Simulation-based analysis of catalyzers and trade-offs in Lean & Green manufacturing

被引:47
作者
Baumer-Cardoso, Marina I. [1 ]
Campos, Lucila M. S. [1 ,2 ]
Portela Santos, Pedro Pfeifer [2 ]
Frazzon, Enzo Morosini [1 ,2 ]
机构
[1] Univ Fed Santa Catarina, Grad Program Prod Engn, Campus Univ Trindade, BR-88040900 Florianopolis, SC, Brazil
[2] Univ Fed Santa Catarina, Dept Prod Engn & Syst, Campus Univ Trindade, BR-88040900 Florianopolis, SC, Brazil
关键词
Discrete event simulation; Kanban; Lean & Green; Lean manufacturing; Value stream map; MAPPING SUS-VSM; 6; SIGMA; SUPPLY CHAINS; SUSTAINABILITY; PERFORMANCE; STRATEGIES; SYSTEM; METHODOLOGY; INTEGRATION; OPERATIONS;
D O I
10.1016/j.jclepro.2019.118411
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Manufacturing companies have been forced to rethink their management and operations strategies due to the growing demand for greener products and services. To support these initiatives, the Lean and Green (L&G) approach has gained increasing attention from academic and industry. However, according to the literature in the field not all Lean practice has a positive environmental impact. In addition, there is a lack of empirical research on L&G to understand the catalyzers and trade-offs between both paradigms. Therefore, this study attempts to fill this gap by assessing the applicability of Lean Manufacturing (LM) tools and investigate how Lean impacts Green performance in a real-world company case. This research paper assesses the integration of Lean & Green in the job shop of a Brazilian company and is supported by a discrete-event simulation (DES) model. Green analysis regarding water, energy and raw material consumption are performed for every single operation. Environmental and production variables are simultaneously evaluated, and the environmental impacts resulting from the implementation of the Lean practices and tools, such as Kanban, are also discussed. While the outcomes of the research reveal a positive correlation between Lean & Green on performance indicators, they also substantiate a trade-off on water consumption. The empirical study along with the simulation-based analysis demonstrate that generalizations such as "Lean is Green" must be carefully revisited and also emphasize the importance of Lean & Green relationship in the improvement of manufacturing processes. (C) 2019 Elsevier Ltd. All rights reserved.
引用
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页数:12
相关论文
共 43 条
[1]   Model of efficient and sustainable improvements in a lean production system through processes of environmental innovation [J].
Aguado, Sergio ;
Alvarez, Roberto ;
Domingo, Rosario .
JOURNAL OF CLEANER PRODUCTION, 2013, 47 :141-148
[2]  
Baumer-Cardoso M.I., 2018, J LEAN SYST, V3, P110
[3]   Quantitative models for sustainable supply chain management: Developments and directions [J].
Brandenburg, Marcus ;
Govindan, Kannan ;
Sarkis, Joseph ;
Seuring, Stefan .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2014, 233 (02) :299-312
[4]   Sustainable value stream mapping (Sus-VSM) in different manufacturing system configurations: application case studies [J].
Brown, Adam ;
Amundson, Joseph ;
Badurdeen, Fazleena .
JOURNAL OF CLEANER PRODUCTION, 2014, 85 :164-179
[5]  
Campos L.M.S., 2016, SUPPLY CHAIN MANAG I, V21, P228, DOI [10.1108/SCM-08-2015-0331, DOI 10.1108/SCM-08-2015-0331]
[6]   Modelling green and lean supply chains: An eco-efficiency perspective [J].
Carvalho, Helena ;
Govindan, Kannan ;
Azevedo, Susana G. ;
Cruz-Machado, Virgilio .
RESOURCES CONSERVATION AND RECYCLING, 2017, 120 :75-87
[7]   Lean, agile, resilient and green: divergencies and synergies [J].
Carvalho, Helena ;
Duarte, Susana ;
Cruz Machado, V. .
INTERNATIONAL JOURNAL OF LEAN SIX SIGMA, 2011, 2 (02) :151-179
[8]   Incorporate LEAN and Green Concepts to Enhance the Productivity of Transshipment Terminal Operations [J].
Chandrakumar, Chanjief ;
Gowrynathan, Jeyanthinathasarma ;
Kulatunga, Asela K. ;
Sanjeevan, Nadarasa .
13TH GLOBAL CONFERENCE ON SUSTAINABLE MANUFACTURING - DECOUPLING GROWTH FROM RESOURCE USE, 2016, 40 :301-306
[9]   Barriers in Green Lean implementation: a combined systematic literature review and interpretive structural modelling approach [J].
Cherrafi, Anass ;
Elfezazi, Said ;
Garza-Reyes, Jose Arturo ;
Benhida, Khalid ;
Mokhlis, Ahmed .
PRODUCTION PLANNING & CONTROL, 2017, 28 (10) :829-842
[10]   The integration of lean manufacturing, Six Sigma and sustainability: A literature review and future research directions for developing a specific model [J].
Cherrafi, Anass ;
Elfezazi, Said ;
Chiarini, Andrea ;
Mokhlis, Ahmed ;
Benhida, Khalid .
JOURNAL OF CLEANER PRODUCTION, 2016, 139 :828-846