The effect of lifetime on learning and forgetting in a supply chain inventory model with a service level constraint
تأثیر زندگی در یادگیری و فراموشی در مدل موجودی زنجیره تأمین با محدودیت سطح خدمات-2021
A supply chain inventory model for decaying goods has been established in this paper, assuming that the decaying items have a maximum life period. Uncertain Lead time is assumed taking into account the effect of learning-forgetting on ordering costs. Constraint on the quality of service is incorporated. Mathematical formulation has been performed for both the manufacturer and the supplier. Numerical examples are given to explain the proposed problem of seeking optimal recovery policies. Finally, a sensitivity analysis was carried out to study the influence of differences in various parameters.© 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the 1st International Conference on Computations in Materials and Applied Engineering – 2021.
Keywords: Supply chain | Service level constraint | Learning and forgetting
Circular supply chain management with large scale group decision making in the big data era: The macro-micro model
مدیریت زنجیره تأمین دایره ای با تصمیم گیری گروهی در مقیاس بزرگ در عصر داده های بزرگ: مدل خرد خرد-2021
Today, achieving the circular economy is a common goal for many enterprises and governments all around the world. In the big data era, decision making is well-supported and enhanced by a massive amount of data. In particular, large scale group decision making (LSGDM), which refers to the case in which a lot of decision makers join the decision making process, has emerged. Social network analyses are known to be relevant to LSGDM. In this paper, we examine the literature on LSGDM and highlight the current methodological advances in the area. We review the works focusing on applications of LSGDM. We study how big data can be used in circular supply chains. Based on the reviewed studies, we further construct the three-stage LSGDM CSCM micro framework as well as the five-step LSGDM CSCM macro framework (with a feedback loop) and form the Macro-Micro Model. We discuss how the Macro-Micro Model can help to support circular supply chain management (CSCM). We propose future research directions and areas. This paper contributes by being the first study uncovering systematically how LSGDM can be applied to support CSCM in the big data era using the Macro-Micro Model.
Keywords: Large scale group decision making (LSGDM) | Circular supply chains | Research agenda | Literature review | Frameworks | Macro-micro model
Balanced Scorecard approach in deducing supply chain performance
رویکرد کارت امتیازی متوازن در استنباط عملکرد زنجیره تأمین-2021
Supply chain management showcases a major role in enhancing organizational efficiency and effective- ness. A proficient supply chain can lead to abridged costs, augmented market shares, improved transactions and sustainable customer relationships. Nevertheless, designing a supply chain alone may be inadequate in bettering the overall performance of an organization which can only be improved through evaluation. For deducing supply chain performance, the Balanced Scorecard (BSC) is an appropriate tool, apart from Supply Chain Operations Reference models (SCOR), Analytic Hierarchy Process (AHP), Data Envelopment Analysis (DEA) and Heuristic techniques based models. Modern firms face inabilities in measuring their real performance against the demanded performance. Real performance is often greater or lesser than the demanded performance which leads to uncertain and delicate supply chains. Accounting for this ambiguity and improving supply chain performance using Balanced Scorecard model is the emphasis of this research effort, by providing an approach to inspect value creation from four standpoints such as financial, customer, internal business process, learning and growth. In this paper, the drag factors which affects the above four standpoints have been explored and removed, to mend the supply chain for better profits.© 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the International Conference on Sustainable materials, Manufacturing and Renewable Technologies 2021.
Keywords: Balanced Scorecard | Supply chain performance | Drag factors | Stand points | Organizational efficiency
The adoption of digital technologies in supply chains: Drivers, process and impact
پذیرش فناوری های دیجیتال در زنجیره های تأمین: محرک ها ، روند و تأثیر آن-2021
Digital technologies have been extensively studied in academic research and industry. However, little is known about the adoption of digital technologies in manufacturing firms at a supply chain level. This paper aims to understand why and how manufacturing firms adopt digital technologies, and the impact of the adoption on supply chains. The study uses literature review method, identifies the main drivers of manufacturing firms adopting digital technologies (why), develops a new model of the adoption process (how), and synthesizes the impact of the adoption on supply chains into four aspects (what): supply chain efficiency, supply chain structure, sustainability and innovation. The paper then proposes a conceptual framework consisting of driver, process and impact, and discusses their inter-relationships. The study identifies that the technological intelligence and supply chain cooperation are two important factors and proposes a two-dimentional levels of adopting digital technologies according to their low-to-high degrees. The proposed framework, in particular the levels of digital technology adoption, are novel to the existing literature. Each of the three parts of the framework and their inter- relationships lays a foundation for further empirical studies in this field. This study also provides guidance for practitioners adopting digital technologies for supply chain management and developing appropriate business strategies at different digitalization levels.
Keywords: Digital technology | Digital supply chain | Digitalization | Technology adoption | Supply chain management
Digging for due diligence: The case of non-state mineral supply chain regulation by ITSCI in Rwanda
حفاری برای دقت لازم: مورد تنظیم زنجیره تأمین مواد معدنی غیر دولتی توسط ITSCI در رواندا-2021
Today’s complex mineral supply chains make it difficult to hold private actors to account in case they breach regulations. Non-state actors increasingly make efforts to help regulate these mineral supply chains via due diligence programmes. The purpose of this study is to investigate how non-state mineral supply chain regulation functions on the ground, and whether and under what conditions non-state actors can hold private actors to account. Based on an in-depth case study of the ITSCI programme in Rwanda, we demonstrate that although non- state regulation of mineral supply chains has huge potential, the ITSCI programme faces several challenges. We find that there are four conditions to be met for non-state actors to hold private supply chain actors to account: 1) the programme should provide clear and timely information to all stakeholders; 2) high-quality and frequent monitoring should be ensured; 3) there should be a possibility of imposing credible sanctions; and 4) the governance of the programme should act in the public interest. On the basis of our research it is reasonable to conclude that the ITSCI programme meets the third condition on sanctions, but that it faces a number of challenges with respect to the first, second and fourth condition.
Keywords: Accountability | Mineral supply chains | Due diligence | ITSCI | Rwanda
Impact of ambidexterity of blockchain technology and social factors on new product development: A supply chain and Industry 4:0 perspective
تأثیر دوسویه فناوری بلاکچین و عوامل اجتماعی بر توسعه محصول جدید: زنجیره تامین و چشم انداز صنعت 4:0-2021
This study develops a technology and social capital process aided product innovation conceptual model based on dynamic capability and supply chain ambidexterity theory. The strategy of organizational ambidexterity unbalancing technological and relational social capital factors between buyers and suppliers leads to a higher level of digital manufacturing capabilities and enhances buyers’ innovation potential, considering the sustainable practices in their processes to cope with Industry 4.0 manufacturing processes and sustainability challenges. The study empirically validates the model using data collected from 379 French manufacturing companies. This is the first study that examines how buyers perceive the role of blockchain technology in exploring and exploiting innovation management in the Industry 4.0 era. The study advances understanding on the theory of ambidex-terity of supply chains in buyer–supplier relationships. The study results show the positive effect between internal integration and blockchain technology as well as relational social capital factors in buyer–supplier relationships. The findings underscore the critical role of relational and technological capital in buyer–supplier relationships, specifically to act as a catalyst for exploiting internal capabilities to achieve the innovation targets. The unique findings state blockchain technology mediation is dominant in exploiting the internal capabilities and benefits buyers’ innovation orientation.
Keywords: Buyer innovation | Blockchain technology | Supply chain ambidexterity | Relational capital | Industry 4.0 | Sustainability
Conflict minerals and battery materials supply chains: A mapping review of responsible sourcing initiatives
زنجیره های تأمین مواد معدنی و مواد باتری درگیری: بررسی نقشه ابتکارهای مسئول تهیه منابع-2021
Responsible mineral sourcing is a major issue on the global sustainability agenda. Spurred by “conflict minerals”, debates about the ethics of mineral supply chains now encompass a broad set of concerns including child labor, corruption, environmental degradation, and a green transition away from fossil fuels. The past two decades have seen a flurry of initiatives to clean up supply chains and protect the reputation of major companies. Based on a mapping review of 220 studies of responsible mineral supply chains, this study highlights the approaches that responsible minerals sourcing initiatives have taken, focusing on conflict minerals (tin, tungsten tantalum and gold) as well as metals and minerals needed for renewable energy technologies in a transition to a low carbon economy (cobalt, graphite, lithium, manganese and nickel). We briefly describe the evolution of these initiatives, contrast arguments about mandatory and voluntary approaches, summarize findings regarding their impacts on local communities and corporate actors, and discuss the challenges and opportunities of new technologies and traceability systems.
Keywords: Responsible sourcing | CSR | Supply chains | Blockchain | Conflict minerals | Cobalt
Research on the financing income of supply chains based on an E-commerce platform
تحقیق در مورد درآمد تأمین مالی زنجیره های تأمین براساس یک بستر تجارت الکترونیکی-2021
Rapid economic development has brought about the expansion of the supply chain. In the context of the demand for finance and emerging financial technology tools, supply chain finance on e-commerce platforms is developing rapidly. It not only strengthens the ability to serve the real economy, but also brings market risks caused by excessive supply chains. In the Internet era, IoT technology promotes the exchange of information, while it also has certain risk characteristics. This research implements the peaks over threshold (POT) model to investigate the value at risk (VaR) and expected loss (ES) in the supply chain of e-commerce platforms under the risk of un- expected changes in the market. The study finds that the supply chain of e-commerce platforms based on Internet of Things (IoT) technology suffers less risk in losses. The application and expansion of this technology will effectively lower the market risk of supply chain finance and better serve economic development.
Keywords: E-commerce platform | Supply chain | Market risk | POT model
Internal and external corporate social responsibility activities and firm value: Evidence from the shared growth in the supply chain
فعالیت های مسئولیت اجتماعی شرکت داخلی و خارجی و ارزش شرکت: شواهدی از رشد مشترک در زنجیره تأمین-2021
Despite the long history of corporate social responsibility (CSR) research, few studies have focused on CSR activities related to business partners in supply chains. In this regard, we investigate whether internal (or backward) CSR enhances firm value. Using an index from the Korea Commission for Corporate Partnership, which indicates whether a firm shares its profits with business partner companies, we find that firm value increases as this backward CSR increases. Further, after controlling for internal CSR, firms engaged only in external CSR have lower firm value than non-CSR firms. Interestingly, we find that firms involved in both internal and external CSR have higher value. Overall, by showing that internal CSR is a core activity that enhances firm value, our study provides policy implications for the regulatory bodies of different countries. Copyright © 2021, Borsa I_stanbul Anonim S¸ irketi. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).JEL classification: M14; M48
Keywords: Internal CSR | External CSR | Firm value | Supply chain | Shared growth
A fuzzy based hybrid decision framework to circularity in dairy supply chains through big data solutions
چارچوب تصمیم ترکیبی مبتنی بر فازی برای مدور بودن در زنجیره های تامین لبنیات از طریق راه حل های داده های بزرگ-2021
This study determines the potential barriers to achieving circularity in dairy supply chains; it proposes a framework which covers big data driven solutions to deal with the suggested barriers. The main contribution of the study is to propose a framework by making ideal matching and ranking of big data solutions to barriers to circularity in dairy supply chains. This framework further offers a specific roadmap as a practical contribution while investigating companies with restricted resources. In this study the main barriers are classified as ‘eco- nomic’, ‘environmental’, ‘social and legal’, ‘technological’, ‘supply chain management’ and ‘strategic’ with twenty-seven sub-barriers. Various big data solutions such as machine learning, optimization, data mining, cloud computing, artificial neural network, statistical techniques and social network analysis have been suggested. Big data solutions are matched with circularity focused barriers to show which solutions succeed in overcoming barriers. A hybrid decision framework based on the fuzzy ANP and the fuzzy VIKOR is developed to find the weights of the barriers and to rank the big data driven solutions. The results indicate that among the main barriers, ‘economic’ was of the highest importance, followed by ‘technological’, ‘environmental’, ‘strategic’, ‘supply chain management’ then ‘social and legal barrier’ in dairy supply chains. In order to overcome circularity focused barriers, ‘optimization’ is determined to be the most important big data solution. The other solutions to overcoming proposed challenges are ‘data mining’, ‘machine learning’, ‘statistical techniques’ and ‘artificial neural network’ respectively. The suggested big data solutions will be useful for policy makers and managers to deal with potential barriers in implementing circularity in the context of dairy supply chains.
Keywords: Dairy supply chain | Barriers | Circular economy | Big data solution | Fuzzy ANP - VIKOR | Group decision making system