Abstract
Rising and increasingly volatile energy prices resulting from increased power feeds from renewable sources such as solar and wind energy are confronting manufacturers with new challenges. If these companies procure their power supplies at fluctuating short-term prices from electricity exchanges or through energy purchasing pools, they can influence the resulting energy costs through production control via its actuating variables while energy consumption remains constant. A form of sequencing that decides at short notice which order will be processed next shows particularly high potential. The energy price-oriented sequencing rule that is introduced in this article prioritises orders with a high energy requirement at times when energy prices are low and gives precedence to orders that require less energy at times when energy prices are high, without neglecting the scheduled completion deadline. However, this sequencing rule can only be applied effectively under certain preconditions. These are elaborated in this article by means of a simulation study that will confirm the way the rule functions.
Similar content being viewed by others
References
Department of Energy and Climate Change of the United Kingdom (2015) Industrial electricity prices in the IEA. BEIS, London. https://www.gov.uk/government/statistical-data-sets/international-industrial-energy-prices
BDEW - Bundesverband Energie- und Wasserwirtschaft (2017) BDEW-Strompreisanalyse Mai 2017. Haushalte und Industrie, Berlin
Bukowski M (2014) Electricity and industrial competitiveness. Forum for Energy Analysis, Warsaw
Weckmanna S, Kuhlmann T, Sauer A (2017) Decentral energy control in a flexible production to balance energy supply and demand. Proc CIRP 61:428–433
Rinck M, Richter J (2015) Die Energiewende handelbar Machen. Magazin für Energiewirtschaft 10(9):34–35
Kallakuri C, Vaidyanathan S, Kelly M, Cluett R (2016) The 2016 International Energy Efficiency Scorecard. American Council for an Energy-Efficient Economy, Washington
Fattahi Meyabadi A, Deihimi MH (2016) A review of demand-side management: reconsidering theoretical framework. Renew Sustain Energy Rev 80:367–379
Kals J, Jonas T, Vandewall R (2010) Betriebliches Energiemanagement: Eine Einführung. Kohlhammer, Stuttgart
Schumacher I, Würfel P (2015) Strategien zur Strombeschaffung in Unternehmen: Energieeinkauf optimieren, Kosten senken. Gabler, Wiesbaden
Federico T (2012) Volatilität – Der Preis der Energiewende gefährdet die Versorgungssicherheit. Energiewirtschaftliche Tagesfragen 62(1/2):39–43
European Energy Exchange (2017) At the heart of energy and commodity trading—markets and products. European Energy Exchange AG, Leipzig. https://www.eex.com/blob/63998/e18188dc9db9943679977aa4a78d943e/neu-e-eex-broschuere-2017-web-data.pdf
Lödding H (2013) Handbook of manufacturing control: fundamentals, description, configuration. Springer, Berlin
Wiendahl H-P (2014) Betriebsorganisation für Ingenieure, 1, revised edition. Hanser, Carl, München
Abdoli S, Semere DT (2014) Investigation on machine tools energy consumptions. Int J Mech Aerosp Ind Mechatron Manuf Eng 8(6):1136–1143
Yoon H-S, Lee J-Y, Kim H-S, Kim M-S, Kim E-S, Shin Y-J, Chu W-S, Ahn S-H (2014) A comparison of energy consumption in bulk forming, subtractive, and additive processes: review and case study. Int J Precis Eng Manuf Green Technol 1(3):261–279
Kellens K, Rodrigues GC, Dewulf W, Duflou JR (2014) Energy and resource efficiency of laser cutting processes: 8th international conference on photonic technologies LANE 2014. Phys Proc 56:854–864
Bruzzone A (2012) Energy-aware scheduling for improving manufacturing process sustainability: a mathematical model for flexible flow shops. CIRP Ann Manuf Technol 61:459–462
Choi Y-C, Xirouchakis P (2014) A production planning in highly automated manufacturing system considering multiple process plans with different energy requirements. Int J Adv Manuf Technol 70:853–867
Böning C, Prinzhorn H, Hund E, Stonis M (2017) A memetic algorithm for an energy-costs-aware flexible jop-shop scheduling problem. Int J Soc Behav Educ Econ Bus Ind Eng 11(5):1223–1236
Artigues C (2013) The energy scheduling problem: industrial case study and constraint propagation techniques. Int J Prod Econ 143(1):13–23
Keller F, Schönborn C, Reinhart G (2015) Energy-orientated machine scheduling for hybrid flow shops. Proc CIRP 29:156–161
Gong X, Pessemier T de, Joseph W, Martens L (2015) An energy-cost-aware scheduling methodology for sustainable manufacturing. Proc CIRP 29:185–190
Schweers D, Ullmann G, Nyhuis P (2016) Nutzen von Lagerbestand als Energiespeicher. ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb 111(7–8):431–424
Schultz C, Braun S, Braunreuther S, Reinhart G (2017) Integration of load management into an energy-oriented production control. Proc Manuf 8:144–151
Neugebauer R, Putz M, Schlegel A, Langer T, Franz E, Lorenz S (2012) Energy-sensitive production control in mixed model manufacturing processes. CIRP Int Conf Life Cycle Eng 19:309–404
Fernandez M, Li L, Sun Z (2013) “Just-for-peak” buffer inventory for peak electricity demand reduction of manufacturing systems. Int J Prod Econ 146:178–184
Schmidt M, Bertsch S, Nyhuis P (2014) Schedule compliance operating curves and their application in designing the supply chain of a metal producer. Prod Plan Control 25(2):123–133
Willeke S, Stonis M, Nyhuis P (2017) Potentialanalyse einer energiepreisorientierten Reihenfolgebildung. Wt Werkstattechnik Online 107(9):617–624
Acknowledgements
The IGF project 17900N “Integration of energy costs in manufacturing control algorithms” of the research association BVL is funded via the German Federation of Industrial Research Associations (AiF) in the program of Industrial Collective Research (IGF) by the Federal Ministry for Economic Affairs and Energy (BMWi) based on a decision of the German Parliament.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Willeke, S., Prinzhorn, H., Stonis, M. et al. Preconditions for applying an energy price-oriented sequencing rule. Prod. Eng. Res. Devel. 12, 73–81 (2018). https://doi.org/10.1007/s11740-017-0782-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11740-017-0782-z