SCOlog: A logic-based approach to analysing supply chain operation dynamics

Manataki, Areti; Chen-Burger, Yun-Heh; Rovatsos, Michael

doi:10.1016/j.eswa.2013.07.008

Cited by 8 publications

(7 citation statements)

References 49 publications

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“…All authors counter-examined the model to verify its structural consistency and avoid possible unintentional changes in the input parameters. Furthermore, the simulation component of the software tool Supply Chain Guru V R was used to validate the optimal supply network designs in addition to the routing of the drone (Manataki, Chen-Burger, and Rovatsos 2014).…”

Section: Modelling Validation and Verificationmentioning

confidence: 99%

Digital supply network design: a Circular Economy 4.0 decision-making system for real-world challenges

Tsolakis

Harrington

Srai

2021

Production Planning & Control

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This research introduces the idea of 'Circular Economy 4.0' to reflect the emergence of 'digitalised' sustainable supply networks. While often characterised by enhanced productivity and resource/energy efficiency, current perspectives are largely descriptive with limited practical relevance. A hierarchical decision-making framework and a multi-level simulation modelling and optimisation technique are constructed to explore the interplay between Circular Supply Chains and Industry 4.0. The real-world case of blue-green algae as renewable feedstockto derive value-added omega-3 oils and biofertilisersis investigated to develop 'Circular Economy 4.0' perspectives. The emerging circular supply network utilises micro-factories (i.e., photobioreactors), continuous manufacturing technologies (i.e., piezoelectric transducers), and drone operations for feedstock availability monitoring. This study contributes to theory and practice by building on the limited empirical research exploring determinants of successful transitions in Circular Economy-Industry 4.0 network contexts. Four design principles are proposed that capture the interplay between digital technologies and network design configurations, e.g., centralisedsemi-centraliseddecentralised. Modelling is developed across macro-, meso-, and micro-levels of analysis. Results demonstrate significant gains in terms of resources utilisation and market dynamics, enabled by the adoption of digital operations in a circular economy context, with initial insights on the evolution of such networks.

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Section: Modelling Validation and Verificationmentioning

confidence: 99%

Digital supply network design: a Circular Economy 4.0 decision-making system for real-world challenges

Tsolakis

Harrington

Srai

2021

Production Planning & Control

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“…For instance, the algebraically formulation of PC tr 1 given by Eq. (1) shows that all the variables that comprise it are inventory-related and the corresponding loadings are positive. Thus, this suggests that PC tr 1 can be interpreted as a weighted average of the inventory level, where samples with high PC tr 1 scores exhibit high inventory levels, and vice versa.…”

Section: Pca Experimental Setupmentioning

confidence: 98%

“…The higher the GDI, the better is the clustering. Regarding the silhouette width metric, it takes values in the compact interval [ 1,1]. For a given observation i, a value of S(i) close to 1 translates into a good clustered observation (perfectly clustered for S(i) = 1).…”

Section: Cluster Validitymentioning

confidence: 99%

“…Aiming to cope with the fast and real time changes on the modern business environments, it is fundamentally important to perceive Supply Chain (SC) dynamics [1], especially at a time where there is a pressing need for SC integration [2]. Bearing in mind that organizations are commonly structured in SCs [3], Supply Chain Management (SCM) plays a paramount role in promoting their success, achieving their objectives and, above all, guaranteeing customer satisfaction [4].…”

Section: Introductionmentioning

confidence: 99%

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<i>K</i>-means clustering combined with principal component analysis for material profiling in automotive supply chains

Gonçalves

Cortez

Carvalho

2021

EJIE

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At a time where available data is rapidly increasing in both volume and variety, descriptive Data Mining (DM) can be an important tool to support meaningful decision-making processes in dynamic Supply Chain (SC) contexts. Up until now, however, scarce attention has been given to the application of DM techniques in the field of inventory management. Here, we take advantage of descriptive DM to detect and grasp important patterns among several features that coexist in a real-world automotive electronics SC. Concretely, Principal Component Analysis (PCA) is employed to analyze and understand the interrelations between ten quantitative and dependent variables in a multi-item/multi-supplier environment. Afterwards, the principal component scores are characterized via a K-means clustering, allowing us to classify the samples into four clusters and to derive di↵erent profiles for the multiple inventory items. This work provides evidence that descriptive DM contributes to find interesting feature-patterns, resulting in the identification of important risk profiles that may e↵ectively leverage inventory management for superior performance.

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“…With the aim of further improving this understanding, we will next extend our approach with simulation capabilities that capture time-and cost-based aspects of patient transfers. We are now working towards mapping the current formalism to SCOlog [23], a knowledge-based framework for simulating and analysing complex systems that measures the time and cost of workflow execution. We believe that SCOlog's automated explanation support and disruption propagation tracking mechanisms can effectively contribute to improvement efforts.…”

Section: Future Workmentioning

confidence: 99%

Tracheostomy Transfers: A Case Study in the Application of Formal Methods to Intra-hospital Patient Transfers

Manataki

Fleuriot

Papapanagiotou

2014

2014 IEEE 27th International Symposium on Computer-Based Medical Systems

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We review a generic framework for rigorous workflow modelling and verification that was recently applied to healthcare collaboration patterns, and we show how it can be utilised to help both medical staff and health informaticians build a systematic understanding of informal practices followed during intra-hospital patient transfers. A case study is discussed, demonstrating how the logical foundations of our approach help capture and enforce significant aspects of intra-hospital transfers that are pertinent to their improvement.

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SCOlog: A logic-based approach to analysing supply chain operation dynamics

Cited by 8 publications

References 49 publications

Digital supply network design: a Circular Economy 4.0 decision-making system for real-world challenges

Digital supply network design: a Circular Economy 4.0 decision-making system for real-world challenges

<i>K</i>-means clustering combined with principal component analysis for material profiling in automotive supply chains

Tracheostomy Transfers: A Case Study in the Application of Formal Methods to Intra-hospital Patient Transfers

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