[HTML][HTML] Supply Chain 4.0 performance measurement: A systematic literature review, framework development, and empirical evidence

K Govindan, D Kannan, TB Jørgensen… - … Research Part E …, 2022 - Elsevier
Companies require a greater understanding of the Supply Chain (SC) benefits that can be
gained from industry 4.0 (I4. 0) and, more specifically, which technologies and concepts that …

[HTML][HTML] Simulation methods and digital strategies for supply chains facing disruptions: Insights from a systematic literature review

B Korder, J Maheut, M Konle - Sustainability, 2024 - mdpi.com
Supply chain disruptions pose significant economic stability and growth challenges,
impacting industries globally. This study aims to systematically review the literature on the …

[HTML][HTML] Development of a multidimensional conceptual model for job shop smart manufacturing scheduling from the Industry 4.0 perspective

JC Serrano-Ruiz, J Mula, R Poler - Journal of Manufacturing Systems, 2022 - Elsevier
Based on a scientific literature review in the conceptual domain defined by smart
manufacturing scheduling (SMS), this article identifies the benefits and limitations of the …

Deploying hybrid modelling to support the development of a digital twin for supply chain master planning under disruptions

E Badakhshan, P Ball - International Journal of Production …, 2024 - Taylor & Francis
Supply chains operate in a highly distuptive environment where a SC master plan should be
updated in line with disruptions to ensure that a high service level is provided to customers …

Incorporating supply and production digital twins to mitigate demand disruptions in multi-echelon networks

KYH Lim, CH Chen - International Journal of Production Economics, 2024 - Elsevier
In today's globalized environment, supply chain (SC) and manufacturing operations are
intrinsically linked to satisfy consumer demand. Faced with rising preferences for …

[HTML][HTML] Modeling of the master production schedule for the digital transition of manufacturing SMEs in the context of industry 4.0

E Tobon-Valencia, S Lamouri, R Pellerin, A Moeuf - Sustainability, 2022 - mdpi.com
The purpose of this article is to propose a guide for the digital transformation (4.0) of a
manufacturing SME's medium-term production planning process, the master production …

A systematic selection process of machine learning cloud services for manufacturing SMEs

C Kaymakci, S Wenninger, P Pelger, A Sauer - Computers, 2022 - mdpi.com
Small and medium-sized enterprises (SMEs) in manufacturing are increasingly facing
challenges of digital transformation and a shift towards cloud-based solutions to leveraging …

[HTML][HTML] Principles for Sustainable Integration of BIM and Digital Twin Technologies in Industrial Infrastructure

V Badenko, N Bolshakov, A Celani, V Puglisi - Sustainability, 2024 - mdpi.com
As industries evolve towards greater digitalization, integrating Building Information Modeling
(BIM) and digital twin technologies presents a unique opportunity to enhance sustainability …

[HTML][HTML] Machine Learning for Master Production Scheduling: Combining probabilistic forecasting with stochastic optimisation

S Paull, A Bubak, H Stuckenschmidt - Expert Systems with Applications, 2025 - Elsevier
This research paper delves into the challenges of Supply Chain (SC) planning under
demand uncertainty, focussing on Master Production Scheduling (MPS) with capacity …

Performance measurement of e-commerce supply chains using BWM and fuzzy TOPSIS

BB Praneeth, SP Nadeem, KEK Vimal… - International Journal of …, 2023 - emerald.com
Purpose The purpose of this paper is to persuade a hybrid framework, which can be used to
assess the performance of various supply chains and can be further used to segregate …