Reducing Nervousness in Master Production Planning: A Systematic Approach Incorporating Product-Driven Strategies
Manufacturing companies face a significant challenge when developing their master production schedule, navigating unforeseen disruptions during daily operations. Moreover, fluctuations in demand pose a substantial risk to scheduling and are the main cause of instability and uncertainty in the system...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-08-01
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| Series: | Algorithms |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-4893/16/8/386 |
| _version_ | 1797585751017259008 |
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| author | Patricio Sáez Carlos Herrera Victor Parada |
| author_facet | Patricio Sáez Carlos Herrera Victor Parada |
| author_sort | Patricio Sáez |
| collection | DOAJ |
| description | Manufacturing companies face a significant challenge when developing their master production schedule, navigating unforeseen disruptions during daily operations. Moreover, fluctuations in demand pose a substantial risk to scheduling and are the main cause of instability and uncertainty in the system. To address these challenges, employing flexible systems to mitigate uncertainty without incurring additional costs and generate sustainable responses in industrial applications is crucial. This paper proposes a product-driven system to complement the master production plan generated by a mathematical model. This system incorporates intelligent agents that make production decisions with a function capable of reducing uncertainty without significantly increasing production costs. The agents modify or determine the forecasted production quantities for each cycle or period. In the case study conducted, a master production plan was established for 12 products over a one-year time horizon. The proposed solution achieved an 11.42% reduction in uncertainty, albeit with a 2.39% cost increase. |
| first_indexed | 2024-03-11T00:11:28Z |
| format | Article |
| id | doaj.art-5f8cfa0e630a488b94a0a52501509a96 |
| institution | Directory Open Access Journal |
| issn | 1999-4893 |
| language | English |
| last_indexed | 2024-03-11T00:11:28Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Algorithms |
| spelling | doaj.art-5f8cfa0e630a488b94a0a52501509a962023-11-18T23:56:39ZengMDPI AGAlgorithms1999-48932023-08-0116838610.3390/a16080386Reducing Nervousness in Master Production Planning: A Systematic Approach Incorporating Product-Driven StrategiesPatricio Sáez0Carlos Herrera1Victor Parada2Department of Statistics, Universidad de Concepción, Concepción 4030000, ChileDepartment of Industrial Engineering, Universidad de Concepción, Concepción 4030000, ChileDepartment of Informatics Engineering, Universidad de Santiago de Chile, Santiago 8320000, ChileManufacturing companies face a significant challenge when developing their master production schedule, navigating unforeseen disruptions during daily operations. Moreover, fluctuations in demand pose a substantial risk to scheduling and are the main cause of instability and uncertainty in the system. To address these challenges, employing flexible systems to mitigate uncertainty without incurring additional costs and generate sustainable responses in industrial applications is crucial. This paper proposes a product-driven system to complement the master production plan generated by a mathematical model. This system incorporates intelligent agents that make production decisions with a function capable of reducing uncertainty without significantly increasing production costs. The agents modify or determine the forecasted production quantities for each cycle or period. In the case study conducted, a master production plan was established for 12 products over a one-year time horizon. The proposed solution achieved an 11.42% reduction in uncertainty, albeit with a 2.39% cost increase.https://www.mdpi.com/1999-4893/16/8/386product-drivennervousnessscheduleplanningintelligent productagent-based model |
| spellingShingle | Patricio Sáez Carlos Herrera Victor Parada Reducing Nervousness in Master Production Planning: A Systematic Approach Incorporating Product-Driven Strategies Algorithms product-driven nervousness schedule planning intelligent product agent-based model |
| title | Reducing Nervousness in Master Production Planning: A Systematic Approach Incorporating Product-Driven Strategies |
| title_full | Reducing Nervousness in Master Production Planning: A Systematic Approach Incorporating Product-Driven Strategies |
| title_fullStr | Reducing Nervousness in Master Production Planning: A Systematic Approach Incorporating Product-Driven Strategies |
| title_full_unstemmed | Reducing Nervousness in Master Production Planning: A Systematic Approach Incorporating Product-Driven Strategies |
| title_short | Reducing Nervousness in Master Production Planning: A Systematic Approach Incorporating Product-Driven Strategies |
| title_sort | reducing nervousness in master production planning a systematic approach incorporating product driven strategies |
| topic | product-driven nervousness schedule planning intelligent product agent-based model |
| url | https://www.mdpi.com/1999-4893/16/8/386 |
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