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
Automation & Control Systems
Mingjie Bi, Dawn M. Tilbury, Siqian Shen, Kira Barton
Summary: This paper focuses on developing agile decision-making strategies to cope with the negative impact of disruptions on global supply chains. The performance of a distributed decision-making approach based on network attributes of disrupted supply chain entities is evaluated, providing insights for practitioners to design response strategies.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Article
Management
Lance W. Saunders, Jason R. W. Merrick, Mary C. Holcomb
Summary: The article explores the balance between efficient and responsive supply chains, finding that the high supply-demand cost mismatch in the company is mainly due to supply chain design issues. The simulation model shows that failure to take advantage of responsiveness opportunities and the failure of decision makers to accurately distinguish time limits are key reasons for the mismatch costs.
JOURNAL OF OPERATIONS MANAGEMENT
(2021)
Article
Engineering, Industrial
Jiliang Han, Lin Li, Zilai Sun, Xiaochun Feng, Na Lin, Junhu Ruan
Summary: This paper proposes an integrated decision-making model for the planting, storage, and distribution stages of IoT-enabled fresh agri-products supply chains. The results of numerical experiments show that overall decision-making can significantly improve benefits, and it is most beneficial for growers to maintain moderate warehouse storage time and capacity.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Mathematics
Gholamreza Haseli, Reza Sheikh, Jianqiang Wang, Hana Tomaskova, Erfan Babaee Tirkolaee
Summary: The study introduces a novel group decision-making method G-BWM based on the Best-Worst Method (BWM) for complex multi-criteria decision-making issues. Through examination and discussion of two numerical examples, the performance of G-BWM in achieving democratic decision making in a large group of decision makers is demonstrated.
Review
Green & Sustainable Science & Technology
Ananna Paul, Nagesh Shukla, Sanjoy Kumar Paul, Andrea Trianni
Summary: MCDM methods are widely used in analyzing barriers, challenges, drivers, enablers, criteria, performances, and practices of SSCM. Recent studies have focused on integrating multiple MCDM methods to highlight methodological contributions in SSCM, but there is a lack of research papers integrating multiple MCDM methods in the literature.
Article
Green & Sustainable Science & Technology
Rui Song, Zhongming Wu
Summary: This study investigates the impact of random demand on the omnichannel supply chain, which employs a combination of online, retail, and buy online and pick up in-store channels. It considers price and lead time-dependent demand with known and unknown distributions and establishes mathematical models to maximize profit. The study analyzes the variations in demand with lead time and examines the effects of price and lead time on profit, as well as the interactions between them.
Article
Computer Science, Interdisciplinary Applications
Parisa Fallah, Meysam Rabiee, Abolghasem Yousefi-Babadi, Emad Roghanian, Mostafa Hajiaghaei-Keshteli
Summary: This research proposes a stochastic multi-objective mixed-integer linear programming model for an agile, flexible disaster supply chain network, and utilizes a novel group decision-making framework to select qualified suppliers. A robust probabilistic programming approach and metaheuristic algorithms are used to handle uncertainty and large-scale problems. The results of the study demonstrate the applicability of the proposed framework and methodologies.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Review
Computer Science, Interdisciplinary Applications
Martijn Koot, Martijn R. K. Mes, Maria E. Iacob
Summary: Investment in IoT and BDA does not rely on technological supply or demand. The integration of new measuring devices with traditional ICT infrastructures has enhanced the quality of production environments and the flexibility of logistics operations. Literature review shows a move towards visualizing current operations and predicting future states, benefiting both sectors.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Engineering, Industrial
Kartika Nurhayati, Lorant Tavasszy, Jafar Rezaei
Summary: Joint decision-making is an effective mechanism for addressing the complexity of B2B processes in supply chains. This paper investigates how companies in a dyadic relationship make joint and individual decisions by examining the drivers, facilitators, and barriers. A case study of Dutch high-tech companies provides empirical insight into the dynamics of collaborative decision-making and offers suggestions for decision-makers and future research.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2023)
Article
Green & Sustainable Science & Technology
Boyi Zhang, Shaojian Qu
Summary: The rapid development of industrialization has led to an increasing contradiction between human and nature, resulting in the preference for green products among consumers. This study investigates a two-level green manufacturing supply chain consisting of a manufacturer and a retailer, and examines the impact of demand on product greenness and advertising investment. It proposes a coordination mechanism for cost-sharing and revenue-sharing.
Article
Green & Sustainable Science & Technology
Liang Wang, Kun Peng
Summary: This paper explores the pricing and ordering strategy and carbon reduction decision of the supply chain based on the pledge financing of carbon emission rights. The results show that regardless of whether the pledge financing is introduced, the optimal order quantity and wholesale price can maximize the expected revenue for the retailer and the manufacturer. Additionally, the adoption of pledge financing allows for an optimal amount of carbon emission reduction per unit of product, which further maximizes the optimal order quantity.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Agronomy
Marius Drechsler, Andreas Holzapfel
Summary: This paper investigates planning problems in the supply chain of small and medium-sized companies in the horticultural market. It highlights the challenges faced by the sector and the need for data-driven decision support systems. Expert interviews and a literature review are conducted to explore the practical planning problems and identify research gaps. The paper contributes to an understanding of planning problems and decision-making in horticultural supply chains and provides an overview of the current research status and future research directions.
Article
Green & Sustainable Science & Technology
Jie Jian, Bin Li, Nian Zhang, Jiafu Su
Summary: This paper examines the decision-making process of a green closed-supply chain involving a manufacturer and a retailer. It analyzes the decisions and reasons of supply chain members under centralized and decentralized decision-making scenarios. The study finds that a profit-sharing contract can enhance the relationship between supply chain members and promote sustainable economic and environmental development.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Business
Bipul Kumar, Arun Sharma
Summary: Business-to-business firms faced unprecedented disruptions in global supply chains during the COVID-19 pandemic, leading to extraordinary pressure and the need for decision-making frameworks based on chaos theory to address immediate and long-term impacts.
INDUSTRIAL MARKETING MANAGEMENT
(2021)
Article
Engineering, Industrial
Boris Sokolov, Dmitry Ivanov, Alexandre Dolgui, Alexander Pavlov
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2016)
Article
Engineering, Industrial
Dmitry Ivanov, Alexandre Dolgui, Boris Sokolov, Frank Werner, Marina Ivanova
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2016)
Article
Computer Science, Interdisciplinary Applications
Dmitry Ivanov, Alexandre Dolgui, Boris Sokolov
COMPUTERS & INDUSTRIAL ENGINEERING
(2016)
Editorial Material
Engineering, Industrial
Dmitry Ivanov, Scott J. Mason, Richard Hartl
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2016)
Article
Engineering, Industrial
Dmitry Ivanov, Boris Sokolov, Inna Solovyeva, Alexandre Dolgui, Ferry Jie
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2016)
Article
Engineering, Industrial
Dmitry Ivanov, Alexandre Dolgui, Boris Sokolov, Frank Werner
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2016)
Article
Automation & Control Systems
Ivan Popov, Alexander Krylatov, Victor Zakharov, Dmitry Ivanov
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2017)
Article
Economics
Dmitry Ivanov, Alexander Pavlov, Alexandre Dolgui, Dmitry Pavlov, Boris Sokolov
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2016)
Article
Engineering, Industrial
Dmitry Ivanov, Boris Sokolov, Alexandre Dolgui
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2014)
Review
Engineering, Industrial
Dmitry Ivanov, Boris Sokolov, Alexandre Dolgui
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2014)
Article
Engineering, Industrial
Dmitry Ivanov, Richard Hartl, Alexandre Dolgui, Alexander Pavlov, Boris Sokolov
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2015)
Proceedings Paper
Operations Research & Management Science
Boris Sokolov, Vladimir Kalinin, Sergey Nemykin, Dmitry Ivanov
PROCEEDINGS - 30TH EUROPEAN CONFERENCE ON MODELLING AND SIMULATION ECMS 2016
(2016)
Proceedings Paper
Automation & Control Systems
Lars Zschorn, Steve Mueller, Dmitry Ivanov
Proceedings Paper
Automation & Control Systems
Dmitry Ivano, Boris Sokolov
Proceedings Paper
Automation & Control Systems
Inna Solovyeva, Boris Sokolov, Dmitriy Ivanov
2015 INTERNATIONAL CONFERENCE STABILITY AND CONTROL PROCESSES IN MEMORY OF V.I. ZUBOV (SCP)
(2015)