• Energy Research

AbstractThe population of the world is increasing, and product demand is increasing, making a linear economy ineffective, and therefore, this situation makes the circular economy (CE) a requirement. Economic, social, and environmental factors all play a role in the CE. Also, logistics activities are critical parts of the CE. Hence, this study's goal is to create a framework for evaluating organizations' CE logistics performance. The main contribution of the study is the creation of a framework to assess the circularity performance, including various logistics activities, and measure the performance of logistics activities. To establish a list of criteria, 30 experts were interviewed. The criteria were ranked using fuzzy statements. The selected multi‐criteria decision‐making (MCDM) method, data envelopment analysis, is applied using IBM ILOG CPLEX Optimization Studio version 20.1.0.

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 ener-gy 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 implications about how to eliminate these wastes.

Private, public, profit, and non-profit organizations, and society as a whole currently face a significant reliable information necessity problem. Especially supply chains need trustworthy information to perform their activities successfully. This study aims to propose a framework and identify how reliability of information can be evaluated and measured through the concept of transparency. In this context, dimensions such as; comprehensiveness, regularity, timeliness, content, scope, and user-friendliness are the pillars of the proposed framework. Selected criteria have been used as inputs to develop the information transparency level. The Fuzzy Analytic Network Process (ANP) is used to obtain weights of these inputs, and Data Envelopment Analysis (DEA) is used for the determination of the efficiency ranking for transparency. Results demonstrated that Content, Scope and Comprehensiveness dimensions have 75% impact on the transparency of data. Remaining 25 percent is affected by Timeliness, Regularity and User-friendliness.

Purpose Performance assessment of green supply chain management (GSCM) requires a systematic approach because of its interdisciplinary and multi-objective nature. The purpose of this paper is to propose a model to the performance assessment of GSCM. Design/methodology/approach A model is proposed, grounded on a literature review on GSCM performance, after which the causal relationships and prioritization of the sub-criteria are analyzed by fuzzy Decision Making Trial and Evaluation Laboratory technique in a company operating in the cement industry. Findings An integrated holistic performance assessment model incorporating specifically six criteria and 21 sub-criteria is applied, which represents causal relationships and prioritization of sub-criteria. Research limitations/implications The proposed model can be generalized, because an integrative framework can be used in future empirical studies to analyze performance of GSCM. However, the causal relationships and prioritization among sub-criteria are analyzed based on the needs and capabilities of the individual company; therefore, the causal relationships found are company specific. Practical implications The proposed model can be hired and implemented by companies striving for GSCM. This model allows companies to assess their current GSCM performance, analyze causal relationships, and prioritize sub-criteria. Originality/value Several studies have analyzed performance assessment in green supply chains; however, to the best of the authors’ knowledge, no study has taken an approach to performance assessment in GSCM that combines environmental, economics/financial, logistics, operational, organizational and marketing in the same framework. In addition, the cause-effect relationships identified will be the base for performance improvement.