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1.
Considering IT trends for modelling investments in supply chains by prioritising digital twins
Nena Orel Šanko, Borut Jereb, Matevž Obrecht, 2023, izvirni znanstveni članek

Opis: Supply chain disruptions and challenges have and will always exist, but preparing in advance and improving resilience for the upcoming consequences should be the utmost important goal. This paper explores trends that affect innovation in the technological sphere of supply chain systems. More precisely, the research is focused on Digital Twin technology applicability through other logistics IT trends and aims to research the pressing issue of ensuring the visibility and resilience of future supply chain systems. The paper’s objective is to produce a conceptual model enabling the investment assessment of the necessary IT resources. Initially, a theoretical confirmation of logistics IT trends’ relevance to supply chain systems was established. After, propositions of Digital Twin technology applications to other logistics IT trends were made, which were divided into corresponding constant multitudes of supply chain systems. Lastly, the conceptual model for the investment assessment of the necessary IT resources was derived in the form of a matrix. It considers 16 parameters for investment assessment and applicability to all companies, regardless of their specifics. It also supports the notion of digital IT competencies’ fundamental importance to the continuous operation of supply chain systems.
Ključne besede: supply chain management, logistics, process optimisation, visibility, resilience, Digital Twin
Objavljeno v DKUM: 03.04.2023; Ogledov: 550; Prenosov: 66
.pdf Celotno besedilo (1,03 MB)

2.
Opportunities for the applications of FMEA Model in logistics processes in Bulgarian enterprises
Maria Vodenicharova, 2017, izvirni znanstveni članek

Opis: The article explores the use of FMEA method in the logistics processes in manufacturing plants in Bulgaria. The surveyed enterprises have a system ISO 9001 and apply different methods of analysis and assessment of logistics processes. The purpose of this study is to present a model for improving the reliability of logistics processes through the FMEA (Failure Mode and Effect Analysis) method. An inquiry among 14 organizations in the implementation of FMEA was conducted. The results show that FMEA is not used for assessment in logistics processes and provides useful insights for decision-making to improve the reliability of supply. A framework based on the survey is presented for determining the reliability of logistics processes in manufacturing plants. The study demonstrates the applicability of the method in logistics processes and the role FMEA can play in assessing logistics processes.
Ključne besede: failure mode effects and analysis (FMEA), logistics process, quality
Objavljeno v DKUM: 17.11.2017; Ogledov: 2043; Prenosov: 501
.pdf Celotno besedilo (247,27 KB)
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3.
Segmenting risks in risk management
Borut Jereb, 2009, izvirni znanstveni članek

Opis: The paper describes a segmentation of risks to make each risk segment more manageable. The proposed approach is primarily intended to improve the confidentiality of risk simulations. The description of the approach is based on a logistics business process system which requires that its input is represented as a process graph. Each process is defined in terms of input and output; input comprises general input as well as risks; output comprises general output as well as impacts. The model takes into consideration internalas well as external input and output. Parameters can be used to define individual processes. Processes include functions that calculate new values of parameters and output on the bases of given input. Based on given tolerance levels for risks, impacts and process parameters, the model determines whether these levels are acceptable. The model assumes that parameters and functions are non-deterministic, i.e. parameters and functions may change in time. Although the approach is described on a very general level, each segment can be further subdivided into subsegments in order to include more characteristics of observed risks.
Ključne besede: risk, impact, segmentation, risk management, process parameters, logistics, model, simulation tools, non-deterministic
Objavljeno v DKUM: 05.06.2012; Ogledov: 2069; Prenosov: 53
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