International Journal of Integrated Supply Management
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International Journal of Integrated Supply Management (5 papers in press)
An exploratory survey on the impacts of Logistics 4.0 on Italian manufacturing companies by Marco Ardolino, Andrea Bacchetti, Marco Perona, Ting Zheng, Federico Adrodegari Abstract: This article focuses on manufacturing logistics, exploring how Italian companies are approaching Logistics 4.0. The purpose is to evaluate the state of the art of technology adoption, highlighting the main influencing factors, and showing the related benefits and obstacles. An exploratory survey was carried out on 91 Italian manufacturing companies. The significance of the influence of the factors analysed regarding the level of adoption of L4.0 has been demonstrated. The study also included eight interviews with survey respondents undertaken to validate the main insights from the survey results. The overall results indicate that the adoption of Logistics 4.0 is still immature but has huge potential. Moreover, the few companies adopting at least one technology have sought benefits related mainly to warehouse activities and efficiency in process operations. The awareness that L4.0 intends a harmonious and integrated implementation of digital technologies to support logistics processes has not yet become widespread. Keywords: Logistics 4.0; Industry 4.0; digital technologies; manufacturing; exploratory survey. DOI: 10.1504/IJLSM.2021.10040263
A memetic algorithm for integrated location-inventory problem to optimize the total cost and customer service level by Gholam Reza Nasiri, Ali Fallah, Hmid Davoudpour Abstract: This paper proposes a mixed integer nonlinear mathematical formulation for an integrated location/allocation problem with uncertain demands. The model includes inventory policy, service level optimisation, logistics decisions and transportation modes. Two integrated and sequential solution approaches based on the memetic algorithm are used to solve the real-size problems. Furthermore, an upper bound inventory approximation is proposed for improvement of capacity planning. The implementation outputs indicate that integrated procedure results are considerable for a wide range of problem sizes, with average cost saving about 1.8%. The ANOVA analysis shows that the difference between CPU time values of the two procedures is significant. More detailed analysis is provided to prove the efficiency of the proposed solution approach. Keywords: service level optimisation; inventory control decisions; capacity planning; distribution network design; risk pooling effect; memetic algorithm. DOI: 10.1504/IJISM.2022.10041127
Supply chain ripple effect: impact of disruption profile and priority scheduling rules for perishable inventory by Maxim Rozhkov Abstract: This article covers the influence of supply chain structure and operations on supply chain resilience in general and the ripple effect specifically. We compare different resilience mitigation policies via an agent-based simulation model and show that in the presence of product perishability, the alternative sourcing policy has superior performance compared to inventory buffer creation or disruption acceptance. We analyse two supply chain contours in parallel with simultaneous and independent disruption modes. Disruption mitigation profile and the effects caused by it show that supply capacity deficit is a crucial factor defining supply chain inventory dynamics. Inventory priority scheduling rules change supply chain dynamics during different disruption impact phases. Keywords: supply chain; disruption; simulation; ripple effect; agent-based simulation. DOI: 10.1504/IJISM.2022.10041675
Sustainable Supplier Evaluation and Selection in Developing Countries; An Integrated Fuzzy Framework by Mehdi Tolooie, Mohsen Alvandi, Mahyar Shahpouri Arani Abstract: Evaluation and selection of suppliers play a vital role in improving their sustainability performance. In this regard, evaluating the sustainability performance of suppliers is much more critical in developing countries. These countries are among the best destinations for supplying raw materials and workforce utilisation because of lower costs. In recent years, various multi-criteria decision aiding (MCDA) frameworks utilised to evaluate suppliers based on sustainable aspects. However, few studies analysed the evaluation and selection of suppliers sustainability in an integrated fuzzy MCDA model regarding the supplier selection process and developing nations. This research presents a comprehensive, integrated fuzzy decision model for sustainable supplier evaluation and selection using an integrated FDelphi-FDEMATEL-FANP-FVIKOR by considering sustainability (social, economic and environmental). Also, this research provides a comprehensive analysis of MCDA techniques literature in terms of the main steps of sustainable supplier selection (e.g., formulation of criteria, handling of criterions interaction, weight calculation and final selection). The previous research rarely considered the evolution of suppliers sustainability according to its steps in the literature. This framework assists supply chain managers and practitioners better understand the extraordinary role of these steps on businesses. This researchs proposed framework is validated by a numerical example taken from Irans automotive industry. Keywords: supply chain management; sustainable supplier selection; SSS; fuzzy MCDM; developing countries. DOI: 10.1504/IJISM.2022.10042126
A causal structure between total quality management, organizational culture, knowledge management, supplier integration and supply chain performance- FMCG case study by Seyedehfatemeh Golrizgashti, Hadi Mohammadi Bidhandi, Mohsen Safari, Hirad Hodaei Abstract: Supply chains face many challenges in competitive fast-moving consumer goods market such as integration and collaboration among their partners especially suppliers. The proposed conceptual casual model emphasizes customer-supplier interfaces as a key characteristic of applying total quality management practices and its impact on supply chain performance. The structural equation modelling and partial least squares non-parametric method are applied through the use of empirical data collected from studied companies. The results show that total quality management practices has the most effect on supplier integration and supply chain performance respectively. The other highest effects include organisational culture on supply chain performance, total quality management on knowledge management, organisational culture on total quality management, knowledge management on supplier integration and supplier integration on supply chain performance. Knowledge management does not have direct impact on supply chain performance. This study provides some managerial suggestions to improve supply chain performance. Keywords: supply chain performance; SCP; organisational culture; supplier integration; SEM-PLS; knowledge management; total quality management; TQM. DOI: 10.1504/IJISM.2021.10043947