EVALUATION OF LOGISTIC FLOWS IN GREEN SUPPLY CHAINS BASED ON THE COMBINED DEMATEL-ANP METHOD

Nikita Osintsev, Aleksandr Rakhmangulov, Vera Baginova

DOI Number
10.22190/FUME210505061O
First page
473
Last page
498

Abstract


Supply chains and transport corridors have a significant impact on the socio-economic and environmental situation in the regions where the elements of the logistics infrastructure are located. The achievement of the goals of the concept of sustainable development in these regions is ensured, among other things, as a result of the formation of green supply chain management (GSCM), that is, as a result of changes in existing approaches to supply chain management. Analysis of the practice of supply chain management showed a wide variety of parameters and indicators of logistics flows used in decision-making at different stages of managing these flows. The authors propose a universal system of the logistic flows parameters and indicators for the GSCM, corresponding to the principles of the concept of sustainable development. A methodology for ranking indicators of logistics flows based on a combined DEMATEL-ANP method has been developed. The results of a case study on the evaluation of logistics flows for the GSCM are presented. The ranks of logistics flow indicators obtained in the study are proposed to be used in GSCM to adjust of the logistics flows actual parameters to achieve the goals of the concept of sustainable development.

Keywords

Green Supply Chains, Logistic Flows, MCDM, DEMATEL, ANP, Sustainable Development, GSCM

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References


https://www.wto.org/english/res_e/statis_e/wts2020_e/wts2020_e.pdf (last access: 15.07.2021).

https://www.alliedmarketresearch.com/logistics-market (last access: 15.07.2021).

Millar, M., 2015, Global Supply Chain Ecosystems: Strategies for Competitive Advantage in a Complex World, Kogan Page, London, Philadelphia, 274 p.

Blanchard, D., 2010, Supply Chain Management: Best Practices, Wiley; Chichester: John Wiley, Hoboken, N.J., 280 p.

Brewer, A.M., Button, K.J., Hensher, D.A., 2001, Handbook of Logistics and Supply-Chain Management, Handbooks in transport No. 2, Pergamon, Amsterdam, London, 534 p.

Osintsev, N., Rakhmangulov, A., Sładkowski, A., Dyorina, N., 2020, Logistic flow control system in green supply chains, Lecture Notes in Networks and Systems No. 124, pp. 311-380.

Osintsev, N., 2019, Flows indicators in green supply chains, Modern Problems of Russian Transport Complex, 1(9), pp. 27–40.

Rakhmangulov, A.N., Kornilov, S.N., Aleksandrin, D.V., Shevkunov, N.O., 2020, Multi-criteria model for the development of industrial logistics, IOP Conf. Ser.: Mater. Sci. Eng., 966, 12103.

Stojčić, M., Zavadskas, E., Pamučar, D., Stević, Ž., Mardani, A., 2019, Application of MCDM Methods in Sustainability Engineering: A Literature Review 2008–2018, Symmetry, 3(11), 350.

Doukas, H., Nikas, A., 2020, Decision support models in climate policy, European Journal of Operational Research, 1(280), pp. 1–24.

Wątróbski, J., 2016, Outline of multicriteria decision-making in green logistics, Transportation Research Procedia, 16, pp. 537–552.

Oliveira, U.R. de, Espindola, L.S., da Silva, I.R., da Silva, I.N., Rocha, H.M., 2018, A systematic literature review on green supply chain management: research implications and future perspectives, Journal of Cleaner Production, 187, pp. 537–561.

Zhang, L.-J., Liu, R., Liu, H.-C., Shi, H., 2020, Green supplier evaluation and selections: a state-of-the-art literature review of models, methods, and applications, Mathematical Problems in Engineering, 4(2020), pp. 1–25.

Rezaei, J., 2015, A systematic review of multi-criteria decision-making applications in reverse logistics, Transportation Research Procedia, 10, pp. 766–776.

Petrović, G., Mihajlović, J., Ćojbašić, Ž., Madić, M., Marinković, D., 2019, Comparison of three fuzzy MCDM methods for solving the supplier selection problem, Facta Universitatis-Series Mechanical Engineering, 3(17), pp. 455-469.

Brandenburg, M., Gruchmann, T., Oelze, N., 2019, Sustainable supply chain management – A conceptual framework and future research perspectives, Sustainability, 24(11), 7239.

Nerush, I.M., 2006, Logistics, TK Velbi, Izd-vo Prospekt, Moscow, 520 p.

Mirotin, L.B., Gudkov, V.A., Zyrianov, V.V., 2010, Cargo management in transport and logistics systems, Goriachaia liniia-Telekom, Moscow, p. 704.

Kornilov, S.N., Rakhmangulov, A.N., Shaulskii, B.F., 2016, Logistics basics, FGBOU “Uchebno-metodicheskii tsentr po obrazovaniiu na zheleznodorozhnom transporte”, Moscow, 302 p.

Tiapukhin, A.P., 2013, Encoding and graphical interpretation of logistic flow parameters, Journal of Contemporary Economics, 4(2013), pp. 131–144.

Kozlov, P.A., 2014, Flow and hopper – channel in the transport system, World of Transport and Transportation Journal, 2(12), pp. 30–37.

Filonov, N.G., Kovalenko, L.V., Dashchinskaia, S.K., 2007, To the question about the analysis of the service flow in logistics systems, Tomsk State University Journal, 9(72), pp. 76–77.

Zhang, C., Chen, W.-Q., Liu, G., Zhu, D.-J., 2017, Economic growth and the evolution of material cycles: an analytical framework integrating material flow and stock indicators, Ecological Economics, 140, pp. 265–274.

Galiautdinov, R.R., 2016, The mechanisms of interaction of flows and stocks in the enterprise in terms of logistics, Bulletin of South Ural State University, Series “Economics and Management”, 1(10), pp. 157–163.

Minakov, V.F., 2014, Production function in logistics flows, International Research Journal, 3(11), pp. 55–58.

Turki, S., Didukh, S., Sauvey, C., Rezg, N., 2017, Optimization and analysis of a manufacturing – remanufacturing transport – warehousing system within a closed-loop supply chain, Sustainability, 9, 561.

Hou, H., Chaudhry, S., Chen, Y., Hu, M., 2017, Physical distribution, logistics, supply chain management, and the material flow theory: a historical perspective, Information Technology and Management, 2(18), pp. 107–117.

Xu, S., 2008, The concept and theory of material flow, Information Systems Frontiers, 5(10), pp. 601–609.

Chakir, I., El Khaili, M., Mestari, M., 2020, Logistics flow optimization for advanced management of the crisis situation, Procedia Computer Science, 175, pp. 419-426.

Bröcker, J., Korzhenevych, A., Riekhof, M.-C., 2011, Predicting freight flows in a globalising world, Research in Transportation Economics, 1(31), pp. 37–44.

Gerini, C., Sciomachen, A., 2018, Evaluation of the flow of goods at a warehouse logistic department by Petri Nets, Flexible Services and Manufacturing Journal, 31, pp. 354-380.

Liu, C.-S., Lin, L.-Y., Chen, M.-C., Horng, H.-C., 2017, A new performance indicator of material flow for production systems, Procedia Manufacturing, 11, pp. 1774–1781.

Martinico-Perez, M.F.G., Schandl, H., Tanikawa, H., 2018, Sustainability indicators from resource flow trends in the Philippines, Resources, Conservation and Recycling, 138, pp. 74–86.

Jong, G., Tanner, R., Rich, J., Thorhauge, M., Nielsen, O.A., Bates, J., 2017, Modelling production-consumption flows of goods in Europe: the trade model within Transtools3, Journal of Shipping and Trade, 2, 5.

Porkar, S., Mahdavi, I., Maleki Vishkaei B., Hematian M., 2020, Green supply chain flow analysis with multi-attribute demand in a multi-period product development environment, Operational Research, 20, pp. 1405-1435.

Filonov, N.G., 2012, Analysis of the structure of total costs in the formation of the flow of innovation in logistics (economic) systems, Tomsk State Pedagogical University Bulletin, 12, pp. 133–140.

Minakov, V.F., Minakova, T.E., 2014, Flow metric in information logistics, International Research Journal, 1(4), pp. 63–64.

Kolinski, A., Dujak, D., Golinska-Dawson, P., 2020, Integration of information flow for greening supply chain management, Springer International Publishing, Cham., 415 p.

Hoejmose, S., Brammer, S., Millington, A., 2012, “Green” supply chain management: The role of trust and top management in B2B and B2C markets, Industrial Marketing Management, 4(41), pp. 609–620.

Klumpp, M., 2016, To green or not to green: a political, economic and social analysis for the past failure of green logistics, Sustainability, 5(8), 441.

Mani, V., Gunasekaran, A., 2018, Four forces of supply chain social sustainability adoption in emerging economies, International Journal of Production Economics, 199, pp. 150–161.

Waltho, C., Elhedhli, S., Gzara, F., 2019, Green supply chain network design: A review focused on policy adoption and emission quantification, International Journal of Production Economics, 208, pp. 305–318.

Quintana-García, C., Benavides-Chicón, C.G., Marchante-Lara, M., 2021, Does a green supply chain improve corporate reputation? Empirical evidence from European manufacturing sectors, Industrial Marketing Management, 3(92), pp. 344–353.

Fahimnia, B., Sarkis, J., Davarzani, H., 2015, Green supply chain management: A review and bibliometric analysis, International Journal of Production Economics, 162, pp. 101–114.

Ahi, P., Searcy, C., 2013, A comparative literature analysis of definitions for green and sustainable supply chain management, Journal of Cleaner Production, 52, pp. 329–341.

Alkahtani, M., Ahmad, S., Noman, M.A., Kaid, H., Badwelan, A., 2020, Bibliometric research indicators for green supply chain modelling, International Journal of Industrial and Systems Engineering, 3(35), pp. 314-344.

Balon, V., 2019, Green supply chain management: Pressures, practices, and performance - An integrative literature review, Business Strategy and Development, 3(2), pp.226–244.

Cañas, H., Mula, J., Campuzano-Bolarín, F., 2020, A general outline of a sustainable supply chain 4.0, Sustainability, 12, 7978.

Drohomeretski, E., Gouvea da Costa, S., Pinheiro de Lima, E., 2014, Green supply chain management: drivers, barriers and practices within the Brazilian automotive industry, Journal of Manufacturing Technology Management, 8(25), pp. 1105–1134.

Hasan, M.M., Nekmahmud, M., Yajuan, L., Patwary, M.A., 2019, Green business value chain: a systematic review, Sustainable Production and Consumption, 20, pp. 326-339.

Koberg, E., Longoni, A., 2019, A systematic review of sustainable supply chain management in global supply chains, Journal of Cleaner Production, 207, pp. 1084–1098.

Lazar, S., Klimecka-Tatar, D., Obrecht. M., 2021, Sustainability orientation and focus in logistics and supply chains, Sustainability, 13, 3280.

Malviya, R.K., Kant, R., 2016, Hybrid decision making approach to predict and measure the success possibility of green supply chain management implementation, Journal of Cleaner Production, 135, pp. 387–409.

Marzouk, M., Sabbah, M., 2021, AHP-TOPSIS social sustainability approach for selecting supplier in construction supply chain, Cleaner Environmental Systems, 1(2), 100034.

Rostamzadeh, R., Govindan, K., Esmaeili, A., Sabaghi, M., 2015, Application of fuzzy VIKOR for evaluation of green supply chain management practices, Ecological Indicators, 49, pp. 188–203.

Zhu, Q., Shah, P., Sarkis, J., 2018, Addition by subtraction: integrating product deletion with lean and sustainable supply chain management, International Journal of Production Economics, 205, pp. 201–214.

Đalić I., Stević Ž., Karamasa C., Puška A., 2020, A novel integrated fuzzy PIPRECIA – interval rough SAW model: green supplier selection, Decision Making: Applications in Management and Engineering, 1(3), pp. 126-145.

Gupta, S., Soni, U., Kumar, G., 2019, Green supplier selection using multi-criterion decision making under fuzzy environment: A case study in automotive industry, Computers & Industrial Engineering, 136, pp. 663–680.

Keshavarz Ghorabaee, M., Zavadskas, E.K., Amiri, M., Esmaeili, A., 2016, Multi-criteria evaluation of green suppliers using an extended WASPAS method with interval type-2 fuzzy sets, Journal of Cleaner Production, 137, pp. 213–229.

Kumar, S., Luthra, S., Haleem, A., 2013, Customer involvement in greening the supply chain: an interpretive structural modeling methodology, Journal of Industrial Engineering International, 9, 6.

Liu, P., Gao, H., Fujita, H., 2021, The new extension of the MULTIMOORA method for sustainable supplier selection with intuitionistic linguistic rough numbers, Applied Soft Computing, 2(99), 106893.

Lo, S.M., Zhang, S., Wang, Z., Zhao, X., 2018, The impact of relationship quality and supplier development on green supply chain integration: A mediation and moderation analysis, Journal of Cleaner Production, 202, pp. 524–535.

Pourjavad, E., Shahin, A., 2020, Green supplier development programmes selection: a hybrid fuzzy multi-criteria decision-making approach, International Journal of Sustainable Engineering, 13(6), pp. 463–472.

Stević, Ž., Durmić, E., Gajić, M., Pamučar, D., Puška, A., 2019, A novel multi-criteria decision-making model: interval rough SAW method for sustainable supplier selection, Information, 10, 292.

Thakker, S.V., Rane, S.B., 2018, Implementation of green supplier development process model in Indian automobile industry, Management of Environmental Quality: An International Journal, 5(29), pp. 938–960.

Govindan, K., Diabat, A., Madan Shankar, K., 2015, Analyzing the drivers of green manufacturing with fuzzy approach, Journal of Cleaner Production, 96, pp. 182–193.

Malek, J., Desai, T.N., 2020, A systematic literature review to map literature focus of sustainable manufacturing, Journal of Cleaner Production, 256, 120345.

Seth, D., Rehman, Minhaj Ahemad A., Shrivastava, Rakesh L., 2018, Green manufacturing drivers and their relationships for small and medium (SME) and large industries, Journal of Cleaner Production, 198, pp. 1381–1405.

Mahmood, W.H.W., Rahman, M.N.A., Deros, B., Jusoff, K., Saptari, A., Ebrahim, Z., Sultan, A., Bakar, M.H.A., Sivarao, S., Jano, Z., 2013, Manufacturing performance in green supply chain management, World Applied Sciences Journal, 21, pp. 76-84.

Jasmi, M.F.A., Fernando, Y., 2018, Drivers of maritime green supply chain management, Sustainable Cities and Society, 43, pp. 366–383.

Lin, N., 2019, CO2 emissions mitigation potential of buyer consolidation and rail-based intermodal transport in the China-Europe container supply chains, Journal of Cleaner Production, 240, 118121.

Mavi, R.K., Goh, M., Zarbakhshnia, N., 2017, Sustainable third-party reverse logistic provider selection with fuzzy SWARA and fuzzy MOORA in plastic industry, The International Journal of Advanced Manufacturing Technology, 91, pp. 2401–2418.

Petrović, G.S., Madić, M., Antucheviciene, J., 2018, An approach for robust decision making rule generation: Solving transport and logistics decision making problems, Expert Systems with Applications, 106, pp. 263–276.

Qu, Q., Tang, M., Liu, Q., Song, W., Zhang, F., Wang, W., 2017, Empirical research on the core factors of green logistics development, Academy of Strategic Management Journal, 2(16), 109.

Zaman, K., Shamsuddin, S., 2017, Green logistics and national scale economic indicators: evidence from a panel of selected European countries, Journal of Cleaner Production, 143, pp. 51–63.

Rakhmangulov, A., Sladkowski, A., Osintsev, N., Muravev, D., 2017, Green logistics: element of the sustainable development concept. part 1, Naše more, 3(64), pp. 120–126.

Couto, J., Tiago, T., Gil, A., Tiago, F., Faria, S., 2016, It’s hard to be green: Reverse green value chain, Environmental research, 149, pp. 302–313.

Mishra, A.R., Rani, P., Krishankumar, R., Zavadskas, E.K., Cavallaro, F., Ravichandran, K.S., 2021, A hesitant fuzzy combined compromise solution framework-based on discrimination measure for ranking sustainable third-party reverse logistic providers, Sustainability, 13, 2064.

Waqas, M., Dong, Q., Ahmad, N., Zhu, Y., Nadeem, M., 2018, Critical barriers to implementation of reverse logistics in the manufacturing industry: A case study of a developing country, Sustainability, 10, 4202.

Si, S.-L., You, X.-Y., Liu, H.-C., Zhang, P., 2018, DEMATEL technique: a systematic review of the state-of-the-art literature on methodologies and applications, Mathematical Problems in Engineering, 2018, 3696457.

Chen, Y., Jin, Q., Fang, H., Lei, H., Hu, J., Wu, Y., Chen, J., Wang, C., Wan, Y., 2019, Analytic network process: Academic insights and perspectives analysis, Journal of Cleaner Production, 235, pp. 1276–1294.

Kheybari, S., Rezaie, F.M., Farazmand, H., 2020, Analytic network process: An overview of applications, Applied Mathematics and Computation, 367, 124780.

Saaty, T.L., Vargas, L.G., 2006, Decision making with the Analytic Network Process: Economic, Political, Social and Technological Applications with Benefits, Opportunities, Costs and Risks, International Series in Operations Research & Management Science No. 95, Springer, New York, N.Y., 278 p.

Gölcük, İ., Baykasoğlu, A., 2016, An analysis of DEMATEL approaches for criteria interaction handling within ANP, Expert Systems with Applications, 46, pp. 346–366.

Gandhi, S., Mangla, S.K., Kumar, P., Kumar, D., 2015, Evaluating factors in implementation of successful green supply chain management using DEMATEL: A case study, International Strategic Management Review, 1-2(3), pp. 96–109.

Cheng, S.-H., Ou, S.M., Lin, S.-M., 2018, Using decision-making trial and evaluation laboratory (DEMATEL) to explore the key success factors for green logistics manufacturers, African Journal of Business Management, 3(12), pp. 58–65.

Wu, K.-J., Tseng, M.-L., Vy, T., 2011, Evaluation the drivers of green supply chain management practices in uncertainty, Procedia – Social and Behavioral Sciences, 25, pp. 384–397.

Yang, H., 2019, Competitiveness identification of supply chain management enterprises based on DEMATEL-ANP method, Open Journal of Business and Management, 7, pp. 93–105.

Falatoonitoosi, E., Ahmed, S., Sorooshian, S., 2014, A multicriteria framework to evaluate supplier’s greenness, Abstract and Applied Analysis, 2014, 396923.

Mavi, R.K., Kazemi, S., Najafabadi, A.F., Moussbadi, H.B., 2013, Identification and assessment of logistical factors to evaluate a green supplier using the fuzzy logic DEMATEL method, Polish Journal of Environmental Studies, 2(22), pp. 445–455.

Wu, H.-H., Chang, S.-Y., 2015, A case study of using DEMATEL method to identify critical factors in green supply chain management, Applied Mathematics and Computation, 256, pp. 394–403.

Hsu, C.-W., Kuo, T.-C., Chen, S.-H., Hu, A.H., 2013, Using DEMATEL to develop a carbon management model of supplier selection in green supply chain management, Journal of Cleaner Production, 56, pp. 164–172.

Amiri, M., Sadaghiyani, J.S., Payani, N., Shafieezadeh, M., 2011, Developing a DEMATEL method to prioritize distribution centers in supply chain, Management Science Letters, 1, pp. 279–288.

Torbacki, W., Kijewska, K., 2019, Identifying Key Performance Indicators to be used in Logistics 4.0 and Industry 4.0 for the needs of sustainable municipal logistics by means of the DEMATEL method, Transportation Research Procedia, 39, pp. 534–543.

Hwang, B.-N., Huang, C.-Y., Wu, C.-H., 2016, A TOE approach to establish a green supply chain adoption decision model in the semiconductor industry, Sustainability, 8, 168.

Guo, W.-F., Zhou, J., Yu, C.-L., Tsai, S.-B., Xue, Y.-Z., Chen, Q., Guo, J.-J., Huang, P.-Y., Wu, C.-H., 2015, Evaluating the green corporate social responsibility of manufacturing corporations from a green industry law perspective, International Journal of Production Research, 2(53), pp. 665–674.

Lin, R.-J., 2013, Using fuzzy DEMATEL to evaluate the green supply chain management practices, Journal of Cleaner Production, 40, pp. 32–39.

Lu, T.-P., Rau, P.-L.P., Liou, T.-Z., Yang, Y.-H., 2014, A fuzzy decision making trial and evaluation laboratory analysis of SCM system implementation, Applied Mathematics & Information Sciences, 3(8), pp. 1331–1341.

Chou, Y.-C., Yang, C.-H., Lu, C.-H., Dang, V.-T., Yang, P.-A., 2017, Building criteria for evaluating green project management: An integrated approach of DEMATEL and ANP, Sustainability, 9, 740.

Büyüközkan, G., Güleryüz, S., 2016, An integrated DEMATEL-ANP approach for renewable energy resources selection in Turkey, International Journal of Production Economics, 182, pp. 435–448.

Dehdasht, G., Mohamad, Z.R., Ferwati, M.S., Abdullahi, M.M., Keyvanfar, A., McCaffer, R., 2017, DEMATEL-ANP risk assessment in oil and gas construction projects, Sustainability, 9, 1420.

Lan, S., Zhong, R.Y., 2016, An evaluation model for financial reporting supply chain using DEMATEL-ANP, Procedia CIRP, 56, pp. 516–519.

Rolita, L., Surarso, B., Gernowo, R., 2018, The Decision Making Trial and Evaluation Laboratory (DEMATEL) and Analytic Network Process (ANP) for safety management system evaluation performance, E3S Web of Conferences, 31, 12006.

Wu, W.-W., 2008, Choosing knowledge management strategies by using a combined ANP and DEMATEL approach, Expert Systems with Applications, 3(35), pp. 828–835.

Liou, J.J., Tamošaitienė, J., Zavadskas, E.K., Tzeng, G.-H., 2016, New hybrid COPRAS-G MADM Model for improving and selecting suppliers in green supply chain management, International Journal of Production Research, 1(54), pp. 114–134.

Tsai, W.-H., Chou, W.-C., 2009, Selecting management systems for sustainable development in SMEs: A novel hybrid model based on DEMATEL, ANP, and ZOGP, Expert Systems with Applications, 2(36), pp. 1444–1458.

Rakhmangulov, A., Sladkowski, A., Osintsev, N., Muravev, D., 2018, Green logistics: a system of methods and instruments - part 2, Naše more, 1(65), pp. 49–55.

Rakhmangulov, A., Sładkowski, A., Osintsev, N., Mishkurov, P., Muravev, D., 2017, Dynamic optimization of railcar traffic volumes at railway nodes, Studies in Systems, Decision and Control No. 87, 51, pp. 405-456.




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