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Innovative Production Scheduling with Customer Satisfaction Based Measurement for the Sustainability of Manufacturing Firms

Author

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  • Sang-Oh Shim

    (Department of Business Administration and Accounting, Hanbat National University, 125 Dongseo-daero, Yuseong-gu, Daejeon 34158, Korea)

  • KyungBae Park

    (Department of Business Administration, Sangji University, 83 Sangjidae-gil, Wonju, Gangwon-do 26339, Korea)

  • SungYong Choi

    (Division of Business Administration, Yonsei University, 1 Yonseidae-gil, Wonju, Gangwon-do 26493, Korea)

Abstract

Scheduling problems for the sustainability of manufacturing firms in the era of the fourth industrial revolution is addressed in this research. In terms of open innovation, innovative production scheduling can be defined as scheduling using big data, cyber-physical systems, internet of things, cloud computing, mobile network, and so on. In this environment, one of the most important things is to develop an innovative scheduling algorithm for the sustainability of manufacturing firms. In this research, a flexible flowshop scheduling problem is considered with the properties of sequence-dependent setup and different process plans for jobs. In a flexible flowshop, there are serial workstations with multiple pieces of equipment that are able to process multiple lots simultaneously. Since the scheduling in this workshop is known to be extremely difficult, it is important to devise an efficient and effective scheduling algorithm. In this research, a heuristic algorithm is proposed based on a few dispatching rules and economic lot size model with the objective of minimizing total tardiness of orders. For the purposes of performance evaluation, a simulation study is conducted on randomly generated problem instances. The results imply that our proposed method outperforms the existing ones, and greatly enhances the sustainability of manufacturing firms.

Suggested Citation

  • Sang-Oh Shim & KyungBae Park & SungYong Choi, 2017. "Innovative Production Scheduling with Customer Satisfaction Based Measurement for the Sustainability of Manufacturing Firms," Sustainability, MDPI, vol. 9(12), pages 1-12, December.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:12:p:2249-:d:121764
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    References listed on IDEAS

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    2. Belén Payán-Sánchez & Luis Jesús Belmonte-Ureña & José Antonio Plaza-Úbeda & Diego Vazquez-Brust & Natalia Yakovleva & Miguel Pérez-Valls, 2021. "Open Innovation for Sustainability or Not: Literature Reviews of Global Research Trends," Sustainability, MDPI, vol. 13(3), pages 1-29, January.
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    6. Wenzhu Liao & Tong Wang, 2018. "Promoting Green and Sustainability: A Multi-Objective Optimization Method for the Job-Shop Scheduling Problem," Sustainability, MDPI, vol. 10(11), pages 1-19, November.
    7. Obradović, Tena & Vlačić, Božidar & Dabić, Marina, 2021. "Open innovation in the manufacturing industry: A review and research agenda," Technovation, Elsevier, vol. 102(C).
    8. JinHyo Joseph Yun & Kwangho Jung & Tan Yigitcanlar, 2018. "Open Innovation of James Watt and Steve Jobs: Insights for Sustainability of Economic Growth," Sustainability, MDPI, vol. 10(5), pages 1-16, May.
    9. Andrea Celone & Antonello Cammarano & Mauro Caputo & Francesca Michelino, 2022. "Features of Sustainability-Oriented Innovations: A Content Analysis of Patent Abstracts," Sustainability, MDPI, vol. 14(23), pages 1-16, November.
    10. Sudesh Sheoran & Sanket Vij, 2023. "A Consumer-Centric Paradigm Shift in Business Environment with the Evolution of the Internet of Things: A Literature Review," Vision, , vol. 27(4), pages 431-442, August.
    11. Julian Marius Müller & Daniel Kiel & Kai-Ingo Voigt, 2018. "What Drives the Implementation of Industry 4.0? The Role of Opportunities and Challenges in the Context of Sustainability," Sustainability, MDPI, vol. 10(1), pages 1-24, January.
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