Service Supply Chain Management Research Articles

Barriers to integrated lean management-industry 4.0 technologies

Lean management is a well-known manufacturing and service supply chain management philosophy. The various industry 4.0 technologies have also received enough attention because of their capabilities and initiated a debate among practitioners and academicians on integrating both paradigms. Despite the potential benefits estimated in many research studies and reports, the implementation status could be more encouraging in organisations. Therefore, in this study, all potential barriers are identified and analysed. These barriers were identified from existing literature and finalised with the help of experts. Further, ‘Interpretive Structure Modeling (ISM)’ was used to reveal their contextual relationship. Finally, the ‘Analytic Network Process (ANP)’ ranked the key barriers based on their importance. The results revealed that ‘lack of skilled and experienced workers’ and ‘lack of government policies’ are the most critical barriers. Based on the study’s outcomes, policymakers could make a more effective strategy to address these critical barriers. Additionally, organizations can adapt the proposed hybrid approach to address the barriers more effectively.

Green Service Supply Chain Management (GSSCM) Mediates the Relationship between Management Information Systems (MIS) and Organizational Performance (OP) for Enhancing the Community Health

Green Service Supply Chain Management (GSSCM) Mediates the Relationship between Management Information Systems (MIS) and Organizational Performance (OP) for Enhancing the Community Health

FUTURE-PROOFING LOGISTICS: AN EMPIRICAL INSIGHTS ON INNOVATION-DRIVEN LOGISTICS SERVICE PROVIDERS PERFORMANCE

Logistics service providers (LSPs) are a significant individual in supply chain management services. The escalating competitive pressures are placing considerable strain on LSP particularly those operating at the local level, as competition arises from both domestic and international. It becomes crucial for LSP to enhance their performance by aiming for growth and long-term sustainability in this industry. Thence, this study explores the direct influence of logistics service capacity on LSP performance, as well as the mediation influence of innovation linking logistics service capability to logistics performance. This study involved the participation of 127 LSP through survey methodology in Malaysia. The study employed Structural Equation Modelling (SEM) using Partial Least Squares (PLS) estimation to examine and test the hypotheses posited in this study. The results provide valuable understandings for LSPs to enhance their logistics services in alignment with highest performance and customer satisfaction. The findings also show that innovation failed to connect the model of logistics performance The findings are necessary to establish a reliable policy in attaining better logistics performance especially during unprecedented situation. This study extends the degree of knowledge regarding logistical performance during the COVID-19 epidemic and to the innovation as mediation to attain performance in logistics field.

Innovation for zero-deforestation sustainable supply chain management services: a performance measurement and management approach

PurposeFood sector supply chains have significant negative environmental impacts, including the expansion of global food commodity production, which is driving tropical deforestation – a major climate and biodiversity problem. Innovative supply chain monitoring services promise to address such impacts. Legislation also designates “forest-risk commodities”, demanding supply chain due diligence of their provenance. But such data alone does not produce change. This study investigates how theory in performance measurement and management (PMM) can combine with sustainable supply chain management (SSCM) and decision theory (DT) via case study research that addresses paradoxes of simplicity and complexity.Design/methodology/approachGiven existing relevant theory but the nascent nature of the topic, theory elaboration via abductive case study research is conducted. Data collection involves interviews and participatory design workshops with supply chain actors across two supply chains (coffee and soy), exploring the potential opportunities and challenges of new deforestation monitoring services for food supply chains.FindingsTwo archetypal food supply chain structures (short food supply chains with high transparency and direct links between farmer and consumer and complex food supply chains with highly disaggregated and opaque links) provide a dichotomy akin to the known/unknown, structured/unstructured contexts in DT, enabling novel theoretical elaboration of the performance alignment matrix model in PMM, resulting in implications for practice and a future research agenda.Originality/valueThe novel conceptual synthesis of PMM, SSCM and DT highlights the importance of context specificity in developing PMM tools for SSCM and the challenge of achieving the general solutions needed to ensure that PMM, paradoxically, is both flexible to client needs and capable of replicable application to deliver economies of scale. To advance understanding of these paradoxes to develop network-level PMM systems to address deforestation impacts of food supply chains and respond to legislation, a future research agenda is presented.

The Use of Material and Supply Chain Management and Service Organization to Reduce Inventory Levels While Providing Adequate Service to Customers

In the dynamic landscape of service organizations, effective Material and Supply Chain Management (MSCM) plays a pivotal role in achieving operational efficiency, cost reduction, and superior customer service. This research paper delves into the strategic application of MSCM practices to streamline inventory management processes within service-oriented industries, emphasizing the delicate balance between minimizing stock levels and meeting customer service expectations. The research aims to explore the various methodologies and technologies employed in service organizations to enhance material and supply chain operations. Emphasis will be placed on understanding how advanced technologies, data analytics, and automation contribute to minimizing excess inventory while concurrently ensuring prompt and satisfactory customer service. Key areas of investigation include the adoption of just-in-time inventory systems, demand forecasting models, and supplier relationship management strategies. The paper will critically assess case studies and industry best practices to draw insights into successful MSCM implementations and their impact on inventory levels, service quality, and overall organizational performance. Furthermore, the study will address challenges associated with implementing MSCM in service organizations, such as the inherent variability in service demand, the importance of real-time data integration, and the role of collaboration between various stakeholders within the supply chain. The anticipated outcomes of this research include providing service organizations with a comprehensive understanding of the benefits, challenges, and strategic considerations associated with adopting robust MSCM practices. The findings aim to contribute valuable insights to both academia and industry professionals seeking to optimize their material and supply chain processes for improved inventory management and enhanced customer service delivery. International Journal of Scientific Research in Engineering and Management (IJSREM) Volume: 08 Issue: 01 | January - 2024 SJIF Rating: 8.176 ISSN: 2582-3930 © 2024, IJSREM | www.ijsrem.com DOI: 10.55041/IJSREM28288 | Page 2 Keywords:Material and Supply Chain Management (MSCM),Service organizations,Inventory optimization,Customer service,Just-in-time inventory,Demand forecasting,Supplier relationship management

The Practice of Healthy Elderly Service Innovation Model Based on Data Analytics

Abstract With the gradual deepening of China’s aging population, the status quo of “getting old before getting rich” has brought great challenges to the problem of elderly care. In this paper, we take the supply chain management of elderly services as the core and optimize the service cost and service quality through a two-layer planning model to obtain the best decision-making scheme. A particle Swarm Algorithm (PSO) is proposed to solve the model with intelligent evolution, and an incentive mechanism is established on the basis of the senior care supply chain, which maximizes its revenue by relying on the contract. Finally, by improving the SCORE model, data analysis and dynamic simulation of the senior care service supply chain can be carried out. The results show that the supply chain of senior care service reaches the optimization when the ratio of the capital input of community, institution and home is 0.2:0.2:0.6, and its equilibrium ratio stabilizes at about 96.0%:4%, which effectively alleviates the current pressure of senior care service. This study realizes the coordination of information and interests in the supply chain of community senior care service, which is of great practical significance for the innovation of healthy senior care service.

An evolutionary supply chain management service model based on deep learning features for automated glaucoma detection using fundus images

Glaucoma, a multifaceted eye condition, poses a high risk of vision impairment. Initially, most automated approaches segment the primary system and assess the clinical measurements to classify and screen for glaucoma. The proposed customized convolutional neural network (CNN) model for automated glaucoma detection, built using deep learning techniques, can assist many stakeholders in the supply chain management network. These stakeholders may include eye hospitals, healthcare service providers, doctors, ophthalmologists, patients, insurance companies, etc. The deployed model comprises four learnable layers, i.e., three convolution layers and a flattened layer. The customized CNN model learned the deep features with the least number of tunable parameters. Subsequently, a combined feature reduction strategy called principal component analysis (PCA) and linear discriminant analysis (LDA) to reduce the dimensions of feature sets. Finally, a classification is carried out by utilizing an extreme learning machine (ELM). The hidden node parameters of ELM are optimized with the help of the modified particle swarm optimization (MOD-PSO) technique. The generalized performance of the proposed model has been enhanced by employing 5-fold stratified cross-validation. The proposed model deployed on two standard datasets, G1020 and ORIGA. The experimental results show that the proposed computer-aided diagnosis (CAD) model achieves an accuracy of 97.80% and 98.46% on the G1020 and ORIGA datasets, respectively. The customized CNN model outperforms as compared to other state-of-the-art models with a significantly less number of features and could help the decision-makers of supply chain management networks.

Понятие, признаки и особенности использования инновационных видов транспортно-логистических услуг

Purpose: The scientific article presents the results of the analysis of the characteristics and main trends in the use of innovative technologies in the formation of transport and logistics services. The relevance of the study is determined by the stage of digital transformation and development of innovative technologies, the results of which contribute to the formation and dissemination of innovative types of transport and logistics services. Methods: Subject-object, structural-functional approaches, methods of system analysis, comparative methods, statistical methods of research are applied in the work. The information base for the study of scientific work consists of reports and publications of the Federal State Statistics Service, materials from periodicals and the scientific platform elibrary.ru. Results: The paper considers the main factors stimulating the development of innovative types of transport and logistics services. Their characteristics and features of use are determined. The positive aspects and benefits of the development of innovations in the field of transport logistics are analyzed. The main problems and difficulties in the use of innovative types of transport and logistics services are considered. Examples of innovative technologies that are used to improve transport logistics services are given. An algorithm for creating a technological cluster of the transport and logistics system in Russia is proposed. Practical significance: The scientific article shows that modern companies face the importance of making decisions aimed at improving the strategic management of transport logistics. For them, changes are important to optimize the transport and logistics strategy and focus on creating new supply chains. Only in this way is it possible to ensure conditions within the business development organization during the period of external turbulence and logistical crisis. Digital transformation in transport logistics provides an increase in the economic efficiency of the logistics activities of organizations, reducing costs and improving the quality of supply chain management services. Given the rapid development of high technologies, the digitalization of the transport and logistics system will only accelerate.

Understanding public service supply chain management: a systematic literature review

The complexity of delivering public services under dynamically changing operating conditions causes uncertainty in those processes. Economic and social crises, pandemics, natural and technological threats and local armed conflicts add more layers of complexity and force governments to seek ways to ensure the continuous supply of these services. Therefore, researchers indicate that a supply chain management approach could increase the efficiency and quality of public service implementation processes. However, the scattered research that exists on this topic occurs in limited areas of public governance. Therefore, this paper aims to understand the importance of supply chain management in public service delivery processes, develop the public service supply chain model, analyse the evolution of the research and identify research streams in this exploratory area. A systematic literature review based on the PRISMA methodology serves to achieve this purpose. The paper defines public service supply chain management as a synchronised process of co-creating value in public networks with its basis in relationship management, in which each actor can be both a supplier and an end-user. This paper also presents a bibliographic visualisation of research issues in public service supply chain management (PSSCM) and identifies eight major research streams in this area.

The Relationship between Management Information Systems and Green Supply Chain Management: Green Service Supply Chain Management for Performance Enhancement in Hospitals

The Relationship between Management Information Systems and Green Supply Chain Management: Green Service Supply Chain Management for Performance Enhancement in Hospitals

Authorization or encroachment: Effects of channel encroachment on decisions and performance in software service supply chains

At present, plenty of software developers not only sell their software to client firms through downstream service integrators, but also vend it to clients directly. However, little research has been investigated software developers' channel encroachment in the area of software service supply chain (SSSC) management. In this study, we examine a SSSC with a developer, an integrator, and client firms. Clients can either purchase software from the integrator at high prices and with accessorial pre-sale services, or procure it directly from the developer at low prices but with no pre-sale services. After purchasing software, clients can also purchase the extended warranty service (EWS) from the developer. We investigated the two cooperation modes, i.e., the “Authorization” (marked as mode A) and the “Authorization + direct sales” (marked as mode E), and analyzed effects of the developer's channel encroachment on equilibrium decisions of SSSC members and on SSSC performance. It is shown that both the sensitivity of clients to the EWS price and the EWS cost cannot affect the software pricing decision of the integrator in the mode A, but those can affect that in the mode E. Furthermore, when the EWS cost is high, although the developer can obtain the software authorization revenue, the software sales revenue, and the EWS sales revenue (in the mode E), its channel encroachment will unexpectedly cause its own profit to decline. We also find that if the developer participates in the competition with low intensity, its encroachment is detrimental to both parties; only when the developer participates in the competition with high intensity and has a low-cost advantage, its encroachment can increase its own profit, but it may reduce the profit of the integrator and lead to a decrease in the total SSSC profit. However, we are surprised to find that if the developer participates in the competition with high intensity and its EWS cost is high, its channel encroachment not only increases the integrator's profit but also the total SSSC performance.

Hybrid Kano-DEMATEL-TOPSIS model based benefit distribution of multiple logistics service providers considering consumer service evaluation of segmented task

Assessment of the contribution rates of third-party logistics (3PL) providers according to service quality is a highly uncertain and complex problem. The literature mainly focuses on a single multi-criteria decision making (MCDM) method based overall performance evaluations of 3PL service providers, whereas distinct operational performance measurements and the association of this service quality have not received enough attention. To efficiently solve the evaluation problem, we develop the Kano-DEMATEL-TOPSIS method and apply it in logistics service supply chain (LSSC) management. We incorporate Kano analysis and service blueprint to obtain the weight of service quality elements capturing customer feedback on the performance of segmented task. Considering the dependence of the segmented task, we put forward the DEMATE method, which gives the importance of segmented tasks in the service process. Due to the different risk preferences of logistics service providers, the entropy-based TOPSIS with adjustable contribution rates is proposed to resolve individual risk compensation. The hybrid method can better solve the problem of benefit distribution comprising segmentedtasks evaluation and individual risk compensation in LSSC.

Last Mile Logistics in A Vuca World: A Study of Goa’s Food Delivery App Service

The business world has changed intensely over recent few eras and we now live in a society where change can be unanticipated and abrupt. Food delivery apps have been a boon for customers during the pandemic owing to a number of benefits offered like the availability of a variety of food options, doorstep delivery, shorter wait times, value for money etc. During this study the leading food delivery service providers in Goa were Swiggy and Zomato. A total of 232 valid questionnaires were collected using convenience sampling and empirically tested via SPSS 21. Viewing the continuous growth and development of this service during the pandemic this study aimed to examine the supply chain management of food delivery app services in Goa while analyzing the customer behavior towards the same.

Forecasting Subway Passenger Flow for Station-Level Service Supply.

Demand forecasting is one of the managers' concerns in service supply chain management. With accurate passenger flow forecasting, the station-level service suppliers can make better service plans accordingly. However, the existing forecasting model cannot identify the different future passenger flow at different types of stations. As a result, the service suppliers cannot make service plans according to the demands of different stations. In this article, we propose a deep learning architecture called DeepSPF (Deep Learning for Subway Passenger Forecasting) to predict subway passenger flow considering the different functional types of stations. We also propose the sliding long short-term memory (LSTM) neural networks as an important component of our model, combining LSTM and one-dimensional convolution. In the experiments of the Beijing subway, DeepSPF outperforms the baseline models in three-time granularities (10, 15, and 30 minutes). Moreover, a comparison between variants of DeepSPF indicates that, with the information of stations' functional types, DeepSPF has strong robustness when an abnormal situation happens.

Thoughts on the Bulk Supply Chain Services of Xiamen Xiangyu Co., Ltd

Under the influence of globalization, the supply chain (SCM) has expanded into a globally integrated supply chain across regions and borders. With the increasing volume of China’s commodity trade year by year, China has become the largest global commodity consumption and import for many consecutive years. On August 29, 2011, Fujian Xiamen Xiangyu Co., Ltd. held a grand restructuring and listing ceremony in the Shanghai Stock Exchange, integrating the high-quality asset injection of its logistics and related industries. In recent years, Xiamen Xiangyu Group Co., Ltd. has been committed to supply chain management services, and entered the Fortune Global 500 list in 2018. Taking Xiamen Xiangyu Group Co., Ltd. as an example, this paper uses financial analysis and QR (quick response) methods to analyze the company’s main business-global commodity supply chain services. The regression analysis is used to predict the development of the Xiangyu Group case in the next three years and the results show that the bulk commodity supply chain chosen by Xiangyu, as its main business, has a broad market space and a huge market concentration and improvement potential. The continuous transformation and upgrading of the supply chain have brought benefits to the company and created a new service development model in Xiamen for better development prospects.

A New Framework for Evaluation Sustainable Green Service Supply Chain Management in Oil and Gas Industries

Oil and gas industries are among the industries involved in the international service supply chain, which include domestic and international transportation, import and export, and technology information. By creating utility and satisfaction from environmental perspective throughout the service supply chain, the supply chain managers of leading companies have recently tried to use green logistics and improve environmental performance in the entire of their service supply chain as a valuable resource for sustainable competitive advantage. Thus, the main reasons for investment in creating a sustainable green service supply chain includes management of unwanted environmental, social, and economic risks and creating sustainable services by increasing revenue and enhancing cooperation. Given the purpose of this article which is to provide a framework to assess sustainable green SSCM dimensions. Organizational factors, environmental factors were obtained. In this study, structural equation modelling (SEM) was used to test the hypotheses.

A Predictive Maintenance System for Reverse Supply Chain Operations

Background: Reverse supply chains of machinery and equipment face significant challenges, and overcoming them is critical for effective customer service and sustainable operation. Maintenance and repair services, strongly associated with the reverse movement of equipment, are among the most demanding reverse supply chain operations. Equipment is scattered in various locations, and multiple suppliers are involved in its maintenance, making it challenging to manage the related reverse supply chain operations. Effective maintenance is essential for businesses-owners of the equipment, as reducing costs while improving service quality helps them gain a competitive advantage. Methods: To enhance reverse supply chain operations related to equipment maintenance, this paper presents the operational framework, the methodological approach, and the architecture for developing a system that covers the needs for predictive maintenance in the service supply chain. It is based on Industry 4.0 technologies, such as the Internet of things, machine learning, and cloud computing. Results: As a result of the successful implementation of the system, effective equipment maintenance and service supply chain management is achieved supporting the reverse supply chain. Conclusions: This will eventually lead to fewer good-conditioned spare part replacements, just in time replacements, extended equipment life cycles, and fewer unnecessary disposals.

A Study on Hospital Supply Chain Management

The concept of Supply Chain Management which is traditionally applicable to manufacturing industry can also improve the overall operations of service industry, especially the healthcare industry. In order to get a more comprehensive understanding of hospital supply chain management and to identify the major players and their roles, this study looks into the supply chain process and the major players of the hospital supply chain in private hospitals in Bangladesh. The study initially focuses on exploring the existing literature on hospital supply chain management and subsequently, analyzes the effectiveness of the hospital supply chain process focusing on the key suppliers of the hospital industry. This research is a descriptive study, based on primary and secondary data. Primary data was collected through semi-structured questionnaire and in-depth interviews from respondents from several private hospitals in Bangladesh. The researchers have proposed a conceptual framework depicting a holistic view of Hospital Supply Chain Management and then an Integrated Private Hospital Supply Chain Management (IPHSCM) model was developed. The result of the study illustrates the efficiency of this chain is quite satisfactory. The study thus provides a comprehensive idea about the current supply chain process of private hospitals in Bangladesh. In addition, the study helps to identify the sectors where the concepts of supply chain can be applied in order to improve their operational excellence. This study has also created scopes of further studies on service supply chain management, more specifically hospital supply chain management. However, this study was limited to only private hospitals in Bangladesh. Further research can be done in this sector using the IPHSCM model developed by the researchers.

Effects of channel encroachment on the software and service decisions in it supply chains

<p style='text-indent:20px;'>Currently, many upstream software developers not only sell software through downstream service providers, but also directly sell it to clients. However, in the field of IT service supply chain management, there is a lack of research on the channel encroachment of software developers. In this study, we consider an IT service supply chain with a software developer, a service provider and client enterprises. Clients can either purchase the software (developed by the software developer) from the provider with a high price and additional pre-sale services, or directly purchase it from the developer with a low price but without pre-sale service. After purchasing the software, the clients can also purchase the extended warranty service from the developer. The study shows that the market size occupied by the developer and the intensity of competition between the two parties will neither affect the developer's product and service pricing decisions, nor influence the total demand for software products and extended warranty services, and thus will not impact his own profit. However, these factors will impact the provider's decisions for pre-sale service quality and software sales price, thereby affecting the provider's software demand and profit, and thus impact the performance of the supply chain. In addition, as the intensity of competition between both parties increases, the provider will simultaneously choose to reduce the pre-sales service quality and the software sales price to compete with the developer. Different from conclusions of the existing research on competition, we surprisingly observe that as the sensitivity of client enterprises to the extended warranty services price increases, both parties will increase the software price to compete. The encroachment of the developer will reduce the provider's software demand and profit, and thus lead to a decline in the performance of the supply chain. Therefore, the encroachment of the developer is an act of squeezing out partners by decreasing the profit of the provider, but without affecting his own profit.</p>

Effect of service quality on software sales and coordination mechanism in IT service supply chain

<p style='text-indent:20px;'>Currently, the upstream software developer usually cooperates with the downstream service provider to sell software and related services to client enterprises. Furthermore, the quality of pre-sale services provided by the provider has significant impact on software sales and on the performance of IT service supply chain (ITSSC). However, the existing research on IT service supply chain management (ITSSCM) lacks attention to this issue. In this study, we consider an ITSSC with a software developer, a service provider and client enterprises. Two scenarios are discussed in this study. Our study finds that the quality of pre-sale services provided by the provider and the price of extended warranty service (EWS) provided by the developer (in centralized decision-making (CDM)) are both higher than those in decentralized decision-making (DDM); when the sensitivity of clients to the software price is lower than a certain critical value, the software sales price (in CDM) is unexpectedly higher than that in DDM; however, when it is higher than the certain value, the software sales price (in CDM) is lower than that in DDM. Due to the double marginal effect between the developer and the provider, the total profit of ITSSC (in DDM) is always lower than that in CDM. By providing a combined coordination contract based on "guiding price <inline-formula><tex-math id="M1">\begin{document}$ + $\end{document}</tex-math></inline-formula> service cost sharing <inline-formula><tex-math id="M2">\begin{document}$ + $\end{document}</tex-math></inline-formula> product revenue sharing", not only the total profit of ITSSC can be increased, but also the profit of ITSSC members can be Pareto improved.</p>