Prospects on Innovating Organizations

We aim to give the main rationale to create products and/or services in a state-of-mind associating every stakeholder in the frame of a reactive and networked organization. This implies a value-chain from basic research to users needs, the starting point being often fuzzy. The consequences upon the strategy of the firm's offer is analyzed as well from a quantitative point of view (accounting) than a qualitative one. Various forms of organizations are reviewed or suggested, including the kind of corresponding culture, the necessary data-bases and the importance of collaboration.reactive organization; collaborative work; teams; creativity: holistic attitude; fuzzy front-end; global supply; emergent strategy; collective intelligence; virtual enterprise; decision making; rank; peers

ZARZĄDZANIE RYZYKIEM ŁAŃCUCHA DOSTAW ZA POMOCĄ METODY MONTE CARLO

In this paper, the conceptual model of risk-based cost estimation for completing tasks within supply chain is presented. This model is a hybrid. Its main unit is based on Monte Carlo Simulation (MCS). Due to the fact that the important and difficult to evaluate input information is vector of risk-occur probabilities the use of artificial intelligence method was proposed. The model assumes the use of fuzzy logic or artificial neural networks – depending on the availability of historical data. The presented model could provide support to managers in making valuation decisions regarding various tasks in supply chain management.W artykule zaprezentowano przykład zastosowania hybrydowego systemu wspomagania decyzji w kontekście zarządzania ryzykiem w łańcuchu dostaw. Główny moduł sterownika bazuje na koncepcji symulacji Monte Carlo. Wektor danych wejściowych zawiera istotne informacje, których wyrażenie w postaci zmiennych ilościowych stanowi wyzwanie, w związku z czym zaproponowano użycie sztucznej inteligencji. W zależności od dostępności do danych historycznych, sterownik decyzyjny zastosuje sieci neuronowe lub logikę rozmytą. Zaprezentowane rozwiązanie może stanowić wsparcie dla menedżerów podczas podejmowania decyzji będących odpowiedzią na różnorodne ryzyka w obszarze zarządzania łańcuchem dostaw

Smart Master Production Schedule for the Supply Chain: A Conceptual Framework

[EN] Risks arising from the effect of disruptions and unsustainable practices constantly push the supply chain to uncompetitive positions. A smart production planning and control process must successfully address both risks by reducing them, thereby strengthening supply chain (SC) resilience and its ability to survive in the long term. On the one hand, the antidisruptive potential and the inherent sustainability implications of the zero-defect manufacturing (ZDM) management model should be highlighted. On the other hand, the digitization and virtualization of processes by Industry 4.0 (I4.0) digital technologies, namely digital twin (DT) technology, enable new simulation and optimization methods, especially in combination with machine learning (ML) procedures. This paper reviews the state of the art and proposes a ZDM strategy-based conceptual framework that models, optimizes and simulates the master production schedule (MPS) problem to maximize service levels in SCs. This conceptual framework will serve as a starting point for developing new MPS optimization models and algorithms in supply chain 4.0 (SC4.0) environments.The research leading to these results received funding from the European Union H2020 Program with grant agreements No. 825631 "Zero-Defect Manufacturing Platform (ZDMP)" and No. 958205 "Industrial Data Services for Quality Control in Smart Manufacturing (i4Q)", and from Grant RTI2018-101344-B-I00 funded by MCIN/AEI/10.13039/501100011033 and by "ERDF A way of making Europe".Serrano-Ruiz, JC.; Mula, J.; Poler, R. (2021). Smart Master Production Schedule for the Supply Chain: A Conceptual Framework. Computers. 10(12):1-24. https://doi.org/10.3390/computers10120156124101

通过商业模式选择机制克服工业企业数字化转型的障碍

The article describes the main barriers to digital transformation faced by industrial enterprises in various industries, such as: lack of appropriate funding, information security risks, insufficient digital skills of employees, insufficient maturity of current processes, internal resistance to change, insufficient awareness of managers, lack of certainty over the future of digital standards. To analyse the barriers, the author used a three-step approach, including a literature review, a primary research with representatives of the companies, and a qualitative comparative analysis that are based on the Kruskal – Wallis test and used to identify differences between groups of enterprises. To overcome the barriers identified by the author it was offered to use  a mechanism of a business model selection, which takes into account the assessment of obtained competitive advantages (improvement of operational, financial and technical efficiency), digital maturity (digital culture level, staff qualifications, the quality of business process organisation and access to digital infrastructure) and risks (non-receipt of expected income from business model implementation, information security, reputational and personnel). The novelty of the proposed business model selection mechanism for an industrial enterprise is to improve the classification and develop a multi-criteria mechanism for choosing a business model, which would be implemented using a knowledge-based system incorporating a fuzzy inference mechanism.В статье описаны основные барьеры цифровой трансформации, с которыми сталкиваются промышленные предприятия различных отраслей: отсутствие надлежащего финансирования, риски информационной безопасности, недостаточные цифровые навыки сотрудников, недостаточная зрелость текущих процессов, внутреннее сопротивление изменениям, недостаточная осведомленность руководителей, отсутствие определенности в отношении будущих цифровых стандартов. Для анализа барьеров автором был использован трехэтапный подход, включающий в себя литературный обзор, опрос представителей компаний и качественный сравнительный анализ с использованием критерия Краскела – Уоллиса для выявления различий между группами предприятий. В качестве инструмента преодоления выявленных барьеров автором предложен механизм выбора бизнес-модели с учетом оценки получаемых конкурентных преимуществ (улучшение операционной, финансовой и технической эффективности), цифровой зрелости (уровня цифровой культуры, компетенции кадров, качества организации бизнес-процессов и доступа к цифровой инфраструктуре) и рисков (неполучения ожидаемого дохода от внедрения бизнес-модели, информационной безопасности, репутационных и кадровых). Новизна предложенного механизма выбора бизнес-модели промышленного предприятия заключается в усовершенствовании классификации и разработке многокритериального механизма выбора бизнес-модели для промышленного предприятия, реализуемого с помощью системы, основанной на знаниях, с нечетким механизмом вывода.本文章介绍了不同行业的工业企业面临的数字化转型的主要障碍：缺乏足够的资助、 信息安全危险、员工的数字技能不足、目前的流程不够成熟性、变革的内部阻力、管理熟悉情况不足、对未来的数字标准缺乏确定性。为了进行障碍的分析，作者采用了一个三步法，包括：文学评论、公司代表者调查以及使用克鲁斯卡尔-沃利斯检验（Kruskal - Wallis test）进行定性比较分析，以确定各组企业之间的差异。作为克服所发现的障碍的工具，作者提出了一个考虑到对所获得的竞争优势（业务、财务和技术效率提高）的评估的选择商业模式的机制。该机制还考虑到了数字成熟度（数字文化、员工能力、业务流程组织的质量和数字基础设施的使用）和潜在风险（未能从商业模式的实施中获得预期收入、信息安全、声誉和人力资源风险）。提出的工业企业商业模式选择机制的新颖性在于改进了商业模式分类并开发了一个通过具有模糊推理机制的知识系统实现的多标准商业模式选择机制

Adaptation of domestic state governance to international governance models

The purpose of the article is to provide the evolving international trends of modern management models and authorial vision of model of state governance system in Ukraine, its subsystems, in particular, the system of provision of administrative services that is appropriate for the contemporary times. Methodology. On the basis of scientific and theoretical approaches to the definitions of terms “state governance” and “public governance”, there was an explanation of considerable difference between them and, taking into consideration, the mentality of Ukrainian society and peculiar weak side in self-organization, the authors offered to form authorial model of governance on the basis of historically traditional for Ukraine model of state governance and to add some elements of management concepts that proved their significance, efficiency and priority in practice. Results. The authors emphasized the following two prevailing modern management models in the international practice: “new state management” and “good governance”. The first concept offered for consideration served as a basis for the semantic content of state activity that reflects more the state of administrative reformation. Practical meaning. A practical introduction of management to the domestic model of governance creates the range of contradictions that do not allow implementing herein concept. Pursuant to authors, the second one allows in considerable measure to reform state governance, considering historically developed peculiarities of this model. Moreover, the involvement of concept herein into introduction of informational and communicational technologies in the process of governance eliminates the necessity of power decentralization, it allows to form real net structure and, at the same, to keep vertical power structure, to involve citizens for formation and taking of management decisions, to form electronic communicational channel of feedback, to provide citizens with electronic administrative services. All indicated advantages of the concept certify about the necessity to reform state governance exactly in this field. Meaning/ Distinction. This article raises a question about the significance of formation and sequence of state policy in Ukraine aimed at creating an information-oriented society, space, as well as informational and technological infrastructure

Net structure of subject-to-subject relations in the management of the system of administrative services provision

The purpose of the work is to form the net structure of management of the system of administrative services provision on the basis of implementation of subject-to-subject interactions between state sector and civil society. Methodology. The methodology basis for the investigation is the abstract-logical analysis of theoretical and methodological backgrounds for management of relations and interactions. For the theoretical generalization and formation of net structure, there are used scientific recommendations of Ukrainian scientists regarding the necessity to implement subject-to-subject relations in the system of administrative services provision. Results. The investigations allowed confirming that the hierarchical structure of the state governance system does not give an opportunity to implement equal interaction between a subject of provision and a subject of an appeal as these relations have one – way communication and the feedback channel has a formal character. Moreover, the civil society is not considered by state sector to be a source of methods and ways to develop the system of state governance, in particular, the management system of administrative services provision. Practical meaning. The net structure of management will allow implementing the subject-subject relations in the system, under which the actions of the subject of provision – that means state sector – will be directed to the realization of rights and interests of the subjects of appeal. In their turn, apart from the performance of all legislative responsibilities that they should perform, they can carry out activities directed to the development of management activity in the system of administrative services provision and the whole system of state governance as an integral system of management. Meaning/Distinction. The provided model of the net structure will allow involving citizens in the processes of state governance and increasing the impact of the civil sector during the making of state and management decisions and, as a result, to confirm subject-to-subject positions in the relations

A procurement adjustment strategy for FDI enterprises: A case study under the Belt and Road Initiative

This study combines international trade theories, purchase management theories and SWOT analysis together. Based on these theories, this study firstly finds the problems in multinational procurement management and then studies how multinational enterprises (MNEs) select their procurement strategy for the procurement of raw materials under the Belt and Road Initiative (BRI). Also, this study takes Group A as a case company to perform a detailed analysis on. Contributions of this study are as follows. Firstly, from the macro level, the current research is mainly about the purchasing behaviours and procurement management in MNEs especially the procurement management in MNEs. However, this study conducts a micro level analysis of a specific enterprise, taking Group A as a case study. Secondly, combined with the MNEs location choice and procurement management, this study analysed, in particular, the localised purchase management models. Thirdly, by taking Group A as an example, the author constructed a dynamic mechanism of its procurement management selection mode combined with corresponding data of raw material procurement costs. Fourthly, the study analysed the motivation of procurement management shifts and discusses the possible new growth engine of Chinese MNEs and the localisation selection of MNEs.Este estudo combina teorias referentes ao comércio internacional com as teorias de gestão de compras e a análise SWOT. Com base nessas teorias, este estudo investiga primeiramente os problemas na gestão de aquisições das empresas multinacionais e, em seguida, estuda como as EMNs selecionam a sua estratégia de aquisição para a compra de matérias primas tendo em consideração a Belt and Road Initiative (BRI). Além disso, esta tese toma o Grupo A como um exemplo para realizar uma análise detalhada. As contribuições deste estudo são as seguintes. Em primeiro lugar, as pesquisas existentes preocupam se, a um nível macro, com os comportamentos de compra e gestão de aquisições em empresas multinacionais. No entanto, este estudo conduz uma análise mais ao nível micro de uma empresa específica, tomando o Grupo A como um estudo de caso. Em segundo lugar, combinando a escolha da localização das EMs e a gestão de aquisições, este estudo analisa o modelo de gestão de compras. Em terceiro lugar, tomando o Grupo A como exemplo, o autor constrói um modelo dinâmico de seleção e gestão de compras combinando os dados correspondentes aos custos de aquisição de matéria prima. Em terceiro lugar, o estudo analisa a motivação das mudanças na gestão de compras e discute o possível motor novo de crescimento das empresas multinacionais chinesas e a seleção da localização das empresas multinacionais

Integration of e-business strategy for multi-lifecycle production systems

Internet use has grown exponentially on the last few years becoming a global communication and business resource. Internet-based business, or e-Business will truly affect every sector of the economy in ways that today we can only imagine. The manufacturing sector will be at the forefront of this change. This doctoral dissertation provides a scientific framework and a set of novel decision support tools for evaluating, modeling, and optimizing the overall performance of e-Business integrated multi-lifecycle production systems. The characteristics of this framework include environmental lifecycle study, environmental performance metrics, hyper-network model of integrated e-supply chain networks, fuzzy multi-objective optimization method, discrete-event simulation approach, and scalable enterprise environmental management system design. The dissertation research reveals that integration of e-Business strategy into production systems can alter current industry practices along a pathway towards sustainability, enhancing resource productivity, improving cost efficiencies and reducing lifecycle environmental impacts. The following research challenges and scholarly accomplishments have been addressed in this dissertation: Identification and analysis of environmental impacts of e-Business. A pioneering environmental lifecycle study on the impact of e-Business is conducted, and fuzzy decision theory is further applied to evaluate e-Business scenarios in order to overcome data uncertainty and information gaps; Understanding, evaluation, and development of environmental performance metrics. Major environmental performance metrics are compared and evaluated. A universal target-based performance metric, developed jointly with a team of industry and university researchers, is evaluated, implemented, and utilized in the methodology framework; Generic framework of integrated e-supply chain network. The framework is based on the most recent research on large complex supply chain network model, but extended to integrate demanufacturers, recyclers, and resellers as supply chain partners. Moreover, The e-Business information network is modeled as a overlaid hypernetwork layer for the supply chain; Fuzzy multi-objective optimization theory and discrete-event simulation methods. The solution methods deal with overall system parameter trade-offs, partner selections, and sustainable decision-making; Architecture design for scalable enterprise environmental management system. This novel system is designed and deployed using knowledge-based ontology theory, and XML techniques within an agent-based structure. The implementation model and system prototype are also provided. The new methodology and framework have the potential of being widely used in system analysis, design and implementation of e-Business enabled engineering systems

Hospital energy demand forecasting for prioritisation during periods of constrained supply

Purpose: Sustaining healthcare operations without adequate energy capacity creates significant challenges, especially during periods of constrained energy supply. This research develops a clinical and non-clinical activity-based hospital energy model for electrical load prioritization during periods of constrained energy supply. Design/methodology/approach: Discrete event modelling is adopted for development of the hospital energy model (HEM). The building block of the HEM is business process mapping of a hospitals clinical and non-clinical activities. The model prioritizes the electrical load demand as Priority 1, 2 and 3; Priority 1 activities are essential to the survival of patients, Priority 2 activities are critical activities that are required after one to four hours, and Priority 3 activities can run for several hours without electricity. Findings: The model was applied to small, medium, and large hospitals. The results demonstrate that Priority 2 activities have the highest energy demand, followed by Priority 1 and Priority 3 activities, respectively for all hospital sizes. For the medium and large hospitals, the top three contributors to energy demand are lighting, HVAC, and patient services. For the small hospital, it is patient services, lighting, and HVAC. Research limitations/implications: The model is specific to hospitals but can be modified for other healthcare facilities. Practical implications: The resolution of the electrical energy demand down to the business activity level enables hospitals to evaluate current practices for optimization. It facilitates multiple energy supply scenarios, enabling hospital management to conduct feasibility studies based on available power supply options Social implications: Improved planning of capital expenditure and operational budgets. Improved operations during periods of constrained energy supply, which reduces the risk to hospitals and ensures consistent quality of service. Originality/value: Current hospital energy models are limited, especially for operations management under constrained energy supply. A simple to use model is proposed to assist in planning of activities based on available supplyPeer Reviewe

Supply Chain

Traditionally supply chain management has meant factories, assembly lines, warehouses, transportation vehicles, and time sheets. Modern supply chain management is a highly complex, multidimensional problem set with virtually endless number of variables for optimization. An Internet enabled supply chain may have just-in-time delivery, precise inventory visibility, and up-to-the-minute distribution-tracking capabilities. Technology advances have enabled supply chains to become strategic weapons that can help avoid disasters, lower costs, and make money. From internal enterprise processes to external business transactions with suppliers, transporters, channels and end-users marks the wide range of challenges researchers have to handle. The aim of this book is at revealing and illustrating this diversity in terms of scientific and theoretical fundamentals, prevailing concepts as well as current practical applications