دانلود رایگان مقاله انگلیسی ارزیابی تامین کنندگان زنجیره تامین پایدار با مدلسازی ساختاری فازی- MICMAC - امرالد 2018

عنوان فارسی
ارزیابی تامین کنندگان زنجیره تامین پایدار با استفاده از رویکرد مدلسازی ساختاری تفسیری و تحلیل فازی- MICMAC
عنوان انگلیسی
Assessing sustainable supply chain enablers using total interpretive structural modeling approach and fuzzy-MICMAC analysis
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
43
سال انتشار
2018
نشریه
امرالد - Emerald
فرمت مقاله انگلیسی
PDF
کد محصول
E6794
رشته های مرتبط با این مقاله
مهندسی صنایع
گرایش های مرتبط با این مقاله
لجستیک و زنجیره تامین، بهینه سازی سیستم ها
مجله
مدیریت کیفیت محیطی: مجله بین المللی - Management of Environmental Quality: An International Journal
دانشگاه
Department of Management Studies - Indian Institute of Technology Delhi - New Delhi - India
کلمات کلیدی
لجستیک متحد، پايدار، توانمندسازي، مدل سازي ساختاری تفسیری کل (TISM)، تحليل فازي-MICMAC
چکیده

Abstract


Purpose - The aim of this research is to model the enablers of an integrated logistics. The integration is accounted for incorporating sustainability, thereby aiming in its theory building. Existing models have focused on enablers of sustainable supply chain independently which lacks a holistic view in understanding the integrated logistics for sustainable supply chain. Design/methodology/approach - An extensive literature review, expert opinion from both industry and academia based on questionnaire survey was conducted to find the relevant enablers. The modeling of these enablers were done using Total Interpretive Structural Modelling (TISM). Finally TISM along with its respective Fuzzy-Matriced Impact Croises Multiplication Applique (Fuzzy- MICMAC) analysis is depicted. Findings – The result of the survey and TISM model with its respective Fuzzy-MICMAC has been used to evolve the mutual relationships among the important enablers of integrated logistics of consumer durables. The strategic factors obtained from TISM are integration and collaboration in the supply chain, vehicle type, and capacity, reduction in average length of haul and real-time information system. Route selection and scheduling, reduction of fuel consumption, customer relationship management, green technology, cost reduction etc. are some of the operational factors. Sustainable environment performance is obtained as the performance factor. Fuzzy-MICMAC is more responsive than the traditional MICMAC analysis. Research limitations/ implications –The study has limitation for the development of a conceptual framework for integrated logistics in uncertain environments. So it can be extended by combining soft computing methodologies. There is a lack of mathematical quantification of the proposed model where the enablers of sustainability can be measured.

نتیجه گیری

6. Conclusion and Future Directions


This research is focused on the identification of various enablers for an integrated logistics of sustainable supply chain and development of a hierarchical framework based on TISM. The traditional MICMAC is converted to fuzzy-MICMAC by qualitative consideration on a 0-1 scale. A modification is done to the existing algorithm of TISM. The diagraph is divided into equal halves and the enablers falling into those halves are assigned the fuzzy values taken from the opinion of various experts. The Fuzzy Direct Relationship Matrix (FDRM) is considered and the value for each enabler in the FDRM is assigned using step 11.5 and step 11.6 from the stepwise algorithm processes developed in sub-section 3.1 mentioned under Section 3. The obtained Fuzzy- MICMAC for the cluster of variables is different from the general MICMAC as more number of enablers is found as independent variables which make the model more efficient.


Further, the proposed TISM model basically aims at the development of enablers in a hierarchical manner which concludes that the integration and collaboration in the supply chain (E2), metrics for warehouse management system (E4), vehicle type and capacity (E10), reduction in the average length of haul (E11) and real-time information system (E13) play a vital role in reducing noxious emissions in an integrated logistics for sustaining supply chain. The developed TISM helps in knowing the direct and transitive relationships between variously identified enablers required for an integrated logistics and these initiatives would positively influence the overall environmental performance.


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