Search results

Prognostics and health management (PHM) can support product‐service systems (PSS) contracts, especially in the case of high technology products where their condition and performance can be monitored. The purpose of this paper is to investigate how PHM can support effective execution of some PSS contracts and to set out the future research agenda for the development of an online simulation modelling framework that will further harness the interaction between PHM and PSS.

The research methodology commenced by collating facts and figures from the existing body of knowledge, from which a set of key findings is presented from both technical and business perspectives. Analysis of the key findings highlights the current state of PHM‐PSS interaction, the capability of existing tools and techniques and a comprehensive analysis of PSS performances, with and without PHM.

Increased demand for total asset performance from the customers has been the main driver for PSS providers to adopt PHM technology. In the case of high value assets, PHM is used to capture the condition of the assets and to feed this information back to the PSS operations management which, in turn, will be used to plan a maintenance regime, spare parts provision, as well as to mitigate the dynamic behaviour which commonly occurs in PSS. Simulation modelling, driven by asset health condition, shows a considerable potential as an effective tool to control the execution of the PSS contract. In addition to the benefits from the maintenance services, the PHM‐PSS interaction can increase the controllability of the PSS contract execution and allow future modifications to PSS contracts.

The value of this paper lies in the comprehensive analysis of the interaction between PHM and PSS, especially focusing on the interaction during the PSS contract execution. This paper demonstrates the strengths and weaknesses of existing research in the research domain, and highlights the opportunities for future research.

This study aims to improve the reception and positioning of materials in the warehouse, as well as the internal logistics of a bus manufacturing company by acting upon the processes of supply line management.

This study is based on the action research methodology which, through a practical approach, intends to generate transferrable knowledge to other organizations whose situations are similar to that of this study. The practical actions and the knowledge acquired co-create the changes needed for the improvement processes.

Through these improvements, it is possible to standardize supply and eliminate the retention of picking carts on the line, simplify the management of materials provided in supermarket boxes, improve the control of materials and facilitate the process of picking and materials storage. A kanban card-based supply system was also expanded to the bus assembly line, allowing more control over valuable materials.

This study has demonstrated how the implementation of lean techniques on a bus assembly line can lead to increased consistency of supply to the line and improved working conditions, both in the production and warehouse areas. Furthermore, it has set a new standard of the internal logistics processes and the inclusion of process recording in the working instructions.

The objective of this study is to investigate how country risk, different political actions from the government and bureaucratic behavior influence the activities in industry supply chains (SCs) in emerging markets. The main objective of this study is to investigate the influence of these external stakeholders’ elements to the demand-side and supply-side drivers and barriers for improving competitiveness of Ready-Made Garment (RMG) industry in the way of analyzing supply chain. Considering the phenomenon of recent change in the RMG business environment and the competitiveness issues this study uses the principles of stakeholder and resource dependence theory and aims to find out some factors which influence to make an efficient supply chain for improving competitiveness. The RMG industry of Bangladesh is the case application of this study. Following a positivist paradigm, this study adopts a two phase sequential mixed-method research design consisting of qualitative and quantitative approaches. A tentative research model is developed first based on extensive literature review. Qualitative field study is then carried out to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. A survey is carried out with sample of top and middle level executives of different garment companies of Dhaka city in Bangladesh and the collected quantitative data are analyzed by partial least square-based structural equation modeling. The findings support eight hypotheses. From the analysis the external stakeholders’ elements like bureaucratic behavior and country risk have significant influence to the barriers. From the internal stakeholders’ point of view the manufacturers’ and buyers’ drivers have significant influence on the competitiveness. Therefore, stakeholders need to take proper action to reduce the barriers and increase the drivers, as the drivers have positive influence to improve competitiveness.

This study has both theoretical and practical contributions. This study represents an important contribution to the theory by integrating two theoretical perceptions to identify factors of the RMG industry’s SC that affect the competitiveness of the RMG industry. This research study contributes to the understanding of both external and internal stakeholders of national and international perspectives in the RMG (textile and clothing) business. It combines the insights of stakeholder and resource dependence theories along with the concept of the SC in improving effectiveness. In a practical sense, this study certainly contributes to the Bangladeshi RMG industry. In accordance with the desire of the RMG manufacturers, the research has shown that some influential constructs of the RMG industry’s SC affect the competitiveness of the RMG industry. The outcome of the study is useful for various stakeholders of the Bangladeshi RMG industry sector ranging from the government to various private organizations. The applications of this study are extendable through further adaptation in other industries and various geographic contexts.

This study aims to investigate the impact of I4.0 technologies and their interoperability on supply chains (SCs) performance and how the integration of such technologies and their interoperability can create pathways for SCs resilience post-COVID-19. This is of paramount importance in the context of COVID-19 as the investigation around I4.0 technologies may provide relevant insights on how SCs may better respond to unexpected situations like the current pandemic with the use of digital technologies.

A survey research method was designed based on some constructs extracted from the literature regarding the main disruptive technologies, interoperability, elements of supply chains processes (SCPs) performance such as integration, collaboration, transparency, efficiency, responsiveness and profitability. The data were collected from March to July 2020 from different regions of the world when the peak of the first wave of the pandemic had occurred. The survey resulted in 115 valid responses. The study used a combination of descriptive, correlation and multiple regression methods to analyse the data.

The study indicates that disruptive technologies significantly impact SCPs performance (integration, collaboration, responsiveness and transparency) and their resilience. The findings did not support the notion that these technologies improve the efficiency of SCs, a significant contrast to the existing literature. Our findings also refute the existing understanding that interoperability moderates the impact of disruptive technologies on SCPs performance and enhancing the resilience of SCs. However, the findings show that the integration of I4.0 technologies and their interoperability has a positive impact on SCPs profitability.

The findings strongly advocate that this integration plays an important role in improving SC performance, and a future pathway of SC resiliency post-COVID-19. Considering that the I4.0 trend will impact SCs in the coming years, this study brings a relevant contribution to researchers and practitioners.

This study makes a unique contribution by investigating a novel causal relationship between the main elements (I4.0 technologies, interoperability, processes performance and strategic outcomes) related to the SC in this new context.

The purpose of this paper is to unveil the circular economy (CE) values with an ultimate goal to provide tenets in a format or structure that can potentially be used for designing a circular, closed-loop supply chain and reverse logistics.

This is desk-based research whose data were collected from relevant publication databases and other scientific resources, using a wide range of keywords and phrases associated with CE, reverse logistics, product recovery and other relevant terms. There are five main steps in the reformulation of CE principles: literature filtering, literature analysis, thematic analysis, value definition and value mapping.

In total, 15 CE values have been identified according to their fundamental concepts, behaviours, characteristics and theories. The values are grouped into principles, intrinsic attributes and enablers. These values can be embedded into the design process of product recovery management, reverse logistics and closed-loop supply chain.

The paper contributes to the redefinition, identification and implementation of the CE values, as a basis for the transformation from a traditional to a more circular supply chain. The reformulation of the CE values will potentially affect the way supply chain and logistics systems considering the imperatives of circularity may be designed in the future.

The reformulation principles, intrinsic attributes and enablers of CE in this paper is considered innovative in terms of improving a better understanding of the notion of CE and how CE can be applied in the context of modern logistics and supply chain management.

This study investigates the enablers and challenges of digital supply chains (DSCs) adoption and develops a digital supply chain maturity (DSCM) model as a basis for developing guidelines for DSC adoption in the digital transformation journey.

The research involves a systematic literature review (SLR) of Industry 4.0 (I4) adoption in supply chain (SC) practices to identify key enablers and associated maturity levels. The literature search of published articles during the 1997–2020 period and subsequent screening resulted in 64 articles. A DSCM model was developed using the categorization of important enablers and associated levels transitioning from the traditional SC to the DSC ecosystem.

Four broader categories of DSC enablers and challenges were identified from the content analysis of SLR. Digital strategy alongside I4 technologies and human capital were prominent in DSC adoption as I4 technologies and human capital depend on other enablers such as dynamic capabilities (DCs). Lack of infrastructure and financial constraints to implementing I4 were significant challenges in the DSC adoption.

The proposed DSCM model provides a holistic view of enablers and maturity levels from traditional SC to DSC adoption. However, the DSCM model needs to be empirically validated and streamlined further using inputs from practitioners.

The proposed DSCM model can be used as a framework to guide practitioners in assessing maturity and developing implementation plans for successful DSC adoption.

This research introduces a novel DSC maturity model through a holistic view of enablers and maturity levels from traditional SC to DSC adoption.

Purpose: There have been continuous developments in the production industry to meet the increasing customer demand from the past to the present. At this point, supply chain management (SCM) systems emerge as an important topic. SCM is a set of systems that manages the entire process from the production of a product to its delivery to the end user. Industry 4.0 aims to improve the production industry by increasing the quality, efficiency, and performance of the production process. Therefore, in this chapter, the authors highlight the challenges, benefits, and future trends of the combination of Industry 4.0 and SCM systems.

Methodology: In this chapter, the integration of Industry 4.0 and SCM systems was investigated. For this purpose, the Industry 4.0 position of the countries and the current status of SCM systems have been examined. In addition, the key technologies in the Industry 4.0 transformation, the possible problems encountered in the transformation, the deficiencies encountered in SCM systems, and how these deficiencies can be solved with Industry 4.0 were investigated.

Findings: The results of this study show that companies that use an SCM system can separate themselves from their competitors by using Industry 4.0 technologies.

Significance: This can allow them to achieve their strategic goals and to ensure the maintenance of their competitive advantage.

Agri-food firms face many challenges when assessing and managing their performance. The purpose of this research is to determine important factors for an integrated agri-food supply chain performance measurement system.

This research uses the Peruvian kiwicha supply chain as a meaningful context to examine critical factors affecting agri-food supply chain performance. The research uses interpretative structural modelling (ISM) with fuzzy MICMAC methods to suggest a hierarchical performance measurement model.

The resulting kiwicha supply chain performance management model provides insights for managers and academic theory regarding managing competing priorities within the agri-food supply chain.

The model developed in this research has been validated by cooperative kiwicha associations based in Puno, Peru, and further refined by experts. Moreover, the results obtained through ISM and fuzzy MICMAC methods could help decision-makers from any agri-food supply chain focus on achieving high operational performance by integrating key performance measurement factors.

The purpose of this paper is to provide guidance for the management of supply chains in order to increase the likelihood of lean thinking being generally adopted for the purposes of value creation, and to examine the potential role of the customer in improving supply chain performance. This study aims to address the impact of lean thinking when it is used in supply chains, then to address the relevant factors needed to enhance the entire process of chain value creation.

A survey of extant studies in the Egyptian industrial sector is undertaken here, involving a questionnaire which was distributed to all managerial levels in all departments of a number of companies. This questionnaire is divided to two main sections. The first section considers the question of value creation, while the second is related to lean thinking.

The model which is presented here is intended to examine the nature of the relationship between lean thinking and value creation in supply chains. Consequently, it could help to enhance customer satisfaction, increase internal‐customer performance and provide innovative products.

The study is based on a sample of relatively limited geographical scope (in Egypt) and the duration of the survey is limited to one year. Future research could expand the geographical coverage to other parts of the world over a longer duration.

Internal resistance is more of a barrier than external (customer or supplier) resistance to lean thinking. Thus, organizations should focus first on internal (functional) integration, and then move on to inter‐organizational integration. Furthermore, people are often critical of the role of technology in implementing lean thinking.

Little empirical research has previously been carried out into the implementation of lean thinking. Practitioners and researchers should find value in this unique comparative study.