Design of a New Mathematical Model for Integrated Dynamic Cellular Manufacturing Systems and Production Planning

Aghajani-Delavar, N.; Mehdizadeh, Esmaeil; Torabi, S. Ali; Tavakkoli–Moghaddam, Reza

doi:10.5829/idosi.ije.2015.28.05b.13

Cited by 3 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Production planning is a novel topic studied by many researchers for different industries [8][9][10]. Many studies in the literature assume that in the planning period, demand is constant.…”

Section: Literature Reviewmentioning

confidence: 99%

Integrated Dynamic Cellular Manufacturing Systems and Hierarchical Production Planning with Worker Assignment and Stochastic Demand

Bakhshi-Khaniki

Ghomi

2023

IJE

View full text Add to dashboard Cite

This study deals with the interaction of dynamic cellular manufacturing (DCM) and hierarchical production planning (HPP) problems with stochastic demands for the first time. Each of these alone does not consider the system factors such as stochastic demands and dynamic cellular formation separately. Accordingly, to fill this gap, this paper presents an integrated optimized model incorporating the most comprehensive design of DCM systems and HPP problems with stochastic demands. This model helps administrators get the optimal size and number of cells to decrease costs. Also, the model applies the principles of HPP to reduce the complexity of the integrated model. Since demands are uncertain, they need to be accurately predicted. Therefore, this study aims to combine the most precise decision variables with the most realistic conditions. A case study from an agriculture mechanization and industrial development company shows that an integrated model can provide managers with a feasible solution to meet demand, reconfigure cells in each period, provide new machinery to increase the required production capacity, and adjust production capacity to help them cope with demand fluctuations. A sensitivity analysis was performed and the results show that increase in forecast error and inter-cell move cost cause less significant changes in total cost but the total cost is sensitive to intra-cell move cost, available time capacities and cell quantity. It is also shown that the total cost was very sensitive to available regular time and available over time and the system should try to increase the time capacity.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Integrated Dynamic Cellular Manufacturing Systems and Hierarchical Production Planning with Worker Assignment and Stochastic Demand

Bakhshi-Khaniki

Ghomi

2023

IJE

View full text Add to dashboard Cite

show abstract

“…En [3] se reconoce que la integración del problema de formación de células y la planeación de la producción es un problema Np-hard y para resolverlo plantean un algoritmo meta heurístico basado en algoritmos genéticos. El problema minimiza los costes de compra de la máquina, el costo de manejo de materiales, el costo de configuración y reconfiguración de células que se recogen en una sola función de costo.…”

Section: The Main Conclusion It Is Possible To Address the Problem Ounclassified

Configuración multicriterio de células de fabricación considerando efecto sobre planes de producción

Cabrera¹,

Zapata²,

Gonzáles

2019

Sci. tech

View full text Add to dashboard Cite

En mercados competitivos la flexibilidad es una exigencia clave para competir, la tecnología de grupos permite obtener esta flexibilidad a bajo costo, debido a que combina las ventajas de la producción en masa con las ventajas de la producción por talleres. En tal sentido este artículo tiene como objetivo proponer una metodología que integre los planes de: configuración de planta, capacidad y producción valorando múltiples criterios para seleccionar las alternativas de agrupación con mejores resultados. Para ello se proponen realizar 5 etapas, creación de familias de productos, configuración de planta, capacidad y producción, estimación de medidas de desempeño y proceso de análisis jerárquico. Como resultado, se logra una metodología consistente respecto a la sensibilidad de la evaluación AHP de las medidas de desempeño, las variaciones individuales en los criterios de las configuraciones candidatas no modifican la decisión encontrada (configuración a seleccionar). La principal conclusión es, se puede abordar el problema de la formación de células considerando un enfoque en el que se descompone el problema en sub problemas menos complejos y así incluir al tiempo múltiples criterios de agrupación orientados al entorno donde sea aplicada la metodología.

show abstract

A Literature Survey on Various Factors in Dynamic Cellular Manufacturing System

Saleemuddin¹,

Hudgikar²

2017

IOSR JMCE

View full text Add to dashboard Cite

Design of a New Mathematical Model for Integrated Dynamic Cellular Manufacturing Systems and Production Planning

Cited by 3 publications

References 0 publications

Integrated Dynamic Cellular Manufacturing Systems and Hierarchical Production Planning with Worker Assignment and Stochastic Demand

Integrated Dynamic Cellular Manufacturing Systems and Hierarchical Production Planning with Worker Assignment and Stochastic Demand

Configuración multicriterio de células de fabricación considerando efecto sobre planes de producción

A Literature Survey on Various Factors in Dynamic Cellular Manufacturing System

Contact Info

Product

Resources

About