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Technology for Production Scheduling of Jobs for Open Innovation and Sustainability with Fixed Processing Property on Parallel Machines

Author

Listed:
  • Sang-Oh Shim

    (Department of Business Administration and Accounting, Hanbat National University, 16-1 Deokmyung-Dong, Yuseong-Gu, Daejeon 34158, Korea)

  • KyungBae Park

    (Department of Business Administration, Sangji University, 660 Woosan-Dong, Wonju-Si, Kangwon 26339, Korea)

Abstract
In this paper, a technology for production scheduling is addressed for the sustainability and open innovation in a manufacturing business. Methodologies for scheduling jobs on parallel machines with the fixed processing property are devised. The fixed processing property, in which a group of specific jobs can be processed on the predetermined machine, can be found in most manufacturing systems due to the quality issues. Usually, even though parallel machines can process various types of jobs, the fixed processing is preferred as to not deteriorate products’ quality in real manufacturing systems. To minimize makespan of jobs, which is defined as the final completion time of all jobs, technology for production scheduling is developed. Several heuristic algorithms are devised for solving the problem and to evaluate performance of the suggested algorithms, a series of computational experiments is performed. Results show that better solutions are obtained by the suggested algorithms in a reasonable amount of computation time. That is, if the proposed technology is applied to the production scheduling system of a real manufacturing business, it can be expected that quantity and quality of the product will be enhanced since they are influenced by the production scheduling.

Suggested Citation

  • Sang-Oh Shim & KyungBae Park, 2016. "Technology for Production Scheduling of Jobs for Open Innovation and Sustainability with Fixed Processing Property on Parallel Machines," Sustainability, MDPI, vol. 8(9), pages 1-10, September.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:9:p:904-:d:77663
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    References listed on IDEAS

    as
    1. Hyun Baek & Sun-Kyoung Park, 2015. "Sustainable Development Plan for Korea through Expansion of Green IT: Policy Issues for the Effective Utilization of Big Data," Sustainability, MDPI, vol. 7(2), pages 1-21, January.
    2. Kut C. So, 1990. "Some Heuristics for Scheduling Jobs on Parallel Machines with Setups," Management Science, INFORMS, vol. 36(4), pages 467-475, April.
    3. Yifei Tong & Jingwei Li & Shai Li & Dongbo Li, 2016. "Research on Energy-Saving Production Scheduling Based on a Clustering Algorithm for a Forging Enterprise," Sustainability, MDPI, vol. 8(2), pages 1-17, February.
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    Cited by:

    1. 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.
    2. JinHyo Joseph Yun & Tan Yigitcanlar, 2017. "Open Innovation in Value Chain for Sustainability of Firms," Sustainability, MDPI, vol. 9(5), pages 1-8, May.
    3. Hamza Jouhari & Deming Lei & Mohammed A. A. Al-qaness & Mohamed Abd Elaziz & Ahmed A. Ewees & Osama Farouk, 2019. "Sine-Cosine Algorithm to Enhance Simulated Annealing for Unrelated Parallel Machine Scheduling with Setup Times," Mathematics, MDPI, vol. 7(11), pages 1-18, November.
    4. Rui Zhang, 2017. "Sustainable Scheduling of Cloth Production Processes by Multi-Objective Genetic Algorithm with Tabu-Enhanced Local Search," Sustainability, MDPI, vol. 9(10), pages 1-26, September.
    5. Rujapa Nanthapodej & Cheng-Hsiang Liu & Krisanarach Nitisiri & Sirorat Pattanapairoj, 2021. "Hybrid Differential Evolution Algorithm and Adaptive Large Neighborhood Search to Solve Parallel Machine Scheduling to Minimize Energy Consumption in Consideration of Machine-Load Balance Problems," Sustainability, MDPI, vol. 13(10), pages 1-25, May.
    6. Dongwook Kim & Sungbum Kim, 2017. "Sustainable Supply Chain Based on News Articles and Sustainability Reports: Text Mining with Leximancer and DICTION," Sustainability, MDPI, vol. 9(6), pages 1-44, June.
    7. Caizhi Sun & Ling Liu & Yanting Tang, 2018. "Measuring the Inclusive Growth of China’s Coastal Regions," Sustainability, MDPI, vol. 10(8), pages 1-15, August.
    8. Obradović, Tena & Vlačić, Božidar & Dabić, Marina, 2021. "Open innovation in the manufacturing industry: A review and research agenda," Technovation, Elsevier, vol. 102(C).
    9. Xiaochuan Shi & Lei Wu & Xiaoliang Meng, 2017. "A New Optimization Model for the Sustainable Development: Quadratic Knapsack Problem with Conflict Graphs," Sustainability, MDPI, vol. 9(2), pages 1-10, February.
    10. 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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