IDEAS home Printed from https://ideas.repec.org/a/inm/orinte/v48y2018i6p566-577.html
   My bibliography  Save this article

Implementation of Continuous Flow in the Cabinet Process at the Schneider Electric Plant in Tlaxcala, Mexico

Author

Listed:
  • Diana Sánchez-Partida

    (Department of Logistics and Supply Chain Management, Universidad Popular Autónoma del Estado de Puebla, 72410 Puebla, México)

  • Rodolfo Rodríguez-Méndez

    (Department of Logistics and Supply Chain Management, Universidad Popular Autónoma del Estado de Puebla, 72410 Puebla, México)

  • José Luis Martínez-Flores

    (Department of Logistics and Supply Chain Management, Universidad Popular Autónoma del Estado de Puebla, 72410 Puebla, México)

  • Santiago-Omar Caballero-Morales

    (Department of Logistics and Supply Chain Management, Universidad Popular Autónoma del Estado de Puebla, 72410 Puebla, México)

Abstract

This work presents the development and improvements obtained by the implementation of continuous flow in the cabinet process at Schneider Electric’s manufacturing plant in Tlaxcala, Mexico. The areas involved were the demand-planning, materials-planning, and manufacturing processes and warehouse operations. The implementation process, which consisted of shared planning, analysis of control operations, and synchronization of lean manufacturing techniques, led to increased communication among personnel within departments at the Schneider Tlaxcala plant (STP). In addition, this implementation produced the following benefits: (1) improvement of demand coverage in high-demand seasons without exceeding the production capacity, (2) reduction of shortages and delays in the assembly line with associated savings of approximately $3.5 million, (3) reduction of 17.5% in the overproduction of stamped parts and thus on the daily holding inventory, (4) setup time reduction of 77%, and (5) elimination of product flow between the cabinet process and the warehouse to reduce delivery lead time to the assembly line. The fifth benefit was made possible because STP was able to supply the cabinets directly to the assembly line in two days. As a result, the company released 49 storage spaces and improved its customer service by 5% because it could make the final products available to customers at the appropriate time (i.e., on schedule). After 24 months, these improvements led to total recurring savings of approximately $1 million considering an investment of 1.25%. In addition, Schneider Electric was able to successfully replicate this methodology in similar manufacturing plants in North America.

Suggested Citation

  • Diana Sánchez-Partida & Rodolfo Rodríguez-Méndez & José Luis Martínez-Flores & Santiago-Omar Caballero-Morales, 2018. "Implementation of Continuous Flow in the Cabinet Process at the Schneider Electric Plant in Tlaxcala, Mexico," Interfaces, INFORMS, vol. 48(6), pages 566-577, November.
  • Handle: RePEc:inm:orinte:v:48:y:2018:i:6:p:566-577
    DOI: 10.1287/inte.2018.0966
    as

    Download full text from publisher

    File URL: https://doi.org/10.1287/inte.2018.0966
    Download Restriction: no

    File URL: https://libkey.io/10.1287/inte.2018.0966?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Matthew P. Manary & Sean P. Willems & Alison F. Shihata, 2009. "Correcting Heterogeneous and Biased Forecast Error at Intel for Supply Chain Optimization," Interfaces, INFORMS, vol. 39(5), pages 415-427, October.
    2. Ada Margarita Álvarez-Socarrás & Arturo Berrones & Guillermo J. Moreno & Jesús A. Rodríguez-Sarasty & Mauricio Cabrera-Ríos, 2013. "Practice Summary: Enhancing Forecasting and Capacity Planning Capabilities in a Telecommunications Company," Interfaces, INFORMS, vol. 43(4), pages 385-387, August.
    3. C. Duri & Y. Frein & M. Di Mascolo, 2000. "Comparison among three pull control policies: kanban, base stock, and generalized kanban," Annals of Operations Research, Springer, vol. 93(1), pages 41-69, January.
    4. Michael F. Gorman & Jayden Hoff & Robert Kinion, 2009. "ASP, The Art and Science of Practice: Tales from the Front: Case Studies Indicate the Potential Pitfalls of Misapplication of Lean Improvement Programs," Interfaces, INFORMS, vol. 39(6), pages 540-548, December.
    5. Robert E. Levasseur, 2015. "People Skills: Building Analytics Decision Models That Managers Use—A Change Management Perspective," Interfaces, INFORMS, vol. 45(4), pages 363-364, August.
    6. Kaan Katircioglu & Robert Gooby & Mary Helander & Youssef Drissi & Pawan Chowdhary & Matt Johnson & Takashi Yonezawa, 2014. "Supply Chain Scenario Modeler: A Holistic Executive Decision Support Solution," Interfaces, INFORMS, vol. 44(1), pages 85-104, February.
    7. Bex George Thomas & Srinivas Bollapragada, 2010. "General Electric Uses an Integrated Framework for Product Costing, Demand Forecasting, and Capacity Planning of New Photovoltaic Technology Products," Interfaces, INFORMS, vol. 40(5), pages 353-367, October.
    8. Sıla Çetinkaya & Halit Üster & Gopalakrishnan Easwaran & Burcu Baris Keskin, 2009. "An Integrated Outbound Logistics Model for Frito-Lay: Coordinating Aggregate-Level Production and Distribution Decisions," Interfaces, INFORMS, vol. 39(5), pages 460-475, October.
    9. Philip Hans Franses, 2004. "Do We Think We Make Better Forecasts Than in the Past? A Survey of Academics," Interfaces, INFORMS, vol. 34(6), pages 466-468, December.
    10. Thomas Olavson & Chris Fry, 2008. "Spreadsheet Decision-Support Tools: Lessons Learned at Hewlett-Packard," Interfaces, INFORMS, vol. 38(4), pages 300-310, August.
    Full references (including those not matched with items on IDEAS)

    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. Mutlu, Fatih & Çetinkaya, Sıla, 2020. "Supplier–carrier–buyer channels: Contractual pricing for a carrier serving a supplier–buyer partnership," International Journal of Production Economics, Elsevier, vol. 230(C).
    2. Liqing Zhang & Sıla Çetinkaya, 2017. "Stochastic Dynamic Inventory Problem Under Explicit Inbound Transportation Cost and Capacity," Operations Research, INFORMS, vol. 65(5), pages 1267-1274, October.
    3. Manafzadeh Dizbin, Nima & Tan, Barış, 2020. "Optimal control of production-inventory systems with correlated demand inter-arrival and processing times," International Journal of Production Economics, Elsevier, vol. 228(C).
    4. Smirnov, Dina & van Jaarsveld, Willem & Atan, Zümbül & de Kok, Ton, 2021. "Long-term resource planning in the high-tech industry: Capacity or inventory?," European Journal of Operational Research, Elsevier, vol. 293(3), pages 926-940.
    5. Trapero, Juan R. & Cardós, Manuel & Kourentzes, Nikolaos, 2019. "Empirical safety stock estimation based on kernel and GARCH models," Omega, Elsevier, vol. 84(C), pages 199-211.
    6. Trapero, Juan R. & Cardós, Manuel & Kourentzes, Nikolaos, 2019. "Quantile forecast optimal combination to enhance safety stock estimation," International Journal of Forecasting, Elsevier, vol. 35(1), pages 239-250.
    7. Yossiri Adulyasak & Jean-François Cordeau & Raf Jans, 2014. "Optimization-Based Adaptive Large Neighborhood Search for the Production Routing Problem," Transportation Science, INFORMS, vol. 48(1), pages 20-45, February.
    8. Martínez-Costa, Carme & Mas-Machuca, Marta & Benedito, Ernest & Corominas, Albert, 2014. "A review of mathematical programming models for strategic capacity planning in manufacturing," International Journal of Production Economics, Elsevier, vol. 153(C), pages 66-85.
    9. Youssef Boulaksil & Philip Hans Franses, 2009. "Experts' Stated Behavior," Interfaces, INFORMS, vol. 39(2), pages 168-171, April.
      • Boulaksil, Y. & Franses, Ph.H.B.F., 2008. "Experts' Stated Behavior," ERIM Report Series Research in Management ERS-2008-001-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    10. Warren Liao, T. & Chang, P.C., 2010. "Impacts of forecast, inventory policy, and lead time on supply chain inventory--A numerical study," International Journal of Production Economics, Elsevier, vol. 128(2), pages 527-537, December.
    11. Matta, Andrea & Dallery, Yves & Di Mascolo, Maria, 2005. "Analysis of assembly systems controlled with kanbans," European Journal of Operational Research, Elsevier, vol. 166(2), pages 310-336, October.
    12. Zakaria Chekoubi & Wajdi Trabelsi & Nathalie Sauer & Ilias Majdouline, 2022. "The Integrated Production-Inventory-Routing Problem with Reverse Logistics and Remanufacturing: A Two-Phase Decomposition Heuristic," Sustainability, MDPI, vol. 14(20), pages 1-30, October.
    13. Mitchell A. Millstein & James F. Campbell, 2018. "Total Hockey Optimizes Omnichannel Facility Locations," Interfaces, INFORMS, vol. 48(4), pages 340-356, August.
    14. Franses, Ph.H.B.F., 2006. "Formalizing judgemental adjustment of model-based forecasts," Econometric Institute Research Papers EI 2006-19, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    15. Ohno, Katsuhisa, 2011. "The optimal control of just-in-time-based production and distribution systems and performance comparisons with optimized pull systems," European Journal of Operational Research, Elsevier, vol. 213(1), pages 124-133, August.
    16. Michael F. Gorman, 2016. "From Magnum Opus to Mea Culpa: A Cautionary Tale of Lessons Learned from a Failed Decision Support System," Interfaces, INFORMS, vol. 46(2), pages 183-195, April.
    17. Manousakis, Eleftherios G. & Kasapidis, Grigoris A. & Kiranoudis, Chris T. & Zachariadis, Emmanouil E., 2022. "An infeasible space exploring matheuristic for the Production Routing Problem," European Journal of Operational Research, Elsevier, vol. 298(2), pages 478-495.
    18. Nha-Nghi Cruz & Hans Daduna, 2019. "Optimal capacity allocation in a production–inventory system with base stock," Annals of Operations Research, Springer, vol. 277(2), pages 329-344, June.
    19. Roberto Chavez, 2014. "Supplier Partnership and Customer Relationship: The Role of Lean Practices," Working Papers 56, Facultad de Economía y Empresa, Universidad Diego Portales.
    20. B. Gerasimov N. & K. Gerasimov B. & Б. Герасимов Н. & К. Герасимов Б., 2018. "Инструменты обеспечения технологий решения задач управления организации // Tools for Providing Technologies to Solve Organizational Management Problems," Управленческие науки // Management Science, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, vol. 8(1), pages 82-89.

    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:inm:orinte:v:48:y:2018:i:6:p:566-577. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.