Task ontology for supply chain planning – a literature review

Scheuermann, Andreas; Leukel, Joerg

doi:10.1080/0951192x.2013.834472

Cited by 10 publications

(3 citation statements)

References 38 publications

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“…Study the relationship between concepts and concepts in specific tasks from the perspective of reasoning and problemsolving Supply chain planning task ontology (Scheuermann and Leukel, 2014) Geographic information ontology (Lutz and Klien, 2006)…”

Section: Task Ontologymentioning

confidence: 99%

A method for the ontology-based risk management of PPP construction projects

Jiang

Wang

Liu

et al. 2022

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Purpose With the increasing complexity of public–private partnership (PPP) projects, the amount of data generated during the construction process is massive. This paper aims to develop a new information management method to cope with the risk problems involved in dealing with such data, based on domain ontologies of the construction industry, to help manage PPP risks, share and reuse risk knowledge. Design/methodology/approach Risk knowledge concepts are acquired and summarized through PPP failure cases and an extensive literature review to establish a domain framework for risk knowledge using ontology technology to help manage PPP risks. Findings The results indicate that the risk ontology is capable of capturing key concepts and relationships involved in managing PPP risks and can be used to facilitate knowledge reuse and storage beneficial to risk management. Research limitations/implications The classes in the risk knowledge ontology model constructed in this research do not yet cover all the information in PPP project risks and need to be further extended. Moreover, only the framework and basic methods needed are developed, while the construction of a working ontology model and the relationship between implicit and explicit knowledge is a complicated process that requires repeated modifications and evaluations before it can be implemented. Practical implications The ontology provides a basis for turning PPP risk information into risk knowledge to allow the effective sharing and communication of project risks between different project stakeholders. It can also have the potential to help reduce the dependence on subjectivity by mining, using and storing tacit knowledge in the risk management process. Originality/value The apparent suitability of the nine classes of PPP risk knowledge (project model, risk type, risk occurrence stage, risk source, risk consequence, risk likelihood, risk carrier, risk management measures and risk case) is identified, and the proposed construction method and steps for a complete domain ontology for PPP risk management are unique. A combination of criteria- and task-based evaluations is also developed for assessing the PPP risk ontology for the first time.

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Section: Task Ontologymentioning

confidence: 99%

A method for the ontology-based risk management of PPP construction projects

Jiang

Wang

Liu

et al. 2022

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“…Although current research for industry applications covers many of the issues that appear crucial in relation to Semantic Web technologies, state of science and technology is considered to be limited to proprietary implementations with regard to industrial environments (Leite et al 2019). In the area of supply chains in general and Supply Chain Management and Planning more specifically, some ontology-based models have already been introduced in the research community (Ye et al 2008, Zhai et al 2008, Scheuermann and Leukel 2014, Pal 2017). More recently one focus is, among others, on managing Retail Supply Chains with the help of service-oriented computing (SOA) based on Semantic Web (Pal 2018).…”

Section: Related Workmentioning

confidence: 99%

A Holistic Digital Twin Based on Semantic Web Technologies to Accelerate Digitalization

Moder

Ehm

Jofer

2020

Lecture Notes in Electrical Engineering

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This proposed research is concerned with the development of a Semantic Web representation of supply chains deploying and manufacturing semiconductors. The so-called digital twin is a prototype for virtualizing the electronic component supplier (ECS) value chain, aiming for a holistic digitalization across the entire product life cycle. With its unique advantages, Semantic Web will contribute to overcoming current Big Data issues and to getting one step closer to smart factories. This includes enhanced smart collaboration between both business and project partners. Furthermore, it is shown in first business use cases how the developed ontology is supporting selected applications to manage data more efficiently and to build a comprehensive knowledge representation.

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“…As regards organization of product flow through one-way flow systems, permutation systems and systems in which the order of product flow between particular groups of network links (suppliers and recipients) may change, have been discussed. A later review of the literature related to supply network management was prepared by Georgi et al [11] and Scheuermann and Leukel [12]. In their paper they have included an analysis of several international journals relating to supply chain research.…”

Section: Introductionmentioning

confidence: 99%

A multi-level method of support for management of product flow through supply chains

Magiera¹

2015

Bulletin of the Polish Academy of Sciences Technical Sciences

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Abstract. The paper presents a three-level method used to support the management of product flow through supply chain links (e.g. production lines) and between these links: suppliers and recipients of products of various types.The supply chain includes both producers of components (suppliers) and recipients of these components, which are used for the production of complex goods. The method is dedicated to the development of schedules of product flows through particular production plants (links in supply chains) and between individual plants. Each module of the developed system refers to a separate production plant. The organization of product flow through production lines covers different types of production routes and different configurations of production systems. At the first level of the method, preliminary production schedules are developed for each plant within the supply chain. The second level of the method is dedicated to the development of delivery schedules of components and semi-finished products to these plants. The determined delivery times of components to the individual production plants constitute data for the third level of the method. At this lowest level, detailed schedules of product flow through production lines with the producers of complex goods are developed. Linear mathematical models have been built for each level of the method. In the developed method, optimization take place in the developed method in the scale of the entire supply chain (cost reduction), as well as in the scale of its links (production lines for which manufacturing schedules are built with various criteria taken into consideration). The computational experiments used for verification of the method have been included.

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Task ontology for supply chain planning – a literature review

Cited by 10 publications

References 38 publications

A method for the ontology-based risk management of PPP construction projects

A method for the ontology-based risk management of PPP construction projects

A Holistic Digital Twin Based on Semantic Web Technologies to Accelerate Digitalization

A multi-level method of support for management of product flow through supply chains

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