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Manufacturing outsourcing in the automotive industry in developed, developing, and transitional economies: A literature review with a focus on the Kyrgyz Republic

Adieva Ainura, Abilpeissov Kanash

Systemy Logistyczne Wojsk

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2025

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Vol. 62, no. 1

63--80

EN

Manufacturing outsourcing in the automotive industry has become a widely adopted strategy in both developed and developing countries, driven by the need to enhance competitiveness, reduce costs, and improve production efficiency. The research niche of this article is the comparative analysis of outsourcing strategies in automotive manufacturing, with a focus on technological, economic, and regional differences. The purpose of the article is to examine the current state of manufacturing outsourcing in the automotive sector, identify key trends and challenges, and develop strategic recommendations aimed at optimising its implementation in various economic contexts. The research hypothesis assumes that outsourcing, when properly managed and adapted to local conditions, can act as a catalyst for technological advancement and investment attraction. The methodology involved analytical, statistical, functional, deductive, comparative, and classification methods, enabling a systematic review of literature and data from developed (Germany, USA, Japan) and developing countries (China, India, Kyrgyzstan). The most significant results include the identification of regional outsourcing strategies, technological trends such as digitalisation and e-knowledge systems, and the challenges related to quality, regulation, and risk management. The study concludes that manufacturing outsourcing is a strategic tool with considerable potential for economic growth and innovation, but it requires carefully tailored approaches, strategic partnerships, and strong quality control to ensure sustainable development and successful implementation across different national contexts.

2

Trends in sustainable agricultural supply chain management

Bai Yan, Jiang Dongdong, Pretorius Leon

Polish Journal of Management Studies

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2025

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Vol. 31, No. 1

25--44

EN

Sustainability in Agricultural Supply Chains (ASC) is an emerging interdisciplinary field that has recently garnered increasing attention from scholars. This paper provides a comprehensive review of the current state of research in sustainable ASC based on an extensive analysis of Scopus and Web of Science databases. The study maps the research landscape by examining key aspects such as time distribution, journal trends, research fields, quantitative methods, and other bibliometric factors. The paper highlights research hotspots and identifies future trends, with a particular focus on (1) sustainable dimensions in ASC, (2) intelligent ASC, (3) the traceability of agricultural products, and (4) the role of e-commerce in enhancing agricultural product distribution. The novelty of this study lies in its systematic approach to bridging the gap between research on sustainable supply chain systems and ASC, areas that have been largely studied independently. By analyzing a broad range of studies, this paper provides an integrated perspective that fosters a deeper understanding of sustainable ASC systems. The results show a significant upward trend in publications, indicating growing scholarly interest in sustainable ASC. The study also reveals a gradual shift towards focusing on sustainable value chains as critical for food security. Additionally, the paper synthesizes various sustainable dimensions, mathematical models, and solution approaches for ASC management. This review proposes emerging research trends in sustainable ASC management and offers suggestions for future studies. It aims to stimulate a more comprehensive and interdisciplinary research agenda, particularly in the integration of sustainability, technology, and traceability within ASC.

PL

Zrównoważony rozwój w łańcuchach dostaw w rolnictwie (ASC) to nowa dziedzina interdyscyplinarna, która w ostatnim czasie cieszy się coraz większym zainteresowaniem naukowców. Niniejszy artykuł zawiera kompleksowy przegląd aktualnego stanu badań nad zrównoważonym ASC na podstawie obszernej analizy baz danych Scopus i Web of Science. W badaniu nakreślono panoramę badań, analizując kluczowe aspekty, takie jak rozkład czasowy, trendy w czasopismach, dziedziny badań, metody ilościowe i inne czynniki bibliometryczne. W artykule wskazano najistotniejsze obszary badań i zidentyfikowano przyszłe trendy, ze szczególnym uwzględnieniem (1) zrównoważonych wymiarów ASC, (2) inteligentnych ASC, (3) identyfikowalności produktów rolnych oraz (4) roli handlu elektronicznego w usprawnianiu dystrybucji produktów rolnych. Nowatorskość niniejszego badania polega na systematycznym podejściu do wypełnienia luki między badaniami nad zrównoważonymi systemami łańcuchów dostaw a ASC, obszarami, które dotychczas były badane w dużej mierze niezależnie. Dzięki analizie szerokiego zakresu badań niniejszy artykuł przedstawia zintegrowaną perspektywę, która sprzyja głębszemu zrozumieniu zrównoważonych systemów ASC. Wyniki wskazują na znaczący wzrost liczby publikacji, co świadczy o rosnącym zainteresowaniu naukowców zrównoważonymi ASC. Badanie ujawnia również stopniowe przesunięcie punktu ciężkości w kierunku zrównoważonych łańcuchów wartości jako kluczowych dla bezpieczeństwa żywnościowego. Ponadto w artykule zsyntetyzowano różne wymiary zrównoważonego rozwoju, modele matematyczne i podejścia do zarządzania ASC. W niniejszym przeglądzie zaproponowano nowe trendy badawcze w zakresie zrównoważonego zarządzania ASC oraz sugestie dotyczące przyszłych badań. Ma on na celu stymulowanie bardziej kompleksowego i interdyscyplinarnego programu badań, w szczególności w zakresie integracji zrównoważonego rozwoju, technologii i identyfikowalności w ramach ASC.

3

Modelling and analysis of blockchain implementation challenges in Indian agri-food supply chain management using the IMF-SWARA technique

Gupta Sumit, Ansari Hammad, Joshi Deepika, Gupta Rahul, Jagtap Sandeep, Prakash Surya, Mor Rahul

LogForum

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2025

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Vol. 21, no 3

405--418

EN

Background: India's agriculture and food sector is the backbone of the nation, sustaining a large portion of the population and contributing to global exports. Small and medium-sized enterprises (SMEs) generate the bulk of the world's food despite lacking adequate technological infrastructure and operational standards. This study identifies and evaluates the main blockchain challenges affecting food SMEs. The adoption of blockchain technology (BCT) in the agri-food supply chain offers numerous benefits, including improved supply chain performance, transparent information exchange, and reduced data tampering. Methods: This study examines the challenges encountered during the adoption of BCT and aims to highlight the factors that inhibit its implementation in the Indian agri-food supply chain (AFSC). Challenges were first identified through a literature review and then validated by a panel of five experts via a questionnaire survey. To prioritise these challenges, the Improved Fuzzy Stepwise Weight Assessment Ratio Analysis (IMF-SWARA) integrated with the Triangular Fuzzy Bonferroni Mean (TFBM) method was applied. Results: The identified challenges were evaluated using the integrated IMF-SWARA and TFBM approach. Lack of management commitment, negative perception of BCT, and high implementation costs emerged as the primary obstacles to BCT adoption in the Indian AFSC. Conclusion: Agriculture remains the foundation of livelihoods in India, with the nation still highly dependent on the sector, unlike Western countries. The research identified and prioritised the challenges of BCT implementation in the Indian agri-food supply chain using the integrated IMF-SWARA and TFBM approach. The findings are valuable for supply chain professionals and policymakers seeking to adopt blockchain technology. Furthermore, this research can be extended to explore blockchain challenges in specific functions such as procurement, warehousing, and distribution within the Indian agri-food industry. Future studies could employ more advanced multi-criteria decision-making (MCDM) fuzzy integrated approaches to analyse the data and enable more robust comparisons, thereby validating and complementing the results obtained through IMF SWARA and TFBN.

4

Self-managing teams as a way of improving supply chain management – theoretical considerations

Skowrońska Agnieszka

Gospodarka Materiałowa i Logistyka

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2025

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nr 1

14--26

EN

The content of the considerations that are the subject matter of the publication is focused on: identifying the specificity of supply chain management in the light of the characteristic features of these chains; presenting an approach to managing employee teams in a way implied by the specificity of supply chains and pointing to self-managing teams as a vital instrument for improving supply chain management in conditions of increasing variability and unpredictability of the environment. The conclusions resulting from the publication can be used not only for further empirical research on self-managing employee teams as a way of supporting supply chain management, but also as recommendations for micro- and metalogistics managers.

PL

Treść rozważań publikacji zorientowana jest na: identyfikację specyfiki zarządzania łańcuchami dostaw w kontekście cech charakterystycznych tych łańcuchów; zaprezentowanie podejścia do zarządzania zespołami pracowniczymi w sposób implikowany specyfiką łańcuchów dostaw oraz na wskazanie na samozarządzające zespoły jako istotny sposób usprawniania zarządzania łańcuchami dostaw w warunkach rosnącej zmienności i nieprzewidywalności otoczenia. Wnioski z rozważań niniejszej publikacji mogą zostać wykorzystane nie tylko do dalszych badań empirycznych nad samozarządzającymi zespołami pracowniczymi jako sposobem wspomagającym zarządzanie łańcuchami dostaw, ale także jako rekomendacje dla menedżerów logistyki skali mikro- i metalogistycznej.

5

Analysis of threats creating logistics barriers in the global supply chain

Bentyn Zbigniew, Konecka Sylwia

Gospodarka Materiałowa i Logistyka

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2025

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nr 1

65--76

EN

The purpose of this study is to present current research and deliver a new description of a logistic barrier, helping to assess challenges and sustain a flow in the supply chain. The resilience of the global supply chains against logistics barriers is a key factor for strategic management in conditions of the global economy. Moreover, preserving the resilience of the organizations participating in the supply chain is a prerequisite of Industry 5.0. During a global pandemic, operations in the global supply chain have met an unusual risk. However, since that time, a multitude of other risk factors have arisen. Analysis of many research reports reveals a negative effect of present factors like wars, political crises and continuity of operations of a global supply chain. The outcome of this study concludes that spatial distribution of manufacturing and distributive operations revealed a particular vulnerability of supply chains. Many areas of global supply chains suffer repetitive disturbances in everyday operations. Such cases may cause the creation of logistic barriers, posing a further challenge for logistic operators.

PL

Celem tego opracowania jest prezentacja aktualnych badań i przedstawienie na nowo pojęcia bariery logistycznej, pomagającego ocenić wyzwania i utrzymać przepływ w łańcuchu dostaw. Odporność globalnych łańcuchów dostaw na bariery logistyczne jest kluczowym czynnikiem zarządzania strategicznego w warunkach gospodarki światowej. Ponadto zachowanie odporności organizacji uczestniczących w łańcuchu dostaw jest warunkiem wstępnym wdrażania Przemysłu 5.0. Podczas pandemii operacje w globalnym łańcuchu dostaw zostały narażone na niespotykane dotąd ryzyko. Od tego czasu pojawiło się także wiele innych czynników ryzyka. Analiza raportów badawczych ujawnia negatywny wpływ obecnych czynników, takich jak wojny czy kryzysy polityczne, na ciągłość operacji globalnego łańcucha dostaw. Przeprowadzona analiza prowadzi do wniosku, że przestrzenne rozmieszczenie operacji produkcyjnych i dystrybucyjnych ujawnia szczególną podatność łańcuchów dostaw na zakłócenia. Tworząc bariery logistyczne, stanowią one dodatkowe wyzwanie dla operatorów logistycznych.

6

The Development and Future Challenges of China’s Furniture Industry

Fu Sijie, Xiong Xianqing, Wan Ruiying, Zhang Mei, Xu Xiutong

Drewno : prace naukowe, doniesienia, komunikaty

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2025

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Vol. 68, nr 215

Art. no. 199709

EN

The Chinese furniture business has experienced substantial transformation due to swift progress in materials, production, and supply chain technologies. This study comprehensively analyses China’s furniture sector’s current and future problems, emphasizing alignment with global sector 4.0 trends. The approach utilizes a combination of literature evaluation, trend analysis, and empirical research across five domains: materials, design, production, management, and supply chain. The results indicate swift progress in material innovation, design variety, intelligent production, and supply chain enhancement. Nonetheless, deficiencies persist in design innovation and brand development relative to the European furniture sector, especially in premium customization and technical advancement. Chinese furniture companies exhibit adaptability and localization benefits in global supply chains, enhancing their competitiveness; nonetheless, greater alignment with European counterparts is necessary regarding automation technology and environmental requirements. The research underscores disparities in the digital transformation of solid wood, aluminium, and bamboo rattan furniture, which hinder comprehensive technological advancement. Future advancement needs enhanced international cooperation and technological exchange to propel industrial development. Emphasizing sustainable methods and eco-friendly production is crucial to attaining high-quality development. This research presents a thorough framework for comprehending the industry's present condition and prospects, providing strategic direction for professionals and academics. It emphasizes the significance of cross-regional collaboration and dialogue in promoting global innovation and sustainability in the furniture sector.

7

Quantum computers in third-party logistic activity – genuine change or technological gimmick?

Kmiecik Mariusz, Skórnóg Damian

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2024

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z. 197

277--303

EN

Purpose: The objective of the conducted research is to respond to the investigative question related to delineating potential areas of 3PL (third-party logistics) activities that could be supported by quantum computing. Design/methodology/approach: This study focuses on the exploration and analysis of literature, utilizing both the SCOPUS database and Google Scholar, to identify potential application areas of quantum computers in the 3PL sector. The literature review is based on a systematic approach that includes defining the aim, selecting, and critically assessing existing materials, with particular focus on digitalization, security of information flow, external transport planning, warehousing, and VAS (Value-Added Services). Findings: The analysis has demonstrated that quantum computers hold the potential to significantly influence 3PL businesses, contributing to innovation and enhancing operational efficiency. Specifically, this technology can revolutionize aspects such as supply chain optimization, data security, warehouse management, and the creation of added value through advanced analytics and personalized services. Research limitations: The study encountered constraints related to access to comprehensive databases, which may have influenced the thoroughness of the literature review. Furthermore, the scarcity of literature focusing directly on the application of quantum computers within the 3PL context indicates a need for additional, more in-depth empirical research in this field. Value of the paper: This paper holds both theoretical and practical value, indicating potential innovations and competitive advantages that can be achieved in the 3PL sector through the application of quantum computers. The paper highlights not only opportunities but also challenges and possible directions for future research, providing a foundation for upcoming research initiatives that may contribute to the development and transformation of operational standards in third-party logistics. This article can inspire future research in the area of using quantum computers in external logistics activities.

8

Logistics in the process of enterprise management in conditions of the Covid-19 pandemic on the example of selected enterprises

Gąsowska Magdalena K.

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2024

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z. 191

159--177

EN

Purpose: The aim of the article is to analyze and assess the role of logistics in the process of enterprise management during the COVID-19 pandemic on the example of selected manufacturing, trade and service enterprises. Design/methodology/approach: The article is based on the study of literature and own empirical research. The results of own empirical research presented in the study constitute the effects of more extensive research on an in-depth analysis of the logistics process management in Polish manufacturing, trade and service enterprises in 2019-2021 in the context of shaping enterprise results. The research was conducted in 2022 among 335 randomly selected small, medium and large Polish manufacturing, trade and service enterprises. Findings: The results of the research show that the strategic and operational management of logistics processes within the enterprise and between entities which are the links in the supply chain increasingly determined the economic and market results of the best surveyed enterprises and the supply chains they created during the COVID-19 pandemic. Thanks to adequately applied logistics to the occurred conditions, the best surveyed enterprises responded quickly and appropriately to the effects of the pandemic and created and maintained the competitive advantage. The analyzed enterprises did not use the full potential of logistics processes to reduce the negative influence of the COVID-19 pandemic on their results. The research confirmed that logistics played an extremely important role in the process of enterprise management during the COVID-19 pandemic. Research limitations/implications: The article presents only selected aspects of logistics in the process of enterprise management of the surveyed enterprises during the COVID-19 pandemic. Practical implications: The article offers logistics managers practical suggestions on how to use logistics to achieve above-average economic and market results in conditions of a pandemic. Originality/value: The article fills the cognitive and empirical gap regarding logistics in the process of enterprise management during the COVID-19 pandemic.

9

Global or local - glocalization as a challenge for the modern supply chains management

Dymyt Małgorzata, Wincewicz-Bosy Marta Bianka, Skubisz Oskar

Systemy Logistyczne Wojsk

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2024

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Vol. 60, no.1

181--198

EN

This article focuses on issues of designing supply chains in the context of the spatial scope of operation, and dilemmas related to the choice between global and local activities. The research nich e of this article is the phenomenon of glocalization. The thesis statement that the authors attempted to confirm in the article is the assumption that the design and management of modern, resilient and adaptive supply chains requires combining a global approach, integrated at the international or global level, with an approach focused on the needs of local markets. The considerations are set in the pharmaceutical industry. The purpose of this paper is twofold. Firstly, identifying the challenges and directions of development of supply chain management and presenting the essence and role of glocalization, and secondly, defining the key factors for configuring supply chains in the pharmaceutical industry, especially in the context of glocalization. A qualitative research approach was used to solve the research problem, referring to the relevant literature in the field of supply chain management and the functioning of the pharmaceutical industry in Poland. The main conclusion concerns the statement that the design and management of modern, resilient and adaptive supply chains requires combining a global approach, integrated at the international or global level, with an approach focused on the needs of local markets. Glocalization in the pharmaceutical industry emphasizes that success on the global market requires the ability to flexibly and effectively respond to diverse and changing local contexts.

PL

W artykule skupiono się na zagadnieniach projektowania łańcuchów dostaw w kontekście przestrzennego wymiaru działania oraz dylematach związanych z wyborem pomiędzy działaniami globalnymi i lokalnymi. Niszą badawczą niniejszego artykułu jest zjawisko glokalizacji. Tezą, którą autorzy starali się potwierdzić w artykule, jest założenie, że projektowanie i zarządzanie nowoczesnymi, odpornymi i adaptacyjnymi łańcuchami dostaw wymaga połączenia podejścia globalnego, zintegrowanego na poziomie międzynarodowym lub globalnym, z podejściem skoncentrowanym na potrzebach rynki lokalne. W szczególności rozważania dotyczą przemysłu farmaceutycznego. Cel tego artykułu jest dwojaki. Po pierwsze, identyfikacja wyzwań i kierunków rozwoju zarządzania łańcuchem dostaw oraz przedstawienie istoty i roli glokalizacji, a po drugie, zdefiniowanie kluczowych czynników konfiguracji łańcuchów dostaw w branży farmaceutycznej, szczególnie w kontekście glokalizacji. Do rozwiązania problemu badawczego zastosowano jakościowe podejście badawcze, odwołując się do odpowiedniej literatury z zakresu zarządzania łańcuchem dostaw i funkcjonowania przemysłu farmaceutycznego w Polsce. Główny wniosek obejmuje stwierdzenie, że projektowanie i zarządzanie nowoczesnymi, odpornymi i adaptacyjnymi łańcuchami dostaw wymaga połączenia podejścia globalnego, zintegrowanego na poziomie międzynarodowym lub globalnym, z podejściem skoncentrowanym na potrzebach rynków lokalnych. Glokalizacja w branży farmaceutycznej podkreśla, że sukces na rynku globalnym wymaga umiejętności elastycznego i skutecznego reagowania na zróżnicowane i zmieniające się konteksty lokalne.

10

Influence of socio-demographic profiles on attitudes toward sustainability and digitalization in logistics and supply chains

Pavić Lazar, Obrecht Matevž, Rosi Maja

Polish Journal of Management Studies

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2024

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Vol. 30, No. 1

256--267

EN

This study examines the impact of socio-demographic factors on attitudes towards sustainability and digitalization in logistics and supply chain management. Since a significant gap was identified in this field, study explores how company size, industry sector, and workforce diversity influence strategic planning and operational efficiency within these pivotal sectors of global commerce. The main novelty of the research is to set the roles of technological readiness and knowledge-based factors in shaping organizational responses to sustainability challenges and digital transformation opportunities. By analyzing the correlation between socio-demographic profiles and technological adoption behaviors, the paper aims to provide insights that could help organizations tailor their strategic initiatives to better align with diverse stakeholder needs, enhancing operational efficiency and promoting sustainable practices. This study seeks to fill the gaps in current research by offering a detailed exploration of how sociodemographic diversity impacts the adoption of innovative technologies and sustainability measures within the logistics and supply chain sectors. Results revealed that gender, sector, work position and company size contribute to different understanding and prioritisation of sustainability topics. Managers and team leaders are more focused towards sustainability than the rest of employees and logistics and supply chain sector prefer digitalization over sustainability.

PL

Niniejsze badanie analizuje wpływ czynników socjodemograficznych na postawy wobec zrównoważonego rozwoju i cyfryzacji w zarządzaniu logistyką i łańcuchami dostaw. Zidentyfikowano istotną lukę w tym obszarze, dlatego badanie eksploruje, w jaki sposób wielkość przedsiębiorstwa, sektor działalności oraz różnorodność siły roboczej wpływają na planowanie strategiczne i efektywność operacyjną w tych kluczowych sektorach globalnego handlu. Główną nowością badania jest określenie roli gotowości technologicznej i czynników opartych na wiedzy w kształtowaniu reakcji organizacyjnych na wyzwania związane ze zrównoważonym rozwojem oraz możliwościami transformacji cyfrowej. Analizując korelację między profilami socjodemograficznymi a zachowaniami w zakresie przyjmowania nowych technologii, artykuł ma na celu dostarczenie wglądu, który pomoże organizacjom dostosować inicjatywy strategiczne do potrzeb różnych interesariuszy, poprawiając efektywność operacyjną i promując praktyki zrównoważone. Badanie to wypełnia luki w dotychczasowych badaniach, oferując szczegółową analizę wpływu różnorodności socjodemograficznej na wdrażanie innowacyjnych technologii i działań zrównoważonych w sektorach logistyki i łańcuchów dostaw. Wyniki pokazały, że takie czynniki jak płeć, sektor działalności, stanowisko pracy oraz wielkość firmy wpływają na różne rozumienie i priorytetyzację tematów związanych ze zrównoważonym rozwojem. Menedżerowie i liderzy zespołów koncentrują się bardziej na zrównoważonym rozwoju niż pozostali pracownicy, podczas gdy sektory logistyki i łańcuchów dostaw preferują cyfryzację nad zrównoważonym rozwojem.

11

Concept for an innovative screw coupling system production process

Szulc Samuel, Nowakowski Tomasz, Tomaszewski Franciszek, Motyl Mateusz, Komorski Paweł, Finke Szymon

Pojazdy Szynowe

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2024

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Nr 1-2

30--38

EN

The article presents the concept of an innovative approach to the production of a screw coupling system, a key element in rail vehicles. The use of ready-made components from various subsuppliers, combined with new quality control methods, offers an opportunity for a significant reduction in cost and production time while increasing the efficiency and flexibility of the process. Key stages of the production process are highlighted, from the selection of semifinished products, through quality control, to the final assembly and validation. The applied strategies can minimise waste, increase material efficiency, and have a positive impact on the environment. This study constitutes a significant contribution to the development of sustainable production in the railway industry, with an emphasis on organisational, process, and product innovations.

12

Supply chain resilience in the European Automotive industry

Britsche Andreas, Fekete Milan

Management Systems in Production Engineering

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2024

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nr 3 (32)

380--400

EN

The transformation of supply chains is an important factor for European Automotive OEMs to compete internationally. But it turns out that these are not as resilient as required. A resilient supply chain requires appropriate risk management measures that minimize internal and external influences. However, in some areas of value creation and supply chains, weaknesses are evident that are determined by a high dependence on international supplier markets. This approach to research in this area investigates whether Automotive OEM internal departments perceive certain risks differently. This was done by means of a survey of European OEMs to reveal different perceptions on important aspects of risk-based factors. Internal resilience would be necessary as a first step towards strengthening the supply chains in order to subsequently position themselves against stronger emerging competition from the Asian and US economies. This requires a strong European centering of supplier and partner networks, for example in the area of physical goods such as semiconductors and batteries. In order to support these necessary developments, networks are being established and promoted by the EU. GAIA-X and especially Catena-X are bases for the Automotive industry to adapt and optimize resilience and compliance regulations to governmental and intranational guidelines. As result of this research, it remains to be said that the realignment of supply chains must succeed in improving cooperation and delivery conditions across the entire OEM spectrum while at the same time reducing costs. In this way, the European Automotive market can be positioned as a resilient, strong market player for the future. The basic prerequisite for this is a uniform and coordinated view of risk-based factors in the individual companies and departments.

13

Blockchain in Enterprise Resource Planning Systems: A Comprehensive Review of Emerging Trends, Challenges, and Future Perspectives

Isbaih Sara, Al Noman Hassan, Aljarwan Abdalla, Al Owais Ibrahim, Yosry Ahmed, Bahroun Zied

Management Systems in Production Engineering

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2024

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nr 4 (32)

571--586

EN

This research paper conducts a systematic review of the integration of blockchain technology with Enterprise Resource Planning (ERP) systems, a burgeoning field at the intersection of advanced technology and business management. The primary objective is to bridge the knowledge gap by synthesizing existing literature, providing insights into the current state, challenges, and potential of blockchain in enhancing ERP systems. The study follows a structured methodology involving four key stages: Literature Retrieval, Literature Screening, Biblio-metric Analysis, and Content Analysis. A comprehensive literature search in the Scopus database resulted in the identification and analysis of 250 scholarly articles, narrowed down to 66 relevant publications. The findings highlight a significant trend towards decentralized ERP solutions, driven by blockchain’s promise of enhanced security, transparency, and efficiency. Key areas impacted by blockchain integration include supply chain management, accounting, security, traceability, purchasing, and process automation within ERP systems. The bibliometric analysis reveals a growing academic interest in this domain, with a focus on scalability, data security, and interoperability. However, the integration faces challenges such as technical complexity, cultural resistance, and regulatory uncertainties. The study concludes that while blockchain presents transformative opportunities for ERP systems, realizing this potential requires overcoming substantial technical and organizational hurdles. Future research should concentrate on developing scalable, interoperable blockchain solutions, tailored to specific industry needs and compliant with regulatory standards, thereby facilitating widespread adoption and maximizing the benefits of blockchain in ERP systems.

14

Synchronized Scheduling and Order Processing as the Leverageo f Digital Supply Chain Transformation Process

Mielcarek Paweł, Piekarczyk Anna

Management and Production Engineering Review

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2024

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Vol. 15, No. 4

1--11

EN

The aim of this article is to analyze and describe the relation between implemented new technologies and achieved effects of digital transformation process of the supply chains (DSC). The presented research covers seven technologies and solutions used for DSC, as compared with eleven effects of transformation process. Main finding of this paper is that for DSC transformation the most important technologies are synchronized scheduling (with mean of 3.993 in five-point scale) and flexible and dynamic order processing (mean of 3.986). Further more, both technologies showed highest correlations with the effects of DSC transformation process. Moreover, based on the results of factor analysis, we claim that only a decisive and comprehensive introduction of technologies related to the digital transformation of supply chains can give positive effects, while a partial implementation of DSC technologies may even worsen the company’s results. The presented research allows for a better understanding of the context that determines DSC transformation, especially in the case of applied technologies and achieved effects of operations, as well as complex interdependencies between analyzed items of each variable. The results can provide foundations for digital transformation strategy of supply chains.

15

Using MCDM methods to optimise machine learning decisions for supply chain delay prediction: a stakeholder-centric approach

Wyrembek Mateusz, Baryannis George

LogForum

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2024

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Vol. 20, no. 2

175--189

EN

Background: This study addresses challenges faced by supply chain stakeholders who lack expert knowledge in making decisions related to Machine Learning. It introduces a novel use of Multi-Criteria Decision-Making as an evaluation mechanism for different classifiers, aiding stakeholders in selecting appropriate Machine Learning models to predict supply chain delays. Methods: The proposed methodology involves applying classifiers (Decision Tree, Bagging, AdaBoost, Random Forest) and evaluating them using quantitative and qualitative metrics. MCDM methods (TOPSIS, MARCOS, COCOSO, MABAC) rank these Machine Learning models, facilitating accessible decision-making for stakeholders. A pharmaceutical industry case study is employed to validate the approach, utilizing Python for analysis. Results: The case study results confirm the effectiveness of the proposed approach, combining Multi-Criteria Decision-Making with Machine Learning in order to facilitate stakeholder decisions on suitable algorithms for predicting supply chain delays. The Random Forest classifier is identified as the most balanced option in the context of the case study, and a clear rationale can be provided in support of or against each option through the comparison of metrics, validating the approach's practical applicability and effectiveness. Conclusions: The combination of Multi-Criteria Decision-Making with Machine Learning provides a significant advancement in empowering stakeholders in supply chain management, particularly those lacking in-depth Machine Learning expertise. This approach enhances decision-making in model selection and has the potential to improve supply chain efficiency.

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The impact of adopting blockchain in the food supply chain: a scoping review

Hassan Muhammad Hamdi Che, Osman Lokhman Hakim

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2024

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Vol. 20, no. 3

323--337

EN

Background: Blockchain technology, which is identified as the top trend in next generation supply chain development, facilitates the distribution of products, increases organizational flexibility in the face of changing demand or supply situations, and boosts the efficiency of the supply chain. Blockchain technology is still in the process of being accepted by small and medium-sized organizations in the food supply chain. This has the effect of creating a gap between them and large organizations and slowing down the adoption of new technologies that can make organizations more efficient. The objective of this review is to produce a comprehensive mapping of the impact of blockchain on the food supply chain. Method: This scoping review of the literature was conducted using two databases, Web of Science (WoS) and Scopus, to identify the nature of the published scientific literature on this topic and the emerging themes related to blockchain in food supply chain studies. Result: This study found five main themes and eleven sub-themes in relation to blockchain technology in the context of the food supply chain. The main themes are Empowering Transparency, Optimizing Operations, Navigating Success, Cultivating Resilience, and Elevating Accountability. The review indicates that most of the studies seek to understand the impact of blockchain on the food supply chain. Conclusion: Several advantages, such as system workflow, management commitment, supply chain partners, supply chain disruption, and technology, are conferred on companies by blockchain technology. As a result, companies that adopt blockchain are able to achieve more efficient and effective results. The findings from this scoping review indicate that blockchain technology has a significant impact on the food supply chain. Therefore, organizations should consider blockchain technology as a platform for increasing efficiency. It also provides a comprehensive overview of how an organization can effectively manage its internal or external environment, making it more prepared to deal with any changes that may occur. This offers avenues for future research, as more comprehensive research is required to further investigate the effect of blockchain on food supply chain competitiveness in the context of SMEs.

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New approaches to modeling resilient decisions under deep uncertainty to manage the downstream supply chain

Bais Abdellah, Amechnoue Khalid

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2024

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Vol. 20, no. 2

227--242

EN

Background: The supply chain process has been widely modeled, especially with respect to the optimization of system performance. Recent years have highlighted the outbreak of many crises, such as the financial crisis of 2008, COVID-19, and the semiconductor shortage. The impact of such crises has become more challenging for manufacturers, particularly in the automotive industry. In this context, the present study was undertaken with the specific aim of providing an integrated approach for resilient decision-making under deep uncertainty (DMDU), especially in the downstream supply chain. Methods: The research is based on design science research (DSR) and case study methodologies. A design methodology was used to develop the framework. A case study is included to prove the pertinence of the framework. Results: The findings of this study demonstrate that the suggested comprehensive approach is helpful for companies and could help top management with strategic decision-making when customers decide to increase or decrease demand. This paper develops and models two approaches that help firms to manage and make resilient decisions when the supply chain is facing deep uncertainty, such as the bullwhip effect. Finally, the proposed models are implemented in a real-life case study within an automotive company to illustrate the applicability and efficacy of the proposed approach. Conclusions: To the best of our knowledge, this is the first study suggesting this approach. The paper is original and contributes towards sharing a new approach to understanding the supply chain within an uncertain context. As part of its contribution, the study draws attention to how managers and executors should integrate this approach into the global strategy of a company. Moreover, it explores some of the most complex variables that affect supply chain performance under high demand variation so it is possible to clearly show the risks associated with obsolete materials and products.

18

Lead time prediction using advanced deep learning approaches: a case study in the textile industry

Fri Mouhsene

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2024

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Vol. 20, no. 2

149--159

EN

Background: In supply chain management, consumers are increasingly sensitive to the delivery time and delivery reliability. Within the textile industry, which is characterized by elongated delivery times, the effective management of delivery timelines is imperative for the timely and trustworthy arrival of products on a global scale. Conventional methods of estimating delivery timelines, which are founded upon historical data, possess certain limitations in their ability to handle the intricacies inherent in contemporary textile manufacturing environments. The paper introduces an innovative deep learning model designed for predicting lead time delivery, with the anticipation that this predictive capability will produce a host of advantages. These benefits encompass heightened operational efficiency and elevated levels of customer satisfaction. Methods: To deal with these difficulties, this paper suggests employing deep learning approaches to predict the lead time in the textile industry. The utilization of historical production data obtained from manufacturing execution systems is leveraged for the purpose of training the models. This paper appraises the most advanced approaches in lead-time prediction, delineates a methodology for anticipating textile manufacturing outcomes, and examines the practicality of these methods through experimentation using real-world data. Results: The conducted research compares three advanced models of deep learning with a classical deep learning model. The three models under consideration are Eagle Strategy Slime Mould Algorithm - General Regression Neural Network (ESSMA-GRNN), Eagle Strategy Slime Mould Algorithm - Convolutional Neural Networks (ESSMA-CNN), and Eagle Strategy Slime Mould Algorithm - Generative Adversarial Networks (ESSMA-GAN), in the specific context of predicting lead-time in textile supply chain. The results demonstrate that the ESSMA-GRNN model exhibits high performance in terms of key evaluation measures, such as Mean Squared Error (MSE), Mean Absolute Error (MAE), R-squared, and Explained Variance, when compared to ESSMA-CNN and ESSMA-GAN. Improving the lead time prediction afforded decision-makers the opportunity to overcome delays and establish effective strategies for minimizing lead time. Conclusions: The study highlights the limitations of conventional lead-time estimation approaches and supports the implementation of sophisticated deep learning methods in the textile supply chain. This paper provides practical perspectives for production planners, underscoring the significance of utilizing advanced techniques to surmount the intricacies of the supply chain. The study concludes by proposing future research directions for lead-time prediction and optimization in the textile sector.

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Forging a sustainable path: unleashing collaborative innovation to expedite the integration of green technologies into supply chains

Chen Chao, Panichakarn Boonsub, Tseng Yafen

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2024

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Vol. 20, no. 2

133--147

EN

Background: The imperative for green innovation within global supply chains, driven by environmental concerns related to rapid industrialization, is widely recognized. Governments strategically integrate green innovation into economic plans to align growth with sustainability. However, complexities in adoption, such as relative advantage, compatibility, and government policies, remain. This study aims to comprehensively examine the adoption of green innovations within supply chains, addressing a notable gap in the existing literature. It focuses on elucidating the challenges associated with the adoption of green innovation within supply chains, emphasizing a proactive response to environmental challenges. Key factors, including relative advantage and compatibility, are explored in the context of challenges related to resource constraints and integration complexities. The study underscores the role of cooperative innovation in enhancing the attractiveness of green innovation adoption, with a crucial moderating influence attributed to government policies. Methods: A comprehensive literature review and quantitative research utilizing a questionnaire form the basis of this study. The research model evaluates factors influencing the willingness to adopt green innovations, encompassing external (government policy, competitive pressure), internal (collaborative innovation), and systemic factors (relative advantage, compatibility), with a specific focus on collaborative innovation. Structural Equation Modeling (SEM) using SPSS 26.0 and AMOS 25.0 was employed to identify directional influences in the analysis. Results: The findings of this study reveal that both relative advantage and compatibility have a direct impact on cooperative innovation, subsequently influencing adoption intention through the mediation of cooperative innovation. Moreover, the study highlights a moderating effect of government policy on the relationship between cooperative innovation and the intention to adopt green supply chain innovations. Conclusions: By integrating the Technology-Organization-Environment (TOE) theoretical framework into the Diffusion of Innovation (DOI) model, this study addresses critical gaps in research on organizational-level innovation adoption. The conclusions drawn, along with theoretical implications and managerial recommendations derived from the statistical results, contribute to fostering the implementation of green innovation in supply chain management.

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Enhancing supply chain resilience: RIME-clustering and ensemble deep learning strategies for late delivery risk prediction

Douaioui Kaoutar, Oucheikh Rachid, Mabrouki Charif

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2024

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Vol. 20, no. 1

55--70

EN

Background: Global supply chains are confronted with the challenge of ensuring on-time deliveries while simultaneously enhancing supply chain resilience. Conventional methods aim to address the complexities of modern supply chains, promoting the transition to intelligent and data-driven strategies. Methods: This research represents an innovative methodology for predicting the risk of late deliveries in supply chains. The presented framework combines clustering and multiclassification techniques, where the clustering phase is executed through hyperparameter optimization and a novel metaheuristic called RIME. In the multiclassification phase, five distinct deep learning models are employed, namely, Generative Adversarial Network (GAN), Convolutional Neural Network Long Short-Term Memory (CNN-LSTM), within Ensemble learning via bagging, Ensemble learning stacking, and Ensemble learning within boosting. The three ensemble learning models are based in GAN and CNN-LSTM. Result: This paper presents a systematic evaluation of diverse models in a risk of late delivery prediction framework. This evaluation demonstrates that Ensemble learning stacking provides the higher accuracy by 0.926, showcasing its prowess in precise predictions. Notably, Ensemble learning bagging and Ensemble learning boosting exhibit strong precision. Regression metrics reveal Ensemble learning stacking and Ensemble learning bagging's superior error minimization (MSE 0.11, MAE 0.09). This metric demonstrates that the proposed model can predict the risk level of late delivery in a supply chain with high precision. Conclusion: This paper introduces an innovative clustering and multiclassification-based framework for predicting the risk of late deliveries. The ability of prediction late deliveries risk helps organizations to enhance supply chain resilience by adopting a proactive management risks strategy, optimizing operational processes, and elevating customer satisfaction.