Toward eco-efficient and circular industrial systems: ten years of advances in production management systems and a thematic framework

Environmental sustainability urgently needs to be embraced as a driver of development for society and industry. While researchers and practitioners herald numerous benefits when adopting eco-efficiency and circular economy approaches, these green solutions are yet to become pervasive principles for designing and operating industrial systems. This study reviews the last ten years of research contributions from the International Federation for Information Processing Working Group 5.7 (IFIP WG5.7) on Advances in Production Management Systems (APMS) through its dedicated annual conference. A systematic literature review method was employed to map the APMS conference papers against eco-efficiency principles and to identify how these principles have been addressed by this research community. A cross-thematic analysis further describes the trends around dominant themes in production research. Finally, the paper concludes with an update on eco-efficiency principles applied to manufacturing and a proposed framework to consider more systematically the environmental implications of advances in production research

Development of Gen2 RFID-based Closed-loop Supply Chain Management System

학위논문 (박사)-- 서울대학교 대학원 : 공과대학 산업·조선공학부, 2018. 2. 박진우.With the extended producer responsibility, which is a countermeasure for environmental problems such as resource depletion in manufacturing industries, responsibility of manufacturers who produce automotive, electrical and electronic equipment has been extended beyond production, retailing, to collection and recycling of the end-of-life products. Particularly in the case of recycling, a legal system has been introduced that enforces recycling at a certain rate or more on a mass basis. In this background, scope of the supply chain management also has been extended beyond forward process, which consists of sourcing, producing, and delivery, to reverse process. It is called closed-loop supply chain in terms of constantly using the resources that have been put into the manufacturing ecosystem. Proper operation of the closed-loop supply chain can maximize economic profit by value creation along with whole product lifecycle as well as complying with environmental legislation. However, chronic uncertainties of reverse process cause inefficiency in terms of overall performance of closed-loop supply chain. In terms of physical flow, the timing and quantity of end-of-life product return is difficult to predict. Moreover, recycling network is complex because there are many participants in reverse process. In terms of product lifecycle, residual values of returned products are all different due to the factors like usage environments, user behaviors, and so forth. Moreover, this problem becomes even worse at component level. Many research efforts have been proved that real-information gathering can solve this problem. In this context, a system framework that minimizes uncertainties and facilitates various positive effects along with the product lifecycle by using the internet-of-things including radio frequency identification (RFID) and sensors, will be proposed in this dissertation. Unlike the existing approaches that only tag products, component-level individual tagging that tags not only products but also components will be proposed for more detailed lifecycle information management. Especially, encoding the family relationships among the components, by using user memory that is provided by Gen2 RFID protocol, will be proposed to extract new contribution. Information system including RFID tag encoding scheme, will be designed to strictly comply with the established standards to ensure compatibility within the industries in the future. Additionally, potential effects will be examined. Real-time monitoring and maintenance (RMM) and counterfeit prevention scheme, which are intangible effects in terms of product service in the middle-of-life phase, will be introduced. Especially, sweeping scan approach to prevent structural counterfeits of products by using the family relations in the user memory, will be introduced. Also it will be shown that the proposed system is valuable for remanufacturing process streamlining and hybrid remanufacturing/manufacturing production planning with numerical studies.1. Introduction 1 1.1. Product Recycling 1 1.2. Closed-loop Supply Chain 4 1.3. Internet-of-Things 8 1.4. Goal and Scope 10 2. Literature/Technology Review 15 2.1. Literature Review 15 2.2. Technology Review: RFID and Gen2 Standard 21 3. Analysis of Korean ELV Remanufacturing Industry 24 3.1. Overview 24 3.2. Problem Extraction and Classification 26 4. Design of the Proposed System 32 4.1. Lifecycle Information Gathering and Component-level Tagging 32 4.2. Information System Framework and Lifecycle Implications 37 4.3. Design of Data Architecture 46 4.4. Database Transactions for Potential Effects 57 5. System Implementation in the MOL Phase 61 5.1. Real-time Monitoring and Maintenance 61 5.2. Counterfeit Prevention 66 6. Remanufacturing Process Streamlining 70 6.1. Elimination of the Unnecessary Loop 70 6.2. A Requisite for Enhancement 77 7. Hybrid Production Planning for a Remanufacturing/Manufacturing System 87 7.1. Conceptual Modeling 87 7.2. Mathematical Modeling 94 7.3. Computational Results 101 7.4. Sensitivity Analysis 110 8. Conclusion 126 8.1. Summary 126 8.2. Limitations and Future Research Direction 129 Appendix. Numerical Experiment Settings 131 Bibliography 138 국문초록 149Docto

Designing a Lifecycle Integrated Data Network for Remanufacturing Using RFID Technology

Part IV: ICT and Emerging Technologies in Production ManagementInternational audienceWith the emergence of concerns regarding pollution and the exhaustion of resources, original equipment manufacturers have begun to take responsibility for environmentally sound manufacturing according to regulations that have been established. Manufacturers thus need to decide how much they will recycle and which options to pursue for minimizing operation costs and environmental impacts, while complying with regulations. They cannot, however, predict the quality of returned products, and as a result, the planning of recycling activities is not reliable. Moreover, the components of products all have different ages and lifetimes. Thus, there may be a number of components that can be recycled more than once. If the life history of these components is not available, though, recyclable components may be disposed of after being recycled once. In this paper, we propose an integrated data system that uses radio frequency identification technology to provide useful information that can make remanufacturing more efficient