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Recent developments in Dual Resource Constrained (DRC) system research

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  • Xu, J.
  • Xu, X.
  • Xie, S.Q.

Abstract

Real world manufacturing systems are usually constrained by both machine and human resources. Human operators are often the constraining resource and transfer between workstations to process jobs when required. This kind of system is known as a Dual Resource Constrained (DRC) system and presents additional technical challenges which must be considered during planning and scheduling. These technical challenges can be categorised into the five main dimensions of job release mechanisms, job dispatching, worker flexibility, worker assignment and transfer costs. This paper aims to provide an overview of recent developments in DRC research concerned with each of these areas and also discusses some possible approaches to solving the resource scheduling problem in a DRC system. The focus is on materials published after 1995 and up to 2009. Previous reviews on DRC systems are commented on and followed by a review of recent works associated with each of the five dimensions of DRC system research. Advancements made and new methodologies proposed are discussed and future research directions are identified.

Suggested Citation

  • Xu, J. & Xu, X. & Xie, S.Q., 2011. "Recent developments in Dual Resource Constrained (DRC) system research," European Journal of Operational Research, Elsevier, vol. 215(2), pages 309-318, December.
    • Handle: RePEc:eee:ejores:v:215:y:2011:i:2:p:309-318
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    References listed on IDEAS

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    1. Jaber, Mohamad Y. & Kher, Hemant V. & Davis, Darwin J., 2003. "Countering forgetting through training and deployment," International Journal of Production Economics, Elsevier, vol. 85(1), pages 33-46, July.
    2. H V Kher, 2000. "Examination of flexibility acquisition policies in dual resource constrained job shops with simultaneous worker learning and forgetting effects," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(5), pages 592-601, May.
    3. Jensen, John B., 2000. "The impact of resource flexibility and staffing decisions on cellular and departmental shop performance," European Journal of Operational Research, Elsevier, vol. 127(2), pages 279-296, December.
    4. John S. Fryer, 1973. "Operating Policies in Multiechelon Dual-Constraint Job Shops," Management Science, INFORMS, vol. 19(9), pages 1001-1012, May.
    5. Zamiska, John R. & Jaber, Mohamad Y. & Kher, Hemant V., 2007. "Worker deployment in dual resource constrained systems with a task-type factor," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1507-1519, March.
    6. Rosser T. Nelson, 1967. "Labor and Machine Limited Production Systems," Management Science, INFORMS, vol. 13(9), pages 648-671, May.
    7. Rosser T. Nelson, 1970. "A Simulation of Labor Efficiency and Centralized Assignment in a Production Model," Management Science, INFORMS, vol. 17(2), pages 97-106, October.
    8. John S. Frye, 1974. "Labor Flexibility in Multiechelon Dual-Constraint Job Shops," Management Science, INFORMS, vol. 20(7), pages 1073-1080, March.
    9. Kher, Hemant V. & Malhotra, Manoj K. & Philipoom, Patrick R. & Fry, Timothy D., 1999. "Modeling simultaneous worker learning and forgetting in dual resource constrained systems," European Journal of Operational Research, Elsevier, vol. 115(1), pages 158-172, May.
    10. Park, Paul Sungchil, 1991. "The examination of worker cross-training in a dual resource constrained job shop," European Journal of Operational Research, Elsevier, vol. 52(3), pages 291-299, June.
    11. Kher, HV & Malhotra, MK, 1994. "Acquiring and operationalizing worker flexibility in dual resource constrained job shops with worker transfer delays and learning losses," Omega, Elsevier, vol. 22(5), pages 521-533, September.
    12. Richard E. Gunther, 1979. "Server Transfer Delays in a Dual Resource Constrained Parallel Queueing System," Management Science, INFORMS, vol. 25(12), pages 1245-1257, December.
    13. Jaber, M. Y. & Kher, H. V., 2002. "The dual-phase learning-forgetting model," International Journal of Production Economics, Elsevier, vol. 76(3), pages 229-242, April.
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    Cited by:

    1. Dominik Kress & David Müller & Jenny Nossack, 2019. "A worker constrained flexible job shop scheduling problem with sequence-dependent setup times," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(1), pages 179-217, March.
    2. Jing Zhang & Wanliang Wang & Xinli Xu, 2017. "A hybrid discrete particle swarm optimization for dual-resource constrained job shop scheduling with resource flexibility," Journal of Intelligent Manufacturing, Springer, vol. 28(8), pages 1961-1972, December.
    3. Ilkyeong Moon & Sanghyup Lee & Moonsoo Shin & Kwangyeol Ryu, 2016. "Evolutionary resource assignment for workload-based production scheduling," Journal of Intelligent Manufacturing, Springer, vol. 27(2), pages 375-388, April.
    4. Federica Costa & Alberto Portioli-Staudacher, 2021. "Labor flexibility integration in workload control in Industry 4.0 era," Operations Management Research, Springer, vol. 14(3), pages 420-433, December.
    5. Federica Costa & Matthias Thürer & Alberto Portioli-Staudacher, 2023. "Heterogeneous worker multi-functionality and efficiency in dual resource constrained manufacturing lines: an assessment by simulation," Operations Management Research, Springer, vol. 16(3), pages 1476-1489, September.
    6. Lei, Deming & Guo, Xiuping, 2015. "An effective neighborhood search for scheduling in dual-resource constrained interval job shop with environmental objective," International Journal of Production Economics, Elsevier, vol. 159(C), pages 296-303.
    7. Geurtsen, M. & Didden, Jeroen B.H.C. & Adan, J. & Atan, Z. & Adan, I., 2023. "Production, maintenance and resource scheduling: A review," European Journal of Operational Research, Elsevier, vol. 305(2), pages 501-529.
    8. Vahid Roshanaei & Curtiss Luong & Dionne M. Aleman & David R. Urbach, 2017. "Collaborative Operating Room Planning and Scheduling," INFORMS Journal on Computing, INFORMS, vol. 29(3), pages 558-580, August.
    9. Jose L. Andrade-Pineda & David Canca & Pedro L. Gonzalez-R & M. Calle, 2020. "Scheduling a dual-resource flexible job shop with makespan and due date-related criteria," Annals of Operations Research, Springer, vol. 291(1), pages 5-35, August.
    10. Olivella, Jordi & Nembhard, David, 2016. "Calibrating cross-training to meet demand mix variation and employee absence," European Journal of Operational Research, Elsevier, vol. 248(2), pages 462-472.
    11. Sleptchenko, Andrei & Al Hanbali, Ahmad & Zijm, Henk, 2018. "Joint planning of service engineers and spare parts," European Journal of Operational Research, Elsevier, vol. 271(1), pages 97-108.
    12. Berti, Nicola & Finco, Serena & Battaïa, Olga & Delorme, Xavier, 2021. "Ageing workforce effects in Dual-Resource Constrained job-shop scheduling," International Journal of Production Economics, Elsevier, vol. 237(C).
    13. Alejandro Vital-Soto & Mohammed Fazle Baki & Ahmed Azab, 2023. "A multi-objective mathematical model and evolutionary algorithm for the dual-resource flexible job-shop scheduling problem with sequencing flexibility," Flexible Services and Manufacturing Journal, Springer, vol. 35(3), pages 626-668, September.

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