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

Erick Miranda-Meza (), Iván Derpich () and Juan M. Sepúlveda
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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

Mathematics, 2024, vol. 12, issue 2, 1-25

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.

Keywords: aggregate production planning; computational tool; visual modeling; operations research (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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