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Industry 4.0 technologies and managers’ decision-making across value chain. Evidence from the manufacturing industry

Młody Michał, Ratajczak-Mrozek Milena, Sajdak Maja

Engineering Management in Production and Services

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2023

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Vol. 15, no. 3

69--83

EN

The paper aims to identify how Industry 4.0 technologies affect the quality and speed of the managers’ decision-making process across the different stages of the value chain, based on the example of the manufacturing sector. The paper adopts qualitative research, based on nine in-depth interviews with key informants, to capture senior executives’ experiences with implementing Industry 4.0 technologies in their organisations. The research is focused on three manufacturing industries: the automotive, food and furniture industries. The research shows that depending on the stage of the value chain, different Industry 4.0 technologies are more suitable for the support of managers’ decisions. Various Industry 4.0 technologies support decisionmaking at different stages of the manufacturing value chain. In the Design stage, 3D printing and scanning technologies play a crucial role. In the case of Inbound Logistics, robotisation, automation, Big Data analysis, and Business Intelligence are most useful. During the Manufacturing stage, robotisation, automation, 3D printing, scanning, Business Intelligence, cloud computing, and machine-to-machine (M2M) integration enable quick decision-making and speed up production. Sensors and the Internet of Things (IoT) optimise distribution in the Outbound Logistics stage. And finally, Business Intelligence supports decisions within the Sales and Marketing stage. It is also the most versatile technology among all particular stages. The paper provides empirical evidence on the Industry 4.0 technology support in decision-making at different stages of the manufacturing value chain, which leads to more effective value chain management, ensuring faster and more accurate decisions at each value-chain stage. When using properly selected Industry 4.0 technologies, managers can optimise their production processes, reduce costs, avoid errors and improve customer satisfaction. Simultaneously, Industry 4.0 technologies facilitate predictive analytics to forecast and anticipate future demand, quality issues, and potential risks. This knowledge allows organisations to make better decisions and take proactive actions to prevent problems.

2

Fuzzy comprehensive model of manufacturing industry transfer risk based on economic big data analysis

Sun Tong, Liu Chunzhi

Bulletin of the Polish Academy of Sciences. Technical Sciences

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2022

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Vol. 70, nr 2

art. no. e139959

EN

Aiming at the problems of low accuracy, low efficiency and low stability of traditional methods and recent developments in advanced technology incite the industries to be in sync with modern technology. With respect to various available techniques, this paper designs a fuzzy comprehensive evaluation model of the manufacturing industry for transferring risk based on economic big-data analytics. The big-data analysis method is utilized to obtain the data source of fuzzy evaluation of the manufacturing industry to transfer risk using data as the basis of risk evaluation. Based on the risk factors, the proposed model establishes the risk index system of the manufacturing industry and uses the expert evaluation method to design the scoring method of the evaluation index system. To ensure the accuracy of the evaluation results, the manufacturing industry’s fuzzy comprehensive model is established using the entropy weight method, and the expert evaluation results are modified accordingly. The experimental results show that the highest efficiency of the proposed method is 96%, the highest accuracy of the evaluation result is 75%. The evaluation result’s stability is higher than the other existing methods, which fully verifies the effectiveness and can provide a reliable theoretical basis for enterprise risk evaluation research.

3

Rok 2020 okiem ekspertów branży produkcyjnej

Świat Obrabiarek i Narzędzi

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2021

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R. 16, nr 1

18

4

Achieving cost efficiency through increased inventory leanness: Evidence from manufacturing industry

Mor Rahul S., Kumar Dinesh, Yadav Sarika, Jaiswal Swatantra K.

Production Engineering Archives

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2021

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Vol. 27, Iss. 1

42--49

EN

Inventory management’s fundamental problem starts with maintaining equilibrium among the operating efficiency, cost of investment, and other allied costs with extensive inventories to keep the actual conflicts at the minimum while optimizing the inventory holding levels. But, inventory management practices have not been well exploited in various manufacturing industries yet. In this study, inventory management tools, i.e., ABC and VED analysis, have been applied in the manufacturing industry, considering 146 items as raw material for an assembly. A total of 15 items under ‘AV’ class have been identified that consume 82.05 % of the total cost, and these items need strict control and frequent ordering. Sigma level of suppliers is also calculated, which comes out to be 2.36, and it must be improved to reduce the overall inventory cost.

5

The impact of managements’ unethical behavior on the organziational trust

Puspaningrum Astrid, Thongsri Nattaporn, Prabandari Sri Palupi

Polish Journal of Management Studies

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2020

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Vol. 21, No. 2

328--341

EN

The aim linked with the present study is to investigate the mediating role of experience of psychological contract violation on the relationship between unethical behaviors and trust. For this purpose, the study utilized the data of 179 operational managers of manufacturing industry of Thailand. The study applies structural educational modelling (SEM) approach for investigating the empirical results. Results of the study show that experience of psychological contract violation significantly mediates the negative relationship between unethical behaviors and trust. Formation of intentional relationships which increase the organizational restrictions has confirmed a challenging struggle for managers. There are some other problems faced by an organization, including the problems of trust, psychological contracts and the ethics and emerging area for researchers. Generally, there are some incidences in the organization for the study that is unwritten but exciting on the significant performance variables. Organization’s commitment regarding the contentment of their promises, known as a psychological contract, is one of the classifications that should be examined

PL

Celem związanym z niniejszym badaniem jest zbadanie mediacyjnej roli doświadczenia naruszenia psychologicznego umowy na związek między nieetycznymi zachowaniami a zaufaniem. W tym celu w badaniu wykorzystano dane 179 kierowników operacyjnych przemysłu wytwórczego Tajlandii. W badaniu zastosowano podejście do strukturalnego modelowania edukacyjnego (SEM) do badania wyników empirycznych. Wyniki badania pokazują, że doświadczenie naruszenia psychologicznego kontraktu istotnie pośredniczy w negatywnym związku między nieetycznymi zachowaniami a zaufaniem. Tworzenie intencjonalnych relacji zwiększających ograniczenia organizacyjne potwierdziło trudną walkę dla menedżerów. Istnieją inne problemy, z którymi boryka się organizacja, w tym problemy związane z zaufaniem, umowami psychologicznymi oraz etyką i pojawiającymi się obszarami dla badaczy. Zasadniczo w organizacji istnieją pewne przypadki, które są niepisane, ale ekscytujące w przypadku znaczących zmiennych wydajności. Zaangażowanie organizacji w spełnianie obietnic, zwane umową psychologiczną, jest jedną z klasyfikacji, które należy zbadać

6

Consistency of DMAIC phases implementation on Six Sigma method in manufacturingand service industry: a literature review

Trimarjoko Aris, Purba Humiras H., Nindiani Aina

Management and Production Engineering Review

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2020

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Vol. 11, No. 4

34--45

EN

High business competition demands business players to improve quality. The Six Sigma with DMAIC phases is a strategy that has proven effective in improving product and service quality. This study aims to find the consistency of DMAIC phases implementation and analyze the objective value in Six Sigma research. By using a number of trusted article sources during 2005 until 2019, this research finds that 72% research in manufacturing industry consistently implemented DMAIC roadmap especially in case study research type for problem-solving, while service industry pointed out the fewer number (60%). The causes of variations and defective products in the manufacturing industry are largely caused by a 4M 1E factor, while in service industry are caused by human behavior, and it’s system poorness. Both manufacturing & service industry emphasized standardization & monitoring to control the process which aimed at enhancing process capability and organization performance to increase customer satisfaction.

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Using robotic process automation (RPA) to enhance Item master data maintenance process

Radke Andreas M., Dang Minh Trang, Tan Albert

LogForum

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2020

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Vol. 16, no. 1

129--140

EN

Background: Manufacturing companies nowadays have to cope with ever-increasing speed and complexity to manage their global supply chain. Information flow manage the supply chain needs to be more accurate and real-time than ever before. Item master data management is no exception as well. This research demonstrates the potential benefits of applying robotic process automation (RPA) technology in master data management based on two companies in the manufacturing industry. Methods: The method approached by the research was a qualitative method, utilizing interpretation of data extracted from literature and semi-constructed interviews. Results: The article proposes a framework for RPA implementation in the master data managing process. Automation with software robots can greatly benefit the organization, namely: lower processing time, reduce human errors, lower operations cost, improved compliance level and higher data accuracy. Conclusions: With the objective to examine the benefits of RPA in master data management, the researchers have investigated 2 companies in the manufacturing industry to understand how they have benefited from RPA for item master data management processes. The result showed that RPA is affirmed to bring about many benefits for the organizations through structured automation. The researchers have proposed a framework for implementing RPA to capture item master data based on the change management model and the framework is separated in 3 phases involving important tasks in each phase. Future researches might use this study as a stepping stone for further studies in cognitive RPA, utilizing cognitive technology in combination with RPA technology with the mean to achieve a higher level of automation.

PL

Wstęp: Firmy produkcyjne działają obecnie w warunkach coraz większej kompleksowości zarządzania swoim łańcuchem dostaw. Przepływ informacji wspomagający zarządzanie łańcuchem dostaw musi być coraz precyzyjniejszy oraz odbywać się w czasie rzeczywistym. Zarządzanie danymi podstawowymi nie jest tu żadnym wyjątkiem. Praca przedstawia potencjalne zalety zastosowania technologii automatyzacji procesów RPA w zarządzaniu danymi podstawowymi na podstawie dwóch firm produkcyjnych. Metody: W pracy została zastosowana metoda jakościowa polegająca na interpretacji danych pochodzących z literatury fachowej oraz przeprowadzonych wywiadów. Wyniki: Wysunięto propozycję zastosowania zasad RPA w procesie zarządzania danymi podstawowymi. Automatyzacja w połączeniu z oprogramowaniem robotów wpływa pozytywnie na pracę przedsiębiorstwa poprzez skrócenia czasu obróbki, redukcję błędów ludzkich, obniżenie kosztów operacyjnych, podniesienie wzajemnej zgodności danych oraz większej ich dokładności. Wnioski: W celu określenia zalet zastosowania metody RPA w zarządzaniu danymi podstawowymi, zostały poddane analizie dwie firmy produkcyjne, które wdrożyły RPA w procesach zarządzania danymi podstawowymi. Otrzymane wyniki potwierdziły pozytywny wpływ wdrożenia automatyzacji. Zaproponowano model wdrożenia RPA oparty na modelu zarządzania zmianą i podzielony na trzy oddzielne etapy, z wyszczególnieniem zadań specyficznych dla każdego z tych etapów. Uzyskane wyniki mogą być zastosowane w dalszych pracach nad RPA.

8

Exploring quality generating factors in customer-supplier relationships

Rodríguez-López N., Diz-Comesaña M. E., Mondragón A. E. C.

Gospodarka Surowcami Mineralnymi

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2017

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T. 33, z. 4

157--176

EN

The analysis of interorganizational relationships continues to attract academic research because of the influence that management of supply chain relationships has in business competitiveness. However, there are almost no studies about this decision in the mineral products industry. The purpose of this study is to investigate customer-supplier relationships in the non-metallic mineral products mining and manufacturing industry in order to determine what relational forms enable achieving better business competitiveness and higher quality relationships. To carry out this research, we propose a cohesive model comprising variables to characterize the transactions, the forms of governance and both economic and relational results. The paper is based on a transactional framework; thus, the adoption of one or another form of governance is addressed through the length of the relationship, the transmission of information and the dependencies between the agents. As for the outcome, the quality of the relationship is highlighted because of its importance in business competitiveness. The relational quality is understood as the stability of the relationship or the importance given by the buyer to maintaining the relationship or relational commitment. The hypotheses generated are contrasted by a structural equation model in a sample of 293 Spanish companies. The results confirm the importance of past relationships and integrated forms to get better results. In this sense, managers should encourage trust and dependencies because they positively affect performance. Trust and dependencies determine the choice of a vertical form of governance, and these factors, along with information, intervene in the quality of business relationships. Thus, it is possible to say that forms of governance do have effects on the interrelations between the characteristics of the transactions and the business performance.

PL

Analiza powiązań międzyorganizacyjnych jest atrakcyjna dla badań naukowych ze względu na wpływ, jaki ma zarządzanie relacjami w łańcuchu dostaw na konkurencyjność przedsiębiorstw. Niemniej jednak, w decyzjach dotyczących przemysłu mineralnego nie ma prawie żadnych badań na ten temat. W artykule dokonano badań relacji między klientami a dostawcami w przemyśle górniczym i przetwórczym niemetalicznych surowców mineralnych w celu określenia, jakie formy relacyjne umożliwiają osiągnięcie lepszej konkurencyjności przedsiębiorstw i wyższe relacje jakościowe. W celu przeprowadzenia tych badań autorzy proponują spójny model, zawierający zmienne charakteryzujące transakcje, formy zarządzania oraz wyniki ekonomiczne i relacyjne. Artykuł oparty jest na ramach transakcyjnych; tym samym przyjęcie jednej lub innej formy zarządzania jest realizowane poprzez długość relacji, przekazywanie informacji i zależności między agentami. Jeśli chodzi o wynik to jakość relacji jest zaznaczona ze względu na jego znaczenie w konkurencyjności przedsiębiorstw. Jakość relacyjna jest rozumiana jako stabilność relacji lub znaczenie przekazane przez nabywcę do utrzymania relacji lub relacyjnego zaangażowania. Wygenerowane hipotezy są przeciwstawiane modelowi równości strukturalnych na próbie 293 hiszpańskich firm. Wyniki potwierdzają znaczenie wcześniejszych relacji i zintegrowanych form w celu uzyskania lepszych wyników. W tym znaczeniu, menedżerowie powinni zachęcać do zaufania i zależności, ponieważ wpływa to pozytywnie na wydajność. Zaufanie i zależności decydują o wyborze pionowej formy zarządzania, a te czynniki wraz z informacjami wpływają na jakość relacji biznesowych. Można zatem powiedzieć, że formy zarządzania mają wpływ na wzajemne powiązania między charakterystykami transakcji a wynikami działalności.

9

Wypadkowość w górnictwie - statystyka i skutki zdarzeń

Mianowana K., Rydzak L., Mianowana V.

Bezpieczeństwo Pracy i Ochrona Środowiska w Górnictwie

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2016

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nr 9

8--13

EN

For many years the mining and quarrying is among the most dangerous fields of human activity. This fact causes the need of analyze the causes and effects of this accidents. The article concerns the analysis of accidents occurred in the mining and quarrying, and is based on and statistical data and review of the literature. The aim is to show the number of accidents, to discuss of risks, causes and effects of dangerous events. It can lead to specify preventive measures.

PL

Od wielu lat górnictwo i wydobywanie wśród gałęzi gospodarki zajmuje czołowe miejsce pod względem narażenia na wypadki. Taka sytuacja uzasadnia potrzebę analizy przyczyn wypadków, a także ich skutków. W artykule dokonano więc analizy wypadków występujących w górnictwie i wydobywaniu na podstawie danych statystycznych oraz przeglądu piśmiennictwa. Jej celem było ukazanie ilości wypadków, omówienie zagrożeń, przyczyn oraz skutków niebezpiecznych zdarzeń, aby możliwe było sprecyzowanie działań prewencyjnych.

10

Product-Service Systems in a manufacturing company strategy - a review paper

Kozłowska J.

Ekonomia i Zarządzanie

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2015

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Vol. 7, no. 2

48--56

EN

Fierce competition among entrepreneurs, the process of global economy servicization and increasing customer demands force manufacturers to introduce new business models and new solutions such as Product-Service Systems (PSS). In this paper, the Product-Service Systems concept is reviewed, on the basis of the latest academic literature. The classification of PSS types is also presented. Benefits that accrue from systems of integrated products and services implementation, as well as barriers and challenges that a manufacturing company faces in this process, are indicated. The successfully applied Product-Service Systems in industrial sector firms at global market are also presented. The author made a review of research that have been conducted in recent years in many academic institutes worldwide.

11

Safety Management in Multiemployer Worksites in the Manufacturing Industry: Opinions on Co-Operation and Problems Encountered

Nenonen S., Vasara J.

International Journal of Occupational Safety and Ergonomics

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2013

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Vol. 19, No. 2

167--183

EN

Co-operation between different parties and effective safety management play an important role in ensuring safety in multiemployer worksites. This article reviews safety co-operation and factors complicating safety management in Finnish multiemployer manufacturing worksites. The paper focuses on the service providers' opinions; however, a comparison of the customers' views is also presented. The results show that safety-related co-operation between providers and customers is generally considered as successful but strongly dependent on the partner. Safety co-operation is provided through, e.g., training, orientation and risk analysis. Problems encountered include ensuring adequate communication, identifying hazards, co-ordinating work tasks and determining responsibilities. The providers and the customers encounter similar safety management problems. The results presented in this article can help companies to focus their efforts on the most problematic points of safety management and to avoid common pitfalls.

12

The literature review of Supply Chain performance measurement in the manufacturing industry

Sillanpää I., Kess P.

Management and Production Engineering Review

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2012

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Vol. 3, No. 2

79-88

EN

The article addresses the issues of Supply Chain (SC) performance measurement - the process of qualifying the efficiency and effectiveness of the supply chain. The aim of this study is to present a supply chain measurement approaches for manufacturing industry. The research is based on a review of the current understanding of supply chain management and literature related to supply chain performance measurement. This study creates a framework for supply chain measurement by presenting the main theory framework of supply chain performance measurement. It is stated that supply chain performance measurement is extremely important in developing supply chain. The measurement framework in this study offers guidelines for measuring the supply chain in manufacturing industry.

13

Functional importance of surface topography parameters

Pawlus P., Dzierwa A.

Zeszyty Naukowe Politechniki Rzeszowskiej. Mechanika

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2008

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z. 73 [253]

229-237

EN

The paper presents the review of research investigations concerning functional importance of different surface topography parameters. The results of own investigations are also taken into consideration. Four groups of parameters were analysed: amplitude, spatial, hybrid and connected with material ratio curve.