Supplier selection for smart supply chain: An adaptive fuzzy-neuro approach

In recent years, companies have experienced international changes that have occurred as a result of technological advances, market globalization, or natural disasters. So, organizations are trying to improve their performance in order to be more competitive. In other words, organizations’ competitiveness highly depends on their suppliers. At present, companies need to consider and include so-called ‘resilience’, ‘sustainability’, and ‘smartness’ in the supplier’s selection to retain a competitive advantage. In this context, the purpose of this paper is to present an intelligent decision-making model for selecting the appropriate suppliers. For doing so, a set of criteria evaluation was determined to respond to the novel era circumstances. The suggested work is helpful for academics as well as professionals as it emphasizes the importance of resilient-sustainable supplier selection in the digital era.N/

Blockchain Technology for Viable Circular Digital Supply Chains: An Integrated Approach for Evaluating the Implementation Barriers

Blockchain technology (BT) is creating a new standard for all business operations. It can assist businesses in handling the complexity of circular digital supply chain management. Despite this optimistic view, several barriers hinder its implementation. In this regard, this study contributes to Industry 4.0, Circular Economy, the viability with a critical emphasis on its potential ramifications and influence on the future agenda while using BT technology in supply chain (SC). In addition, the research reduces the knowledge gap by investigating and ranking the key barriers to the deployment of BT in viable circular digital supply chains (VCDSCs) and studies their interdependencies and causal relationships. The barriers to BT adoption in VCDSC are identified through a thorough literature review and considering viability performance. These barriers are then classified using the AHP method. DEMATEL is then employed to examine the cause/effect, correlation, and connection among the 14 barriers selected barriers from the AHP classification to estimate each barrier's overall degree of impact over the others. This paper identifies and analyses the BT adoption barriers in VCDSC as well as examines how the key barriers interact. As a result, according to the AHP/DEMATEL method, the most prominent influencing barriers to the BT implementation in VCDSC are “Data transparency”, “Market competition”, “Missing infrastructure”, “Lack of standardization”, “Complex protocol”, “Lack of industry involvement”, “Financial constraints”, “Missing infrastructure”, “Data transparency” and “Interoperability”. The outcomes offer a potential path for identifying important barriers as well as insight into the implementation of BT in SC while integrating different capabilities such as viability, sustainability, and circular economy principles. Managers and researchers will benefit from this research by gaining an understanding of the challenges that must be prioritized and examined for BT to be implemented successfully in VCDSC. The use and implementation of Blockchain-enabled VCDSC continue to face challenges despite an increase in relevant practice and research. Despite the benefits of blockchain technology, managers struggle to apply such technology in the context of their company. In this respect, this paper uses an integrated AHP-DEMATEL for categorizing the BT barriers as well as the interrelationship between them. In this respect, this paper presents a The BT barriers studied are those related to the use of BT in SC while integrating different paradigms such as viability, digitalization, and circular economy. While many studies look at the barriers to BT adoption, none of them has ever included the viable capability, which means the ability to "react agilely to positive changes, be resilient to absorb negative events and re-cover after disruptions and survive at long-term periods". The study concludes with insightful comments based on the findings and suggestions for eradicating those obstacles and their associated effects

Design for environment Ontology-based knowledge management model for green product development

Through appropriate operations and policies, such as green processes and product development (PDP), companies can respond to environmental sustainability. To remain competitive, one such approach, Design for X (DFX), involves considering different environment and sustainable strategies through different factors Xs. With regards to the availability of different DFX techniques that consider environmental issues, the decision as to which approach needs to be adopted remains absent. This paper aims at presenting an overview from 1980 to 2020 of the developed research, applications, and DFX techniques for assessing green issues. Selected DFX techniques are linked with strategies used in organizations. Following a literature analysis, a collaborative knowledge-based framework that addresses the design concepts needed to assess environmental, safety, and health concerns in the development of green products is proposed. Furthermore, as a pillar for considering the Semantic Web and an evolving approach linked with Natural language processing (NLP) and Artificial Intelligence (AI), an ontology-based knowledge management model for green assessment is developed for the representation, acquisition, organization and capitalization of knowledge in a computer interpretable manner. The findings are useful for both managers and practitioners as they provide a coherent domain ontology that can help them manage knowledge, improve teamwork, and make decisions in a collaborative green PDP. Besides, an understanding of the essential design considerations that are required to implement environmental, safety, and health issues, as well as competencies used in the PDP is presented. Key barriers, managerial and strategic implications and mitigation actions are also identified in this paper.N/