Supply Chain Management Model Research Articles

Model and implementation of rice supply chain management: A literature review

Strengthening the Supply Chain is one solution to problems in rice farming agriculture. Although Supply Chain Management (SCM) for rice farming has been made, different parties are involved in each implementation. This difference occurs as a solution for a problem with SCM implementation. This study aims to identify problems in rice farming SCM and related theories to solve them. By implementing the Kitchenham Systematic Literature Review (SLR) approach from ACM, IEEE, and SCOPUS database, this research creates a table of problems with its solution and finds an SCM model for rice farming based on Supply Chain Operations Reference (SCOR) theory.

A New Multiechelon Mathematical Modeling for Pre‐ and Postdisaster Blood Supply Chain: Robust Optimization Approach

Disaster management is one of the most important actions to protect the property and lives of the victims. Failure to pay attention to logistical decisions of disaster can have irreversible consequences. Therefore, a multiechelon mathematical model for blood supply chain management in disaster situations is proposed in this research. The proposed supply chain includes supplier, central warehouse, reliable distributor, unreliable distributor, distributor, and affected areas. How the proposed model performs is explained as follows: blood is sent from the supplier to warehouses and distribution centers. Also, the capacity of suppliers is limited. The main objective of the mathematical model is to minimize supply chain costs while maximizing the level of satisfaction in order to meet the demand of the affected area. Hence, this research seeks to decide whether or not to establish a reliable distributor, unreliable distributor, and central warehouse. The amount of blood sent to the centers will also be calculated. One of the contributions of the proposed model is to consider the pre‐ and postdisaster modes simultaneously. Locating and investigating the flow between centers are also the other contributions of this study. Solving the proposed model using a robust optimization approach is another innovation taken into account in this research. The proposed model is solved using robust optimization, and finally, the results indicate the proper performance of the proposed model.

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.

Traços culturais, infraestrutura e mecanismos de reforço como barreiras para a gestão de cadeias de suprimento no Brasil

Abstract: The supply chain management (SCM) practices have been consolidated as important tools for increasing productivity and, consequently, business competitiveness. This study shows that peculiar aspects of culture and infrastructure in Brazil become barriers to collaboration and integration, which helps to justify the country's difficulty in inserting its companies into global supply chains. Based on the content analysis of interviews with prominent SCM executives in the country, this work formulates a SCM model contextualized to the Brazilian reality covering three cultural traits and three infrastructural traits. Fourteen propositions offer a fine-grained analysis of feedback mechanisms between said traits that perpetuate the gap between SCM theory and the Brazilian practice, hindering the advancement of SCM in Brazil. The model offers a guide for companies that aim to unclog the bottlenecks to allow the country's participation in the complex 'dance' of the global SCM.

Maintaining energy efficiencies and reducing carbon emissions under a sustainable supply chain management

<abstract><p>Currently, most countries are moving towards digitalization, and their energy consumption is increasing daily. Thus, power networks face major challenges in controlling energy consumption and supplying huge amounts of electricity. Again, using excessive power reduces the stored fossil fuels and affects the environment in terms of $ {\rm CO_{2}} $ emissions. Keep these issues in mind; this study focuses on energy-efficient products in an energy supply chain management model under credit sales, variable production, and stochastic demand. Here, the manufacturer grants a credit period for the retailer to get more orders; thus, the order quantity is related to the credit period envisaged in this model. Considering such components, supply chain members can reduce negative environmental impacts and significant energy consumption, achieve optimal results and avoid drastic financial losses. Additionally, including a credit period increases the possibility of default risk, for which a certain interest is charged. The marginal reduction cost for limiting carbon emissions, flexible production to meet fluctuating demand, and continuous investment to improve product quality are considered here. The global optimality of system profit function and decision variables (credit period, quality improvement, and production rate) is ensured through the classical optimization method. Interpretive sensitivity analyses and numerical investigations are performed to validate the proposed model. The results demonstrate that the idea of credit sales, flexible production, and quality improvement increases total system profit by $ 28.64\% $ and marginal reduction technology reduces $ {\rm CO_{2}} $ emissions up to $ 4.01\% $.</p></abstract>

Supply Chain Management in the Banking Industry: A Literature Review

In this study, the authors demonstrate how Supply Chain Management (SCM) theory has evolved over time and how it applies in the banking industry which represents as one of the service industries. Various milestones of SCM evolution in the various industries have been identified by the authors to make it simpler to grasp. To begin with, the inception of logistics was first introduced in the 1950s. It was in the 1970s when logistics was first formed. The concept of supply chain management and the idea of coordinating the activities of enterprises within the chain were created in the 1980s. Logistics and supply chain management were finally separated in the 1990s, and supply chain management underwent a change. Throughout the early 2000s of global financial crisis, capital markets were extremely volatile, placing Supply Chain Finance in the spotlight, and eventually, the banking industry demanded more rigorous study from the standpoint of SCM. Though there is very little scholarly research in the banking industry, the authors intend to accomplish supply chain management model in the banking industry. The outcomes of this study will provide new avenues for research in the supply chain finance and banking industries. Therefore, this research unlocks the further frontiers for the prospective researchers in this area.

Theoretical and Applied Principles of Supply Chain Management under Crisis Economic Conditions: Strategic Aspect

The article highlights the main methodological and strategic aspects of supply chain management under crisis economic conditions. The authors defined the essence of the concept of «supply chain». In the supply chain structure, it is possible to distinguish complete logistics chains, which, in turn, contain all key links and stages of the reproduction process, starting from raw material sources and ending with final consumers. New tasks related to the formation of rational logistics chains, supply chains and the construction of effective systems of their management have been analyzed. Comparative characteristic of supply chain management models is given. The key characteristic features include structural and conceptual, the level of interconnection with the enterprise strategy, the breadth of the set of activities, intra-organizational connections, inter-organizational connections, value forming factors, information support, etc. A new vision of economic transformation is established in logistics practice. Integration into global production networks will allow countries (especially Ukraine) to reveal their comparative advantages by focusing on specific tasks and industries. Modern production systems, which have become the end result of the dynamism of production factors, distribution and production networks, have been studied. The critical problems regarding the choice of existing corporate strategies by enterprises for their further effective expansion have been highlighted. The strategies available in the global economy have been analyzed, their advantages and disadvantages have been highlighted. In general, to establish the cumulative impact of all business processes on the level of performance of the supply chain, which will allow us to approach the measurement of the level of their synergistic effect, it is necessary to ensure constant monitoring of indicators in two areas: process and system. Under crisis economic conditions (in particular, instability of markets, destruction of well-established supply chains, in particular, due to military actions), there is a need for a quick response, complete modernization, and adaptation of the proposed logistics services throughout the supply chain. It has been proposed to form and offer a market of the latest, perfect, adaptive services to clients, which will allow balancing the unpredictability of the market with the need to obtain a stable, growing level of profitability.

System Optimization of Talent Life Cycle Management Platform Based on Decision Tree Model

Decision tree algorithm is a widely used classification and prediction method. Because it generates a tree‐like classifier, it has a simple structure and is extensively used by people. Regardless of the decision tree algorithm, the decision attributes are classified according to the condition attributes. The judgment process is from the root node to the leaf node. Each branch of the tree takes the form of selecting the best split attribute. However, this classification method of decision tree makes it rely too much on training data. If the data are more complicated, there are noisy data, incomplete data, etc. The decision tree will often have overfitting problems. This study mainly analyzes the random forest algorithm model and the CART algorithm and applies the CART algorithm to the model according to the random forest model. Aiming at the algorithm’s shortcomings in solving big data, this study will improve the algorithm through the MapReduce programming model to achieve parallelization of the process and construction of the function. Combining the construction goals and principles of the talent supply chain management system, this study constructs the overall framework and operational process of the enterprise talent supply chain management system based on the decision tree model from the overall level and the operational level. Aiming at the enterprise’s talent management problems, it focuses on designing integrated management, flexible management, talent information integrated management, and evaluation and optimization management models to ensure that the constructed system is operable and measurable and can achieve dynamic optimization. Based on the current situation of talent management in a company, this study analyzes the enterprise talent supply chain management model based on the decision tree model proposed in this study and constructs the overall framework and core model of a company’s talent supply chain management system. The current situation of the company puts forward the safeguard measures for the implementation of the management system to assure that the established management system can be effectively implemented.

Strategic sourcing model for green supply chain management: an insight into automobile manufacturing units in India

PurposeSupplier selection (SS) is one of the prime competencies in a sourcing decision. Taking into account the key role played by suppliers in facilitating the implementation of green supply chain management (GSCM), it is somewhat surprising that very little research attention has been imparted to the development of a strategic sourcing model for GSCM. This research aims to develop a strategic sourcing framework in which supplier organizations are prioritized and ranked based on their GSCM performance. Accordingly, the benchmark organization is identified and its strategy is explored for GSCM performance improvement.Design/methodology/approachThe research develops an innovative GSCM performance evaluation framework using six parameters, namely, investment in corporate social responsibility, investment in research and development, utilization of renewable energy, total energy consumption, total carbon-di-oxide emissions and total waste generation. An integrated multicriteria decision-making (MCDM) approach is proposed in which the entropy method calculates criteria weights. The Complex Proportional Assessment (COPRAS) and the Grey relational analysis (GRA) methods are used to rank supplier organizations based on their performance scores. A real-world case of green supplier selection (GSS) is considered in which five leading India-based automobile manufacturing organizations (Supplier 1, Supplier 2, Supplier 3, Supplier 4 and Supplier 5) are selected. Surveys with industry experts at the strategic, tactical, and operational levels are carried out to collect relevant data.FindingsThe results reveal that total carbon dioxide emission is the most influential parameter, as it gains the highest weight. On the contrary, investment in research and development, and total waste generation have no significant impact on GSCM performance. Results show that Supplier 5 secures the top rank. Hence, it is the benchmark organization.Research limitations/implicationsThe proposed methodology offers an easy and comprehensive approach to sourcing decisions in the field of GSCM. The entropy weight-based COPRAS and GRA methods offer an error-free channel of decision-making and can be proficiently used to outrank various industrial sectors based on their GSCM performances. This research is specific to the automobile manufacturing supply chain. Therefore, research outcomes may vary across supply chains with distinct characteristics.Practical implicationsThe basic propositions of this research are based on a real-world case. Hence, the research findings are practically feasible. The less significant parameters identified in this study would enable managers to impart more attention to vulnerable areas for improvement. This research may help policymakers identify the influential parameters for effective GSCM implementation. As this research considers all aspects of sustainability, the strategies of the benchmark supplier have a direct impact on organizations' overall sustainability. The study would enable practitioners to make various strategies for GSCM performance improvement and to develop a cleaner production system.Originality/valueThe originality of this research lies in the consideration of both economic, social, environmental and operational aspects of sustainability for assessing the GSCM performance of supplier organizations. Quantitative criteria are considered so that vagueness can be removed from the decision. The use of an integrated grey-based approach for developing a strategic sourcing model is another unique feature of this study.

IT success factors in sustainable food supply chain management

Population growth and global trade have a major impact on the sustainability of supply chains, especially in the food industry. Sustainability in the food supply chain is dependent on the way; food is manufactured, processed, and consumed. Food shortages have been steadily rising over the past few years, due to the ongoing tensions between members of the food industry. Information technology in the current environment greatly helps organizations achieve their goals. Success factors in Information Technology are the driving factors to implement Sustainable Food Supply Chain Management model successfully in dairy industry. Present study mainly focused on success factors and their analysis. Seven success factors were determined and those factors were further analyzed by Grey Relational Analysis a multi criteria decision method. The Grey Relational Analysis method is very useful and is one of the most widely used models of grey system theory and uses a detailed view of information. The grey connection range defines the value of the output-based factors and ranks them accordingly. E-Commerce holds the first position in the grey relational grade list having value of 0.30 and digital literacy comes at the end with value of 0.80.

Performance evaluation model and algorithm of green supply chain management based on sustainable computing

Abstract How to facilitate collaborative development between the enterprise and the environment under the dual constraints of resources and the environment is the focus of today's green supply chain management system research. Through the performance evaluation of the green supply chain, we can understand the operation of the whole supply chain and its shortcomings, provide a basis for improving related processes, and have important practical significance for improving the competitiveness and protection of its products. First of all, by summarising and analysing the research status of sustainable supply chain management in different countries, the research idea and overall background of this paper are proposed. It discusses the theory of sustainable supply chain management and the performance evaluation system and calculation types of sustainable supply chain management. Finally, the relative weight of each index is determined based on the sustainability calculation method, and then the decentralisation degree of the index is constructed. During this period, the fuzzy comprehensive evaluation method is used to evaluate the performance of sustainable supply chain, conduct case analysis and summary, and evaluate the performance of green supply chain component in economic, social, environmental and other aspects. In this paper, representative companies are selected as examples to evaluate their green supply chain management performance, and the evaluation algorithm is studied based on sustainable calculation method. The results show that a reasonable and effective evaluation of the enterprise performance of green supply chain management and a sustainable algorithm study can effectively identify potential problems in the operation of the company and improve the overall operation of the company at this stage.

Road Map for Green Supply Chain Management Practices and Methodological Trends: A Systematic Literature Review

This paper reviews the literature on green supply chain management practices over ten years from 2011-2021. The review criteria were based on ROSES's publication standard (RepOrting standards for Systematic Evidence Syntheses). Articles for the study were selected using two leading databases Scopus and Web of Science. After screening the titles, abstracts, and full texts of the retrieved results, three researchers independently evaluated the relevancy of the articles and chose only 35 out of 150 suitable studies which met the standards and were relevant. The review was conducted in two stages. Firstly, citation analysis was done to review the research papers in order to recognize the key areas of the green supply chain management currently being focused on and examined by the research community. The findings based on the thematic analysis fell into these main themes, which are: green procurement, green manufacturing, green distribution, reverse logistics, management commitment and organizational performance. This paper concluded that there is a huge gap in the literature related to methodological choices as quantitative studies are dominant and developed a green supply chain management (GSCM) model.

Tourism Service Supply Chain Management Model in the Context of the Pandemic

This paper explores inter-organizational collaboration in a tourism sevice supply chain management (TSSC) in times of pandemic. Its main focus is on TSSC successful management model within the chain, addressing the key components. Tourism service supply chain coordination management strategies have already been adopted by many large tourism service providers, such as hotels and airlines, tour operators, and travel agencies. Amongst the key benefits that businesses receive are: improved brand value, reputation, image and status. In the context of the current Covid-19 pandemic, special attention must be given to priorities such as cost reduction and operational efficiency. This new study selected to examine the TSSC management of bilateral relations in the context of economic disruption: relations with government, tour operators and competitors to achieve productive performance indicators such as customer satisfaction, profit and profit margin, flexibility, liquidity, reliability, productivity, transparency, sustainability, and risk resilience. Overall, the management of the tourism services supply chain (TSSC) during the pandemic became one of the most dominant topics in the tourism business environment. As circumstances change, consumer behavior and constraints imposed by public administrations, business organizations must respond and change their supply chain management strategy, which depends on the region, size and nature of the business. A properly functioning TSSC is the optimal balance between two opposite poles - efficiency and sensitivity, which represent customers’ satisfactory level. This balance is dictated by the adopted TSSC performance governing strategy, which must specify the relevant requirements for the management of relations with the government, tour operators and competitors. This achieves the level of service dictated by the market, and provides a competitive advantage. Based on the analysis of the scientific literature and the available empirical data, it has been established that the problems of the tourism service supply chain lie in its mismanagement.

Determinants of the Level of Participation in Green Supply Chain Management: Case of Vietnamese Electronics Manufacturing Enterprises

The study explores the main drivers that affecting the level of participation in green supply chain management of Vietnamese electronics manufacturing enterprises. The research team divided into two groups of factors, which are internal and external pressures. With primary data obtained from 544 electronics manufacturing enterprises in the Red River Delta and Southeast regions of Vietnam, the team applied two modeling software, SPSS 26.0 and AMOS 25.0. Combined with secondary data, the research team found that business type, size, environmental regulations, market pressures, and efficiency-oriented motivations all affect the level of management involvement. green supply chain. Since then, the research team has developed recommendations based on these groups of variables with the goal of promoting the participation of enterprises in the green supply chain management model.

A fuzzy quantitative model for assessing the performance of pharmaceutical supply chain under uncertainty

PurposeThis study aims to investigate a reliability-level demand-oriented pharmaceutical supply chain design with maximal anticipated demand coverage. Different hospitals with the particular reliability value associated with the various pharmaceutical items (PIs) are considered. An inter-connected multi-period supply chain comprising manufacturers, distribution centers, hospitals and patients is assumed for the smooth flow of health-care items, enhancing supply chain reliability. A reliability index for PIs is depicted to highlight product preference and facilitate hospitals’ service levels for patients.Design/methodology/approachA mixed-integer multi-objective programming problem that maximizes maximal demand coverage minimizes the total economic costs and pharmaceutical delivery time is depicted under intuitionistic fuzzy uncertainty. Further, a novel interactive neutrosophic programming approach is developed to solve the proposed pharmaceutical supply chain management (PSCM) model. Each objective’s marginal evaluation is elicited by various sorts of membership functions such as linear, exponential and hyperbolic types of membership functions and depicted the truth, indeterminacy and falsity membership degrees under a neutrosophic environment.FindingsThe proposed PSCM model is implemented on a real case study and solved using an interactive neutrosophic programming approach that reveals the proposed methods’ validity and applicability. An ample opportunity to generate the compromise solution is suggested by tuning various parameters. The outcomes are evaluated with practical managerial implications based on the significant findings. Finally, conclusions and future research scope are addressed based on the proposed work.Research limitations/implicationsThe propounded study has some limitations that can be addressed in future research. The discussed PSCM model can be merged with and extended by considering environmental factors such as the health-care waste management system, which is not included in this study. Uncertainty among parameters due to randomness can be incorporated and can be tackled with historical data. Besides, proposed interactive neutrosophic programming approach (INPA), various metaheuristic approaches may be applied to solve the proposed PSCM model as a future research scope.Practical implicationsThe strategy advised is to provide an opportunity to create supply chains and manufacturing within India by helping existing manufacturers to expand, identifying new manufacturers, hand-holding and facilitating, teams of officers, engineers and scientists deployed and import only if necessary to meet timelines. Thus, any pharmaceutical company or organization can adopt the production and distribution management initiatives amongst hospitals to strengthen and enable the pharmaceutical company while fighting fatal diseases during emergencies. Finally, managers or policy-makers can take advantage of the current study and extract fruitful pieces of information and knowledge regarding the optimal production and distribution strategies while making decisions.Originality/valueThis research work manifests the demand-oriented extension of the integrated PSCM design with maximum expected coverage, where different hospitals with pre-determined reliability values for various PIs are taken into consideration. The practical managerial implications are explored that immensely support the managers or practitioners to adopt the production and distribution policies for the PIs to ensure the sustainability in supply chain design.

Supply chain security evaluation model and index system based on a 5G information system.

Currently, the supply chain management model has been widely adopted worldwide. Internationally renowned companies such as IBM and Walmart have made significant achievements in supply chain management and have played a greater role in promoting the growth of their interests. However, while they are enjoying their own interests, they are also facing various risks in the supply chain. From the perspective of systems engineering, this paper uses complex network theory as a research tool to study supply chain networks and systematically study the important issues of supply chain network risks. This paper analyzes the new characteristics of the relationship between enterprises and suppliers in the supply chain and which indicators should be selected as the basis for evaluating suppliers from the perspective of cooperation and development, which more comprehensively reflects the characteristics of the new enterprise–supplier relationship in the supply chain environment. This highlights the evaluation of the supplier’s cooperation ability and development ability. Aiming at the problem of supply chain network system identification and integrated evaluation, a supply chain security evaluation model and index system research framework model are proposed, and the intercompany business risk and supply chain in supply chain network evaluation are introduced. As a model for evaluating transition parameters, the study of supply chain risk propagation introduces the theory of dynamic propagation in complex networks, the law of evolution, and the supplier's dynamic supply chain risk model. The experimental results of this paper show that when the global reputation value is 0.5 and the local reputation value is 0.8 and 0.7, the trust degree changes with the change of the confidence factor; when the value of the confidence factor decreases, the degree of trust converges more and more to the global reputation and vice versa. It can be seen that this model has high feasibility.

Construction and Optimization of Green Supply Chain Management Mode of Agricultural Enterprises in the Digital Economy

Digital economy is a rapidly developing economic form under the background of the information age. This article introduces the construction and optimization of the green supply chain management model of agricultural enterprises under the digital economy, and intends to provide some ideas and directions for the development of green supply chain management of agricultural enterprises based on digital economy. This paper proposes the construction and optimization research methods of the green supply chain management model of agricultural enterprises under the digital economy, including the overview of green supply chain management, the construction of the optimization management model of the green supply chain of agricultural enterprises, and the digital economy under the construction of a green supply chain management practice index system for agricultural enterprises. Experimental results show that average Cronbachα value of each scale factor of the optimized management model in this paper is 0.876, and optimized decision-making coordination mechanism has high internal consistency.

Research on Innovation of Supply Chain Management Model of Enterprises under the Background of Internet Economy

Research on Innovation of Supply Chain Management Model of Enterprises under the Background of Internet Economy

Evaluation of Mathematical Models in Sustainable Supply Chain Management: Gap Analysis

The main purpose of this paper is to present a comprehensive view of the application mathematical models in the designing and implementing SSCM beside to solving problems and making decision.  The research questions are: what kind of mathematical models are used for designing and implementing sustainable supply chain management, how to use them, which industries implemented in, what modules of SSCM depth in and finally finding the gaps between the goals of Sustainable development and current researches and suggestions for further researches. 
 
 The methodology of the research is Systematic Literature review and evaluation peer review papers which are published in high ranking journals: First, we gather all papers through scientific data bases like Scopus, science direct, MDPI, Springer, Google Scholar. Then, screening papers based on the criteria such as object of paper, subject of paper, journals impact factor, peer review paper, and relative content of the papers. Finally, we selected 245 papers through three steps screening from 2806 papers that they have enough quality and relative to our research goals for context analysis. 
 
 For context analysis: First we categorize the information of the papers and draw the current situation of researches in the framework of our topic. Then, we evaluate and compare the goals of sustainability and current situation and find the gapes, then, offer suggestions required researches for pollutant industries such as Casting Industry, Heavy Industry, Coal Industry and so on. On the other hand, there are gaps in researches in some modules of SSCM such as packaging, designing products, etc.    

Implementing Strategic Sustainable Supply Chain Management

Despite increasing business interest in sustainability in general and in sustainable supply chain management (SSCM), the ability to increase suppliers’ ecological and social performance is generally insufficient for many companies. In this study, we outline an implementation process model for sustainable supply chain management. We do so by synthesizing insights from a review of the sustainable supply chain management and organizational learning literature and a case study with a company aspiring to become a global leader in sustainable lighting. By combining these insights, we find that successful implementation of sustainable supply chain management requires sustainability to be anchored in a company’s vision and integrated into all functions. We also argue that organizational learning, especially learning with external stakeholders such as suppliers, an operational definition of socioecological sustainability among stakeholders, and procedural support for the cocreation of strategic plans for change are vital for achieving a truly sustainable supply chain. This definition and cocreation allow for attention to be directed toward strategic ecological and social practices, along with the joint handling of tradeoffs and economic considerations among stakeholders. As we build a foundation for an SSCM implementation process model, we use a science-based framework for strategic sustainable development. We call for more action-based research to uncover the complex nature of sustainable supply chain management, as there are unique challenges and dynamic relationships in every supply chain.