Energy Consumption Evaluation in Stamping Workshops via a Discrete Event Simulation-Based Approach

다국어 초록 (Multilingual Abstract)

Stamping is employed in a wide range of applications in industry, which is composed of discrete flow energy-intensive processes. Durations of stamping activities are much shorter than that of mold changing and transportation, which makes energy consumption in stamping workshops greatly affected by the production scheme and the proportion of transportation volume. Different from machining that has been widely discussed, there is less research on energy saving in stamping workshops. This paper aims to evaluate the energy consumption of stamping on the workshop level. A theoretical model and a discrete event simulation model were developed based on energy flow and material flow in the workshop. The theoretical model was used to calculate each component of energy consumption based on production-related data. The simulation model was used to predict the overall energy required in the workshop when subjected to changes in its production conditions. Impacts of influence factors, including machine failure rate, proportion of transportation volume, and production scheme on energy consumption, makespan, and machine utilization rates, were studied to find opportunities for energy reduction and production efficiency improvement. Finally, a case study of a stamping workshop for forklifts validated the proposed approach, and optimization measures were suggested, implemented, and verified. Results have found that under the same production scheme (suppose each press has the same failure rate), the balance between energy use and makespan was achieved when the proportion of transportation volume was 1/2. This simulation-based approach provides a useful tool for evaluating and reducing energy consumption and helps operators to perform energy-saving actions in stamping workshops.

참고문헌 (Reference)

• 1 Lei Li, "Variations of Energy Demand With Process Parameters in Cylindrical Drawing of Stainless Steel" ASME International 141 (141): 2019
• 2 Joost R. Duflou, "Towards energy and resource efficient manufacturing: A processes and systems approach" Elsevier BV 61 (61): 587-609, 2012
• 3 Daniel R. Cooper, "The energy requirements and environmental impacts of sheet metal forming: An analysis of five forming processes" Elsevier BV 244 : 116-135, 2017
• 4 Victoria Jayne Mawson, "The development of modelling tools to improve energy efficiency in manufacturing processes and systems" Elsevier BV 51 : 95-105, 2019
• 5 Iván La Fé Perdomo ; Ramón Quiza ; Dries Haeseldonckx ; Marcelino Rivas, "Sustainability-Focused Multi-Objective Optimization of a Turning process" 한국정밀공학회 7 (7): 1009-1018, 2020
• 6 Sojung Kim, "Simulation-based machine shop operations scheduling system for energy cost reduction" Elsevier BV 77 : 68-83, 2017
• 7 Kelton, W. D., "Simulation with ARENA" McGraw-Hill Press 2004
• 8 Yingying Seow, "Simulation of energy consumption in the manufacture of a product" Informa UK Limited 26 (26): 663-680, 2013
• 9 Christoph Herrmann, "Process chain simulation to foster energy efficiency in manufacturing" Elsevier BV 1 (1): 221-229, 2009
• 10 J. Y. Li, "Physical Model Based on Data-Driven Analysis of Chemical Composition Effects of Friction Stir Welding" Springer Science and Business Media LLC 29 (29): 6591-6604, 2020
• 11 Keyan He, "Pareto fronts of machining parameters for trade-offamong energy consumption, cutting force and processing time" Elsevier BV 185 : 113-127, 2017
• 12 Hongcheng Li, "Modelling and simulation of energy consumption of ceramic production chains with mixed flows using hybrid Petri nets" Informa UK Limited 56 (56): 3007-3024, 2017
• 13 Hongcheng Li, "Modelling and simulation of energy consumption of ceramic production chains with mixed flows using hybrid Petri nets" Informa UK Limited 56 (56): 3007-3024, 2017
• 14 Amlendu Bajpai, "Modeling, analysis, and improvement of integrated productivity and energy consumption in a serial manufacturing system" Elsevier BV 199 : 296-304, 2018
• 15 Lei Li, "Modeling and Analysis of the Process Energy for Cylindrical Drawing" ASME International 141 (141): 2018
• 16 Grand View Research, Inc, "Metal stamping market size, share & trends analysis report by process (blanking, embossing), by application (automotive, industrial machinery, consumer electronics), by region, and segment forecasts, 2020–2027"
• 17 J.S. Carson, "Introduction to modeling and simulation" IEEE 1 : 9-16, 2004
• 18 Cassandras, C. G., "Introduction to discrete event systems" Springer Science & Business Media 2009
• 19 Ning Liu ; Y. F. Zhang ; Wen Feng Lu, "Improving Energy Efficiency in Discrete Parts Manufacturing System using an Ultra-Flexible Job Shop Scheduling Algorithm" 한국정밀공학회 6 (6): 349-365, 2019
• 20 Qiong Liu, "Flexible Job-Shop Scheduling for Reduced Manufacturing Carbon Footprint" ASME International 140 (140): 2018
• 21 C. Herrmann, "Energy oriented simulation of manufacturing systems – Concept and application" Elsevier BV 60 (60): 45-48, 2011
• 22 Shun Jia, "Energy modeling and visualization analysis method of drilling processes in the manufacturing industry" Elsevier BV 228 : 120567-, 2021
• 23 Seung-Jun Shin, "Energy efficiency of milling machining: Component modeling and online optimization of cutting parameters" Elsevier BV 161 : 12-29, 2017
• 24 Ping Jiang, "Energy consumption model and energy efficiency evaluation for CNC continuous generating grinding machine tools" Informa UK Limited 10 (10): 226-232, 2017
• 25 Mengdi Gao, "Emergy-based method for evaluating and reducing the environmental impact of stamping systems" Elsevier BV 311 : 127850-, 2021
• 26 Wei Liu, "Dynamic characteristics and energy consumption modelling of machine tools based on bond graph theory" Elsevier BV 212 : 118767-, 2020
• 27 James Tannock, "Data-driven simulation of the supply-chain—Insights from the aerospace sector" Elsevier BV 110 (110): 70-84, 2007
• 28 Chao Meng, "Data-driven modeling and simulation framework for material handling systems in coal mines" Elsevier BV 64 (64): 766-779, 2013
• 29 Friedrich Bleicher, "Co-simulation environment for optimizing energy efficiency in production systems" Elsevier BV 63 (63): 441-444, 2014
• 30 Gao, M., "Carbon emission analysis and reduction for stamping process chain" 91 (91): 667-678, 2017
• 31 Lei Li, "Analysis of a novel energy-efficient system with double-actuator for hydraulic press" Elsevier BV 47 : 77-87, 2017
• 32 Lei Li, "An energy-saving method to solve the mismatch between installed and demanded power in hydraulic press" Elsevier BV 139 : 636-645, 2016
• 33 Lei Li, "An Energy-Saving Method by Balancing the Load of Operations for Hydraulic Press" Institute of Electrical and Electronics Engineers (IEEE) 22 (22): 2673-2683, 2017
• 34 Devoldere, T., "Advances in life cycle engineering for sustainable manufacturing businesses" Springer 311-316, 2007
• 35 Chen, Z., "A simulation model for carbon resource planning of production systems" 1024-1032, 2015
• 36 Y. Seow, "A framework for modelling energy consumption within manufacturing systems" Elsevier BV 4 (4): 258-264, 2011
• 37 Muhtar Ural Uluer, "A framework for energy reduction in manufacturing process chains (E-MPC) and a case study from the Turkish household appliance industry" Elsevier BV 112 : 3342-3360, 2016