Aggregate planning problem from sustainability perspective

Saracoglu, Ozturk; Arslan, Mehmet Can; Türkay, Metin

doi:10.1109/icadlt.2015.7136616

Cited by 4 publications

(3 citation statements)

References 9 publications

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“…Hahn et al (2018) introduced a decision support system applied to the chemical process industry to select optimum production routing that ensures improved capacity utilization while considering the reduction of carbon emissions and unnecessary overtime working hours. Saracoglu et al (2015) considered economic, environmental, and social pillars in APP, aiming to fill the gap in SAPP literature. Their model considered employee job security, employee health, work-family balance, and customer satisfaction as social aspects.…”

Section: Search Statementmentioning

confidence: 99%

Aggregate Production Planning with Organizational Learning and Social Sustainability Considerations – Current Gaps and Future Opportunities

Mostafa¹,

Elhabashy²,

Fors³

et al. 2023

Proceedings of the International Conference on Industrial Engineering and Operations Management

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Enhancing industrial organizations' responsiveness to market fluctuations is essential to survive current global supply chain challenges. Better responsiveness can be attained through robust and real-time production planning, especially on the tactical level through Aggregate Production Planning (APP) activities. A key variable in APP is workforce productivity enhancement. However, the dynamic nature of the workforce raises concerns about productivity improvement initiatives. To address this issue, the incorporation of organizational learning and social sustainability into APP has received significant attention from megacorps looking to increase competitiveness. This literature review assesses the prevalence of workforce productivity and social sustainability considerations in the APP problem. The review found that there is a limited number of studies that consider organizational learning in APP, and more research is needed to address the resilience of organizational learning evaluation models. Additionally, there is a lack of studies that focus on social sustainability measures in APP. Finally, it was observed that metaheuristic approaches are commonly used to solve complex APP problems, with genetic algorithms, harmony search algorithms, and simulated annealing being the most frequently employed methods. More research is needed to explore the use of other metaheuristic approaches and to assess their effectiveness in solving APP problems.

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Section: Search Statementmentioning

confidence: 99%

Aggregate Production Planning with Organizational Learning and Social Sustainability Considerations – Current Gaps and Future Opportunities

Mostafa¹,

Elhabashy²,

Fors³

et al. 2023

Proceedings of the International Conference on Industrial Engineering and Operations Management

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“…Respecto a la productividad, esta tiende a disminuir debido a que los individuos perciben un menor control en el empleo y desarrollan comportamientos laborales disfuncionales (Jordan, Ashkanasy & Hartel, 2002). Si bien existen estudios donde se analiza el impacto en la fuerza de trabajo, el análisis se limita al establecimiento de objetivos de reducción en los costos de contratación y despido y al establecimiento de restricciones en estas variables (Smith, Correa & Aristizábal, 2004;Oeinarto, 2014;Saraçoğlu, Arslan & Turkay, 2015;Rasmi et al, 2019). Es importante comprender todos estos factores para definir una estrategia adecuada que, en general, dependerá de las políticas de la empresa, sus prioridades competitivas, el tipo de sistema productivo, Revista Ingeniería Industrial.…”

Section: Revisión De La Literatura Plan Agregado De Producciónunclassified

Análisis multicriterio para la selección de un Plan Agregado de Producción considerando el Factor Humano

Tabone

Boloquy

Mortara

et al. 2022

Rev. Ing. Ind. Act. y N. Tend.

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El presente trabajo tiene como objetivo seleccionar el mejor Plan Agregado de Producción en una empresa del rubro electromecánico de Argentina mediante la aplicación del Proceso Analítico de Jerarquías. Para la selección de las alternativas propuestas se definen como criterios más relevantes al factor humano, el costo, el plan de producción, el inventario y la subcontratación. Este trabajo plantea una aplicación de un modelo multicriterio para la selección de un Plan Agregado de Producción, evaluando el factor humano junto con los criterios de decisión convencionales. Este método permite la selección de un plan considerando criterios y subcriterios de selección, de acuerdo con las prioridades estratégicas del área productiva y de la empresa. Como resultado, el factor humano es el criterio más importante y la Alternativa 1 la mejor para el modelo propuesto. Esta alternativa adopta una estrategia de nivelación de la mano de obra, tratando de abastecer la totalidad de la demanda con una fuerza de trabajo constante durante todo el periodo de planificación.

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“…Aggregate production planning is a plan that aims to determine the amount of production, inventory, employees, overtime level, and demand satisfaction level which leads to minimum costs or maximum profits [1]. In the early stages of aggregate production planning is estimating consumer demand as input from the planning process.…”

Section: Introductionmentioning

confidence: 99%

Variable Neighborhoods Search for Multi-Site Production Planning

Rizki

Yuliastuti

Mahmudy

et al. 2018

JITeCS

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In the home textile industry, production planning needs to be done so that the production costs incurred by the company can be well controlled. Production planning is a problem that cannot be solved in a short time. Problems are more complex if the company has several production branches in other cities, with rules and standards that are certainly very different from one city to another. Based on this background, an algorithm is needed that can solve production planning problems for companies with many production branches in order to obtain optimal solutions. VNS is applied by the author and produces an optimal and efficient solution because the time needed is relatively short compared to the planning carried out previously by the company.

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Aggregate planning problem from sustainability perspective

Cited by 4 publications

References 9 publications

Aggregate Production Planning with Organizational Learning and Social Sustainability Considerations – Current Gaps and Future Opportunities

Aggregate Production Planning with Organizational Learning and Social Sustainability Considerations – Current Gaps and Future Opportunities

Análisis multicriterio para la selección de un Plan Agregado de Producción considerando el Factor Humano

Variable Neighborhoods Search for Multi-Site Production Planning

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