Closed-loop supply chain potential of agricultural plastic waste : Economic and environmental assessment of bale wrap waste recycling in Finland

It is estimated that 12000 tons of plastic waste is annually generated from the agricultural sector in Finland, and more than half of it comprises bale wrap films. Up to 70% of plastic film waste from the agricultural sector in Finland goes into landfills, and only around 10% is recycled. Recycling plastic material is desirable in order to close the loop in achieving a circular economy. This paper aims to assess the environmental and economic implications of bale wrap collection and recycling within the Finnish context. Two different collection scenarios, S1 (once a year collection) and S2 (twice a year collection), covering 179 farms, were assessed. The research applied vehicle routing problem and environmental life cycle costing to quantify the cost and environmental impact per ton of granulate recycled material produced. It took a consequential approach, where the system boundary was expanded, and product substitution was considered. Overall, S1 offers 27% more economic savings with 36% less global warming potential (GWP) than S2. The collection phase, which has not commonly been included in existing recycling studies, shows significance in both scenarios. Although it only contributed about 0.7-1.2% to GWP, collection accounted for 32-36% of the total economic cost. Critical parameters were primarily associated with the market substitution factor and material loss during the recycling process. This study demonstrates that recycling bale wrap can provide environmental and economic savings. Furthermore, it shows the importance of decision-makers in prioritizing goals to balance environmental and economic objectives.©2021 Elsevier. This manuscript version is made available under the Creative Commons Attribution–NonCommercial–NoDerivatives 4.0 International (CC BY–NC–ND 4.0) license, https://creativecommons.org/licenses/by-nc-nd/4.0/fi=vertaisarvioitu|en=peerReviewed

Information Security Failures Measured and ISO/IEC 27001:2022 Controls Ranked by General Data Protection Regulation Penalty Analysis

Selecting the most important information security controls is a critical and difficult process. Therefore, the decision-making on how to manage risks and threats has to be supported with data-driven performance measurement metrics. This paper identifies and explores the failures and impacts of information security, as well as the most effective controls to mitigate information security risks in organizations. The method of the study was root cause analysis. All year 2020 GDPR penalty cases (n=81) based on misconduct, as defined in GDPR Article 32: “Security of processing” were matched with ISO/IEC 27001:2022 controls, which were used as failure identifiers in the analysis. As a result, the study presents both, the top 10 most frequent and the top 10 most expensive information security failures corresponding to ISO/IEC 27001:2022 controls. Furthermore, the study also illustrates the correlation of these controls.©2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.fi=vertaisarvioitu|en=peerReviewed

Cloud manufacturing system for sheet metal processing

Cloud computing is changing the way industries and enterprises run their businesses. Cloud manufacturing is emerging as an approach to transform the traditional manufacturing business model, while helping the manufacturer to align production efficiency with its business strategy, and creating intelligent factory networks that enable collaboration across the whole enterprise. Many production planning and control (PPC) problems are essentially optimisation problems, where the objective is to develop a plan that meets the demand at minimum cost or maximum profit. Because the underlying optimisation problem will vary in the different business and operation phases, it is important to think about optimisation in a dynamic mechanism and in a number of interlinked sub-problems at the same time. Cloud manufacturing has the potential to offer decision support as a service and medium of communication in PPC. To solve these problems and produce collaboration across the supply chain, this paper provides an overview of the state of the art in cloud manufacturing and presents a model of cloud-based production planning and production system for sheet metal processing.fi=vertaisarvioitu|en=peerReviewed

Artificial intelligence in operations management and supply chain management : an exploratory case study

With the development and evolution of information technology, competition has become more and more intensive on a global scale. Many companies have forecast that the future of operation and supply chain management (SCM) may change dramatically, from planning, scheduling, optimisation, to transportation, with the presence of artificial intelligence (AI). People will be more and more interested in machine learning, AI, and other intelligent technologies, in terms of SCM. Within this context, this particular research study provides an overview of the concept of AI and SCM. It then focuses on timely and critical analysis of AI-driven supply chain research and applications. In this exploratory research, the emerging AI-based business models of different case companies are analysed. Their relevant AI solutions and related values to companies are also evaluated. As a result, this research identifies several areas of value creation for the application of AI in the supply chain. It also proposes an approach to designing business models for AI supply chain applications.© 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.fi=vertaisarvioitu|en=peerReviewed

Monetary and environmental damage cost assessment of source-separated biowaste collection : Implications of new waste regulation in Finland

This study develops a cost model covering monetary and environmental damage costs for source-separated biowaste collection. The model provides an improved basis for decision-making by including environmental damage costs compared to the assessment that considers the only monetary cost. The monetary cost calculation integrated route optimisation using existing road networks, while the environmental damage cost was estimated using the life cycle impact assessment method based on the endpoint (LIME) model. The model was tested in the Finnish case where the new law implements the stricter requirement for source-separated biowaste. The costs of collection, transportation and treatment of three different scenarios were assessed: mixed waste under the old law (MW-OL), biowaste under the new law (B-NL) and mixed waste without biowaste under the new law (MW-NL). The results showed the economic and environmental benefits of sourced separated biowaste. The overall cost of collection and transportation (CT) under the old law and new laws were 80.7 € Mg−1 and 81.1 € Mg−1, respectively. Treatment costs were 79 € Mg−1 and 64.8 € Mg−1 under the old and new laws, respectively. The damage costs for CT under the old and new laws were 0.23 € Mg−1 and 0.24 € Mg−1, respectively. At the same time, the damage costs from the treatment stage were 4.9 € Mg−1 and 3.5 € Mg−1 under the old law and new law, respectively. The model supports decision-making when the collection scheme requires a change. Failing to plan an optimised solution and cost will lead to inefficient systems.© The Author(s) 2022. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).fi=vertaisarvioitu|en=peerReviewed

Information security failures identified and measured – ISO/IEC 27001:2013 controls ranked based on GDPR penalty case analysis

This paper identifies the failures and impacts of information security, as well as the most effective controls to mitigate information security risks in organizations.Root cause analysis was conducted on all year 2020 GDPR penalty cases (n = 81) based on misconduct as defined in GDPR article 32: “security of processing.” ISO/IEC 27,001 controls were used as failure identifiers in the analysis. As a result, this study presents both the most frequent and most expensive information security failures and correspondingly ranks and presents the correlation of the controls observed in the analysis. From a theoretical perspective, our study contributes by bridging the gap between regulation and information security and introduces a statistical method to analyze the GDPR penalty cases, and provides previously unreported findings about information security failures and their respective solutions. From a practical perspective, the results of our study are useful for organizations which aspire to manage information security more effectively in order to prevent the most typical and expensive information security failures. Organizations, as well as auditors implementing and assuring the ISO 27001, may use our results as a guideline whereby controls should be applied and verified first in sequential order based on their impact and interdependence.© 2023 The Author(s). Published with license by Taylor & Francis Group, LLC. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.fi=vertaisarvioitu|en=peerReviewed

Circular economy through waste reverse logistics under extended producer responsibility in Finland

Extended producer responsibility (EPR) is commonly implemented as a strategy in waste management. The core of the concept itself is a waste reverse logistics (WRL), which dictates how the collection, inspection and processing of end-of-life products are performed. Existing studies of EPR mainly focused on single products instead of using broader perspective on national level. Its contribution towards circular economy through slowing and closing the loops also has not been widely discussed. This study examined the system architecture of the policy instruments used in the EPR and the similarities of the WRL networks across different products. A case study was used to investigate six products: portable batteries and accumulators, paper, packaging, vehicles, electrical and electronic equipment (EEE) and tyres. The study generated a WRL framework. It is also observed that closing the loop through recycling is the primary circular strategy and is found in all products, whereas closing and slowing the loop strategy through reuse/repair, remanufacture and repurposing is found in packaging, tyres, vehicles and EEE. This study shows that EPR can close the material loop, although improvement in design for the environment is necessary. It creates challenges and opportunities for the government, producer responsibility organization and producers to improve existing conditions by implementing new initiatives such as design for the environment indicators, standardization, tax and subsidy systems and tariffs for disposal fees.© The Author(s) 2023. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).fi=vertaisarvioitu|en=peerReviewed

An agent-based simulation and logistics optimization model for managing uncertain demand in forest supply chains

This paper aims to model and minimize transportation costs in collecting tree logs from several regions and delivering them to the nearest collection point. This paper presents agent-based modeling (ABM) that comprehensively encompasses the key elements of the pickup and delivery supply chain model and presents the units as autonomous agents communicating. The modeling combines components such as geographic information systems (GIS) routing, potential facility locations, random tree log pickup locations, fleet sizing, trip distance, and truck and train transportation. ABM models the entire pickup and delivery operation, and modeling outcomes are presented by time series charts such as the number of trucks in use, facilities inventory, and travel distance. In addition, various simulation scenarios are used to investigate potential facility locations and truck numbers and determine the optimal facility location and fleet size.© 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/).fi=vertaisarvioitu|en=peerReviewed

Virtual supply chain for networked business : perspective of collaborative bill-of-materials, scheduling and process monitoring for developing innovative product

This article presents a methodology applicable to the formation of collaborative bill-of-materials (C-BOM), coordinating production scheduling and monitoring operational processes. The concept of collaborative product development process is described in detail through an example network, where the participating organisations form a temporary virtual organisation (VO) and contribute throughout the entire product development processes. In this paper, the basic need for exchanging product information among the partners is carried out through IT-based software tools, where the partners are enabled to visualise and monitor the operational processes in a real-time environment. This research study concludes with the overall research outcomes and future research directions.fi=vertaisarvioitu|en=peerReviewed