Making Unit Cost in Production Process More Accurate – the Role of Queueing

  • Authors

    • Viktor Molnar
    • Abel Tumik
    2018-04-20
    https://doi.org/10.14419/ijet.v7i2.23.11899
  • Activity-based costing, Lean management, Six sigma, Queueing
  • Queueing is a general phenomenon in the life of almost every organization. Not only people but also processes connecting to manufacturing, machine maintenance, food delivery etc. can be modeled by queueing theory. Queueing always contains waiting waste and the latest management approaches endeavor to eliminate all wastes from the system. This paper introduces and demonstrates a solution based on Activity-Based Costing that aids in the more accurate identification of wastes and therefore in more accurate costing. An experiment was conducted in which queueing of products in a warehouse was analyzed. The queueing as waiting time was built in the ABC costing model. The paper highlights that the model supports thorough business-as-usual decision-making.

     

     

  • References

    1. [1] Boxma OJ & Perry D, “A Queueing Model with Dependence between Service and Interarrival Timesâ€, European Journal of Operational Research, No.128, (2001), pp.611-624.

      [2] Cima RR, Brown MJ, Hebl JR, Moore R, Rogers JC ,Kollengode A, Amstutz GJ, Weisbrod CA, Narr BJ & Deschamps C, “Use of Lean and Six Sigma Methodology to Improve Operating Room Efficiency in a High-Volume Tertiary-Care Academic Medical Centerâ€, Journal of American College of Surgeons, No.213, (2011), pp.83-94.

      [3] Chang K-H & Lu Y-S, “Queueing Analysis on a Single-Station Make-to-Stock/Make-to-Order Inventory-Production Systemâ€, Applied Mathematical Modelling, No.34, (2010), pp.978-991.

      [4] Creemers S & Lambrecht M, “An Advanced Queueing Model to Analyze Appointment-Driven Service Systemsâ€, Computers & Operations Research, No.36, (2009), pp.2773-2785.

      [5] Dickson EW, Singh S, Cheung DS, Wyatt CC & Nugent AS, “Application of Lean Manufacturing Techniques in the Emergency Departmentâ€, The Journal of Emergency Medicine, Vol.37, No.2, (2009), pp.177-182.

      [6] Gray WJ & Scott M, “A Queueing Model with Bonus Service for Certain Customersâ€, Applied Mathematical Modelling, Vol 10, (1986), pp.241-245.

      [7] Gray WJ, Wang PP & Scott M, “A Vacation Queueing Model with Service Breakdownsâ€, Applied Mathematical Modelling, No.24, (2000), pp.391-400.

      [8] Jain M, Maheshwari S & Baghel KPS, “Queueing Network Modelling of Flexible Manufacturing System Using Mean Value Analysisâ€, Applied Mathematical Modelling, No.32, (2008), pp.700-711.

      [9] Kerbache L & Smith JM, “Queueing Networks and the Topological Design of Supply Chain Systemsâ€, International Journal of Production Economics, No.91, (2004), pp.251-272.

      [10] Kochel P, “On Queueing Models for some Multi-Location Problemsâ€, International Journal of Production Economics, No.45, (1996), pp.429-433.

      [11] Konyha J & Banyai T, Sensor networks for smart manufacturing processesâ€, Solid State Phenomena, No.261, (2017), pp.456-462.

      [12] Meran R, John A, Roenpage O, Staudter C, Six Sigma + Lean Toolset, Springer, (2013), pp.193-194.

      [13] Lynes K & Miltenburg J, “The Application of an Open Queueing Network to the Analysis of Cycle Time, Variability, Throughput, Inventory and Cost in the Batch Production System of a Microelectronics Manufacturerâ€, International Journal of Production Economics, No.37, (1994), pp.189-203.

      [14] Manitz M, “Queueing-Model Based Analysis of Assembly Lines with Finite Buffers and General Service Timesâ€, Computers & Operations Research, No.35, (2008), pp.2520-2536.

      [15] Molnar V & Kerchner A, “A lean menedzsment alkalmazási lehetÅ‘ségei a közszférában (Application potentials of lean management in the public sector)â€. Proceeding of the Conference “Műszaki Tudomány az Észak-Kelet Magyarországi Régióban 2016â€, (2016), pp.425-432.

      [16] Molnar V & Tumik A, “Várakozási veszteségbÅ‘l adódó költségek Lean Six Sigma megközelítésben: egy ABC-alapú döntési modell (Waiting Loss Costs of Non-Production Processes in Lean Six Sigma Approach: an ABC-Based Decision Support Model)â€, Controller Info, Vol.5, No.1, (2017), pp.35-40.

      [17] Musinszki Z, “Innovations and cost systems trends and ways in the cost accountingâ€, Organizational and economic mechanisms of development of the financial system: Collective monograph, ISMA University, (2016), pp.209-219.

      [18] Nuyens RPA, Van Dijk NM, Van Wassenhove LN & Yiicesan E, “An Experimental Analysis of Steady State Convergence in Simple Queueing Systems: Implications for Flexible Manufacturing System Modelsâ€, Simulation Practice and Theory, No.4, (1996), pp.l-29.

      [19] Pienkowski M, “Waste Measurement Techniques for Lean Companiesâ€, International Journal of Lean Thinking, Vol.5, No.1, (2014), pp.9-24.

      [20] Schipper MA, Chankov SM & Bendul J, “Synchronization Emergence and its Effect on Performance in Queueing Systemsâ€, Procedia CIRP, No.52, (2016), pp.90-95.

      [21] Tamas P, “Application of a Simulation Investigational Method for Efficiency Improvement of SMED Methodâ€, Academic Journal of Manufacturing Engineering, Vol.15, No.2, (2017), pp.23-30.

      [22] Zhou W, Huang W & Zhang R, “A Two-Stage Queueing Network on Form Postponement Supply Chain with Correlated Demandsâ€, Applied Mathematical Modelling, No.38, (2014), pp.2734-2743.

      [23] Zhuang L, Wong YS, Fuh JYH & Yee CY, “On the Role of a Queueing Network Model in the Design of a Complex Assembly Systemâ€, Robotics and Computer-Integrated Manufacturing, No.14, (1998), pp.153-161.

  • Downloads

  • How to Cite

    Molnar, V., & Tumik, A. (2018). Making Unit Cost in Production Process More Accurate – the Role of Queueing. International Journal of Engineering & Technology, 7(2.23), 129-132. https://doi.org/10.14419/ijet.v7i2.23.11899