies create situations in which non-technical skills of managers, coordinators, and Decision makers can be trained. However, more system-level and complex system-based approaches are limited and use methods other than discrete-event simulation.
Jan Ola Strandhagen - One of the best experts on this subject based on the ideXlab platform.
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applications of discrete event simulation to support manufacturing Logistics Decision making a survey
Winter Simulation Conference, 2006Co-Authors: Marco Semini, Hakon Fauske, Jan Ola StrandhagenAbstract:This paper presents a literature survey on recent use of discrete-event simulation in real-world manufacturing Logistics Decision-making. The sample of the survey consists of 52 relevant application papers from recent Winter Simulation Conference proceedings. We investigated what Decisions were supported by the applications, case company characteristics, some methodological issues, and the software tools used. We found that the majority of applications has been reported in production plant design and in the evaluation of production policies, lot sizes, WIP levels and production plans/schedules. Findings also suggest that general-purpose DES software tools are suitable in most of these cases. For different possible reasons, few applications for multi-echelon supply chain Decision-making have been reported. Software requirements for supply chain simulations also seem to differ slightly from those for established application areas. The applications described were carried out in a variety of different industries, with a clear predominance in the semiconductor and automotive industries.
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Winter Simulation Conference - Applications of discrete-event simulation to support manufacturing Logistics Decision-making: a survey
Proceedings of the 2006 Winter Simulation Conference, 2006Co-Authors: Marco Semini, Hakon Fauske, Jan Ola StrandhagenAbstract:This paper presents a literature survey on recent use of discrete-event simulation in real-world manufacturing Logistics Decision-making. The sample of the survey consists of 52 relevant application papers from recent Winter Simulation Conference proceedings. We investigated what Decisions were supported by the applications, case company characteristics, some methodological issues, and the software tools used. We found that the majority of applications has been reported in production plant design and in the evaluation of production policies, lot sizes, WIP levels and production plans/schedules. Findings also suggest that general-purpose DES software tools are suitable in most of these cases. For different possible reasons, few applications for multi-echelon supply chain Decision-making have been reported. Software requirements for supply chain simulations also seem to differ slightly from those for established application areas. The applications described were carried out in a variety of different industries, with a clear predominance in the semiconductor and automotive industries.
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APMS - Which Manufacturing Logistics Decisions are Supported by Operational Research? A Literature Survey
Lean Business Systems and Beyond, 1Co-Authors: Marco Semini, Hakon Fauske, Jan Ola StrandhagenAbstract:This paper presents a literature survey of operational research applications to manufacturing Logistics Decision-making. A total of 80 applications published in Interfaces were reviewed in order to identify the Decisions supported, their horizon, and their system boundary. The references to the papers reporting on these applications are included in the paper. Most OR applications were found in short-term production planning and scheduling, plant location and physical distribution system design, production system design, and master planning. Other areas, such as supplier selection and business process design, had few or no applications. While the survey sample does not allow generalizations, the unequal distribution of applications suggests that there is a rather clearly defined set of Decision areas that are regularly supported by operational research. Findings also suggest that not only operational, but also certain strategic Decisions, such as plant location, plant capacity and equipment capacity, are supported by OR. Finally, a lack of applications crossing organisational boundaries has been identified.
Chwen Sheu - One of the best experts on this subject based on the ideXlab platform.
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a model for reverse Logistics entry by third party providers
Omega-international Journal of Management Science, 2002Co-Authors: Dennis Krumwiede, Chwen SheuAbstract:Reverse Logistics has become an important entity in the US economy. Nonetheless, many companies are not capable of or are unwilling to enter the reverse Logistics market. Such reluctance appears to be attributed to lack of knowledge of reverse Logistics. This paper reviews current industry practices in reverse Logistics. Specifically, we examine the issues and processes that an organization has to address to engage in the reverse Logistics business. A reverse Logistics Decision-making model is developed to guide the process of examining the feasibility of implementing reverse Logistics in third-party providers such as transportation companies. The purpose of this model is to help those companies who would like to pursue reverse Logistics as a new market. A field study was conducted with a larger US transportation company to validate the proposed model.
Karin Pukk Harenstam - One of the best experts on this subject based on the ideXlab platform.
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A systematic literature review of simulation models for non-technical skill training in healthcare Logistics
Advances in Simulation, 2018Co-Authors: Chen Zhang, Thomas Grandits, Jannicke Baalsrud Hauge, Karin Pukk Harenstam, Sebastiaan MeijerAbstract:BackgroundResource allocation in patient care relies heavily on individual judgements of healthcare professionals. Such professionals perform coordinating functions by managing the timing and execution of a multitude of care processes for multiple patients. Based on advances in simulation, new technologies that could be used for establishing realistic representations have been developed. These simulations can be used to facilitate understanding of various situations, coordination training and education in Logistics, Decision-making processes, and design aspects of the healthcare system. However, no study in the literature has synthesized the types of simulations models available for non-technical skills training and coordination of care.MethodsA systematic literature review, following the PRISMA guidelines, was performed to identify simulation models that could be used for training individuals in operative logistical coordination that occurs on a daily basis. This article reviewed papers of simulation in healthcare Logistics presented in the Web of Science Core Collections, ACM digital library, and JSTOR databases. We conducted a screening process to gather relevant papers as the knowledge foundation of our literature study. The screening process involved a query-based identification of papers and an assessment of relevance and quality.ResultsTwo hundred ninety-four papers met the inclusion criteria. The review showed that different types of simulation models can be used for constructing scenarios for addressing different types of problems, primarily for training and education sessions. The papers identified were classified according to their utilized paradigm and focus areas. (1) Discrete-event simulation in single-category and single-unit scenarios formed the most dominant approach to developing healthcare simulations and dominated all other categories by a large margin. (2) As we approached a systems perspective (cross-departmental and cross-institutional), discrete-event simulation became less popular and is complemented by system dynamics or hybrid modeling. (3) Agent-based simulations and participatory simulations have increased in absolute terms, but the share of these modeling techniques among all simulations in this field remains low.ConclusionsAn extensive study analyzing the literature on simulation in healthcare Logistics indicates a growth in the number of examples demonstrating how simulation can be used in healthcare settings. Results show that the majority of studies create situations in which non-technical skills of managers, coordinators, and Decision makers can be trained. However, more system-level and complex system-based approaches are limited and use methods other than discrete-event simulation.
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a systematic literature review of simulation models for non technical skill training in healthcare Logistics
Advances in Simulation, 2018Co-Authors: Chen Zhang, Thomas Grandits, Jannicke Baalsrud Hauge, Karin Pukk Harenstam, Sebastiaan MeijerAbstract:Resource allocation in patient care relies heavily on individual judgements of healthcare professionals. Such professionals perform coordinating functions by managing the timing and execution of a multitude of care processes for multiple patients. Based on advances in simulation, new technologies that could be used for establishing realistic representations have been developed. These simulations can be used to facilitate understanding of various situations, coordination training and education in Logistics, Decision-making processes, and design aspects of the healthcare system. However, no study in the literature has synthesized the types of simulations models available for non-technical skills training and coordination of care. A systematic literature review, following the PRISMA guidelines, was performed to identify simulation models that could be used for training individuals in operative logistical coordination that occurs on a daily basis. This article reviewed papers of simulation in healthcare Logistics presented in the Web of Science Core Collections, ACM digital library, and JSTOR databases. We conducted a screening process to gather relevant papers as the knowledge foundation of our literature study. The screening process involved a query-based identification of papers and an assessment of relevance and quality. Two hundred ninety-four papers met the inclusion criteria. The review showed that different types of simulation models can be used for constructing scenarios for addressing different types of problems, primarily for training and education sessions. The papers identified were classified according to their utilized paradigm and focus areas. (1) Discrete-event simulation in single-category and single-unit scenarios formed the most dominant approach to developing healthcare simulations and dominated all other categories by a large margin. (2) As we approached a systems perspective (cross-departmental and cross-institutional), discrete-event simulation became less popular and is complemented by system dynamics or hybrid modeling. (3) Agent-based simulations and participatory simulations have increased in absolute terms, but the share of these modeling techniques among all simulations in this field remains low. An extensive study analyzing the literature on simulation in healthcare Logistics indicates a growth in the number of examples demonstrating how simulation can be used in healthcare settings. Results show that the majority of studies create situations in which non-technical skills of managers, coordinators, and Decision makers can be trained. However, more system-level and complex system-based approaches are limited and use methods other than discrete-event simulation.
Chen Zhang - One of the best experts on this subject based on the ideXlab platform.
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A systematic literature review of simulation models for non-technical skill training in healthcare Logistics
Advances in Simulation, 2018Co-Authors: Chen Zhang, Thomas Grandits, Jannicke Baalsrud Hauge, Karin Pukk Harenstam, Sebastiaan MeijerAbstract:BackgroundResource allocation in patient care relies heavily on individual judgements of healthcare professionals. Such professionals perform coordinating functions by managing the timing and execution of a multitude of care processes for multiple patients. Based on advances in simulation, new technologies that could be used for establishing realistic representations have been developed. These simulations can be used to facilitate understanding of various situations, coordination training and education in Logistics, Decision-making processes, and design aspects of the healthcare system. However, no study in the literature has synthesized the types of simulations models available for non-technical skills training and coordination of care.MethodsA systematic literature review, following the PRISMA guidelines, was performed to identify simulation models that could be used for training individuals in operative logistical coordination that occurs on a daily basis. This article reviewed papers of simulation in healthcare Logistics presented in the Web of Science Core Collections, ACM digital library, and JSTOR databases. We conducted a screening process to gather relevant papers as the knowledge foundation of our literature study. The screening process involved a query-based identification of papers and an assessment of relevance and quality.ResultsTwo hundred ninety-four papers met the inclusion criteria. The review showed that different types of simulation models can be used for constructing scenarios for addressing different types of problems, primarily for training and education sessions. The papers identified were classified according to their utilized paradigm and focus areas. (1) Discrete-event simulation in single-category and single-unit scenarios formed the most dominant approach to developing healthcare simulations and dominated all other categories by a large margin. (2) As we approached a systems perspective (cross-departmental and cross-institutional), discrete-event simulation became less popular and is complemented by system dynamics or hybrid modeling. (3) Agent-based simulations and participatory simulations have increased in absolute terms, but the share of these modeling techniques among all simulations in this field remains low.ConclusionsAn extensive study analyzing the literature on simulation in healthcare Logistics indicates a growth in the number of examples demonstrating how simulation can be used in healthcare settings. Results show that the majority of studies create situations in which non-technical skills of managers, coordinators, and Decision makers can be trained. However, more system-level and complex system-based approaches are limited and use methods other than discrete-event simulation.
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a systematic literature review of simulation models for non technical skill training in healthcare Logistics
Advances in Simulation, 2018Co-Authors: Chen Zhang, Thomas Grandits, Jannicke Baalsrud Hauge, Karin Pukk Harenstam, Sebastiaan MeijerAbstract:Resource allocation in patient care relies heavily on individual judgements of healthcare professionals. Such professionals perform coordinating functions by managing the timing and execution of a multitude of care processes for multiple patients. Based on advances in simulation, new technologies that could be used for establishing realistic representations have been developed. These simulations can be used to facilitate understanding of various situations, coordination training and education in Logistics, Decision-making processes, and design aspects of the healthcare system. However, no study in the literature has synthesized the types of simulations models available for non-technical skills training and coordination of care. A systematic literature review, following the PRISMA guidelines, was performed to identify simulation models that could be used for training individuals in operative logistical coordination that occurs on a daily basis. This article reviewed papers of simulation in healthcare Logistics presented in the Web of Science Core Collections, ACM digital library, and JSTOR databases. We conducted a screening process to gather relevant papers as the knowledge foundation of our literature study. The screening process involved a query-based identification of papers and an assessment of relevance and quality. Two hundred ninety-four papers met the inclusion criteria. The review showed that different types of simulation models can be used for constructing scenarios for addressing different types of problems, primarily for training and education sessions. The papers identified were classified according to their utilized paradigm and focus areas. (1) Discrete-event simulation in single-category and single-unit scenarios formed the most dominant approach to developing healthcare simulations and dominated all other categories by a large margin. (2) As we approached a systems perspective (cross-departmental and cross-institutional), discrete-event simulation became less popular and is complemented by system dynamics or hybrid modeling. (3) Agent-based simulations and participatory simulations have increased in absolute terms, but the share of these modeling techniques among all simulations in this field remains low. An extensive study analyzing the literature on simulation in healthcare Logistics indicates a growth in the number of examples demonstrating how simulation can be used in healthcare settings. Results show that the majority of studies create situations in which non-technical skills of managers, coordinators, and Decision makers can be trained. However, more system-level and complex system-based approaches are limited and use methods other than discrete-event simulation.
