Manufacturing raw materials to get products to consumers in traditional supply chain systems is a manual process with inadequate data and transaction security.In addition, the entire procedure becomes cumbersome as it is time consuming.Overall, undivided processes are inefficient and unreliable for consumers.When blockchain and smart contract technology are integrated with traditional supply chain management system, data security, reliability, time management and transaction process will be greatly improved.Blockchain is a revolutionary decentralized technology that protects data from unauthorized access.Once smart contracts are implemented, the entire supply chain management (SCM) becomes consumer happy.Involvement of intermediaries thus increases the credibility of the plan.The tags used in his traditional SCM process are expensive and offer limited functionality.Therefore, it is difficult for SCM systems to maintain product confidentiality and accountability.It is also a common target for wireless attacks (reply attacks, eavesdropping, etc.).In SCM, the term product confidentiality is very important.This means that only verified persons can access the information.The purpose of this document is to provide an overview of the use of blockchain technology in the supply chain sector.While this technology is often associated with cryptocurrencies, it also shows promise in non-financial applications such as the supply chain, energy and food industries.Blockchain can provide a permanent, shareable and verifiable record of products across the supply chain, improving product traceability, authenticity and legality in a more cost-effective manner.An example of a micro factory proposal using blockchain technology was introduced.
Purpose Blockchain technology has the potential to enhance information and knowledge management among members of the supply chain. This study aims to demonstrate the direct and indirect impact of blockchain adoption on achieving supply chain competitive advantage and improving innovation capabilities to achieve greater supply chain performance. Design/methodology/approach The study opted for a quantitative research approach. A structured questionnaire was used to collect data from 284 respondents from various Jordanian manufacturing firms. Smart PLS software was used to conduct structural equation modelling to test the proposed hypotheses. Findings The analysis revealed that investing in and using blockchain-enabled supply chain applications improves the ability to achieve higher levels of productivity, lead times, customer service and relationships with supply chain members. Moreover, blockchain technology integration with supply chain management processes has a positive impact on innovative activities that support supply chain operations. Finally, blockchain adoption has enhanced supply chain performance by reducing transaction costs, improving customer service and increasing the speed of supply chain operations. Research limitations/implications The study provides guidance for decision-makers and academicians on the use of blockchain adoption to improve supply chain performance. Future studies should use a larger sample size and random sampling techniques to achieve better generalizability of the results. Originality/value The study fulfils an identified gap in the application of blockchain technology to improving supply chain performance within a broader context that encompasses supply chain innovation capabilities and competitive advantage.
During the past decades, the global manufacturing industries have been reshaped by the rapid development of advanced technologies, such as cyber-physical systems, Internet of Things, artificial intelligence (AI), machine learning, cloud/edge computing, smart sensing, advanced robotics, blockchain/distributed ledger technology, etc [...]
Purpose Creating visibility in the supply chain (SC) helps in making it resilient. Integrating the SC with Industry 4.0 key enabling technologies creates visibility and sustainability in SCs. It also fosters intelligent decision-making, thereby making a SC smart. However, how Industry 4.0 technologies affect key performance indicators (KPIs) of a resilient SC and may help achieve sustainability is rarely studied. Design/methodology/approach Sixteen KPIs were identified from the literature review and analyzed using fuzzy analytic hierarchy process (FAHP) using expert opinions. Further, a sensitivity analysis was conducted for the KPIs by varying the weightage of the criteria. Later, KPIs results were analyzed, and (1) how and which Industry 4.0 technology helps improve the KPI? (2) Resilience relationship with sustainability? were discussed. Findings The analyses show that the time-oriented (TO) is an essential criterion and organizational (OR) is the less important comparatively. Lead time, time to market and risk assessment frequency are the top KPIs that need a focus. Blockchain, Big Data and Cyber-physical systems enhance KPI's value and, in turn, foster economic, environmental and social sustainability of the SC and help in better decision making in terms of smart contracts, better forecasting and enhanced real-time information sharing. Originality/value Identification of the KPIs, the impact of Industry 4.0 technologies and the impact on sustainability; this kind of interplay is rarely evident in the literature. Understanding the findings of this research will help managers develop smart systems that may work intelligently to overcome risks associated and enhance sustainability. Academicians can use the findings and conduct future research that can overcome the limitations of this research.
Abstract Previous studies indicate that green supplier integration can promote supplier knowledge sharing as a core resource and capability to strengthen supply chain resilience and achieve green performance for sustainable development. However, due to the lack of an effective approach and technology to improve green supplier integration, it is difficult for suppliers to promote or even maintain sharing. Few studies note that green supplier integration through lean practices may efficiently promote supplier knowledge sharing, and blockchain combinations may produce efficiencies in maintaining supplier knowledge sharing intention. However, there are still disputes and a lack of deep verification. Thus, this study aims to explore the following questions. First, when green supplier integration is improved through lean practices, can it promote supplier knowledge sharing and further strengthen supply chain resilience and green performance? Second, to what extent do blockchain combinations moderate the relationship between supplier knowledge sharing and supply chain resilience and why? Based on the natural resource‐based view and knowledge‐based view, this study builds a theoretical framework and verifies it using PLS‐SEM based on 214 Chinese manufacturers. The results of our analysis show that suppliers' knowledge sharing with manufacturers can certainly be promoted when lean practices are adopted to improve green supplier integration. In addition, blockchain combinations can certainly maintain supplier knowledge sharing intention and ensure that supply chain resilience related to prevention is continuously strengthened. In sum, our findings make useful contributions to the literature on the efficiencies of lean practices and blockchain combinations in the context of green supplier integration.
Algan Tezel, Dimosthenis Kifokeris, Carlos Torres Formoso, Lauri Koskela · 5 authors
Blockchain is a distributed ledger technology referring to decentralized databases existing across multiple locations and participants, in which the need for intermediaries to process, validate or authenticate transactions is reduced or eliminated. Such transactions are synchronously held by computer nodes in distributed copies, with cryptographic signatures validated through consensus protocols and transparency achieved through peer-to-peer transactional access among the nodes. Blockchain-based applications can be preferred over centralized databases on the basis of high levels of trust, data security, immutability, transparency, and multi-user consensus protocols. There is growing interest in blockchain in the built environment, with a focus on procurement, the management of supply chain project-life cycle, smart cities, intelligent systems, sustainability, and decentralized organizations. However, there is little discussion on whether and how blockchain will affect the advances in lean construction (LC) and vice versa. This paper therefore proposes a framework that establishes interactions between blockchain and lean construction, which can potentially facilitate the implementation of both. It is based on a synthetic literature review. The results indicate that blockchain can facilitate the implementation of LC (e.g., recording and retrieving of Last Planner data), and vice versa (e.g., value stream mapping guiding the integration of blockchain with processes).
New Zealand’s rising demand for new and affordable homes is driving innovative and effective methods for project delivery. Prefabrication or off-site construction is considered an innovative approach to project delivery that eliminates the limitations of traditional construction methods. However, the prefabrication industry struggles with several challenges, including poor coordination and low supply chain integration amongst its partner organisations. There has been previous literature on improving the prefabrication supply chain integration, but few studies about the role of technology in this sector. Therefore, this article provides intuitions into the applicability and benefits of advanced technologies, namely blockchain, for improving supply chain integration in the context of prefabrication in New Zealand. A questionnaire survey was used to identify the channels used for information exchange between clients and contractors. Moreover, the questionnaire ascertained the positive effects of blockchain on enhancing supply chain integration between the two partners. Blockchain has proven to be a secure information integration instrument that can improve the integration of the prefabrication supply chain by fostering collaboration between organisations.
Intelligent transformation of manufacturers requires smart logistics transformation collaboration, which improves competitiveness. In this study, we construct a Stackelberg game model based on the mutual influence and restriction in the relationship between a manufacturer and a logistics service provider (LSP) undergoing smart logistics transformation. We investigate whether cost-sharing (CS) or revenue-sharing (RS) contracts can coordinate the supply chain and suggest a hybrid CS–RS contract to improve performance. We find that, compared with decentralized options, CS and RS contracts achieve a higher level of smart logistics transformation. While the coordination and effectiveness of CS contracts are superior to those of RS contracts, neither can fully coordinate the supply chain. The proposed hybrid CS–RS contract allows the manufacturer to share the LSP’s costs before the transformation and its partial revenue after transformation, so that the LSP can reduce its service charge, thereby achieving full supply chain coordination.
Procurement is the most important part of the pharmaceutical logistic cycle. It is the process of acquiring supplies after a properly selected list of products. The procurement system or model depends on the type of organization weather it is governmental or private, centralized or decentralized, autonomous or semiautonomous. The objectives of procurement system is to make available the right drug in an appropriate quantities of adequate quality from a reliable supplier at the right time with the lowest possible prices through an ethical and legal procedures. Prequalification of suppliers is the successful quality assurance activity. Needs and funds can be reconciled and a rational cut can be done by using ABC- VAN matrix technique. Purchasing should be by transparent competition through open tender, restrictive tender, restricted competition or in certain cases by direct negotiation by transparent committee leading to transparent contract. One of the most important procurement practice for the system to succeed is the reliable payment and efficient financial management and monitoring the supplier performance. The system should have an efficient quality assurance program with annual auditing and regular reports.
Purpose This study investigates the competencies required for quality management professionals to meet the needs of industry 4.0. The authors use a case study strategy at an electronics manufacturer in southern Malaysia, to adapt their role to be relevant in the industry 4.0 environment. In doing so, this study answers the following four questions: (1) How are the changing technological trends expected to impact the future role of quality in industry 4.0? (2) What are the competencies gap between current and future roles of quality professionals? (3) What are the views and practices related to quality roles? (4) How can the gaps identified be closed to meet the quality challenges of industry 4.0? Design/methodology/approach The research methods consist of a comprehensive review of literature on the technological trends towards industry 4.0 and the impact on the role of quality and competence that may be required in the future, as well as internal document review on the current roles of quality professionals in an electronics manufacturer in southern Malaysia, to identify the competence gap. Empirical data was collected based on surveys conducted on 64 quality professionals with a response rate of 96.88%. Interviews were conducted on three decision-makers from critical areas in the electronics manufacturer for viewpoints from three different perspectives: finance, operations and talent development. Findings Quality professionals will require technical competencies to interpret large amounts of data from processes to make strategic decisions, the use of new AR tools and be aware of data security risks. Methodological competencies will be required to use data to identify the source of problems, to access reliable sources of learning and the ability to use new tools for solving complex problems efficiently. Social competencies will be required in communications across multi-sites, suppliers and customers in new collaborative virtual platforms, with the ability to retain tacit and explicit knowledge, in a decentralized environment that will require leadership ability to make decisions. Personal competencies required will be the ability to work in a flexible workplace and time and more frequent work-related changes. Research limitations/implications The limitation of the study is based on what the authors currently know of the future, which may not be much for the quality professionals in the electronics manufacturer, who have not been exposed much to the technology yet. The potential for the future landscape to change dramatically with rapid technology changes may also result in a different set of skills for future quality professionals. The quality professionals who were involved in this study were the quality executives, engineers and managers, irrespective of their gender, age, length of service and experience in the field of quality. Therefore, these variables were not taken into consideration for this research. Practical implications This research helped to identify the role of quality in industry 4.0 and key competencies that the quality professionals in the electronics manufacturer will require to adapt to their role in industry 4.0. However, based on the questionnaire and the interview comments of key personnel, it can be concluded that quality professionals lack awareness of their new roles in industry 4.0. This could be due to the fact that the new technology is not implemented by quality professionals but by the innovation team based in Singapore headquarters, as was also advised by the operations head. Social implications The benefit of industry 4.0 technology is clearly shown by Philips's new Dutch factory with robotized technology that was able to produce the same output with one-tenth of the workers of its China factory (Rifkin, 2014, chapter 8). Rojko (2017, p. 80) also shared a similar view that industry 4.0 is expected to reduce production costs by 10–30%, logistics costs by 10–30% and quality management costs by 10–20%. The importance of this research can be seen from the findings of “The Future of Jobs” (2018, p. 22), which suggests that the window of opportunity for organizations to leverage the new technology to re-skill is within the period of 2018–2022, in order to enable employees to reach full potential in the high value-added tasks. The electronics manufacturer may need to keep to this timeline to maintain its competitive advantage. Originality/value The purpose of this paper was to determine the competence gap of current quality professionals in the electronics manufacturer with the competencies required in industry 4.0. This led to the third objective, to identify the views of stakeholders based on the propositions derived from the gaps identified, to triangulate the findings, to conclude the competency gaps of the current quality professionals in the electronics manufacturer. Finally, the objective of this paper was to make a recommendation on how to prepare the quality professionals in the electronics manufacturer for their role in industry 4.0. The research identified the technical, methodological, social and personal competencies gap of the quality professionals in the electronics manufacturer by looking at the changes expected in industry 4.0 from four aspects, factory (people and process), business, product and customers.
Anil Kumar Vishnubhotla, Rupesh Kumar Pati, Sidhartha S. Padhi
Increase in competition and the strategic move of enhanced outsourcing has made supply chain more complex. Various applications and software solutions are available to better manage this complexity. It has been observed that often such initiatives may not provide the excepted benefits. It has also been reported that an unclear understanding of business needs (including perceived risks) is the main reason of supply chain failure. The present study attempts to capture enterprise level supply chain risk in an oil company (case company) in India and explore if perception of a decision maker favours use of blockchain technology project to reduce the supply chain risk. The study adopts the following methodology: in-depth semi-structured interviews and structured survey was carried out with the top management of the case company to identify various enterprise level risks for supply chain management (SCM) projects which were subsequently clustered under Operations, Finance, Human Resources, and Strategic Business Risk categories. Inputs on the probability of occurrence and impacts of the identified risks on the enterprise-wide supply chain was mapped on the risk severity matrix (heat map) to prioritize the risks. Subsequently, the second round of questionnaire was developed and a similar survey carried out again with the same sample show the change in risk perception due to potential application of blockchain technology. Interesting insights could be gained from the practitioner’s perspective on the value contribution of using blockchain for improving management of SCM risks. It could be observed that a number of the high priority risk (in the initial scenario) could now be eliminated or managed due to specific characteristics of blockchain.. One of the major limitations of the present study is the lack of generalizability of the insights as it is based exclusively on the perspective of the case company towards the blockchain.
As Supply Chain Management has continuously evolved, it has during recent times been exposed to the opportunities and threats that follow globalization. Firms have the possibility of getting their products/services to customers worldwide by outsourcing processes. This possibility has even turned mandatory for numerous firms in order to be competitive. However, such decisions can expose the Supply Chain to various risks. Because of lack of data and Supply Chain Structures, decision-makers need to distinguish advantages vs. disadvantages between centralized, decentralized or even outsourced structures. The purpose of this study has been, based on gathered data from a case company, to determine what Supply Chain structure to opt for when it comes to purchasing. This master thesis has performed a literature review on the science of Data Mining to enrich the quality of a quantitative part based on databases of the case company. The study also reviews Supply Chain Management strategies and how to select an appropriate distribution channel design - allowing for a framework about selecting an appropriate network design and another framework summarizing current literature’s contribution on the question of centralization versus decentralization based on Finance, Performance or Information. These three pillars are the aspects used as reference of analysis in various literature and could therefore be compared with empirics. The selection framework was filled in by key individuals at the case company and was associated with qualitative contributions from interviews about strengths and weaknesses of three scenarios involving centralization, decentralization or outsourcing. With obtained data, it was possible to identify all strengths and weaknesses of each scenario and discuss differences to select the best possible option. The findings were summarized into a framework where one can clearly see pros and cons of each scenario, thus providing a concise summary of implications following centralization, decentralization and outsourcing respectively. The results of the distribution network pointed towards a decentralization of the purchasing function as a more cost-efficient strategy, but these results must be questioned because of the current setting-bias with the spreading of the COVID-19 virus and its economic consequences. However, when all arguments were grouped into the final summarizing figure, it was concluded that the outsourcing strategy is the most advantageous. This thesis has thus permitted the extension of a framework that identifies the best distribution network design and summarized the implications of centralizing, decentralizing or outsourcing purchasing.
Nowadays, the small and medium-sized enterprises (SMEs) are frequently confronted with the difficulty of financing hard and financing expensive. This paper investigates a financing strategy called the purchase order financing together with reverse factoring financing strategy, which is able to fulfill the financing demands of SMEs at different stages. Numerical experiments are conducted in order to compare the supply chain performance and efficiency between this financing strategy and the purchase order financing models in decentralized and centralized decision-making situations, which concludes that models considering the reverse factoring financing, i.e., purchase order financing together with reverse factoring financing two-stage decision-making model and the global decision-making model, have better supply chain efficiency than the benchmark model that only considers the purchase order financing, and the choice between two candidates depends on the standard deviations and the retailer prices.
Zoltán Balogh, Emil Gatial, José Barbosa, Paulo Leitão · 5 authors
Maintenance is a key factor to ensure the production efficiency, since the occurrence of unexpected failures leads to a degradation of the system performance, causing the loss of productivity and business opportunities, which are crucial roles to achieve competitiveness. The article aims to propose a reference architecture which will improve the way maintenance is considered in the current manufacturing world, by enabling an overall increase of production rates, while increasing the operational equipment effectiveness and decreasing the impact of maintenance needs. This objective would be accomplished by establishing an IoT infrastructure for the collection of the huge amount of available shop floor data, which can be analyzed, considering data analytics algorithms, predictive maintenance models and forecasting techniques, to perform the machine/system health assessment and prediction of maintenance needs, e.g. by detecting earlier the occurrence of possible failures and consequently the need to implement maintenance interventions. The scheduling of predictive maintenance needs will be integrated with the existing maintenance planning tools, and especially synchronized with the production planning tools to achieve a nondisruptive maintenance impact in the production system. A cloud-based collaborative maintenance services platform allows the secure collection, aggregation and analysis of a large amount of shared data from numerous manufacturers that use the same or similar machinery, and acts as an open market where companies can contract specialized maintenance services. This reference architecture aims to provide replicable architecture to be broadly applicable in a variety of industries, capable to improve the production efficiency through a real-time health monitoring and early detection of failures and outages, to speed up the maintenance delivery, and consequently mitigate their impact.