An integrated model for the exploration and evaluation of the obstacles of sustainable logistics in the manufacturing sector

被引:1
作者
Zeidyahyaee, Niousha [1 ]
Shokouhyar, Sajjad [1 ]
Motameni, Alireza [1 ]
Yazdani-Chamzini, Abdolreza [2 ]
Saparauskas, Jonas [3 ]
Turskis, Zenonas [4 ]
机构
[1] Shahid Beheshti Univ, Fac Management & Accounting, Dept Ind & Informat Management, Tehran, Iran
[2] Islamic Azad Univ, South Tehran Branch, Young Researchers & Elite Club, Tehran, Iran
[3] Vilnius Gediminas Tech Univ, Fac Civil Engn, Dept Construct Management & Real Estate, Vilnius, Lithuania
[4] Vilnius Gediminas Tech Univ, Inst Sustainable Construct, Fac Civil Engn, Vilnius, Lithuania
关键词
Manufacturing; SSCM; fuzzy Delphi; fuzzy DEMATEL; ISM; fuzzy MICMAC; FUZZY DELPHI METHOD; BARRIERS; IMPLEMENTATION; ENVIRONMENT; SAFETY;
D O I
10.7441/joc.2024.02.09
中图分类号
F [经济];
学科分类号
02 ;
摘要
Sustainable supply chain management (SSCM) is a tactical concern for managers seeking a long-term result. Different managers are attempting to apply SSCM in order to get a competitive advantage. One of the critical processes is the identification of strategy implementation hurdles, which has been a research focus. As a result, this paper identifies these obstacles and analyzes their interrelationships. A list of obstacles was initially established by a survey of the literature and expert judgment in the form of the fuzzy Delphi approach. Next, an investigation was designed to collect expert opinions on the interrelationships between these obstacles. The fuzzy DEMATEL (FDEMATEL) approach was employed for examining the causal linkages and interdependencies of these obstacles. Subsequently, the interpretative structural modeling (ISM) technique was utilized to create a classified structure and to identify the driving and dependent connections. A fuzzy MICMAC analysis was applied for categorizing the obstacles based on driving and dependent power. The results reveal that barriers, "cost of implementation sustainability (B1)", "lack of financial resources (B2)", "institutional complexity (B3)", "complexity in measuring and monitoring sustainability practices (B4)", "lack of effective regulations (B5)", "lack of a proper evaluation system for suppliers (B6)", "lack of sustainability knowledge (B7)", and "strategic and structural restraints (B8)", are the influence-forwarding obstacles. These obstacles influence "inadequate government support (B9)", "high investments for sustainability and less return-on- investments (B10)", "old equipment and machinery (B11)", and "lack of management commitment (B12)", which are the greatest influences on SSCM practices. Identifying the important obstacles and their interdependences can help policymakers in the manufacturing sector minimize or overcome them, boosting the possibilities of effectively incorporating sustainable principles into these projects.
引用
收藏
页码:154 / 181
页数:28
相关论文
共 67 条
[1]   Modelling the abstract knots in supply chains using interpretive structural modelling (ISM) approaches: a review-based comprehensive toolkit [J].
Abbas, Haidar ;
Mehdi, Mohd ;
Azad, Imran ;
Frederico, Guilherme F. .
BENCHMARKING-AN INTERNATIONAL JOURNAL, 2022, 29 (10) :3251-3274
[2]   Revolutionizing sustainable supply chain management: A review of metaheuristics [J].
Abualigah, Laith ;
Hanandeh, Essam Said ;
Abu Zitar, Raed ;
Thanh, Cuong-Le ;
Khatir, Samir ;
Gandomi, Amir H. .
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2023, 126
[3]   Modeling Deming's quality principles to improve performance using interpretive structural modeling and MICMAC analysis [J].
Agrawal, Nishant Mukesh .
INTERNATIONAL JOURNAL OF QUALITY & RELIABILITY MANAGEMENT, 2019, 36 (07) :1159-1180
[4]  
Alzubi E., 2022, CLEAN PROD LETT, V2, P100005, DOI [10.1016/J.CLPL.2022.100005, DOI 10.1016/J.CLPL.2022.100005, 10.1016/j.clpl.2022.100005]
[5]   Toward equation structural modeling: an integration of interpretive structural modeling and structural equation modeling [J].
Amini, Alireza ;
Alimohammadlou, Moslem .
JOURNAL OF MANAGEMENT ANALYTICS, 2021, 8 (04) :693-714
[6]   A new fuzzy BWM approach for evaluating and selecting a sustainable supplier in supply chain management [J].
Amiri, M. ;
Hashemi-Tabatabaei, M. ;
Ghahremanloo, M. ;
Keshavarz-Ghorabaee, M. ;
Zavadskas, E. K. ;
Banaitis, A. .
INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY, 2021, 28 (02) :125-142
[7]   The influence of sustainable supply chain management, technology orientation, and organizational culture on the delivery product quality-customer satisfaction nexus [J].
Asha, Asma Ansary ;
Dulal, Marzia ;
Habib, Ahashan .
CLEANER LOGISTICS AND SUPPLY CHAIN, 2023, 7
[8]   Selecting the ideal sustainable green strategy for logistics companies using a T-spherical fuzzy-based methodology [J].
Aytekin, Ahmet ;
Korucuk, Selcuk ;
Bedirhanoglu, Sule Bayazit ;
Simic, Vladimir .
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 127
[9]   Design and implementation of a fuzzy expert system for performance assessment of an integrated health, safety, environment (HSE) and ergonomics system: The case of a gas refinery [J].
Azadeh, A. ;
Fam, I. M. ;
Khoshnoud, M. ;
Nikafrouz, M. .
INFORMATION SCIENCES, 2008, 178 (22) :4280-4300
[10]   Green supplier selection using fuzzy Delphi method for developing sustainable supply chain [J].
Ben Mabrouk, Nejah .
DECISION SCIENCE LETTERS, 2021, 10 (01) :63-70