Capacity planning of a mixed-model assembly line for prefabricated housebuilding elements

Huka, Maria Anna; Grenzfurtner, Wolfgang; Zauner, Barbara; Gronalt, Manfred

doi:10.1016/j.procs.2021.01.293

Cited by 8 publications

(3 citation statements)

References 15 publications

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“…Searching for current literature specifically about the functions process and capacity planning suggests a high availability of Industry 4.0 approaches in these areas (e.g. Trstenjaka & Cosic, 2017;Chien, Dou & Fu, 2018;Huka, Grenzfurtner, Zauner & Gronalt, 2021). In contrast, lot-sizing and production order scheduling have not been related to Industry 4.0 approaches in the current literature.…”

Section: Discussion and Future Researchmentioning

confidence: 99%

Approaches of production planning and control under industry 4.0: A literature review

Herrmann

Tackenberg

Padoano

et al. 2022

JIEM

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Purpose: Industry 4.0 technologies influence how production is planned, scheduled, and controlled. In literature, different classifications of the tasks and functions of production planning and control (PPC) exist, of which one is the German Aachen PPC model. This research aims to identify and classify current Industry 4.0 approaches for planning and controlling production processes and to reveal researched and unexplored areas of the model.Design/methodology/approach: In an exploratory literature review, we review and classify 48 publications on a full-text basis with the Aachen PPC model's tasks and functions. Two cluster analyses reveal researched and unexplored tasks and functions of the Aachen PPC model. Additionally, we give a summary of each reviewed publication.Findings: We propose a cyber-physical PPC architecture, which incorporates current Industry 4.0 technologies, current optimization methods, optimization objectives, and disturbances relevant for realizing a PPC system in a smart factory. Current approaches focus on the in-house PPC, particularly on the control using real-time information from the shop floor. We propose future research directions for the unexplored tasks and functions of the Aachen PPC model.Research limitations/implications: The selection of search terms and the texts' interpretation is based on an individual assessment. The revelation of unexplored tasks and functions of the Aachen PPC model might have a different outcome if the search term combination is parameterized differently.Originality/value: Using the Aachen PPC model, which holistically models PPC, the findings give comprehensive insights into the current advances of tools, methods, and challenges relevant to planning and controlling production processes under Industry 4.0.

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Section: Discussion and Future Researchmentioning

confidence: 99%

Approaches of production planning and control under industry 4.0: A literature review

Herrmann

Tackenberg

Padoano

et al. 2022

JIEM

View full text Add to dashboard Cite

show abstract

“…Task assignment was studied in various applications. Cetin et al (2020) and Huka et al (2021) studied personnel task assignment problems. They developed a multi-objective mathematical model to assign the number of transactions to employees in a bank by considering this problem as GAP.…”

Section: Literature Reviewmentioning

confidence: 99%

Workload Balancing for Stability Test Using a Mixed Integer Programming Model

Woraruthai,

Tharmmaphornphilas

2023

Proceedings of the International Conference on Industrial Engineering and Operations Management

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This research studies a monthly task assignment for staff and testing equipment of a stability testing process in a pharmaceutical company. A stability testing process begins with collecting drug to the system, preparing chemical, glassware and equipment, testing drugs on equipment and writing reports. There are three types of a stability test where each drug requires different type of stability test, and some drugs require multiple types. Each testing process requires different types of testing equipment, which requires different set-up time and processing time. Currently, task assignments are determined based upon division manager's experience which leads to unbalanced workload. To solve this problem, a mixed integer linear programming model (MILP) is proposed to find the optimal solution, which focuses on minimizing the difference between maximum and minimum workload of staff, overtime, and penalty cost of postponement. The result of this model shows that the unbalanced workload among staff is reduced. Moreover, by test postponement, overtime does not occur.

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“…Além disso, existem situações em que as variáveis podem assumir valores reais, caracterizando a Programação Linear Inteira Mista (PLIM) (Vanderbei, 2020). Como exemplos da PLIM, podem ser citados: a aplicação para os limites de tempo na cadeia de suprimentos, o suporte ao planejamento da capacidade produtiva, o sequenciamento de produtos e quantidade de pessoal em linhas de montagem paralelas (Gamrath et al, 2019;Huka et al, 2021).…”

Section: Introductionunclassified

Programação linear aplicada na indústria e suas conexões com os objetivos de desenvolvimento sustentável

Hoose,

Kripka

2024

Revista PO: R. Eletr. de Eng. de Produção e Correlatas

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Vários problemas do mundo real podem ser modelados com o uso da Programação Linear, dentre eles, os temas voltados para a sua aplicação na indústria. Neste contexto, este estudo tem como objetivo identificar as aplicações da Programação Linear na Indústria e suas conexões com os Objetivos de Desenvolvimento Sustentável (ODS). A metodologia utilizada é uma análise sistemática e bibliométrica de artigos científicos indexados na base de dados Scopus, considerando a aplicação da programação linear na indústria. Também foram pesquisados os desafios, aspectos positivos e negativos, perspectivas e oportunidades no uso da programação linear e a sua conexão com os objetivos de desenvolvimento sustentável. O estudo foi composto pela análise de 136 artigos, referente ao período de 2000 até julho de 2023. Foram gerados mapas temáticos com o uso do Bibliometrix, para orientar as discussões da pesquisa. Constata-se que é possível a aplicação da formulação de problemas da programação linear em várias atividades na indústria, nos assuntos de mão de obra, redução de estoque e atendimento da demanda. O maior desafio está na formulação de problemas que abrangem os aspectos da sustentabilidade, principalmente no uso da energia renovável e o impacto ambiental, que também são temas-motores neste campo de pesquisa.

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Capacity planning of a mixed-model assembly line for prefabricated housebuilding elements

Cited by 8 publications

References 15 publications

Approaches of production planning and control under industry 4.0: A literature review

Approaches of production planning and control under industry 4.0: A literature review

Workload Balancing for Stability Test Using a Mixed Integer Programming Model

Programação linear aplicada na indústria e suas conexões com os objetivos de desenvolvimento sustentável

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