saeed rayatpisha; reza ahmay; Maisam_Abbasi Abbasi
Abstract
Purpose of this research is to study criteria of sustainable supply chains in petrochemical industry. The research approach was both explorative and explanatory by using mixed methodologies for collection and analysis of data. It started with qualitative meta- synthesis of criteria of sustainable supply ...
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Purpose of this research is to study criteria of sustainable supply chains in petrochemical industry. The research approach was both explorative and explanatory by using mixed methodologies for collection and analysis of data. It started with qualitative meta- synthesis of criteria of sustainable supply chains in former publications by using MAXQDA software. Afterwards, the identified criteria were quantitatively analyzed based on Delphi-fuzzy, DEMATEL and analytic network process (ANP) methodologies. Therefore, in this step the questionnaires was completed by 23 experts of Petrochemical industry, who were selected by purposive sampling. In total, fifteen criteria of sustainable supply chains were identified and classified. In the quantitative analysis, the three criteria of "organization & corporate-centric", "environmental management" and "environmental pressures" were rated as the most critical criteria. This study highlights the importance of criteria as well as the strength of interrelationships among criteria of sustainable supply chains in petrochemical industry. The research results can be beneficial for decision makers to prioritize their resources, actions, and strategies in steering supply chains sustainable development.
Tahereh Zaefarian; Mohammad Andabili; Hossein Momeni; Seyed Esmaeil Najafi
Abstract
Today, there are more than 300 types of cars in Iran auto market, which has a significant growth in recent decade. High variety have challenges for decision makers in selecting cars. No mathematical model has been developed yet for segmenting and ranking Iran auto market, which carry out both defining ...
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Today, there are more than 300 types of cars in Iran auto market, which has a significant growth in recent decade. High variety have challenges for decision makers in selecting cars. No mathematical model has been developed yet for segmenting and ranking Iran auto market, which carry out both defining automatic cluster numbers as well as automatic weighting criteria by the model.This research develops a Hybrid DEMATEL-Two-Step Clustering-TOPSIS approach. The model first finds the beat appropriated criterion for segmentation. Then uses a two-step clustering approach for segmenting Iran auto market based on price criterion. Second, the criteria will be weighted automatically using Shannon entropy weighting method and then, TOPSIS method rank competitors in each defined price segment (lower 900 Million Rials). Also, the Spearman's rank correlation test is used to compare the model results with Iranian customer behavior (with selling volume). The price segmentation results reveal that the Iran auto market can be segmented in six different levels. Furthermore, the ranking results disclose that price is not the only effective factor in finding car utility for the buyer. A weighted combination of performance, features and price will determine optimized selection for buyers