Relationships between Selected Quality Tools and Energy Efficiency in Production Processes

被引:1
作者
Daron, Marta [1 ]
Gorska, Monika [2 ]
机构
[1] Czestochowa Tech Univ, Fac Management, PL-42201 Czestochowa, Poland
[2] Czestochowa Tech Univ, Fac Prod Engn & Mat Technol, PL-42201 Czestochowa, Poland
关键词
energy efficiency; energy management system; production processes; RESOURCE EFFICIENCY; MANAGEMENT-SYSTEM; PERFORMANCE INDICATORS; MODEL DEVELOPMENT; DRIVING FORCES; INDUSTRY; BARRIERS; REDUCTION; IMPLEMENTATION; BENCHMARKING;
D O I
10.3390/en16134901
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
European manufacturing companies are currently in a very difficult situation. On the one hand, they have to strive for sustainable development. On the other hand, they have to face problems related to the geopolitical situation and the pursuit of cleaner production (including restrictive regulations on emissions). A significant increase in electricity prices means that companies have to take steps to use electricity rationally without reducing the level of production or incurring other additional costs. In this study, attention was paid to the influence of quality tools (QTs) in production process (PP) management on increasing energy efficiency (EE). Based on the literature review, it was found that the most frequently described QTs, i.e., SMED, TPM, Six Sigma, SPC, FMEA, 5S, or Poka-Yoke, used to improve PP did not take into account their impact on the EE of the enterprises. Therefore, the main purpose of this study was to examine this correlation and show that QTs can be helpful in shaping the energy management system (EMS). Achieving the research goal was possible thanks to surveys carried out among manufacturing companies. Using statistical tests, the existence of a statistically significant correlation was proved between QTs and EMS elements.
引用
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页数:20
相关论文
共 88 条
[21]   Challenges and gaps for energy planning models in the developing-world context [J].
Debnath, Kumar Biswajit ;
Mourshed, Monjur .
NATURE ENERGY, 2018, 3 (03) :172-184
[22]   BARRIERS WITHIN FIRMS TO ENERGY-EFFICIENT INVESTMENTS [J].
DECANIO, SJ .
ENERGY POLICY, 1993, 21 (09) :906-914
[23]   Methodology for energy efficiency on process level [J].
Doerr, Marcus ;
Wahren, Sylvia ;
Bauernhansl, Thomas .
FORTY SIXTH CIRP CONFERENCE ON MANUFACTURING SYSTEMS 2013, 2013, 7 :652-657
[24]  
Dominguez M., 2011, IFAC P, V44, P12213, DOI [10.3182/20110828-6-IT-1002.02092, DOI 10.3182/20110828-6-IT-1002.02092]
[25]   A TPM strategy implementation in an automotive production line through loss reduction [J].
dos Reis, M. D. O. ;
Godina, R. ;
Pimentel, C. ;
Silva, F. J. G. ;
Matias, J. C. O. .
29TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING (FAIM 2019): BEYOND INDUSTRY 4.0: INDUSTRIAL ADVANCES, ENGINEERING EDUCATION AND INTELLIGENT MANUFACTURING, 2019, 38 :908-915
[26]   STRUCTese® - Energy efficiency management for the process industry [J].
Drumm, C. ;
Busch, J. ;
Dietrich, W. ;
Eickmans, J. ;
Jupke, A. .
CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION, 2013, 67 :99-110
[27]  
ec.europa.eu, EL PRIC NONH CONS
[28]   Identification of Machine Learning Relevant Energy and Resource Manufacturing Efficiency Levers [J].
Ekwaro-Osire, Henry ;
Bode, Dennis ;
Thoben, Klaus-Dieter ;
Ohlendorf, Jan-Hendrik .
SUSTAINABILITY, 2022, 14 (23)
[29]  
Energy Regulatory Office, EL EN MARK
[30]  
eurostat.ec.europa, SHAR EN REN SOURC