Formal Resource and Capability Models supporting Re-use of Manufacturing Resources

Järvenpää, Eeva; Lanz, Minna; Siltala, Niko

doi:10.1016/j.promfg.2018.01.013

Cited by 24 publications

(9 citation statements)

References 12 publications

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“…MaRCO can ease and speed up the design and decision making related to different phases of production system design, reconfiguration, and even self-organization. In particular, together with the combined capability rules, implemented with SPIN, as well as the capability matchmaking rules and the associated SW tool currently under development (Järvenpää et al 2017), it can support at least the following activities related to production system design and reconfiguration: Finding resource combinations that fulfill a given product requirement; Checking whether the current system is able to fulfill the given requirement; Making sure that all the required system components are present in the system; Indicating any missing capabilities in the current system and suggesting alternative resources with the needed capability; Showing the parameter range of the available capabilities to facilitate decision-making about parametric adaptation; Showing the available capabilities on the factory floor and their coarse location to provide the necessary information for the logical adaptation (e.g. re-routing); and Automatic generation of configuration scenarios based on the given product requirements.…”

Section: Discussionmentioning

confidence: 99%

“…For instance, a conveyor alone or a robot combined with a gripper have this capability. In order to automatically define the "payload" parameter of the "Transporting" capability of a robot and finger gripper combination, the following rule can be applied (Järvenpää et al 2017): Transporting payload = "payload" property of "Moving" capability minus…”

Section: (D) Competency Questionsmentioning

confidence: 99%

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The development of an ontology for describing the capabilities of manufacturing resources

et al. 2018

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Today's highly volatile production environments call for adaptive and rapidly responding production systems that can adjust to the required changes in processing functions, production capacity and dispatching of orders. There is a desire to support such system adaptation and reconfiguration with computer-aided decision support systems. In order to bring automation to reconfiguration decision making in a multi-vendor resource environment, a common formal resource model, representing the functionalities and constraints of the resources, is required. This paper presents the systematic development process of an OWL-based manufacturing resource capability ontology (MaRCO), which has been developed to describe the capabilities of manufacturing resources. As opposed to other existing resource description models, MaRCO supports the representation and automatic inference of combined capabilities from the representation of the simple capabilities of co-operating resources. Resource vendors may utilize MaRCO to describe the functionality of their offerings in a comparable manner, while the system integrators and end users may use these descriptions for the fast identification of candidate resources and resource combinations for a specific production need. This article presents the step-by-step development process of the ontology by following the five phases of the ontology engineering methodology: feasibility study, kickoff, refinement, evaluation, and usage and evolution. Furthermore, it provides details of the model's content and structure.

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Section: Discussionmentioning

confidence: 99%

Section: (D) Competency Questionsmentioning

confidence: 99%

The development of an ontology for describing the capabilities of manufacturing resources

et al. 2018

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“…Managerial capabilities can be seen through the handling stakeholders and resource risk, for example, to obtain the expected project value [27]. These capabilities should be strengthened to support any process selection process that faces dynamic situations [28] in every selection cycle.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…Project prioritization should be based on resource availability and long-term organizational benefits ( [28,86,108]). Resource capability management ensures that needed resources and capabilities are available on schedule with minimum possible cost and lowest possible loss of long-term opportunities.…”

Section: Prioritization and Balancingmentioning

confidence: 99%

Perspectives on the Capabilities for the Selection of Strategic Projects

2020

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Strategic projects are large scale, complex, and require significant investments and resources. These projects aim at gaining long-term social and economic benefits. Therefore, organizations focusing on strategic projects should use a consistent approach that suits their strategy, capability, and long-term expectations. Based on the four research questions and content analysis of the literature, generic processes used for the strategic project selection in tandem with the managerial capabilities are identified in this paper. The generic processes and managerial capabilities are used to develop a generic framework for strategic project selection. The framework is used for literature analysis in the paper. The review shows that both qualitative and quantitative methods are used for strategic project selection. Some possible research directions have also been proposed at the end of the review. The paper provides value to both researchers and practitioners in terms of tools available and a guidance on project selection through a structured process framework.

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“…In the project planning phase, In order to reduce the postponed or collapse risk of complex shipbuilding projects, more rigorous and reasonable project planning and scheduling schemes are needed. Regarding the shipbuilding project planning and scheduling, a critical thing is the way to take full advantage of all manufacturing resources capacities, thus meeting the overall objectives of the projects [6]. In other words, it is essential for project planning and scheduling schemes in the shipbuilding background to achieve the optimal combination of manufacturing resources of the participating enterprises.…”

Section: Introductionmentioning

confidence: 99%

Research on Collaborative Planning and Symmetric Scheduling for Parallel Shipbuilding Projects in the Open Distributed Manufacturing Environment

Mao

Guo

et al. 2020

Symmetry

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In the current distributed manufacturing environment, more extensive enterprise cooperation is an effective means for shipbuilding companies to increase the competitiveness. However, considering the project scale and the uneven production capacity between the collaborative enterprises, a key issue for shipbuilding companies is to effectively combine the product-oriented project tasks and the specialized production-oriented plants. Due to information privatization, the decision-making process of project planning and scheduling is distributed and symmetric. Existing project scheduling methods and collaboration mechanisms in the shipbuilding industry are somehow inefficient. The aim of the research is to provide an assistant decision-making method to support effective task dispatching and multi-party cooperation for better utilization of the distributed resources and to help project managers control the shipbuilding process. The article initially establishes an agent-based complex shipbuilding project collaborative planning and symmetric scheduling framework, simulating the distributed collaborative decision-making process and bridging the multi-project planning with the individual project scheduling in much detail, which fills the research gap. A negotiation method based on iterative combination auction (ICA) is further proposed to solve the integration problem of project planning and task scheduling, and an illustrative example is conducted to demonstrate the effectiveness and rationality of the methods. Finally, an application case using a prototype system on shipbuilding projects collaborative planning and scheduling will be reported as a result.

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Formal Resource and Capability Models supporting Re-use of Manufacturing Resources

Cited by 24 publications

References 12 publications

The development of an ontology for describing the capabilities of manufacturing resources

The development of an ontology for describing the capabilities of manufacturing resources

Perspectives on the Capabilities for the Selection of Strategic Projects

Research on Collaborative Planning and Symmetric Scheduling for Parallel Shipbuilding Projects in the Open Distributed Manufacturing Environment

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