Article
Engineering, Industrial
Alexandre Dolgui, Dmitry Ivanov
Summary: This study aims to understand the impact of the metaverse on supply chain and operations management (SCOM) and proposes a framework for metaverse SCOM. The development of the metaverse could result in the co-existence of physical SCOM, metaverse SCOM, and SCOM for coordination of the physical and metaverse worlds. New research areas and performance measures can emerge in the field of metaverse SCOM.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Petri Helo, Yuqiuge Hao
Summary: With the advancement of information technology, global competition has intensified. AI is expected to play a crucial role in supply chain management, with emerging AI-based business models contributing to value creation.
PRODUCTION PLANNING & CONTROL
(2022)
Article
Chemistry, Multidisciplinary
Sergio Gallego-Garcia, Manuel Garcia-Garcia
Summary: Forecasting is essential for planning, but dynamic planning is not common in practice, resulting in insufficient preparation of solutions in the long term, suboptimal decision-making in the medium term, and the need for corrective measures with higher costs and lower service levels in the short term.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Industrial
Violetta Giada Cannas, Maria Pia Ciano, Mattia Saltalamacchia, Raffaele Secchi
Summary: This study examines the application of artificial intelligence (AI) in operations and supply chain management (OSCM). Through a multiple case study, it identifies the benefits and barriers of implementing AI in OSCM processes. The results show that AI can enhance competitiveness by reducing costs and lead times, improving service levels, quality, safety, and sustainability. However, obstacles such as data quality assurance, lack of specific skills, high investments, unclear economic benefits, and limited experience in cost analysis for AI projects were also identified. The study offers guidance for practitioners and provides a foundation for future research.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Review
Green & Sustainable Science & Technology
Mona Jazinaninejad, Mohammadreza Nematollahi, Azam Shamsi Zamenjani, Alireza Tajbakhsh
Summary: This study systematically reviews the research in the field of biomass supply chain management, revealing that energy crops and forest-based biomass are the most commonly studied feedstock types, while municipal solid waste sources have potential for further exploration. From a sustainability perspective, the environmental aspect receives more attention than the social aspect.
JOURNAL OF CLEANER PRODUCTION
(2022)
Review
Green & Sustainable Science & Technology
David Adams, Jerome Donovan, Cheree Topple
Summary: Managing sustainability in the food supply chain is crucial due to the significant environmental and social impacts of the global food industry. A thematic analysis identified eight key sustainability themes in the literature regarding how food manufacturing companies implement sustainability practices. There is a substantial research gap regarding the role of SMEs and food logistics in sustainable supply chain management, while multinational companies play a critical role in supporting supply chain practices.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2021)
Article
Engineering, Industrial
Zhuolin Yang, Yuting Zheng, Jianbin Li, Stuart X. Zhu, Chao Yang
Summary: This paper proposes a service-oriented manufacturing strategy in a two-echelon supply chain with random demand. The authors analyze the procurement quantity and delivery time decisions using a Stackelberg game-theoretic model. The results show that delivery service in service-oriented manufacturing can reduce the holding cost of the retailer and provide guidance for managers.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Economics
Kee-hung Lai, Yunting Feng, Qinghua Zhu
Summary: This study identifies and develops GSCDT practices with support from the literature and case studies of six manufacturers with operational GSCDT in diversified industries to explore the practice adoption enablers of GSCDT and contingency factors for performance improvement through GSCDT for manufacturers. Our research findings contribute to academic knowledge by unraveling critical factors that affect the digital transformation process in GSCM and managerial insights by identifying pathways for the successful adoption of GSCDT practices.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2023)
Article
Engineering, Industrial
Tongshui Xia, Yuyan Wang, Lingxue Lv, Liang Shen, T. C. E. Cheng
Summary: Fierce market competition and consumers' environmental awareness drive manufacturers to seek competitive advantages through low-carbon production. This paper constructs three financing strategic models under chain-to-chain competition and analyzes the impact of market competition intensity and consumers' low-carbon preference on decision-making and profits. Comparative analysis is conducted to find the optimal financing strategy, and numerical simulation is used for further analysis and robustness tests.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Multidisciplinary
Honglin Li, Tongdan Jin, Clara Novoa
Summary: This paper proposes an integrated facility and microgrid location-allocation model for achieving low-carbon supply chain operations. The model considers the uncertainties in product demand and energy supply, and allocates production, inventory, transportation, generation, and energy transactions to lower the net supply chain cost.
APPLIED MATHEMATICAL MODELLING
(2023)
Article
Computer Science, Artificial Intelligence
Fatemeh Ghasemzadeh, Dragan Pamucar
Summary: Motivated by a dairy supply chain case, this study examines the management of deteriorating inventories in a three-echelon supply chain network with a local retailer having multiple customers. The customers are divided into two clusters in the downstream with different, uncertain demand functions: many small ordinary customers and few large premier customers. The goal is to determine the optimal inventory policy considering the time-sensitive deterioration rate of the product. The model is formulated using queuing theory and finite-horizon Semi-Markov process, and an integrated inventory system at the network level. Two solution approaches, adaptive Invasive Weed Optimization and Adaptive Heuristic Method, are designed to solve the nonlinear and nonconvex problem, with the former providing better solution quality and the latter being faster in computation. Sensitivity analyses show that perishability has a greater impact than uncertainty when facing both factors.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Information Science & Library Science
Fang-Kai Chang, Wei-Hsi Hung, Chieh-Pin Lin, I-Cheng Chang
Summary: This research developed an effective supply chain management (SCM) operation model and a corresponding diagnostic methodology in the global competitive environment by combining three phases and methodologies. The results show that the concept of global SCM tends to be broader and more comprehensive than the traditional one.
JOURNAL OF GLOBAL INFORMATION MANAGEMENT
(2022)
Article
Economics
Na Luo, Tava Olsen, Yanping Liu, Abraham Zhang
Summary: This paper reviews research on food loss and waste (FLW) from the perspective of operations management (OM). It provides insights into specific stages within the food supply chain and the entire supply chain, identifies overarching research themes, and offers projections for future research opportunities based on literature, conference presentations, working papers, and interviews with stakeholders.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Engineering, Industrial
Ali Bastas, Jose Arturo Garza-Reyes
Summary: This paper investigates the impact of COVID-19 pandemic on manufacturing operations and the strategies formulated by manufacturing organizations in Northern Cyprus. The research findings reveal the effects of the pandemic, associated causes, and response strategies deployed by the organizations. The study contributes to the understanding of manufacturing management and supply chain resilience, and presents practical contributions through the transfer of operations management knowledge and solutions devised in various sectors.
JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT
(2022)
Article
Energy & Fuels
Morteza Gafti, Fatemeh Sabouhi, Ali Bozorgi-Amiri, Amin Jamili
Summary: In this research, a bioenergy supply chain is investigated, with a focus on generating energy from municipal solid waste (MSW) through waste separation and various technologies to convert waste to biofuels. A mixed integer linear programming model is developed to minimize costs of waste collection and transportation, biofuel transportation, and installation costs. The model also considers the impact of utilizing cross-dock centers on the network design. The case study of Khorasan Razavi province demonstrates the application and efficiency of the developed model.
Article
Green & Sustainable Science & Technology
Jari J. Hakanen, Petri Rouvinen, Ilkka Ylhainen
Summary: Despite the limited attention given to the question of whether work engagement predicts proximal and more distal career-related outcomes, this study found that work engagement positively predicted future wages and the probability of rising in occupational rankings, and negatively predicted future unemployment and disability pensions. The use of Conservation of Resources theory and a sustainable careers framework strengthened the analysis and highlighted the importance of work engagement for objectively measured indicators of sustainable careers.
Article
Business
Ari Hyytinen, Petri Rouvinen, Mika Pajarinen, Joosua Virtanen
Summary: This study examines how machine learning predictions can assist budget-constrained venture capitalists in making investment decisions for high-growth enterprises. The findings suggest that accurate machine learning predictions are particularly valuable in the decision-making process for investment strategies.
ENTREPRENEURSHIP THEORY AND PRACTICE
(2023)
Article
Economics
Heli Koski, Mika Pajarinen, Petri Rouvinen
INDUSTRY AND INNOVATION
(2019)
Article
Economics
Martin Kenney, Petri Rouvinen, Timo Seppala, John Zysman
INDUSTRY AND INNOVATION
(2019)
Article
Business
Ari Hyytinen, Mika Pajarinen, Petri Rouvinen
JOURNAL OF BUSINESS VENTURING
(2015)
Article
Business
Martin Kenney, Petri Rouvinen, John Zysman
JOURNAL OF INDUSTRY COMPETITION & TRADE
(2015)
Article
Business
Jyrki Ali-Yrkko, Petri Rouvinen
JOURNAL OF INDUSTRY COMPETITION & TRADE
(2015)
Article
Business
Dan Breznitz, Martin Kenney, Petri Rouvinen, John Zysman, Pekka Yla-Anttila
JOURNAL OF INDUSTRY COMPETITION & TRADE
(2011)
Article
Business
Jyrki Ali-Yrkko, Petri Rouvinen, Timo Seppala, Pekka Yla-Anttila
JOURNAL OF INDUSTRY COMPETITION & TRADE
(2011)
Article
Business
Mika Maliranta, Pierre Mohnen, Petri Rouvinen
INDUSTRIAL AND CORPORATE CHANGE
(2009)
Article
Economics
Ari Hyytinen, Petri Rouvinen
Article
Communication
P Rouvinen
TELECOMMUNICATIONS POLICY
(2006)
Article
Political Science
Petri Rouvinen, Rikard Stankiewicz
REVIEW OF POLICY RESEARCH
(2009)
Article
Economics
Mika Maliranta, Petri Rouvinen
ECONOMICS OF INNOVATION AND NEW TECHNOLOGY
(2006)