Integration of lean approach with energy efficiency: Application in kitchenware manufacturing company

Energy efficiency in the industries is one of the leading problems of the 21st century. The main aim for the companies to deal with the energy efficiency paradigm is to save the resources in the manufacturing operations. Manufacturing opera-tions involve activities that creates wastes in any case; therefore, these wastes should be eliminated, or minimized as much as possible. In this paper, it is aimed to integrate the energy efficiency term with lean management principles. The barriers and the drivers of the energy efficiency was discussed, and the 8 wastes within lean perspective were translated into energy counterparts. 8 wastes of lean approach were defined as energy efficiency perspective, and used as criteria. The study will reveal the important criteria using Fuzzy Analytic Network Process (Fuzzy ANP) method to make impli-cations about how to eliminate these wastes

Decision making for risk evaluation: integration of prospect theory with failure modes and effects analysis (FMEA)

The aim of the present study is to overcome some of the limitations of the FMEA method by presenting a theoretical base for considering risk evaluation into its assessment methodology and proposing an approach for its implementation. Fuzzy AHP is used to calculate the weights of the likelihood of occurrence (O), severity (S) and difficulty of detection (D). Additionally, the Prospect Theory-based TODIM method was integrated with fuzzy logic. Thus, fuzzy TODIM was employed to calculate the ranking of potential failure modes according to their RPNs. In order to verify the results of the study, in-depth interviews were conducted with the participation of industry experts. The results are very much in line with Prospect Theory. Therefore, practitioners may apply the proposed method to FMEA. The most crucial failure mode for a firm’s attention is furnace failure followed by generator failure, crane failure, tank failure, kettle failure, dryer failure, and operator failure, respectively. The originality of this paper consists in integrating Prospect Theory with the FMEA method in order to overcome the limitations naturally inherent in the calculation of the FMEA’s Risk Priority Numbers (RPNs).N/

Operational excellence in a green supply chain for environmental management: a case study

Nowadays, organizations have started to become more conscious about the environment in their supply chain operations. The greening process has guided supply chain practices into new ways of thinking according to green standards. The assessment of the performance of green supply chain management (GSCM) requires a holistic view for the whole supply chain. In this context, given that becoming green in the operational side of activities is essential, the performance assessment of operational activities also requires a holistic view to be taken. In this paper, an attempt has been made to improve the performance of GSCM by examining and evaluating the green operational excellence of a hot dip galvanizing company. The framework includes several green operational excellence key criteria, namely, quality management, efficiency management, green production/manufacturing, eco-packaging, and green design. First, the weights of the criteria and the respective measurements were found by fuzzy analytic network process. Then, the overall operational performance score was found by a weighted scoring method. Finally, both managerial and theoretical implications were suggested according to the outcomes and findings of the case study

Framework for a sustainable supply chain to overcome risks in transition to a circular economy through Industry 4.0

Transition from a linear to a circular economy (CE) is a challenging process for a sustainable supply chain, and innovative process approaches and technologies are needed to deal with the risks involved. Industry 4.0 principles have great potential to achieve optimal sustainable supply chain solutions and are expected to add value to sustainable supply chain operations by increasing efficiency and resource utilisation. Therefore, Industry 4.0 supports companies transitioning to a CE through improving the efficiency and sustainability of their supply chain management. Thus, the purpose of this paper is to investigate the potential risks of the transition from a linear to a CE, with proposed Industry 4.0-based responses from an operations management perspective within the sustainable supply chain. Implementation of the study was conducted in a logistics company in Turkey. An integrated MCDM (Multi-criteria Decision Making) approach was based on Fuzzy AHP, and TODIM was used to analyse the association between risks and responses. According to the findings, the most important Industry 4.0-based responses are the integrated business processes for cross-functional collaboration, modular processes for simplification and standardisation, and continuous monitoring of the cost and performance throughout the supply chain by big data and analytics. This study may assist managers in managing risks in supply chain operations during the transition from a linear to a CE through Industry 4.0 based responses. The main contribution of this study is a greater understanding of the risks related to the transition from a linear to a circular economy, and proposals for Industry 4.0-based responses as a means of overcoming these risks in a sustainable supply chain context. © 2021 Informa UK Limited, trading as Taylor ; Francis Group

Framework for a Sustainable Supply Chain to Overcome Risks in Transition to a Circular Economy Through Industry 4.0

Transition from a linear to a circular economy (CE) is a challenging process for a sustainable supply chain, and innovative process approaches and technologies are needed to deal with the risks involved. Industry 4.0 principles have great potential to achieve optimal sustainable supply chain solutions and are expected to add value to sustainable supply chain operations by increasing efficiency and resource utilisation. Therefore, Industry 4.0 supports companies transitioning to a CE through improving the efficiency and sustainability of their supply chain management. Thus, the purpose of this paper is to investigate the potential risks of the transition from a linear to a CE, with proposed Industry 4.0-based responses from an operations management perspective within the sustainable supply chain. Implementation of the study was conducted in a logistics company in Turkey. An integrated MCDM (Multi-criteria Decision Making) approach was based on Fuzzy AHP, and TODIM was used to analyse the association between risks and responses. According to the findings, the most important Industry 4.0-based responses are the integrated business processes for cross-functional collaboration, modular processes for simplification and standardisation, and continuous monitoring of the cost and performance throughout the supply chain by big data and analytics. This study may assist managers in managing risks in supply chain operations during the transition from a linear to a CE through Industry 4.0 based responses. The main contribution of this study is a greater understanding of the risks related to the transition from a linear to a circular economy, and proposals for Industry 4.0-based responses as a means of overcoming these risks in a sustainable supply chain context

Quality assurance for operating room illumination through lean six sigma

Since every mistake made in the healthcare industry can cause permanent harm or even death, some fundamental requirements should be considered when planning and designing operating rooms. Lighting is one of the most important ergonomic factors, especially for operating rooms. This paper investigates the integration of the lean approach and six sigma in measuring the efficiency of LED technology, which can also be regarded as a factor affecting the operating room efficiency. Measurement System Analysis (MSA) and Gage Control methods were applied to determine measurement variability in operating room illumination measurement process. Repeatability and reproducibility (%R&R) was found 12.89%. After calibration, %R&R value was found 8.21%, which implies that calibration helped reduce variability.N/

A model utilizing green lean in rice crop supply chain: An investigation in piura, perú

El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.This article analyzes the rice sector and the challenges related to the impact generated by production systems, such as greenhouse gas emissions in the natural environment. Previous studies show the application of Green Lean to achieve greater competitiveness and reducing the negative environmental impact. To achieve these objectives, Lean tools are used that improve quality, increase productivity, reduce inventories and costs like the Kaizen method. Therefore, this methodology is proposed through a management model in the sector analyzed to achieve the expected sustainability of the production process