https://findresearcher.sdu.dk:8443/ws/files/116118561/reverse_logistics.pdf

Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future

Quantitative models for sustainable supply chain management: Developments and directions

Environmentally conscious manufacturing and product recovery (ECMPRO): A review of the state of the art

Contents: Variety and Quality. Variability loss and tolerance. Determining tolerances. Tolerance design and experimental design. Offline and online quality control. Parameter design and tolerance design: case study. Experimental design for smaller is better characteristics. Experimental design for larger is better characteristics. Bypassing the S/N ratio: spring experiment. Experimental design for dynamic characteristics.

Introduction to quality engineering. designing quality into products a

https://www.repository.cam.ac.uk/bitstream/1810/280260/1/Geissdoerfer%20et%20al.%202018_Author%27s%20version.pdf

Business models and supply chains for the circular economy

https://hal-emse.ccsd.cnrs.fr/emse-01145818/document

Use of MCDM techniques in environmentally conscious manufacturing and product recovery: State of the art

Remanufacturing Modeling and Analysis

Depleting natural resources and limited amount of landfill areas have forced many governments to impose stricter measures on environmental performance. In order to comply with those measures and to have a better environmental image, companies are investing heavily in environmental, social and economic responsibility issues. Moreover, they continuously track the environmental performance of their suppliers. Many green supplier evaluation and ranking methodologies were proposed in the literature in order to assist companies in the environmental performance evaluation of suppliers. However, the number of studies on the sorting of suppliers based on environmental criteria is very limited. In this study, we fill this research gap by proposing a novel VIKOR-based green supplier sorting methodology called VIKORSORT. This methodology evaluates the environmental performance of suppliers and sorts them into the predefined ordered classes. The proposed methodology can easily be embedded into an expert system which can suggest a suitable green supplier development program for each class.

A green supplier evaluation system based on a new multi-criteria sorting method: VIKORSORT

Environmental supply chain is a desirable alternative to traditional supply chain due to new and stricter environmental regulations by local governments and increasing consumer awareness towards environmental issues. The two most common types of environmental supply chains are reverse supply chains and closed-loop supply chains. In reverse or closed-loop supply chains, collected used products are subjected to one of four recovery options, viz., reuse, recycling, remanufacturing or disposal. Regardless of the chosen recovery option, all products are disassembled up to some level. However, there is a high level of uncertainty associated with the disassembly yield due to non-functional and/or missing components. Sensor embedded products (SEPs) is a viable approach to cope with this uncertainty since they involve sensors which can detect non-functional and/or missing components prior to disassembly. This study presents a quantitative assessment of the impact of SEPs on the various performance measures of a kanban-controlled disassembly line. First, separate design of experiments studies based on Orthogonal Arrays are carried out for conventional products and SEPs. Then, the results of paired t-tests comparing the two cases based on different performance measures are presented.

Mehmet Ali Ilgin

Papers

Environmentally conscious manufacturing and product recovery (ECMPRO): A review of the state of the art

Use of MCDM techniques in environmentally conscious manufacturing and product recovery: State of the art

Remanufacturing Modeling and Analysis

A green supplier evaluation system based on a new multi-criteria sorting method: VIKORSORT

Performance improvement potential of sensor embedded products in environmental supply chains