Towards a Decision-Making Framework for Successful ERP Project Implementation: A Qualitative Study

Production Engineering Archives, Journal Year: 2025, Volume and Issue: 31(1), P. 91 - 105

Published: Feb. 28, 2025

Abstract Digital transformation has become a strategic imperative for businesses across industries in today’s rapidly evolving technological landscape. At the heart of this lies Enterprise Resource Planning (ERP), comprehensive software solution that integrates various aspects business to streamline operations, optimize resources, and enhance decision-making. The purpose study is present different fixed costs ERP projects, develop framework includes dynamic cost elements critical decisions during whole project lifecycle, examine tangible benefits through case studies from literature. By thoroughly understanding key considerations adoption, organizations can make informed lead successful implementations. This work was carried out an analysis literature reviews. qualitative approach chosen using focus group discussions followed by Delphi method conduct semi-structured interviews among eight industry experts verify validate results. Based on framework, decision-makers have global picture lifecycle phases, activities, must be taken company their options, as well related criteria consider. findings will aid implement systems gaining better helping managers think about feasible optimal implementation options.

Language: Английский

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Reshoring Decisions in Supply Chains and Industry 5.0 Optimization: AI Based Sustainable Decision Support Model

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 2, 2025

Global supply chains face increasingly uncertain phenomena and reshoring decisions have become a strategic necessity. This paper presents an artificial intelligence-based decision support model for optimizing processes in connection with sustainability Industry 5.0 principles. The developed supports multidimensional decision-making chain management by using big data analytics, machine learning optimization techniques. proposed framework evaluates critical factors such as lead time, cost, operational risks, environmental impact, resilience integrated approach. Combining different sources, the allows makers to determine most appropriate strategies conducting dynamic scenario analyses. approach, which adopts human-machine collaboration approach of 5.0, not only increases economic efficiency, but also contributes principles sustainable production management. With study, it is aimed make significant contributions academic literature industrial applications presenting new perspective on decisions.

Language: Английский

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Analytical and Simulation Models as Decision Support Tools for Supply Chain Optimization - An Empirical Study

Lecture notes in networks and systems, Journal Year: 2024, Volume and Issue: unknown, P. 197 - 206

Published: Jan. 1, 2024

Language: Английский

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Eco-Virtual as the Role of Virtual Reality Transformations in Environmental Engineering

Advances in computer and electrical engineering book series, Journal Year: 2024, Volume and Issue: unknown, P. 82 - 102

Published: June 30, 2024

With the emergence of VR, a new opportunity was opened for discussion in many sectors, including environmental engineering. This chapter addresses integration virtual reality within sustainability, and how application VR technology has disrupted engineering field by aiding architects engineers their designs assessments any built environment. empowers to work through tagged models make eco-friendly decisions. It is also worth mentioning that contrast real world, capable simulating complex interactions with environment visualizing real-time effects, which can be regarded as an advantage. evident use platforms, it possible mimic some settings are risky students professionals enact on while practice. The concludes highlighting further development research industry way more sophisticated engineering, thereby global sustainable goals.

Language: Английский

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Development of a Residual Biomass Supply Chain Simulation Model Using AnyLogistix: A Methodical Approach

Logistics, Journal Year: 2024, Volume and Issue: 8(4), P. 107 - 107

Published: Oct. 18, 2024

Background: In the pursuit of sustainable energy sources, residual biomass has emerged as a promising renewable resource. However, efficiently managing poses significant challenges, particularly in optimizing supply chain operations. Advanced modeling approaches are necessary to address these complexities. This study aims develop comprehensive methodological framework for creating simulation models tailored agroforestry chains. Methods: The employs hybrid approach, integrating geographic information system mapping with case analysis. was conducted over 365-day period, using anyLogistix software (version 2.15.3.202209061204) model various dynamics. also accounts financial, operational, customer satisfaction, and environmental metrics. Results: results showed total expenditure EUR 5,219,411.3, transportation being primary cost driver, involving 5678 trips peak capacity 67.16 m3. CO2 emissions were measured at 487.7 kg/m3. performed expected, highlighting need logistics strategies reduce costs, lower losses, improve productivity. Conclusions: presents one first detailed frameworks simulating It provides valuable managerial insights into aspects management. findings may stakeholders make informed decisions enhance sustainability utilization production.

Language: Английский

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Highlighting Sustainability Criteria in Residual Biomass Supply Chains: A Dynamic Simulation Approach

Sustainability, Journal Year: 2024, Volume and Issue: 16(22), P. 9709 - 9709

Published: Nov. 7, 2024

As environmental sustainability gains importance, enhancing supply chains to minimize hazards is essential, particularly in industries using residual biomass. This study tackles this by investigating the integration of criteria into chain optimization for a biomass energy company Portugal, combination simulation modeling through anyLogistix software (version: 2.15.3.202209061204) and multi-criteria decision-making. Four scenarios were designed simulated, differing their number distribution centers, adoption green logistics, split-by-ratio strategies over 305-day period. Through weighted sum model, Scenario C emerged as optimal configuration, achieving balance between operational efficiency reducing CO2 emissions up 90% lowering transportation costs without compromising revenue. Sensitivity analysis further highlighted trade-offs cost efficiency, lead times, impact, showing that strategic placement centers use eco-friendly vehicles significantly improve chain. These findings provide practical insights decision-makers, demonstrating how digital tools can enhance management optimizing goals simultaneously. research contributes fields sustainable logistics validating effectiveness decision-making approaches impact while maintaining economic viability.

Language: Английский

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Business Management in the Information Age: Use of Systems, Data Processing and Scalability for Organizational Efficiency

ICST Transactions on Scalable Information Systems, Journal Year: 2024, Volume and Issue: unknown

Published: March 21, 2024

Abstract: This article reviews the challenges and opportunities facing companies in business management era of information. Challenges managing large volumes data, emerging trends cybersecurity, companies' ability to adapt digitalized environment are analyzed. The methodology used includes an exhaustive search articles indexed journals application inclusion criteria select 50 relevant articles. Key findings include obstacles data management, increasing sophistication cyber threats, adaptation strategies such as digital transformation integration technologies. In conclusion, importance addressing these leveraging presented by technology enhance efficiency competitiveness is highlighted.

Language: Английский

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Evaluating Service Quality in Automotive Outsourcing: Gaps Between Standards and Practice

System Safety Human - Technical Facility - Environment, Journal Year: 2024, Volume and Issue: 6(1)

Published: Dec. 1, 2024

Abstract Outsourcing plays a pivotal role in the automotive industry, enabling companies to optimize processes and focus on core competencies. However, evaluating service quality remains challenge due significant gaps between standardized frameworks, such as ISO 9001 IATF 16949, practical requirements of collaboration with providers. This article reviews current research evaluation sector, emphasizing specific attributes relationships providers recipients. The paper also analyses findings from pilot studies, which highlight importance developing integrated methodologies for assessing quality. These aim effectively bridge theoretical standards operational practices. results underline need further unify models, contributing enhanced outsourcing management across industry.

Language: Английский

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