IDEAS home Printed from https://ideas.repec.org/a/spr/gjofsm/v21y2020i1d10.1007_s40171-020-00236-8.html
   My bibliography  Save this article

Advanced Planning System as support for Sales and Operation Planning: study in a Brazilian automaker

Author

Listed:
  • Diego Aparecido Wolfshorndl

    (Universidade Metodista de Piracicaba – UNIMEP)

  • Mauro Vivaldini

    (Universidade Paulista – UNIP)

  • João Batista Camargo Junior

    (Universidade Metodista de Piracicaba – UNIMEP)

Abstract

The Advanced Planning System (APS) is a system that provides optimisation of programming activities and provides support for forecasting and planning of demand, production and materials, providing support for the company’s decision-making. Sales and Operation Planning (S&OP) is a process for improving demand management, which minimises conflicts between sales, marketing and production in the construction of feasible sales and production plans. In order to identify how the APS can assist in S&OP process, specifically in Demand Planning stage, this research studies an automaker located in Brazil. Data were collected through the application of a semi-structured questionnaire with the participation of 11 professionals directly related to the S&OP and APS processes. The results show that APS assists the S&OP process by serving as a support tool for viewing demand, production plans, constraints and planning histories; integrating decisions into the Enterprise Resource Planning system; and serving as an essential instrument in aiding decision-making for the accuracy it offers for forecasts and plans. However, some points of the system could be improved, such as minimising human failures in data entry and the need for weekly adjustments that influence the level of security stock of suppliers.

Suggested Citation

  • Diego Aparecido Wolfshorndl & Mauro Vivaldini & João Batista Camargo Junior, 2020. "Advanced Planning System as support for Sales and Operation Planning: study in a Brazilian automaker," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 21(1), pages 1-13, June.
    • Handle: RePEc:spr:gjofsm:v:21:y:2020:i:1:d:10.1007_s40171-020-00236-8
    DOI: 10.1007/s40171-020-00236-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40171-020-00236-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s40171-020-00236-8?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
    ---><---

    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. Noroozi, Sayeh & Wikner, Joakim, 2017. "Sales and operations planning in the process industry: A literature review," International Journal of Production Economics, Elsevier, vol. 188(C), pages 139-155.
    2. Manoj Kumar Singh & Harish Kumar & M. P. Gupta & Jitendra Madaan, 2018. "Analyzing the Determinants Affecting the Industrial Competitiveness of Electronics Manufacturing in India by Using TISM and AHP," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(3), pages 191-207, September.
    3. Agus Darmawan & Hartanto Wong & Anders Thorstenson, 2018. "Integration of promotion and production decisions in sales and operations planning," International Journal of Production Research, Taylor & Francis Journals, vol. 56(12), pages 4186-4206, June.
    4. Shashank Mittal, 2019. "Role of Continuity, Specificity and Frequency of Firm–Supplier Exchanges in Customer Fulfilment: Evidence from Latin America," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 20(1), pages 25-37, December.
    5. Herbert Meyr & Michael Wagner & Jens Rohde, 2005. "Structure of Advanced Planning Systems," Springer Books, in: Hartmut Stadtler & Christoph Kilger (ed.), Supply Chain Management and Advanced Planning, edition 0, chapter 5, pages 109-115, Springer.
    6. Ehsan Samiei & Jafar Habibi, 2020. "The Mutual Relation Between Enterprise Resource Planning and Knowledge Management: A Review," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 21(1), pages 53-66, March.
    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. Pereira, Daniel Filipe & Oliveira, José Fernando & Carravilla, Maria Antónia, 2020. "Tactical sales and operations planning: A holistic framework and a literature review of decision-making models," International Journal of Production Economics, Elsevier, vol. 228(C).
    2. Pereira, Daniel Filipe & Oliveira, José Fernando & Carravilla, Maria Antónia, 2022. "Merging make-to-stock/make-to-order decisions into sales and operations planning: A multi-objective approach," Omega, Elsevier, vol. 107(C).
    3. José Celso Contador & Walter Cardoso Satyro & Jose Luiz Contador & Mauro de Mesquita Spinola, 2020. "Flexibility in the Brazilian Industry 4.0: Challenges and Opportunities," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 21(1), pages 15-31, June.
    4. Unai Apaolaza & Aitor Orue & Aitor Lizarralde & Aitor Oyarbide-Zubillaga, 2022. "Competitive Improvement through Integrated Management of Sales and Operations," Sustainability, MDPI, vol. 14(5), pages 1-18, February.
    5. J. F. F. Almeida & S. V. Conceição & L. R. Pinto & B. R. P. Oliveira & L. F. Rodrigues, 2022. "Optimal sales and operations planning for integrated steel industries," Annals of Operations Research, Springer, vol. 315(2), pages 773-790, August.
    6. Buitrago R., Ricardo E. & Barbosa Camargo, María Inés, 2021. "Institutions, institutional quality, and international competitiveness: Review and examination of future research directions," Journal of Business Research, Elsevier, vol. 128(C), pages 423-435.
    7. Goh, Shao Hung & Eldridge, Stephen, 2019. "Sales and Operations Planning: The effect of coordination mechanisms on supply chain performance," International Journal of Production Economics, Elsevier, vol. 214(C), pages 80-94.
    8. Alireza Arshadi Khamseh, 2021. "A Time-Dependent Sustainable–Flexible Supplier Selection Considering Uncertainty and TODIM Method in Iranian Dairy Industries," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 22(2), pages 113-126, June.
    9. Marcelo Xavier Seeling & Tobias Kreuter & Luiz Felipe Scavarda & Antônio Márcio Tavares Thomé & Bernd Hellingrath, 2021. "Global sales and operations planning: A multinational manufacturing company perspective," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-22, September.
    10. Yehia Ibrahim Alzoubi & Asif Qumer Gill, 2022. "Can Agile Enterprise Architecture be Implemented Successfully in Distributed Agile Development? Empirical Findings," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(2), pages 221-235, June.
    11. Laxmi Gupta & Ravi Shankar, 2022. "Adoption of Battery Management System in Utility Grid: An Empirical Study Using Structural Equation Modeling," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(4), pages 573-596, December.
    12. Giuseppe Fragapane & Dmitry Ivanov & Mirco Peron & Fabio Sgarbossa & Jan Ola Strandhagen, 2022. "Increasing flexibility and productivity in Industry 4.0 production networks with autonomous mobile robots and smart intralogistics," Annals of Operations Research, Springer, vol. 308(1), pages 125-143, January.
    13. Jackson, Ilya & Ivanov, Dmitry, 2023. "A beautiful shock? Exploring the impact of pandemic shocks on the accuracy of AI forecasting in the beauty care industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 180(C).
    14. Mohammad Asim & Saboohi Nasim, 2022. "Modeling Enterprise Flexibility and Competitiveness for Indian Pharmaceutical Firms: A Qualitative Study," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(4), pages 551-571, December.
    15. Anshu Agrawal, 2020. "Modified Total Interpretive Structural Model of Corporate Financial Flexibility," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 21(4), pages 369-388, December.
    16. Sanjay Dhir & Swati Dhir, 2020. "Modeling of strategic thinking enablers: a modified total interpretive structural modeling (TISM) and MICMAC approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(1), pages 175-188, February.
    17. Prof. Sushil, 2018. "Managing Lifetime Wastivity," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(3), pages 187-189, September.
    18. Mikhail Yurievich Ryabchikov & Elena Sergeevna Ryabchikova, 2022. "Big Data-Driven Assessment of Proposals to Improve Enterprise Flexibility Through Control Options Untested in Practice," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(1), pages 43-74, March.
    19. Mohammad Asim & Saboohi Nasim & Zeba Naz, 2023. "Impact of Enterprise Flexibility on Firm’s Competitiveness: An Empirical Study of Select Pharmaceutical Firms in India," International Journal of Global Business and Competitiveness, Springer, vol. 18(1), pages 35-42, June.
    20. Gansterer, Margaretha & Almeder, Christian & Hartl, Richard F., 2014. "Simulation-based optimization methods for setting production planning parameters," International Journal of Production Economics, Elsevier, vol. 151(C), pages 206-213.

    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:spr:gjofsm:v:21:y:2020:i:1:d:10.1007_s40171-020-00236-8. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.