Using 4-Layer Architecture to Simulate Product and Information Flows in Manufacturing Systems

Saez-Mas, Aida; García-Sabater, José P.; Morant-Llorca, J.

doi:10.2507/ijsimm17(1)408

Cited by 7 publications

(4 citation statements)

References 21 publications

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“…Action research (Avella & Alfaro, 2014;Erro-Garcés & Alfaro-Tanco, 2020;Marin-Garcia et al, 2018;Mejia-Villa & Alfaro-Tanco, 2017) in a framework of recursive optimization-simulation for mathematical modeling based on discrete events (integer linear programming based on scenarios), with a focus on queuing theory and Markov chains (Belanger et al, 2020;Saez-Mas et al, 2018, 2020 will be proposed. We will develop the basis for the models with tools that are accessible to the heads of cooperating health centers or health systems.…”

Section: Methodsmentioning

confidence: 99%

“…The group has cooperated in problem solving in settings with variable demand (Saez-Mas et al, 2020) and in the logistical response in medical crisis situations (Wanying et al, 2016). During the second week of the Spanish lockdown, the group had a design/functional draft that was backed by a validated methodology (Saez-Mas et al, 2018). The models will be parameterized to fit the available data and the peculiarities of the protocols and situations experienced in each hospital context.…”

Section: Introductionmentioning

confidence: 99%

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Operations Management at the service of health care management: Example of a proposal for action research to plan and schedule health resources in scenarios derived from the COVID-19 outbreak

Marín-García

García-Sabater

Ruiz³

et al. 2020

JIEM

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Purpose: With this work, we intend to promote research on the application of Operations Management tools in order to assist with decision-making in health crisis situations. During the first six weeks of the COVID-19 crisis in Spain, we have contacted a large number of hospital and health department managers in the Valencian Community and other regions of Spain. The result is that very few, at least when contact was made and at the time of writing this article, had consulted staff members in the Operations Management area for advice on this situation, and they are quite reluctant to do so. This is in spite of the fact that some medical sources also consider this crisis to be one of resources, not merely a medical crisis. Our opinion is that Operations Management can make a useful and valuable contribution to anticipate and improve the management of scarce resources, even in times of crisis. If those responsible for public health or heads of hospitals do not see this usefulness, then there is a huge gap between research and practice in Operations Management and what is transmitted to the healthcare sector. Our aim is to help reduce this gap.Design/methodology/approach: In the first part of the article, we will justify that this crisis, besides being a medical crisis, is also a crisis in terms of resources. We will briefly review some of the Operations Management tools that we believe are appropriate for managing this crisis. We will focus on those that we will illustrate in the second part of the article as a practical example of the action research protocol (only the action planning phase), in which we are currently involved.Findings: Due to the peculiarities of the COVID-19 epidemic, it is reasonable to think that the evolution and duration of each outbreak, and the way it is dealt with, will be different in each hospital and/or each health department. Anticipating the number of patients who will require care and forecasting the consumption of resources over time is complex, due to the long and variable incubation times and the uncontrolled evolution of the treatments needed by each patient. Furthermore, since the evolution of new patient admissions is not homogeneous, the forecasting of requirements is difficult. Providing real-time support and detecting with a certain degree of anticipation the potential levels of demand for health care will enable hospitals to define what stages of the contingency plan to apply and how to (re)assign the available resources in the most efficient way possible.Research limitations/implications: Hardly any current data are available, not only publicly, but also through public health ministries and managers; those that are available are not very reliable and come from studies with non-representative samples. For this reason, all forecasts must be taken with a note of caution, and in particular, designing review mechanisms every time a new set of updated reliable data becomes available (something that occurs on a weekly basis).Originality/value: In this work, we will show an example of a proposal for the practical application of Operations Management tools. Our proposal may be useful to hospital managers and public administrators in the healthcare sector (regional ministries or their equivalents). Each health department, hospital or hospital group will generate the aggregate data that facilitate the calculation of needs as input parameters for the model (available and occupied beds, daily admissions, mean lengths of stay in each healing phase and the percent of patients who evolve from one stage to another in the progression of the disease/healing process) and will be able to analyze how the system responds and evaluate different strategies or mitigating actions. These tools have been shown to be useful and reliable in manufacturing and service contexts that show a strong seasonal demand (both occasional and recurring) requiring a great deal of resources. We believe these situations are analogous to those faced by hospitals and the healthcare system in an epidemic like COVID-19. With them, we could facilitate the aggregate planning of resources for hospital administrators in order to provide them operational support during the COVID-19 contingency plan. However, the array of useful tools for this crisis is not limited to those that we will illustrate. Our intent is to encourage the Operations Management academic community to demonstrate how they contribute to the service of society in this COVID-19 epidemic, providing knowledge that can be extrapolated to other similar situations in the future that we may be unfortunate enough to experience.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Operations Management at the service of health care management: Example of a proposal for action research to plan and schedule health resources in scenarios derived from the COVID-19 outbreak

Marín-García

García-Sabater

Ruiz³

et al. 2020

JIEM

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“…Saez-Mas, A. et al [ 17 ] detail a 4-layers architecture and adapt it to two specific case studies. The first case is moving car bodies from the paint plant to the assembly line and the second is analysing a layout of a section used to assemble the engine and transmission set.…”

Section: Literature Reviewmentioning

confidence: 99%

Real-Time Quality Control of Heat Sealed Bottles Using Thermal Images and Artificial Neural Network

et al. 2021

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Quality control of heat sealed bottles is very important to minimize waste and in some cases protect people’s health. The present paper describes a case study where an automated non invasive and non destructive quality control system was designed to assess the quality of the seals of bottles containing pesticide. In this case study, the integrity of the seals is evaluated using an artificial neural network based on images of the seals processed with computer vision techniques. Because the seals are not directly visible from the bottle exterior, the images are infrared pictures obtained using a thermal camera. The method is non invasive, automated, and can be applied to common conveyor belts currently used in industrial plants. The results show that the inspection process is effective in identifying defective seals with a precision of 98.6% and a recall of 100% and because it is automated it can be scaled up to large bottle processing plants.

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“…Saez-Mas vd. [17] çalışmalarında hareketli araç gövdelerinin boyahaneden montaj hattına taşınması işleminin uygun sıralama ile gerçekleşmesi örnek uygulaması ve yerleşim düzeninin değerlendirildiği örnek uygulamasına göre yapılan simülasyon çalışması ile farklı operasyon katmanlarının taşıma verimliliği ilişkisi incelenmiştir. Zhang vd.…”

Section: Giriş (Introduction)unclassified

Endüstriyel hücrelerde bulanık tabanlı taşıma yöntemi seçimi için geliştirilen bir yaklaşım: vaka çalışması

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Durmuşoğlu

2023

Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi

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Lojistiğin diğer boyutlarının aksine üretim lojistiği veya iç lojistik ile ilgili literatürde yeterli sayıda denebilecek çalışma mevcut değildir. Hâlbuki üretim faaliyetleri içerisinde lojistik, önemli bir yer işgal eder, üretimin süresine ve ürün kalitesine doğrudan etki eder. Böylesine önemli olan üretim lojistiği ile ilgili literatürdeki sınırlı sayıdaki çalışmaya bakıldığında çalışmaların depolama stratejilerinin belirlenmesi, depolama araçlarının seçimi, malzeme tasıma hareketlerinin yapılandırılması, malzeme tasıma araç türlerinin seçimi, hücresel yerleşim, hücre içi ve hücreler arası hareketlerin yapılandırılması ile ilgili olduğunu görüyoruz. Bulanık tabanlı bir seçim yaklaşımı olan bulanık ve ağırlıklandırılmış bulanık bilgi aksiyomunun endüstriyel hücrelerdeki taşıma faaliyetleri için kullanılması literatürde yeni sayılabilecek bir çalışma olacaktır. Aksiyomlarla tasarım metodolojisi içerisinde yer alan bilgi aksiyomu, en yalın iç lojistik taşıma yönteminin belirlenmesinde kullanılmıştır. Yalın lojistik yalın üretimin lojistik boyutudur. Makalemizle ilgili bir otomotiv yan sanayi firmasının fabrikasında uygulama çalışması yapılmıştır. Üretim ortamında kullanılabilecek farklı taşıma yöntemleri mevcuttur. Bulanık bilgi aksiyomu ve ağırlıklandırılmış bulanık bilgi aksiyomu kullanılarak müşteri beklentilerin en çok sağlayan, en yalın ve en verimli hücre besleme yöntemi bulunmaya çalışılmıştır. Mevcut iç lojistik taşıma yöntemi ile önerilen yalın iç lojistik taşıma yöntemi arasındaki farklara çalışmamızda yer verilmiştir. Karar vericilerin tereddütten uzak karar verebilmelerine yardımcı olabilmek için duyarlılık analizi ile çalışmamız güçlendirilmiştir.

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Using 4-Layer Architecture to Simulate Product and Information Flows in Manufacturing Systems

Cited by 7 publications

References 21 publications

Operations Management at the service of health care management: Example of a proposal for action research to plan and schedule health resources in scenarios derived from the COVID-19 outbreak

Operations Management at the service of health care management: Example of a proposal for action research to plan and schedule health resources in scenarios derived from the COVID-19 outbreak

Real-Time Quality Control of Heat Sealed Bottles Using Thermal Images and Artificial Neural Network

Endüstriyel hücrelerde bulanık tabanlı taşıma yöntemi seçimi için geliştirilen bir yaklaşım: vaka çalışması

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