Article
Computer Science, Artificial Intelligence
Zilong Shang, Xiaoying Yang, David Barnes, Chong Wu
Summary: This paper proposes a novel fuzzy MULTIMOORA-based method for sustainable supplier selection (SSS). The method combines subjective and objective approaches to determine criteria weightings and introduces an improved fuzzy MULTIMOORA method to rank alternative suppliers. The practicality and effectiveness of the proposed method is verified in an illustrative application.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Bibhas Chandra Giri, Mahatab Uddin Molla, Pranab Biswas
Summary: The paper presents a DEMATEL method based on Pythagorean fuzzy set for solving the supplier selection problem in sustainable supply chain management. The method considers handling uncertainty and incomplete information, as well as dealing with the fuzziness of human decisions. The proposed method allows for identifying the cause-effect components of the system.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Mathematics
Jui-Fang Chang, Chao-Jung Lai, Chia-Nan Wang, Ming-Hsien Hsueh, Van Thanh Nguyen
Summary: Choosing a supplier is a complex decision-making process that can be supported by using multicriteria decision-making models. This paper presents an integrated mathematical model under a fuzzy environment and applies it to the supplier selection process in the garment industry. The study results show that supplier 08 is the optimal supplier, and this approach can also be applied to support complex decision-making processes in different industries.
Article
Computer Science, Interdisciplinary Applications
Huai-Wei Lo, Ching-Fang Liaw, Muhammet Gul, Kuan-Yu Lin
Summary: This study proposes a two-stage multi-criteria decision-making approach for sustainable supplier evaluation and transportation planning in multi-level SCNs. The fuzzy multi-objective linear programming method is used to solve the supplier selection and transportation planning problem, effectively evaluating sustainable supplier performance and optimizing transportation planning in SCNs.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Engineering, Industrial
Li Cui, Hao Wu, Jing Dai
Summary: Supplier selection is a crucial decision for buying companies' sustainable supply chain strategy. It is important for buying companies to extend their sustainable supply chain plan to multitier suppliers and develop multitier sustainable supply chain management. Sustainable supplier selection can enhance the sustainable competitiveness of supply chains, but there are few theoretical studies on this topic under multitier sustainable supply chain management.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Mathematics
Chia-Nan Wang, Ngoc-Ai-Thy Nguyen, Thanh-Tuan Dang, Chen-Ming Lu
Summary: The COVID-19 pandemic has accelerated the growth of e-commerce and significantly impacted global supply chains. Vietnam's logistics service sector has rapidly expanded as more businesses turn to third-party logistics providers for outsourcing. A hybrid multi-criteria method combining FAHP and FVIKOR has been used to evaluate and select the most efficient 3PLs, with reliability, delivery time, logistics cost, and quality of service identified as key factors influencing outsourcing decisions.
Article
Computer Science, Artificial Intelligence
Tugce Sisman, Sinem Bueyueksaatci Kiris, Dilek Yilmaz
Summary: The literature on sustainable supplier management mainly focuses on the selection of sustainable suppliers, but there is a lack of studies on monitoring and evaluating their performance. This study aims to use the TBL approach to monitor and evaluate the sustainability performance of suppliers in the automotive sector. The study identifies differentiating criteria for supplier selection and monitoring & evaluation, and ranks the sustainable suppliers using fuzzy methods.
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING
(2022)
Article
Computer Science, Artificial Intelligence
Ismail Erol, Ilker Murat Ar, Iskender Peker
Summary: Sustainability has become increasingly important in constructing resilient supply chains. Customers' demand for sustainable products has put pressure on manufacturers and suppliers to become more sustainable globally. Decision-makers are interested in applying disruptive technologies like blockchain to address societal, environmental, and economic concerns. However, existing research lacks a quantitative examination of the critical functions of sustainable supply chains (SSCs) for blockchain applicability. This study investigates the most feasible functions of SSCs for potential blockchain implementations and suggests that sourcing, delivery, transformation, and product recovery are the most appropriate functions. This research provides valuable insights for decision-makers on where blockchain can create additional value in SSCs.
APPLIED SOFT COMPUTING
(2022)
Article
Operations Research & Management Science
Dragan Pamucar, Ali Ebadi Torkayesh, Sanjib Biswas
Summary: This paper proposes a novel decision-making approach for supplier selection during the COVID-19 pandemic. The approach utilizes MACBETH and a new combinative distance-based assessment method, and incorporates fuzzy rough numbers to handle the uncertainty of decision-making problems. A case study of a hospital in Istanbul validates the applicability of the approach.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Thermodynamics
Naijie Chai, Wenliang Zhou, Gabriel Lodewijks, Ziyu Chen
Summary: This study compares four fuzzy multi-criteria decision-making methods for selecting a sustainable battery supplier (SBS) for a battery-swapping station. The results of a case analysis demonstrate that economic criteria are the most important, and fuzzy VIKOR shows greater potential in sustainable supplier decision analysis.
INTERNATIONAL JOURNAL OF GREEN ENERGY
(2023)
Article
Computer Science, Artificial Intelligence
Chong Wu, Yang Lin, David Barnes
Summary: This study proposes a hybrid multi-method and multi-criteria decision-making framework for sustainable supplier selection in the chemical industry. Specific methods such as Fuzzy Grey Relational Analysis, Failure Mode and Effects Analysis, and cloud computing-entropy weight method are used to analyze the economic, social, and environmental dimensions, respectively. The integration of evaluation results from these dimensions using the Decision-making Trial and Evaluation Laboratory can help managers choose more sustainable suppliers and maintain competitiveness in the market.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Environmental Sciences
Alireza Fallahpour, Sina Nayeri, Mohammad Sheikhalishahi, Kuan Yew Wong, Guangdong Tian, Amir Mohammad Fathollahi-Fard
Summary: This study introduces a fuzzy decision framework to investigate the sustainable-resilient supplier selection problem in the palm oil industry in Malaysia. A hyper-hybrid model is developed using FDEMATEL, FBWM, FANP, and FIS methods. The findings of the study indicate high performance of the proposed framework in identifying important criteria for supplier selection.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Green & Sustainable Science & Technology
Arash Khalili Nasr, Madjid Tavana, Behrouz Alavi, Hassan Mina
Summary: Maximizing resource value and minimizing waste are crucial for sustainability and competitive advantage. This study presents a novel two-stage fuzzy supplier selection and order allocation model in a sustainable closed-loop supply chain, aiming to minimize costs and environmental impacts while maximizing job opportunities and sustainable supplier purchases through various optimization methods.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Raja Awais Liaqait, Salman Sagheer Warsi, Taiba Zahid, Usman Ghafoor, Muhammad Shakeel Ahmad, Jeyraj Selvaraj
Summary: The study highlights the importance of product cost, environmental management system, and health and safety rights of employees in sustainable supplier selection and order allocation in the multi-echelon renewable energy equipment supply chain. The results of the mathematical model emphasize the impact of multimodal transportation on overall cost, time, and environmental impact. Transfer cost, customer clearance cost, and defect rate were identified as significant factors in supplier selection and order allocation.
Article
Computer Science, Artificial Intelligence
Liangcheng Xu, Xiaojian Hu, Yue Zhang, Jingsheng Feng, Suizhi Luo
Summary: In this paper, a multiobjective team optimization model is proposed to tackle the issues of information vagueness and uncertainty in order demand, logistics service provider (LSP) service capacity, and target preference in emergency events in the customized logistics service supply chain. Fuzzy objective coefficients, fuzzy constraint parameters, and a fuzzy single objective weighting technique are introduced to reflect the decision-maker preferences and satisfaction level. Sensitivity analysis is conducted to explore the effects of fuzzy coefficients and parameters on the decision-making process.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Editorial Material
Business
Alexander Brem, Elif Kongar, Claudia Eckert, Leonardo P. Santiago, Tugrul U. Daim
Summary: Publishing in international journals is important yet challenging. This editorial provides guidance for authors on key aspects and requirements to consider when submitting a scientific article to IEEE Transactions on Engineering Management, which may also be helpful for other academic outlets in the field of technological innovation and engineering management.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2021)
Article
Engineering, Multidisciplinary
Anja M. Maier, Claudia M. Eckert, P. John Clarkson
Summary: The study found that communication plays a crucial role in determining the success or failure of collaborative design projects, often leading to problems that are not solely technical in nature. These issues are more likely symptomatic of underlying factors like information, representation, individual, team, and organizational issues.
JOURNAL OF ENGINEERING DESIGN
(2021)
Article
Green & Sustainable Science & Technology
Gaelle Petit, Gwenola Yannou-Le Bris, Claudia Eckert, Yan Liu
Summary: The transition of existing food value chains towards greater sustainability is a societal imperative and a potential competitive factor. While collaboration can have a positive impact on joint decision-making in value chains, the objectives of upstream and downstream actors often remain different, driven by economic difficulties and consumer demands, respectively.
Article
Ergonomics
Chloe Le Bail, Marianne Cerf, Gwenola Yannou-Le Bris
Summary: The relocation of food systems in territories aims to reconnect agriculture and food, and address sustainable development challenges. This requires ergonomics and involves work transformations. The study in the article focuses on the supply of local products to staff canteens in Paris-Saclay, highlighting the ongoing redesign of coordination processes by actors to support the development of the local food system. The article proposes an approach to inter-organisational change resulting from the re-localization of food in territories, defining it as a collective design process involving both intra-organisational and inter-organisational coordination re-design.
ACTIVITES-REVUE ELECTRONIQUE
(2021)
Article
Business
Yan Liu, Claudia M. Eckert, Chris Earl
Summary: Innovation and supplier selection are closely related, as suppliers are involved in product development and complement companies' capabilities. Strategic relationships require flexible suppliers, but high flexibility does not guarantee cooperation. Companies need power to make suppliers flexible. The study in this article shows that the relative power between companies and suppliers influences supplier responsiveness to requests.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2022)
Article
Green & Sustainable Science & Technology
Adeline Cortesi, Laure Dijoux, Gwenola Yannou-Le Bris, Caroline Penicaud
Summary: The goal of this study was to understand the variation in environmental impact between cheeses made with different technologies and milks. The results show that the main factors contributing to the differences in environmental impacts are milk type, milk amount, energetic performance of the ripening room, and ripening time.
Article
Multidisciplinary Sciences
Adeline Cortesi, Laure Dijoux, Gwenola Yannou-Le Bris, Caroline Penicaud
Summary: This study conducted a life cycle assessment of 44 French cheeses to evaluate their environmental impacts. The results can be used to help cheesemakers improve the environmental performance of their products.
Article
Computer Science, Interdisciplinary Applications
Claudia Eckert, Ola Isaksson, Malin Hane-Hagstrom, Calandra Eckert
Summary: This paper analyzes the sociotechnical aspects of a data wrangling activity in a large global manufacturer, highlighting the impact of assumptions, goals, and biases of different stakeholders on the quality of the results. The paper suggests that contextual factors and consequences assessment should be given higher attention in data wrangling assignments and provides recommendations for practitioners.
JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING
(2022)
Review
Agronomy
Aurelie Perrin, Gwenola Yannou-Le Bris, Frederique Angevin, Caroline Penicaud
Summary: In the face of ecological and social crisis in agrifood systems, a transformation towards systemic and sustainable innovations is necessary. Sustainability assessments are commonly used to identify and validate improvements in sustainability in comparison to existing standards. This study reviews the role and use of sustainability assessments in the design process of innovations in agrifood systems, highlighting three types of assessments: initial diagnosis, screening solutions, and evaluation at different stages. Key points are discussed, including criteria and indicators, stakeholder involvement, adaptive nature of assessment, and consideration of uncertainty, providing guidance for efficient assessment in designing innovations for sustainable agrifood systems.
AGRONOMY FOR SUSTAINABLE DEVELOPMENT
(2023)
Article
Multidisciplinary Sciences
Samuel Le Feon, Andreas Papadakis, Gwenola Yannou-Le Bris, Julie Auberger, Dimitrios Chatzitheodorou, Joel Aubin, Caroline Penicaud
Summary: Considering and reducing the environmental impacts is a main concern in agri-food systems. This data paper provides data on the production of Feta cheese in Greece, filling research gaps and quantifying the environmental impacts of various stages in the value chain.
Article
Multidisciplinary Sciences
Samuel Le Feon, Thierry Benezech, Gwenola Yannou-Le Bris, Joel Aubin, Imca Sampers, Damien Herreman, Caroline Penicaud
Summary: Due to societal concerns, assessing environmental impacts, addressing issues, and providing labeling to consumers are growing issues for the agri-food sector. In order to consider the variability between systems and appropriately address their issues and label them, it is crucial to provide datasets specific to alternative systems. This data paper compiles all the data used for the life cycle assessment (LCA) of an organic low-input apple value chain, covering the entire process from farm cultivation to retail and consumption stages.
Article
Engineering, Manufacturing
Kilian Gericke, Claudia Eckert, Martin Stacey
Summary: Method development and adoption are crucial in design research, but ensuring industrial use of methods remains a challenge. The description and evaluation of a method play a vital role in its adoption. The description should cover its core idea, representations of design information, procedure, intended use, and tools used. Evaluation should focus on the method's effectiveness, customization, and improvement possibilities.
Article
Education, Scientific Disciplines
Claudia Eckert, Rafaela Hillerbrand
Summary: This paper discusses the importance of models in engineering design and highlights the differences between models in engineering and models in science. Models in engineering are not just representational tools, but central to the decision-making process. Only engineers understand and determine the relationship between the model and the target system. A better understanding of the social process of design is essential to understanding the roles of models in engineering.
ENGINEERING STUDIES
(2022)
Article
Green & Sustainable Science & Technology
Hiam Serhan, Gwenola Yannou-Lebris
Summary: Environmental, nutritional, and socio-economic issues in the global agro-industrial food system are receiving increasing attention in higher education institutions, with a focus on sustainable transition. Project-based learning and eco-designed business models are seen as crucial for promoting sustainability in food science and engineering curriculums. French agri-food engineering colleges have implemented sustainable development goals through the Idefi-EcoTrophelia programme, fostering innovation and entrepreneurial skills among students.
INTERNATIONAL JOURNAL OF SUSTAINABLE ENGINEERING
(2021)
Article
Computer Science, Interdisciplinary Applications
Xiaolin Wang, Liyi Zhan, Yong Zhang, Teng Fei, Ming-Lang Tseng
Summary: This study proposes an environmental cold chain logistics distribution center location model to reduce transportation costs and carbon emissions. It also introduces a hybrid arithmetic whale optimization algorithm to overcome the limitations of the conventional algorithm.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Hong-yu Liu, Shou-feng Ji, Yuan-yuan Ji
Summary: This study proposes an architecture that utilizes Ethereum to investigate the production-inventory-delivery problem in Physical Internet (PI), and develops an iterative heuristic algorithm that outperforms other algorithms. However, due to gas prices and consumption, blockchain technology may not always be the optimal solution.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Paraskevi Th. Zacharia, Elias K. Xidias, Andreas C. Nearchou
Summary: This article discusses the assembly line balancing problem in production lines with collaborative robots. Collaborative robots have the potential to improve automation, productivity, accuracy, and flexibility in manufacturing. The article explores the use of a problem-specific metaheuristic to solve this complex problem under uncertainty.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)
