AGGREGATE PRODUCTION PLANNING CONSIDERING PERFORMANCE EVOLUTION: A CASE STUDY Article Swipe

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El-Awady Attia , Ahmed M. Megahed , S. Baioumy , Ahmed El-Betar , Philippe Duquenne ·

YOU? · · 2016 · Open Access · · DOI: https://doi.org/10.21608/amme.2016.35291

Due to the violent market competition, organizations should respond quickly to customer needs.This strategic objective can be reached through the development of robust production planning.One of the most important factors in production planning is the workforce productivity which is a dynamic manufacturing property, i.e. the workforce productivity increases thanks to in-job training.This phenomenon is known as production progress function or work-based-learning.Considering this phenomenon in industrial planning can lead to robust manufacturing plans.The current study introduces a novel model for a medium term production planning, which used to find the yearly optimum aggregate production plan in order to minimize the total production costs in respecting the operational constraints and considering the production progress function.The resultant model is a linear mixed integer program that can be solved optimally.The data used in validating and running the model was taken from an Egyptian factory that is dedicated to produce electric motors.The model was solved optimally using ILOG CPLEX Software.By comparing the results of this study against the adopted approach in the factory; one can find that the model succeeded to minimize the production costs by about 5.43 % for first year, 2.66% for the second, and 1.86% for the third one.In monetary units these percentages can be translated respectively to 11.7 million L.E., 6.3 million L.E., and 4.7 million L.E.

Related Topics

Production Planning

Production (Economics)

Factory (Object-Oriented Programming)

Work (Physics)

Computer Science

Operations Management

Industrial Engineering

Business

Manufacturing Engineering

Mechanical Engineering

Economic Growth

Evolutionary Biology

Macroeconomics

Concepts

Production planning Production (economics) Aggregate planning Productivity Factory (object-oriented programming) Operations research Function (biology) Workforce planning Work (physics) Computer science Workforce Production function Operations management Industrial engineering Business Manufacturing engineering Economics Engineering Microeconomics Biology Programming language Mechanical engineering Economic growth Evolutionary biology Macroeconomics

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Type: article
Language: en
Landing Page: https://doi.org/10.21608/amme.2016.35291
PDF: http://amme.journals.ekb.eg/article_35291_e7940cbd3dbc19b673f2f3e115142de5.pdf
OA Status: bronze
Cited By: 3
References: 17
Related Works: 10
OpenAlex ID: https://openalex.org/W2897881925

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OpenAlex ID: https://openalex.org/W2897881925

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DOI: https://doi.org/10.21608/amme.2016.35291

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Title: AGGREGATE PRODUCTION PLANNING CONSIDERING PERFORMANCE EVOLUTION: A CASE STUDY

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Type: article

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Language: en

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Publication year: 2016

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Publication date: 2016-04-01

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Authors: El-Awady Attia, Ahmed M. Megahed, S. Baioumy, Ahmed El-Betar, Philippe Duquenne

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Landing page: https://doi.org/10.21608/amme.2016.35291

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PDF URL: https://amme.journals.ekb.eg/article_35291_e7940cbd3dbc19b673f2f3e115142de5.pdf

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Concepts: Production planning, Production (economics), Aggregate planning, Productivity, Factory (object-oriented programming), Operations research, Function (biology), Workforce planning, Work (physics), Computer science, Workforce, Production function, Operations management, Industrial engineering, Business, Manufacturing engineering, Economics, Engineering, Microeconomics, Biology, Programming language, Mechanical engineering, Economic growth, Evolutionary biology, Macroeconomics

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Cited by: 3

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Citations by year (recent): 2025: 1, 2022: 1, 2021: 1

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References (count): 17

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Related works (count): 10

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