IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v129y2011i2p233-241.html
   My bibliography  Save this article

Production flow analysis--Cases from manufacturing and service industry

Author

Listed:
  • Hameri, Ari-Pekka

Abstract

Production flow analysis (PFA) is a well-established methodology used for transforming traditional functional layout into product-oriented layout. The method uses part routings to find natural clusters of workstations forming production cells able to complete parts and components swiftly with simplified material flow. Once implemented, the scheduling system is based on period batch control aiming to establish fixed planning, production and delivery cycles for the whole production unit. PFA is traditionally applied to job-shops with functional layouts, and after reorganization within groups lead times reduce, quality improves and motivation among personnel improves. Several papers have documented this, yet no research has studied its application to service operations management. This paper aims to show that PFA can well be applied not only to job-shop and assembly operations, but also to back-office and service processes with real cases. The cases clearly show that PFA reduces non-value adding operations, introduces flow by evening out bottlenecks and diminishes process variability, all of which contribute to efficient operations management.

Suggested Citation

  • Hameri, Ari-Pekka, 2011. "Production flow analysis--Cases from manufacturing and service industry," International Journal of Production Economics, Elsevier, vol. 129(2), pages 233-241, February.
    • Handle: RePEc:eee:proeco:v:129:y:2011:i:2:p:233-241
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925-5273(10)00408-1
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sarkis, Joseph, 1997. "An empirical analysis of productivity and complexity for flexible manufacturing systems," International Journal of Production Economics, Elsevier, vol. 48(1), pages 39-48, January.
    2. Yang, Miin-Shen & Hung, Wen-Liang & Cheng, Fu-Chou, 2006. "Mixed-variable fuzzy clustering approach to part family and machine cell formation for GT applications," International Journal of Production Economics, Elsevier, vol. 103(1), pages 185-198, September.
    3. Defersha, Fantahun M. & Chen, Mingyuan, 2006. "A comprehensive mathematical model for the design of cellular manufacturing systems," International Journal of Production Economics, Elsevier, vol. 103(2), pages 767-783, October.
    4. Sunder Kekre & Kannan Srinivasan, 1990. "Broader Product Line: A Necessity to Achieve Success?," Management Science, INFORMS, vol. 36(10), pages 1216-1232, October.
    5. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 1997. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 43(4), pages 546-558, April.
    6. Jaikumar, Ramchandran, 2005. "From Filing and Fitting to Flexible Manufacturing: A Study in the Evolution of Process Control," Foundations and Trends(R) in Technology, Information and Operations Management, now publishers, vol. 1(1), pages 1-120, October.
    7. Geary, S. & Disney, S.M. & Towill, D.R., 2006. "On bullwhip in supply chains--historical review, present practice and expected future impact," International Journal of Production Economics, Elsevier, vol. 101(1), pages 2-18, May.
    8. Burbidge, John L., 1996. "The first step in planning group technology," International Journal of Production Economics, Elsevier, vol. 43(2-3), pages 261-266, June.
    9. Nahm, Abraham Y. & Vonderembse, Mark A. & Subba Rao, S. & Ragu-Nathan, T.S., 2006. "Time-based manufacturing improves business performance--results from a survey," International Journal of Production Economics, Elsevier, vol. 101(2), pages 213-229, June.
    10. Angra, Surjit & Sehgal, Rakesh & Samsudeen Noori, Z., 2008. "Cellular manufacturing--A time-based analysis to the layout problem," International Journal of Production Economics, Elsevier, vol. 112(1), pages 427-438, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. F. Tao & Y. Cheng & L. Zhang & A. Y. C. Nee, 2017. "Advanced manufacturing systems: socialization characteristics and trends," Journal of Intelligent Manufacturing, Springer, vol. 28(5), pages 1079-1094, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. A. Attila İşlier, 2015. "Cellular Manufacturing Systems: Organization, Trends and Innovative Methods," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 3(2), pages 13-26, December.
    2. Carole Camisullis & Vincent Giard & Gisele Mendy-Bilek, 2011. "Information to share in supply chains dedicated to the mass production of customized products for decentralized management," Working Papers hal-00876865, HAL.
    3. de Lima, Daruichi Pereira & Fioriolli, José Carlos & Padula, Antonio Domingos & Pumi, Guilherme, 2018. "The impact of Chinese imports of soybean on port infrastructure in Brazil: A study based on the concept of the “Bullwhip Effect”," Journal of Commodity Markets, Elsevier, vol. 9(C), pages 55-76.
    4. Dominguez, Roberto & Cannella, Salvatore & Framinan, Jose M., 2015. "On returns and network configuration in supply chain dynamics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 73(C), pages 152-167.
    5. repec:ine:journl:v:28:y:2009:i:37:p:54-71 is not listed on IDEAS
    6. Tang, Christopher S., 2010. "A review of marketing-operations interface models: From co-existence to coordination and collaboration," International Journal of Production Economics, Elsevier, vol. 125(1), pages 22-40, May.
    7. T. Saikouk & I. Zouaghi & A. Spalanzani, 2011. "Mitigating Supply Chain System Entropy by the Implementation of RFID," Post-Print halshs-00665653, HAL.
    8. Sarac, Aysegul & Absi, Nabil & Dauzère-Pérès, Stéphane, 2010. "A literature review on the impact of RFID technologies on supply chain management," International Journal of Production Economics, Elsevier, vol. 128(1), pages 77-95, November.
    9. Ponte, Borja & Costas, José & Puche, Julio & Pino, Raúl & de la Fuente, David, 2018. "The value of lead time reduction and stabilization: A comparison between traditional and collaborative supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 111(C), pages 165-185.
    10. Chiang, Chung-Yean & Lin, Winston T. & Suresh, Nallan C., 2016. "An empirically-simulated investigation of the impact of demand forecasting on the bullwhip effect: Evidence from U.S. auto industry," International Journal of Production Economics, Elsevier, vol. 177(C), pages 53-65.
    11. Florian Klug, 2022. "Modelling oscillations in the supply chain: the case of a just-in-sequence supply process from the automotive industry," Journal of Business Economics, Springer, vol. 92(1), pages 85-113, January.
    12. K. Devika & A. Jafarian & A. Hassanzadeh & R. Khodaverdi, 2016. "Optimizing of bullwhip effect and net stock amplification in three-echelon supply chains using evolutionary multi-objective metaheuristics," Annals of Operations Research, Springer, vol. 242(2), pages 457-487, July.
    13. Bivin, David, 2013. "Production chains and aggregate output volatility," International Journal of Production Economics, Elsevier, vol. 145(2), pages 807-816.
    14. Zbigniew Michna & Peter Nielsen, 2013. "The impact of lead time forecasting on the bullwhip effect," Papers 1309.7374, arXiv.org, revised Jul 2015.
    15. Ciancimino, Elena & Cannella, Salvatore & Canca Ortiz, José David & Framiñán Torres, José Manuel, 2009. "Análisis multinivel de cadenas de suministros: dos técnicas de resolución del efecto bullwhip // Supply Chain Multi-level Analysis: Two Bullwhip Dampening Approaches," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 8(1), pages 7-28, December.
    16. Prajogo, Daniel & Olhager, Jan, 2012. "Supply chain integration and performance: The effects of long-term relationships, information technology and sharing, and logistics integration," International Journal of Production Economics, Elsevier, vol. 135(1), pages 514-522.
    17. Yang, Y. & Lin, J. & Liu, G. & Zhou, L., 2021. "The behavioural causes of bullwhip effect in supply chains: A systematic literature review," International Journal of Production Economics, Elsevier, vol. 236(C).
    18. Ying Rong & Lawrence V. Snyder & Zuo‐Jun Max Shen, 2017. "Bullwhip and reverse bullwhip effects under the rationing game," Naval Research Logistics (NRL), John Wiley & Sons, vol. 64(3), pages 203-216, April.
    19. Yan, Xi Steven & Robb, David J. & Silver, Edward A., 2009. "Inventory performance under pack size constraints and spatially-correlated demand," International Journal of Production Economics, Elsevier, vol. 117(2), pages 330-337, February.
    20. Janusz Grabara & Marta Starostka-Patyk, 2009. "The Bullwhip Effect In Supply Chain," Advanced Logistic systems, University of Miskolc, Department of Material Handling and Logistics, vol. 3(1), pages 127-133, December.
    21. Sucky, Eric, 2009. "The bullwhip effect in supply chains--An overestimated problem?," International Journal of Production Economics, Elsevier, vol. 118(1), pages 311-322, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:proeco:v:129:y:2011:i:2:p:233-241. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.