Article
Mathematics
Hsu-Lin Chen, Yi-Chung Hu, Ming-Yen Lee
Summary: Subsidiaries typically begin as a company division and as the company expands, the heads of these divisions gain more authority and play an important role in the company's future operational planning.
Article
Green & Sustainable Science & Technology
Yeneneh Tamirat Negash, Liria Salome Calahorrano Sarmiento, Ming-Lang Tseng, Korbkul Jantarakolica, Kimhua Tan
Summary: This study provides a hierarchical framework with a focus on customer empathy, innovation, and stakeholder interaction for the assessment of an SPPS in the pharmaceutical industry. Practices such as research and development expertise, process innovation, and product innovation can enhance efficiency in decision-making. The proposed framework serves as a guideline for firms looking to implement sustainable product-service systems.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Business
Devinder Kumar, Rajesh Kr Singh, Ruchi Mishra, Tugrul U. Daim
Summary: Blockchain and Internet of Things technologies have the potential to achieve sustainability in logistics and supply chain management. This research analyzes the enablers for using blockchain-IoT in managing logistics and supply chains, and proposes a framework to measure firms' readiness to adopt blockchain-IoT based on Graph Theory Matrix Method.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2023)
Article
Business
Jing Shao, Cedric Aneye, Alyona Kharitonova, Wei Fang
Summary: The current linear economy model has caused significant environmental damage, hence the need for circular economy and circular business models as environmental solutions that can also bring business profit. However, there is a lack of research on the capabilities and innovation required for the transition to circular business models. This study aims to explore the factors that enhance or hinder the innovation capability of producer-service enterprises in implementing circular business models. The study used the fuzzy Delphi method and grey-based DEMATEL approaches to identify the influential factors and their causal relationships towards circular business model implementation in the service sector. The research results revealed 10 main drivers and barriers related to circular business model implementation. This study's contributions can serve as a guide for producer-service enterprises and policymakers, shedding light on the application of business model innovations.
BUSINESS STRATEGY AND THE ENVIRONMENT
(2023)
Article
Green & Sustainable Science & Technology
Saifur Rahman Tushar, Md Abdul Moktadir, Simonov Kusi-Sarpong, Jingzheng Ren
Summary: This study explores the driving factors behind sustainable service management in the hospital sector through integrated qualitative and quantitative research methods. The study identifies factors such as engaging experienced doctors in top management, implementing public health policies, and proper maintenance and monitoring of hospital support services as important drivers for sustainable hospital service management. The findings have significant policy implications for service operations and managers in the hospital sectors.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Agriculture, Multidisciplinary
H. T. Thuy Giang, L. T. Dung, Ph T. Thanh
Summary: This study aims to identify the key antecedents of consumer behavior toward sustainable consumption of organic food using the fuzzy-set theory and DEMATEL methods. The results show that government support and guidance, mass media agents, education and research institutions, and consumer demographics (educational level, income status, and age) are the six origins of sustainable consumption of organic foods.
JOURNAL OF AGRICULTURAL SCIENCE AND TECHNOLOGY
(2022)
Article
Computer Science, Artificial Intelligence
Guo-Niu Zhu, Jie Hu
Summary: In the context of smart product-service systems, evaluating co-creative sustainable value propositions becomes a critical issue. This paper proposes a framework integrating rough-Z-number, DEMATEL, and group decision-making strategy for evaluating these co-creative value propositions to ensure objective and reliable results. Experimental results demonstrate the superiority of the proposed approach in handling uncertainty, reliability, and subjectivity during the evaluation process.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2021)
Article
Green & Sustainable Science & Technology
Ming-Lang Tseng, Chun-Wei Remen Lin, Raditia Yudistira Sujanto, Ming K. Lim, Tat-Dat Bui
Summary: In recent years, the literature has addressed sustainable consumption, particularly the transition from traditional to sustainable consumption. The reduction of environmental impacts caused by waste generation is a key focus of sustainable consumption. A lack of understanding of which attributes effectively enhance consumption due to a variety of factors has led to a negative trend in sustainable consumption. This study proposes a set of attributes to enhance sustainable consumption in the Indonesian food industry, focusing on corporate communication, consumer perception, consumer behavior, and product packaging as major aspects. Corporate communication is identified as a key driver influencing perception and behavior.
Article
Social Sciences, Interdisciplinary
Qilong Wan, Xiaoqing Zhao, Haibing Liu, Hasan Dincer, Serhat Yuksel
Summary: This study utilizes interval type-2 (IT2) fuzzy decision-making trial and evaluation laboratory (DEMATEL) to identify the significant stages of new product development process for the industrial decarbonization of sustainable economies. The findings highlight the importance of commercialization in the process, with cost analysis and performance evaluation being the most significant sub-criteria.
Article
Green & Sustainable Science & Technology
Mohamed Abdel-Basset, Abduallah Gamal, Osama M. ELkomy
Summary: Due to the increased demand for energy, renewable energy sources like solar energy have become more popular. The need to identify suitable locations for solar photovoltaic farms involves consideration of various factors such as technical, economic, environmental, sociopolitical dimensions, and risks. The hybrid multi-criteria decision-making approach used in this study facilitated the ranking of solar photovoltaic farm locations in Egypt, with the Benban solar photovoltaic farm identified as the most sustainable option.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Computer Science, Artificial Intelligence
Tongtong Zhou, Xinguo Ming, Ting Han, Yuguang Bao, Xiaoqiang Liao, Qingfei Tong, Shangwen Liu, Hao Guan, Zhihua Chen
Summary: Smart product service system (PSS) is crucial for manufacturing companies to transform towards digital servitization. The paper proposes a methodology to elicit and analyze diverse and inter-related smart experience-oriented customer requirements (SEO-CRs) in smart PSS context. A two-dimensional SEO-CR system and a HFLC-DEMATEL method are introduced to effectively evaluate the priority and interaction of SEO-CRs. The proposed method is validated through a real case of smart vehicle service system (SVSS).
ADVANCED ENGINEERING INFORMATICS
(2023)
Article
Computer Science, Artificial Intelligence
Xinwei Zhang, Jing Li, Hakki Eres, Chen Zheng
Summary: Requirements evaluation is crucial for the successful development of a product-service system (PSS), with interactions among PSS requirements significantly impacting decision-making processes. Existing methods often focus on requirements prioritization, overlooking the aggregation of interacting PSS requirements. A proposed systematic method integrates rough-fuzzy DEMATEL, 2-additive fuzzy measures, and the Choquet integral to non-additively aggregate interacting PSS requirements for development and prioritization.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Environmental Sciences
Farzaneh Sajedi Hosseini, Shahram Khalighi Sigaroodi, Ali Salajegheh, Alireza Moghaddamnia, Bahram Choubin
Summary: This study proposes a methodology for assessing flood vulnerability in a severely flooded area of Iran. By using DEMATEL and ANP methods, the importance of factors such as land use, distance to stream, population density, distance to residential areas, and distance to road were determined. The integrated method revealed that about 19.2% of the region has a high to very high flood vulnerability.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Green & Sustainable Science & Technology
Mehrnaz Jalali, Bo Feng, Junwen Feng
Summary: This study aims to analyze the implementation barriers of sustainable supply chain management (SSCM) in Iran. The Fuzzy Delphi Method (FDM) and fuzzy decision-making trial and evaluation laboratory (DEMATEL) are used to assess and mitigate the impact of these barriers. A total of 26 barriers are identified to be relevant to Iran, with 6 of them being determined as important barriers. The outcomes of this study are unique to Iranian companies and provide insights into the interactions between barriers.
Article
Computer Science, Artificial Intelligence
Nasibeh Pouti, Mohammad Taghi Taghavifard, Mohammad Reza Taghva, Mohammad Fathian
Summary: This study develops a research model to explain the acceptance of social banking. Using a meta-combination, the antecedents of social banking intention were identified. The model was validated through the partial least squares method and intermediate variables were analyzed to obtain the final results. The study reveals that factors such as trust, attitude, social support, word of mouth, social influence, and perceived usefulness directly and indirectly influence social banking intention.
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING
(2023)
Article
Engineering, Industrial
Yudi Fernando, Ming-Lang Tseng, Ika Sari Wahyuni-Td, Ana Beatriz Lopes de Sousa Jabbour, Charbel Jose Chiappetta Jabbour, Cyril Foropon
Summary: This study investigates the direct and indirect effects of information system security practices on the relationship between cyber supply chain risk management and supply chain performance. The findings suggest that operations and governance have significant effects on supply chain performance, while systems integration does not have a significant impact.
JOURNAL OF INDUSTRIAL AND PRODUCTION ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Anisha Banu Dawood Gani, Yudi Fernando, Shulin Lan, Ming K. Lim, Ming-Lang Tseng
Summary: This study investigates the relationship between cyber supply chain risk management practices and cyber supply chain visibility, as well as the mediating role of visibility in achieving cyber supply chain performance. The findings highlight the importance of a dedicated governance team and the significant impact of visibility on performance.
INDUSTRIAL MANAGEMENT & DATA SYSTEMS
(2023)
Article
Engineering, Multidisciplinary
Jia-Rong Li, Heng-Yi Li, Ming K. Lim, Anthony S. F. Chiu, Ming-Lang Tseng
Summary: This study aims to solve the problem of optimal performance parameter selection of the virtual synchronous generator (VSG) control strategy using an improved artificial jellyfish search (IMJS) algorithm. VSG technology helps improve the inverter's anti-disturbance ability, and its control effect relies on the setting of performance parameter values. The IMJS algorithm is used to optimize the VSG and propose a control strategy (IMJS-VSG) to enhance the control capability, utilizing population initialization strategy and dynamic adaptive factor to improve optimization ability. The results show that under the IMJS-VSG control strategy, the active power achieves smooth changes without oscillations during grid-connected operation, and the system voltage drop is less than 40% compared to the VSG strategy during islanded operation state.
ENGINEERING OPTIMIZATION
(2023)
Article
Green & Sustainable Science & Technology
Xiaoqian Hu, Chao Wang, Ming K. Lim, Wei-Qiang Chen, Limin Teng, Peng Wang, Heming Wang, Chao Zhang, Cuiyou Yao, Pezhman Ghadimi
Summary: This study constructs a global EV-LIB supply network from 1990 to 2020 using a multilayer network model and explores critical risk sources from static and dynamic network perspectives. The results reveal the critical position of countries and the impacts of risk sources and their transmission paths. The findings provide anti-risk support for policy-makers.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2023)
Article
Engineering, Environmental
Tat-Dat Bui, Jiun-Wei Tseng, Ming-Lang Tseng, Kuo-Jui Wu, Ming K. Lim
Summary: In the ecosystem of digital technologies in Industry 4.0, the integration of new data and information sources has significant value in waste management transitions, but it also faces various technological barriers. This study uses the fuzzy Delphi method to obtain valid attributes and applies fuzzy decision-making trial and evaluation laboratory to predict the interrelationships among these attributes. Analytic network process is used to test the consistency among the hierarchical structures. The results reveal the technological barriers in municipal solid waste management in Taiwan, including cyber-physical limitations, challenges in artificial intelligence application, and human interface problems. Insufficient public data, limitations in robotic process automation, and lack of predictive and emergency assistance hinder the improvement of municipal solid waste management technology.
RESOURCES CONSERVATION AND RECYCLING
(2023)
Article
Management
Ming-Lang Tseng, Tat-Dat Bui, Shulin Lan, Ming K. Lim
Summary: This study aims to establish a systematic data-driven analysis of reverse logistics in the context of industry 4.0 for achieving sustainable growth. A combination of different methods is adopted to explore the inter-relationships and critical attributes in the electronic industry practices in Vietnam. The results highlight the importance of sustainable circularity, smart municipality, and digitalizing accessibility, with a focus on the collection and disposition stages in enhancing electronic reverse logistics practices towards industry 4.0 in Vietnam.
INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS
(2023)
Article
Management
Yudi Fernando, Amirulhusni Suhaini, Ming-Lang Tseng, Ahmed Zainul Abideen, Muhammad Shabir Shaharudin
Summary: This study contributes to a better understanding of smart warehouse systems and design by analyzing the reasons for warehouse underperformance, introducing smart warehouse enablers in Industry 4.0, and constructing a smart warehouse design from various aspects. The findings show that inventory mismanagement and communication hurdles are key factors causing warehouse underperformance. The insights from this study are valuable for extending the literature and designing smart warehouses to enhance business competitiveness.
INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS
(2023)
Article
Management
Tat-Dat Bui, Viqi Ardaniah, Qinghua Zhu, Mohammad Iranmanesh, Ming-Lang Tseng
Summary: This study contributes to data-driven zero-carbon transition in the industrial and manufacturing sectors. It identifies the important attributes for successful transition and highlights the performance gaps in different regions. The results emphasize the significance of energy system provisions, low-carbon transition assessment, and climate change resilience in directing zero-carbon transition studies.
INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS
(2023)
Article
Engineering, Industrial
Yu Ren, Kuo-Jui Wu, Ming K. Lim, Ming-Lang Tseng
Summary: This study investigates technology transfer in achieving a circular economy model under resource-based view, considering public expectations and expert guidance. High-tech firms aim to apply technology transfer to achieve circular economy principles while facing resource constraints and meeting public expectations. However, there is often a discrepancy between public expectations and expert guidance.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2023)
Article
Environmental Sciences
Yeneneh Tamirat Negash, Liria Salome Calahorrano Sarmiento, Shuan-Wei Tseng, Ming K. Lim, Ming-Lang Tseng
Summary: This study develops a set of measures to address the interrelationship among circular waste-based bioeconomy (CWBE) attributes and uses the fuzzy Delphi method to obtain a valid set of attributes. A fuzzy decision-making trial and evaluation is applied to address the attribute relationships and determine the driving criteria of CWBE development.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Yeneneh Tamirat Negash, Abdiqani Muse Hassan, Ming-Lang Tseng, Mohd Helmi Ali, Ming K. Lim
Summary: This study develops a hierarchical framework that assesses the strategic effectiveness of waste management in the construction industry. Through the fuzzy Delphi method, a valid set of 28 sustainable waste management attributes are identified. These attributes are divided into various elements and constructed into a six-level hierarchical framework using fuzzy interpretive structural modeling. The top aspects for assessing strategic effectiveness in this framework are waste management operational strategy, construction site waste management performance, and the mutual coordination level.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
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
Engineering, Environmental
Kuo-Jui Wu, Hailing Qiu, Caiyan Huang, Anthony S. F. Chiu, Ming-Lang Tseng
Summary: Government resource allocation practices for achieving carbon neutrality should be guided by dynamic system theory to identify potential dynamics. Carbon intensity control dynamics have a significant influence on other dynamics.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Computer Science, Artificial Intelligence
Ling-Ling Li, Xing-Da Fan, Kuo-Jui Wu, Kanchana Sethanan, Ming-Lang Tseng
Summary: This study constructs a distributed generation (DG) multi-objective hierarchical optimal planning model and proposes a solution method based on an improved beluga whale optimization algorithm (IBWO). The study considers the uncertainties in DG output power and the demand response on the load side to determine the optimal location and capacity of DG access to the distribution network. The results show significant reductions in the annual comprehensive cost, total voltage deviation, and power loss of the system.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Engineering, Industrial
Hiroshi Matsuhisa, Nobuo Matsubayashi
Summary: This study investigates the formation of an alliance between competing manufacturers and a monopolistic platform retailer, and analyzes the impact of the degree of differentiation among manufacturers on the formation of the alliance and the profitability of the retailer.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Lingxuan Kong, Ge Zheng, Alexandra Brintrup
Summary: Supply Chain Financing is used to optimize cash flows in supply networks, but recent scandals have shown inefficiencies in risk evaluation. This paper proposes a Federated Learning framework to address order-level risk evaluation.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Jing Gu, Xinyu Shi, Junyao Wang, Xun Xu
Summary: The asymmetric market power between a firm and its partners negatively affects the firm's financial performance. Building relationships with suppliers or customers that have matched market power is the best approach. The strength of the buyer-supplier relationship amplifies the negative impact of asymmetric market power, while the level of relationship embeddedness reduces its negative effect. Moreover, firm-specific institutional, industry, and regional economic heterogeneities also influence the financial impact of asymmetric market power.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Yu Du, Jun-qing Li
Summary: This study investigates the group scheduling of a distributed flexible job shop problem using the concrete precast process. The proposed solution utilizes three coordinated double deep Q-networks (DQN) as a learn-to-improve reinforcement learning approach. The algorithm shows superiority in minimizing costs and energy consumption.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Xiaoyu Yan, Weihua Liu, Ou Tang, Jiahe Hou
Summary: This study analyzes the market amplification effect and the impact of entrant's overconfidence on a two-sided platform. The results show that overconfident entrants can lead to price increases and benefit both the existing firms and themselves to a certain extent.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Illya Kaynov, Marijn van Knippenberg, Vlado Menkovski, Albert van Breemen, Willem van Jaarsveld
Summary: The One-Warehouse Multi-Retailer (OWMR) system is a typical distribution and inventory system. Previous research has focused on heuristic reordering and allocation strategies, which are time-consuming and problem-specific. This paper proposes a Deep Reinforcement Learning (DRL) algorithm for OWMR problems, which infers a multi-discrete action distribution and improves performance with a random rationing policy.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Yimeng Sun, Ruozhen Qiu, Minghe Sun
Summary: This study considers a multi-period inventory management problem for a retailer offering limited-time discounts and having a joint service-level requirement under demand uncertainty. It proposes a double-layer iterative approach to solve the problem and maximize total profit while balancing the service level using a posteriori method and an affinely adjustable robust chance-constrained model.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Anas Neumann, Adnene Hajji, Monia Rekik, Robert Pellerin
Summary: This paper presents a new mathematical formulation for planning and scheduling activities of Engineer-To-Order (ETO) projects, along with a new ETO strategy to reduce the impacts of design uncertainty. The study proposes a hybrid Layered Genetic Algorithm combined with an adaptive Lamarckian learning process (LLGA) and compares it with the branch-and-cut procedure of CPLEX. The results show good performance of the proposed mathematical model for small and medium-sized instances.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Thilini Ranasinghe, Chanaka D. Senanayake, Eric H. Grosse
Summary: Production systems are undergoing transformative changes, necessitating adaptability from human workers. This study developed an analytical model to account for stochastic processing times and learning heterogeneity, revealing insights into system performance.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Sunil Tiwari, Pankaj Sharma, Ashish Kumar Jha
Summary: Black Swan events such as the COVID-19 pandemic and the Suez Canal blockage have a significant impact on firms' technology adoption decisions, especially in terms of disruptions and digitalization in the supply chains. This study investigates the influence of institutional forces and environmental contingencies on supply chain digitalization from an institutional and contingency theory perspective. The findings emphasize the importance of organizational readiness and people readiness, including top management involvement and employee training, in facilitating digitalization.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Fabio Neves-Moreira, Pedro Amorim
Summary: Omnichannel retailers are using stores as distribution centers to provide faster online order fulfillment services. However, in-store picking operations can impact the offline customer experience. To address this, we propose a Dynamic In-store Picker Routing Problem (diPRP) that minimizes customer encounters while fulfilling online orders. Our solution approach combines mathematical programming and reinforcement learning to find efficient picking policies that reduce customer encounters.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Richard Kraude, Ram Narasimhan
Summary: In this study, the relationship between Vertical Integration (VI) and Environmental Performance (EP) is examined, revealing that highly integrated firms produce less waste but engage in fewer environmental initiatives. These findings are crucial for understanding the impact of stakeholder exposure on organizational behavior.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Review
Engineering, Industrial
Korina Katsaliaki, Sameer Kumar, Vasilis Loulos
Summary: This research conducts a systematic literature review (SLR) and content analysis on Supply Chain Coopetition (SCC) through the PRISMA framework. It examines the theory of coopetition and organizational relationships in intra-firm and inter-firm supply chains, focusing on collaboration between rival manufacturers. The study identifies structures and mechanisms of coopetition, such as buyer-supplier coopetition, supply networks coopetition, and production and distribution/logistics coopetition. It provides a holistic approach to SCC management practices and serves as a guide for future research.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
