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An Icon-Based Methodology for the Design of a Prototype of a Multi-Process, Multi-Product, Aggregated Production Planning Software

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  • Erick Miranda-Meza

    (Department of Industrial Engineering, Universidad de Santiago de Chile, Santiago 8370458, Chile)

  • Iván Derpich

    (Department of Industrial Engineering, Universidad de Santiago de Chile, Santiago 8370458, Chile)

  • Juan M. Sepúlveda

    (Department of Industrial Engineering, Universidad de Santiago de Chile, Santiago 8370458, Chile)

Abstract

This paper proposes an icon-based methodology for the design of prototype aggregated production planning software that addresses the complexity of multi-process and multi-product production. Aggregate planning is a critical task in production management, which involves coordinating the production of multiple products in different processes to meet demand efficiently. The approach focuses on the use of visual icons to represent key elements of the production process, such as products, processes, resources, and constraints. These icons allow an intuitive representation of information and facilitate communication between production team members. In addition, this paper presents a conceptual structure that defines the relationships between the icons and how they are used to model and simulate aggregate production planning. The prototype software based on a conceptual foundation allows planners to easily create and adjust production plans in a visual environment. This method improves the ability to make informed and rapid decisions in response to changes in demand or production capacity. The prototype is based on icons and programmed in Excel spreadsheets to facilitate the planner’s planning. At the end of the document, the application of a case study is shown.

Suggested Citation

  • Erick Miranda-Meza & Iván Derpich & Juan M. Sepúlveda, 2024. "An Icon-Based Methodology for the Design of a Prototype of a Multi-Process, Multi-Product, Aggregated Production Planning Software," Mathematics, MDPI, vol. 12(2), pages 1-25, January.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:2:p:336-:d:1322667
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    References listed on IDEAS

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    1. Nam, Sang-jin & Logendran, Rasaratnam, 1992. "Aggregate production planning -- A survey of models and methodologies," European Journal of Operational Research, Elsevier, vol. 61(3), pages 255-272, September.
    2. Jonsson, Patrik & Kjellsdotter Ivert, Linea, 2015. "Improving performance with sophisticated master production scheduling," International Journal of Production Economics, Elsevier, vol. 168(C), pages 118-130.
    3. Gerald Brown & Joseph Keegan & Brian Vigus & Kevin Wood, 2001. "The Kellogg Company Optimizes Production, Inventory, and Distribution," Interfaces, INFORMS, vol. 31(6), pages 1-15, December.
    4. Miltenburg, John, 2008. "Setting manufacturing strategy for a factory-within-a-factory," International Journal of Production Economics, Elsevier, vol. 113(1), pages 307-323, May.
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