scholarly journals Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks – an Operational model

2021 ◽  
Author(s):  
Kostas Kalaboukas ◽  
Jože Rožanec ◽  
Aljaž Košmerlj ◽  
Dimitrios Kyritsis ◽  
Georgios Arampatzis
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Ad Hoc ◽  
Operational Performance ◽  
Manufacturing Companies ◽  
Key Factors ◽  
Operational Model ◽  
Supply Networks ◽  
Supply Chain Agility ◽  
Digital Twins

Supply chain agility and resilience are key factors for the success of manufacturing companies in their attempt to respond to dynamic changes. Circular economy, the need for optimized material flows, ad-hoc responses and personalization are some of the trends that require supply chains to become “cognitive”, i.e. able to predict trends and flexible enough in dynamic environments, ensuring optimized operational performance. Digital Twins (DTs) is a promising technology, and a lot of work is done on the factory level. In this paper, the concept of Cognitive Digital Twins (CDTs) and how they can be deployed in connected and agile supply chains is elaborated. The need for CDTs in the supply chain as well as the main CDT enablers and how they can be deployed under an operational model in agile networks is described. Emphasis is given on the modelling, cognition and governance aspects as well as on how a supply chain can be configured as a network of connected CDTs. Finally, a deployment methodology of the developed model into an example of a circular supply chain is proposed.

scholarly journals Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model

2021 ◽  
Vol 11 (9) ◽  
pp. 4103
Author(s):  
Kostas Kalaboukas ◽  
Joze Rožanec ◽  
Aljaž Košmerlj ◽  
Dimitris Kiritsis ◽  
George Arampatzis
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Ad Hoc ◽  
Operational Performance ◽  
Manufacturing Companies ◽  
Key Factors ◽  
Operational Model ◽  
Supply Networks ◽  
Supply Chain Agility ◽  
Digital Twins

Supply chain agility and resilience are key factors for the success of manufacturing companies in their attempt to respond to dynamic changes. The circular economy, the need for optimized material flows, ad-hoc responses and personalization are some of the trends that require supply chains to become “cognitive”, i.e., able to predict trends and flexible enough in dynamic environments, ensuring optimized operational performance. Digital twins (DTs) is a promising technology, and a lot of work is done on the factory level. In this paper, the concept of cognitive digital twins (CDTs) and how they can be deployed in connected and agile supply chains is elaborated. The need for CDTs in the supply chain as well as the main CDT enablers and how they can be deployed under an operational model in agile networks is described. More emphasis is given on the modelling, cognition and governance aspects as well as on how a supply chain can be configured as a network of connected CDTs. Finally, a deployment methodology of the developed model into an example of a circular supply chain is proposed.

scholarly journals Analysis of the agility of the automotive industry supply chain in times of COVID-19: a case study

2021 ◽  
pp. 112-120
Author(s):  
Fadoua Tamtam ◽  
Amina Tourabi
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Automotive Industry ◽  
Quality Function Deployment ◽  
Business Environment ◽  
Manufacturing Companies ◽  
Supply Chain Agility ◽  
Working Together ◽  
The Many ◽  
Fuzzy Quality Function Deployment

In the early stages of the corona virus pandemic, business environment was changing rapidly. The Moroccan automotive industry was one of the export sectors most affected negatively by the corona crisis; it collapsed during the three months of confinement and the pandemic has created immense uncertainties in demand and disrupted global supply chains. Indeed, to save the automotive industry, Morocco relies on its competitiveness and challenges current supply models for supply chain agility in order to better prepare for future disruptions. Achieving a competitive edge requires aligning company with suppliers and customers as well as working together to achieve agility, organizationally, strategically and individually. However, agile supply chains are the most powerful competitive vehicles of the manufacturing companies. To help automakers deal with the many challenges associated with the pandemic, let’s present this research on the key enablers that will need to be monitored as the situation evolves. Thus, our article presents an original approach which, by linking the competitive priorities, agile supply chain attributes and enablers, aims at evaluates and enhances supply chain agility of a Moroccan automotive factory. Let’s adopt fuzzy quality function deployment (FQFD) approach and, in particular, the two houses of quality (HOQ) with a fuzzy scale in order to identify the most appropriate enablers to be implemented by the factory. This evaluation demonstrates that there are three enablers needing maximum attention: process compliance, logistics and distribution capabilities and supportive information technology. Then, the supply chain agility improvement should be based on these enablers

scholarly journals Subnational mobility and consumption-based environmental accounting of US corn in animal protein and ethanol supply chains

2017 ◽  
Vol 114 (38) ◽  
pp. E7891-E7899 ◽  
Author(s):  
Timothy M. Smith ◽  
Andrew L. Goodkind ◽  
Taegon Kim ◽  
Rylie E. O. Pelton ◽  
Kyo Suh ◽  
...  
Keyword(s):  
United States ◽  
Supply Chain ◽  
Supply Chains ◽  
Environmental Impacts ◽  
Food System ◽  
The United States ◽  
Environmental Accounting ◽  
Animal Protein ◽  
Corn Production ◽  
Supply Networks

Corn production, and its associated inputs, is a relatively large source of greenhouse gas emissions and uses significant amounts of water and land, thus contributing to climate change, fossil fuel depletion, local air pollutants, and local water scarcity. As large consumers of this corn, corporations in the ethanol and animal protein industries are increasingly assessing and reporting sustainability impacts across their supply chains to identify, prioritize, and communicate sustainability risks and opportunities material to their operations. In doing so, many have discovered that the direct impacts of their owned operations are dwarfed by those upstream in the supply chain, requiring transparency and knowledge about environmental impacts along the supply chains. Life cycle assessments (LCAs) have been used to identify hotspots of environmental impacts at national levels, yet these provide little subnational information necessary for guiding firms’ specific supply networks. In this paper, our Food System Supply-Chain Sustainability (FoodS3) model connects spatial, firm-specific demand of corn purchasers with upstream corn production in the United States through a cost minimization transport model. This provides a means to link county-level corn production in the United States to firm-specific demand locations associated with downstream processing facilities. Our model substantially improves current LCA assessment efforts that are confined to broad national or state level impacts. In drilling down to subnational levels of environmental impacts that occur over heterogeneous areas and aggregating these landscape impacts by specific supply networks, targeted opportunities for improvements to the sustainability performance of supply chains are identified.

Benchmarking the triple-A supply chain: orchestrating agility, adaptability, and alignment

2019 ◽  
Vol 26 (1) ◽  
pp. 271-295 ◽  
Author(s):  
Javad Feizabadi ◽  
Michael Maloni ◽  
David Gligor
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Design Methodology ◽  
Comprehensive Model ◽  
Content Type ◽  
Supply Chain Agility ◽  
Resource Orchestration ◽  
Potential Benefits ◽  
Antecedents And Consequences ◽  
Comprehensive Framework

PurposeLimited research examines the triple-A supply chain of agility, adaptability and alignment. The purpose of this paper is to draw on extant literature under the lens of resource orchestration theory to develop a comprehensive framework of antecedents and consequences of triple-A supply chains, allowing both scholars and practitioners to benchmark and prioritize triple-A capabilities.Design/methodology/approachA systematic literature review focusing on four supply chain journals is conducted to integrate the distinct bodies of knowledge on supply chain agility, adaptability and alignment.FindingsThe integration of this literature identifies common and distinct antecedents and consequences of each, developing a comprehensive model of triple-A supply chains as well as proposing opportunities for further study.Originality/valueLimited studies to date have an integrated agility, adaptability and alignment, thus lacking a comprehensive framework of triple-A supply chains. Managers can use the findings to determine actions needed to deploy triple-A capabilities and better understand the resulting potential benefits.

An integrated AHP and ISO14000, ISO26000 based approach for improving sustainability in supply chains

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Faisal Talib ◽  
Saheim K Josaiman ◽  
Mohd. Nishat Faisal
Keyword(s):  
Supply Chain ◽  
Analytic Hierarchy Process ◽  
Supply Chains ◽  
Design Methodology ◽  
Multi Criteria Decision Making ◽  
Manufacturing Companies ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Hierarchy Process ◽  
Practical Implications

PurposeTypically, adoption of sustainability in organizations are often done in an unstructured way without the consideration of other partners in the supply chain. The purpose of this paper is to suggest a coherent plan to improve sustainability in the supply chains utilizing ISO standards for environment and social responsibility.Design/methodology/approachThis paper draws on literature on ISO14000 and ISO26000 to derive a set of variables applicable to supply chains, which are then prioritized for real organizations utilizing analytic hierarchy process.FindingsThe findings highlight that not all the variables of environmental, social and economic responsibility are equally important. Besides, the work reported in this paper justifies the application of multi-criteria decision-making (AHP) to prioritize elements of sustainability in context supply chains. The suggested method is illustrated using inputs from large manufacturing companies in Qatar.Practical implicationsISO14000 and ISO26000 are well known standards; however, there was no effort to integrate these standards to improve sustainability in supply chains. The suggested methodology provides invaluable help to the managers to implement sustainability in a coherent manner across the supply chain.Originality/valueThe research contributes to the extant literature by proposing a new methodology based on the integration of three-approaches: Analytic Hierarchy Process, ISO14000 and ISO26000 systems.

Exploring the consequences of judgmental and quantitative forecasting on firms' competitive performance in supply chains

2020 ◽  
Vol 27 (5) ◽  
pp. 1717-1737
Author(s):  
Reza Salehzadeh ◽  
Reihaneh Alsadat Tabaeeian ◽  
Farahnaz Esteki
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Structural Equation ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Supply Chain Performance ◽  
Manufacturing Companies ◽  
Competitive Performance ◽  
Content Type ◽  
Forecasting Methods

PurposeThe purpose of this study is to examine the impacts of different forecasting methods (judgmental, quantitative and mixed forecasting) on firms' supply chains and competitive performance.Design/methodology/approachWorking with three groups of manufacturing companies, we explore the consequences of judgmental, quantitative and mixed forecasting methods on firms' competitive performance in supply chains. The validity of constructs and path relationships was examined using structural equation modeling (SEM).FindingsOur findings indicate that supply chain efficiency influences both cost reduction and customer satisfaction. In addition, the three dimensions of supply chain performance are shown to be direct antecedents of competitive performance. Our empirical results reveal that although all studied forecasting methods meaningfully influence supply chain performance, the mixed method, compared to the other two methods, has greater capabilities to enhance supply chain performance.Originality/valueThis research provides originality and insight into supply chain practices through forecasting methods to improve competitive performance.

scholarly journals A multi-agent based system with big data processing for enhanced supply chain agility

2016 ◽  
Vol 29 (5) ◽  
pp. 706-727 ◽  
Author(s):  
Mihalis Giannakis ◽  
Michalis Louis
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Semantic Web ◽  
Supply Chains ◽  
Multi Agent Systems ◽  
Content Type ◽  
Agent Based ◽  
Agent Systems ◽  
Supply Chain Agility ◽  
Multi Agent

Purpose Decision support systems are becoming an indispensable tool for managing complex supply chains. The purpose of this paper is to develop a multi-agent-based supply chain management system that incorporates big data analytics that can exert autonomous corrective control actions. The effects of the system on supply chain agility are explored. Design/methodology/approach For the development of the architecture of the system, a sequential approach is adopted. First three fundamental dimensions of supply chain agility are identified – responsiveness, flexibility and speed. Then the organisational design of the system is developed. The roles for each of the agents within the framework are defined and the interactions among these agents are modelled. Findings Applications of the model are discussed, to show how the proposed model can potentially provide enhanced levels in each of the dimensions of supply chain agility. Research limitations/implications The study shows how the multi-agent systems can assist to overcome the trade-off between supply chain agility and complexity of global supply chains. It also opens up a new research agenda for incorporation of big data and semantic web applications for the design of supply chain information systems. Practical implications The proposed information system provides integrated capabilities for production, supply chain event and disruption risk management under a collaborative basis. Originality/value A novel aspect in the design of multi-agent systems is introduced for inter-organisational processes, which incorporates semantic web information and a big data ontology in the agent society.

Performance management process integration in retail supply chains

2015 ◽  
Vol 43 (7) ◽  
pp. 652-670 ◽  
Author(s):  
Helena Forslund
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Performance Management ◽  
Process Integration ◽  
Management Process ◽  
Manufacturing Companies ◽  
Affecting Factors ◽  
Content Type ◽  
Management Processes ◽  
Retail Supply Chains

Purpose – The purpose of this paper is to explore and generate propositions of factors that affect the degree of performance management process integration in retail supply chains. Design/methodology/approach – The performance management processes of two retail supply chains were explored and their degree of process integration was classified. Differences in the degree of performance management process integration and affecting factors lead to the generation of five propositions. Findings – Dependence, brand importance, business process integration, performance demand and the existence of a performance management standard seem to be positively related to the degree of performance management process integration in the relation. Both factors that affect process integration in general and performance management process integration specifically are included. Some insights on integration in a vertically integrated retail chain were provided. Research limitations/implications – This study has specified the knowledge in process integration to the performance management process and expanded it into a retail context. It has generated a number of propositions on factors that affect the degree of performance management process integration, including a factor that was not found in previous research on manufacturing supply chains. The contribution to process integration theory is however limited until the propositions are validated in a broader study. Practical implications – Knowledge in affecting factors is useful when “performance management managers” need to communicate integration ambitions with other managers within and outside their own company. The detailed descriptions of performance management processes and integration practices can serve as inspiring benchmarks, as in the daily groceries supply chain, where the industry standard is especially interesting. They can also indicate practices to avoid, as in the home textiles supply chain. Another managerial take-away is the need to handle each relation, manufacturer-wholesaler and wholesaler-retailer store, with their specific affecting factors in specific ways. Originality/value – Previous knowledge on performance management process integration is mainly based on manufacturing companies. This study expands existing knowledge into a retail context.

scholarly journals Supply Chain Management and Operational Performance in Nigeria: A Panel Regression Model Approach

2017 ◽  
Vol 5 (2) ◽  
pp. 66-77
Author(s):  
P. B. Shobayo
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Random Effect ◽  
Random Effect Model ◽  
Operational Performance ◽  
Manufacturing Companies ◽  
Chain Flexibility ◽  
Chain Management ◽  
Secondary Sources ◽  
Ex Post

Abstract The research examined the effect of supply chain management on firm’s operational performance in Nigeria manufacturing companies with specific interest on supply chain strategy and supply chain flexibility. A random effect model was developed to examine whether there is a significant effect on the variables identified, and the level of significance that exist in the variables. This study adopts an ex post-facto type of descriptive research design using Secondary sources to generate the data. The data were gathered from the annual report of manufacturing companies between 2011 and 2016. Findings revealed that supply chain management does not have a significant overall effect on operational performance at Prob value =0.343 which is above the sig. level of <.005, and the magnitude of variation which supply chain management cause on operational performance is 7.6% for all the companies samples which is significantly low. Hence, it is recommended that the management of a company’s supply chain do not necessarily affect their operations; thus organizations can adopt a combination of strategies and flexibilities in their level of operation.

scholarly journals The management of Supply Chains in Cienfuegos

2017 ◽  
Vol 16 (1) ◽  
Author(s):  
Gretel Martínez-Curbelo ◽  
Michael Feitó-Cespón ◽  
Gilberto Guillermo González-Hernández
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Customer Service ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Administrative Staff ◽  
Key Factors ◽  
Corporate Sector ◽  
Relationship Of ◽  
The Relationship

This research studies the perception of managers about the relationship of key factors in the management of supply chains and the performance of companies, through the development of a set of structural equation models. The data is obtained from the opinion of the administrative staff of different companies in the corporate sector in Cienfuegos. It is used for this, a survey designed in which the customer service approach, integration and collaboration are measured as key factors of success in the performance of the supply chain. The results show that the majority of respondents do not perceive the importance of collaboration to improve the results in their companies; However, they point out the relevance of the client approach in the management of their organizations.Esta investigación estudia la percepción de los gerentes acerca de la relación de factores claves en la gestión de las cadenas de suministro y el rendimiento de las empresas, a través del desarrollo de un conjunto de modelos de ecuaciones estructurales. Los datos se obtienen a partir la opinión del personal administrativo de diferentes empresas del sector corporativo en Cienfuegos. Se utiliza para ello, una encuesta diseñada en la que se mide el enfoque de servicio al cliente, la integración y la colaboración como factores clave de éxito en el rendimiento de la cadena de suministro. Los resultados demuestran que la mayoría de los encuestados no perciben la importancia de la colaboración para mejorar los resultados en sus empresas; sin embargo hacen notar la relevancia del enfoque al cliente en la gestión de sus organizaciones.Esta pesquisa estuda as percepções dos gerentes quanto ao relacionamento de fatores-chave no gerenciamento da cadeia de suprimentos e desempenho da empresa através do desenvolvimento de um conjunto de modelos de equações estruturais. Os dados são obtidos a partir da opinião do pessoal administrativo de diferentes empresas do setor corporativo em Cienfuegos. Para o efeito, é elaborada uma pesquisa que mede o atendimento ao cliente, a integração e a abordagem de colaboração como fatores-chave de sucesso no desempenho da cadeia de suprimentos. Os resultados mostram que a maioria dos entrevistados não percebe a importância da colaboração para melhorar os resultados em suas empresas; mas eles observam a relevância do foco do cliente no gerenciamento de suas organizações. 

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