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Economic Analysis of an Integrated Production–Inventory System under Stochastic Production Capacity and Energy Consumption

Author

Listed:
  • Iqra Asghar

    (Department of Industrial and Management Engineering, Hanyang University, Ansan Gyeonggi-do 15588, Korea
    These authors contributed equally to this work.)

  • Biswajit Sarkar

    (Department of Industrial and Management Engineering, Hanyang University, Ansan Gyeonggi-do 15588, Korea
    These authors contributed equally to this work.)

  • Sung-jun Kim

    (Department of Industrial and Management Engineering, Hanyang University, Ansan Gyeonggi-do 15588, Korea)

Abstract

Expensive power cost is a significant concern in today’s manufacturing world. Reduction in energy consumption is an ultimate measure towards achieving manufacturing efficiency and emissions control. In the existing literature of scheduling problems, the consumption of energy is considered uncertain under the dimensions of uncertain demand and supply. In reality, it is a random parameter that also depends on production capacity, manufacturing technology, and operational condition of the manufacturing system. As the unit production cost varies with production rate and reliability of the manufacturing system, the energy consumption of the system also varies accordingly. Therefore, this study investigated an unreliable manufacturing system under stochastic production capacities and energy consumption. A stochastic production–inventory policy is developed to optimize production quantity, production rate, and manufacturing reliability under variable energy consumption costs. As energy consumption varies in different operational states of manufacturing, we consider three specific states of power consumption, namely working, idle, and repair time, for an integrated production–maintenance model. The considered production system is subjected to stochastic failure and repair time, where productivity and manufacturing reliability is improved through additional technology investment. The robustness of the model is shown through numerical example, comparative study, and sensitivity analysis of model parameters. Several graphical illustrations are also provided to obtain meaningful managerial insights.

Suggested Citation

  • Iqra Asghar & Biswajit Sarkar & Sung-jun Kim, 2019. "Economic Analysis of an Integrated Production–Inventory System under Stochastic Production Capacity and Energy Consumption," Energies, MDPI, vol. 12(16), pages 1-27, August.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:16:p:3179-:d:258951
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    References listed on IDEAS

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    1. Mitali Sarkar & Biswajit Sarkar & Muhammad Waqas Iqbal, 2018. "Effect of Energy and Failure Rate in a Multi-Item Smart Production System," Energies, MDPI, vol. 11(11), pages 1-21, October.
    2. Ozgul Calicioglu & Alessandro Flammini & Stefania Bracco & Lorenzo Bellù & Ralph Sims, 2019. "The Future Challenges of Food and Agriculture: An Integrated Analysis of Trends and Solutions," Sustainability, MDPI, vol. 11(1), pages 1-21, January.
    3. Glock, C. H., 2010. "Batch sizing with controllable production rates," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 57823, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    4. Bazan, Ehab & Jaber, Mohamad Y. & Zanoni, Simone, 2017. "Carbon emissions and energy effects on a two-level manufacturer-retailer closed-loop supply chain model with remanufacturing subject to different coordination mechanisms," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 394-408.
    5. Biswajit Sarkar & Shib Sankar Sana & Kripasindhu Chaudhuri, 2010. "Optimal reliability, production lot size and safety stock in an imperfect production system," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 2(4), pages 467-490.
    6. Liu, Ying & Dong, Haibo & Lohse, Niels & Petrovic, Sanja, 2016. "A multi-objective genetic algorithm for optimisation of energy consumption and shop floor production performance," International Journal of Production Economics, Elsevier, vol. 179(C), pages 259-272.
    7. Marchi, B. & Zanoni, S. & Zavanella, L.E. & Jaber, M.Y., 2019. "Supply chain models with greenhouse gases emissions, energy usage, imperfect process under different coordination decisions," International Journal of Production Economics, Elsevier, vol. 211(C), pages 145-153.
    8. Sarkar, Biswajit & Guchhait, Rekha & Sarkar, Mitali & Cárdenas-Barrón, Leopoldo Eduardo, 2019. "How does an industry manage the optimum cash flow within a smart production system with the carbon footprint and carbon emission under logistics framework?," International Journal of Production Economics, Elsevier, vol. 213(C), pages 243-257.
    9. Dellino, Gabriella & Kleijnen, Jack P.C. & Meloni, Carlo, 2010. "Robust optimization in simulation: Taguchi and Response Surface Methodology," International Journal of Production Economics, Elsevier, vol. 125(1), pages 52-59, May.
    10. Seokgi Lee & Vittaldas V. Prabhu, 2015. "Energy-aware feedback control for production scheduling and capacity control," International Journal of Production Research, Taylor & Francis Journals, vol. 53(23), pages 7158-7170, December.
    11. Eva González-Romera & Mercedes Ruiz-Cortés & María-Isabel Milanés-Montero & Fermín Barrero-González & Enrique Romero-Cadaval & Rui Amaral Lopes & João Martins, 2019. "Advantages of Minimizing Energy Exchange Instead of Energy Cost in Prosumer Microgrids," Energies, MDPI, vol. 12(4), pages 1-18, February.
    12. Dionysios Pramangioulis & Konstantinos Atsonios & Nikos Nikolopoulos & Dimitrios Rakopoulos & Panagiotis Grammelis & Emmanuel Kakaras, 2019. "A Methodology for Determination and Definition of Key Performance Indicators for Smart Grids Development in Island Energy Systems," Energies, MDPI, vol. 12(2), pages 1-22, January.
    13. Biel, K. & Glock, C. H., 2016. "Systematic literature review of decision support models for energy-efficient production planning," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 83071, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    14. Rapine, Christophe & Penz, Bernard & Gicquel, Céline & Akbalik, Ayse, 2018. "Capacity acquisition for the single-item lot sizing problem under energy constraints," Omega, Elsevier, vol. 81(C), pages 112-122.
    15. Glock, C. H., 2011. "Batch sizing with controllable production rates in a multi-stage production system," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 57822, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
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