Supply Chain Management In Terms Research Articles

Research on Enterprise Supply Chain Management --- Taking Apple as an Example

The term supply chain management first appeared in the logistics literature in the mid-1980s. The goal of so-called supply chain management is to plan, implement and control in order to reduce production costs and improve production efficiency. This paper aims to analyze enterprise supply chain management. The supply chain involves most of the products in our lives. The paper starts by presenting an overview of supply chain and the importance of it. This paper chooses Apple as an example to analyze supply chain management. Apple is the world's leading high-tech company, which can offer me some experience. The supply chain was not pioneered by Apple, but they do a good job. In the supply chain, part of the enterprise's business is external, which reduces costs and improves production efficiency. Apple is consumer-oriented. Some businesses are external and so on, which makes it a win-win situation for him and his partners. But there are also some problems in Apple's supply chain management, such as excessive exploitation of downstream suppliers and neglect of employee rights and interests. Then this paper discusses how they make changes in order to improve supply management. Finally, we summarize how to effectively manage supply chains in businesses. Apple needs to pay attention to the low-end market, strengthen the supervision of suppliers, reduce the exploitation of suppliers, and truly protect the rights and interests of those suppliers' employees. In addition, it should shorten and optimize the supply chain to make the company's operations more stable.

Resilience in Supply and Demand Networks

The present era is characterised by many events that have influences on supply chains and supply networks. This concerns, e.g., war, epidemics, natural disasters, accidents, strikes, political instability, and political sanctions. These are generally grouped under the term “disruption”. In order to avoid the risk of supply chain disruption, major disruption of supply networks, or loss of customers associated with disruptions, it is necessary to take preventive and proactive measures in supply chain management in terms of planning. This paper is intended to briefly summarise the current state of knowledge with the most important facts and derive a new definition from it. In addition, an analogy to maintenance is established for the first time. In doing so, a comparison of the concepts and a listing of the important proactive measures derived from them for increasing resilience are made. In the course of this, the field of action considered is extended from the exchange of suppliers through the entire supply chain network to the exchange of customers.

How does the retailing industry decide the best replenishment strategy by utilizing technological support through blockchain?

Practitioners face two significant issues: product inaccuracy and transparency in supply chain management. Blockchain is a highly secure and trustworthy means of storing data. Radio frequency identification incorporation is essential if reliability is at a low level. Incorporating radio frequency identification can improve supply chain management in terms of product's visibility for the best replenishment strategy. A production and replenishment coordination via mathematical modeling is visualized through a three-echelon supply chain with a non-reliable production process, and the retailer deals with misplacement issues. The manufacturer handles the inventory flowing reversely and is responsible for proper end-of-life treatment, either repairing or remanufacturing. Repairs are sold in bulk on the secondary market, and remanufactured items are used to prevent retailers' shortages. In this model, radio frequency identification technology on the physical surface is combined with a blockchain on the cyber surface, containing all the information about the product, including its location and attributes. A comparative study is provided for the traditional supply chain with misplacement versus a blockchain-based supply chain with radio frequency identification. An analytical approach is used to arrive at the optimum policy for the practitioners, and numerical analysis illustrates the problem. Numerical experiments indicate that the technology is highly profitable for supply chain management. Radio frequency identification technology can increase profit by up to 61%. After discrepancy, holding cost is the second most sensitive parameter for the profit function. If the holding cost is higher, profit can be increased by 40% using radio frequency identification and blockchain. The negative effect of misplacement is reduced with an increasing demand rate, but the reduction rate is very slow. The choice of not adopting radio frequency identification can only be successful if demand is so high that it can reduce the effect of misplacement.

Supply Chain Management: A Review and Bibliometric Analysis

Supply chain management (SCM), which generally refers to horizontal integration management, has steadily become the core competitiveness of company rivalry and an essential approach to developing national comprehensive and national strength since the end of the 20th century due to the numerous needs arising from a competitive international economy. Manufacturers develop a community of interest by forming long-term strategic partnerships with suppliers and vendors throughout the supply chain. This paper defines supply chain management by reviewing the existing literature and discusses the current state of supply chain management research, as well as prospective research directions. Specifically, we conducted a bibliometric analysis of the influential studies of SCM in terms of various aspects, such as research areas, journals, countries/regions, institutions, authors and corresponding authors, most cited publications, and author keywords, based on the 8998 reviews and articles collected from the SCI and SSCI database of the Web of Science (WoS) between 2010 and 2020. The results show that the major research areas were Management (3071, 34.13%), Operations Research & Management Science (2680, 29.78%), and Engineering, Industrial (1854, 20.60%) with TP and TPR%. The most productive journal and institution were J. Clean Prod and Hong Kong Polytech Univ with a TP of 554 and 238, respectively. China, USA, and UK were the top three contributing countries. Furthermore, “sustainability”, “green supply chain (management)”, and “sustainable supply chain (management)” were the most popular author keywords in recent three years and since 2010, apart from the author keywords of SCM. When combined with the most cited articles in recent years, the application of block chain and Industry 4.0 in supply chain management increased rapidly and generated great attention.

E-logistic Practices and Health Care Supply Chain Management for Public Referral Hospitals in Uganda

This paper examined e-logistic practices and health care supply chain management in the context of Ugandan public referral hospitals. The prime objective was to examine the relationship between e-logistics operations and performance of health care supply chain management. A quantitative research approach was utilized to gather data from public referral hospitals respondents using structured survey questionnaires.  For data analysis, descriptive statistics and Partial Least Squares-Structural Equation Modelling were utilised, aided by SmartPLS 3. Findings showed a positive significant relationship between e-logistics operations and performance of health care supply chain management in the context of Ugandan public referral hospitals. This study implies that the key e-logistics operations in relation to the performance of health care supply chain management, are central management of drugs, the correct order picking of drugs given to the right patients for quality control, and presence of an electronic system to update stock daily. Additionally, the findings designated that, e-logistics operations are related to the performance of health care supply chain management in terms of ICTs tracking systems and data transparency. The practical implication to the health sector- stakeholders, is to consider ICT-tracking systems and data transparency for e-logistics operations and performance of health care supply chain management.

Assessing the Role of Community Forest Management: A Geographical Information System (GIS)-based approach

This paper examined e-logistic practices and health care supply chain management in the context of Ugandan public referral hospitals. The prime objective was to examine the relationship between e-logistics operations and performance of health care supply chain management. A quantitative research approach was utilized to gather data from public referral hospitals respondents using structured survey questionnaires.  For data analysis, descriptive statistics and Partial Least Squares-Structural Equation Modelling were utilised, aided by SmartPLS 3. Findings showed a positive significant relationship between e-logistics operations and performance of health care supply chain management in the context of Ugandan public referral hospitals. This study implies that the key e-logistics operations in relation to the performance of health care supply chain management, are central management of drugs, the correct order picking of drugs given to the right patients for quality control, and presence of an electronic system to update stock daily. Additionally, the findings designated that, e-logistics operations are related to the performance of health care supply chain management in terms of ICTs tracking systems and data transparency. The practical implication to the health sector- stakeholders, is to consider ICT-tracking systems and data transparency for e-logistics operations and performance of health care supply chain management.

The degree of stakeholder influences and risks in sustainable supply chains: a systematic literature review

Abstract Purpose Different stakeholders with varying degrees of influences pressure companies to adopt more sustainable practices. The aim of this paper is to investigate and analyse how stakeholder influences and risks may impact the sustainability of supply chains (SCs). Social, environmental, and economic concerns are addressed by a company's engagement with different players in the supply chain. Respectively, companies become more vulnerable from exposure in their SCs and need to balance the pressures from stakeholders and sustainable practices to develop suitable risk mitigation practices. Design/methodology/approach The authors use a qualitative approach by means of a systematic literature review to examine the empirical data on the way managing stakeholder influences and risks impacts sustainability for supply chains (SCs) from dependable databases: Web of Science (WoS) and Scopus. Findings The findings of the analysis show that knowledge management, collaboration, and top management commitment is a prerequisite for effectively managing various stakeholder influences and risks for sustainable supply chains. Consequently, further research could identify conflict stakeholder interests and analyse distinct stakeholder influences in various industries and the negative effects these influences in themselves may pose. Originality/value This paper provides insight into the relevance of bridging the gap for Sustainable Supply Chain Management in terms of value creation and sustainable development.

Supply chain digitalization

In today’s world, competition between enterprises is characterized by competition between production value chains. The model of inventory management in terms of supply chain management allows you to combine the resources of enterprises and strengthen their cooperation with other industries. This model enables the rational use of stocks, accurately refl ecting demand and reducing their cost, increasing competitiveness, optimizing the overall structure of the production value chains, which is the key to ensuring the smooth transfer of information between the links of the supply chains. Such models and ideas of inventory management will be applied by an increasing number of enterprises.The development of supply chains in general and the information subsystem in particular is analyzed. The characteristics of inventory management within the framework of the supply management system are considered. The weaknesses of the traditional management model at the current stage of digitalization of transportation are identifi ed, the strengths of the new management model are shown, which will signifi cantly reduce the cost of storing stocks within the supply chain and quickly respond to customer needs. The evolution of supply chains, the digitalization of production and transport processes create the conditions for organizing a single network information platform for the logistics chain. Thus, a phase of transition to network logistics will be implemented, which will increase the effi ciency of production value chains.

Tracing and measuring the COVID-19 Colombian vaccination network

The COVID-19 vaccination process in Colombia has been a major challenge not only in terms of public health but also in terms of supply chain management and logistics processes. To support the monitoring of these processes and associated decision-making, a dashboard was designed in Google Data Studio focused on analyzing the progress of COVID-19 vaccination and its logistics efficiency. This article describes the design and implementation of the dashboard using a design science approach and discusses the main lessons learned. During its development, four major challenges were identified: the search for and availability of data sources, the definition and standardization of metrics, the extraction of data in different formats; and finally, the validation of the metrics. Despite these challenges, the dashboard became a source of information for different stakeholders in the Colombian COVID-19 vaccination network, facilitating the monitoring of key performance indicators (KPIs), supporting decision-making, and policy evaluation. This reaffirms the importance of having open information to generate knowledge for both public and private entities as well as for the public. The main contribution of this work is the definition and standardization of the KPIs and it is therefore expected that this experience will serve as an insightful input for designing mass vaccination strategies.

Supply chain integration, capability and performance – a business-to-business network cooperation

PurposeSupply chain integration (SCI) is a critical issue in the study of supply chain management in terms of working with partners on business networks to complete tasks, enhance capability and increase performance in a collaborative supply chain process. Thus, this study aims to investigate the influence of SCI and supply chain capability (SCC) on supply chain performance (SCP) which has a positive effect according to the degree of integration (DI) in a supply chain management process. Furthermore, the DI has a direct or indirect impact on how SCI affects SCP.Design/methodology/approachThrough a questionnaire-survey, 454 valid responses were collected. This study investigates the relationships between SCI, SCC, SCP and the DI in the Taiwan elevator by using a structured equations model. The DI is considered as a variable for the effect of a moderated mediation in the research model.FindingsIt was found that SCI, directly and indirectly, affected the SCP in a positive way. In addition, the research model is a partial mediation model and that SCC plays a mediator role and DI also existing a moderated mediating effect in the research model. The indirect effect of SCI on SCP through SCC is stronger at higher levels of DI than at lower levels of DI.Originality/valueThis is the first study that suggests and empirically tests the moderated mediating impacts of the integration degree on the relationships between SCI, capability and performance with suppliers of the elevator manufacturing supply chain as the business-to-business network cooperation example in Taiwan.

Development Supply Chain Management In Terms of Quality Function: An Application in the Manufacturing Industry

In terms of financial efficiency, customer loyalty, and partner earnings, Supply Chain Management (SCM) efficiently benefits the company. The belows are some of the corporate opportunities of supply chain management. It increases sales, helps to reduce capital expenditures in the industry, reduces time by making efficient use of the time between consumer orders and distribution and Improves responsiveness to changes in demand, increasing supply stability. Due to this topic, by combining Quality Function Deploymnet (QFD) applications with a SCM system, this research will provide the researcher with an improved output arrangement. It covers the basics of using QFD in SCM systems as well as several examples of how to use QFD as a continuity reference and a supply chain management approach. This research looks at how and why QFD can be used in a supply chain, as well as some of the potential applications. QFD technique may help with SCM implementations. Customers' importance in a supply chain network cannot be overstated. The integration of "Customers Voice" into the applied structure ensures a high chance of performance and device productivity, while the Fuzzy QFD implementation promotes strategic analysis as a framework for evaluating. Supply chain management is critical from a strategic standpoint and is seen as a competitive advantage. In this study, in the furniture industry, switching from conventional approaches to supply chain management with QFD has a number of benefits. The application's main objective is to expose the process and operation of supply chain management in the furniture industry in this context.

Evaluation of the impact of blockchain technology on supply chain using cognitive maps

Blockchain technology have gained importance in the supply chain with its transparency, robustness, and elimination of intermediaries. Different impacts are expected with the integration of blockchain technology in supply chain processes. Comprehensive evaluation methods are required to take important strategic decisions about blockchain technology. To examine the impact of blockchain technology, factors of cost, risks, business, and customer related benefits should be considered comprehensively. The purpose of this paper is to investigate the causal relationships among the factors to evaluate blockchain technology impact on supply chain. Cognitive maps (CM) methods which are hesitant fuzzy cognitive map (HFCM), probabilistic linguistic fuzzy cognitive map (PL-FCM) and rough set cognitive map (RS-CM) are used in this study. Also, PL-FCM that is generated based on probabilistic linguistic term sets is used for the first time in this study as a novel cognitive model. This study provides a contribution by developing cognitive map methods to measure and examine the impact of blockchain technology on supply chain for the first time. Firstly, the impacts of blockchain technology on supply chain and their relations are formed according to expert views and literature review. Then, five scenarios are considered using cognitive mapping methods, future predictions in terms of supply chain management are determined. Sensitivity analysis is performed. In this way, firms can analyze various implications and under what conditions how blockchain technology will have an impact on the supply chain.

Smart Contracts for Sustainable Supply Chain Management: Conceptual Frameworks for Supply Chain Maturity Evaluation and Smart Contract Sustainability Assessment

Current research on smart contracts focuses on technical, conceptual, and legal aspects but neglects organizational requirements and sustainability impacts. We consider this a significant research gap and explore the relationship between smart contracts and sustainability in supply chains. First, we define the concept of smart contracts in terms of supply chain management. Then, we conduct a content analysis of the literature to explore the overlapping research fields of smart contracts and sustainability in supply chains. Next, we develop a semi-structured assessment framework to model the potential environmental and social impacts induced by smart contracts on supply chains. We propose a conceptual framework for supply chain maturity by mapping the relationships between organizational development, sustainability, and technology. We identify smart contracts as a foundational technology that enables efficient and transparent governance and collaborative self-coordination of human and non-human actors. Thus, we argue that smart contracts can contribute to the economic and social development of networked value chains and Society 5.0. To stimulate interdisciplinary research on smart contracts, we conclude the article by formulating research propositions and trade-offs for smart contracts in the context of technology development, business process and supply chain management, and sustainability.

Artificial intelligence in operations management and supply chain management: an exploratory case study

With the development and evolution of information technology, competition has become more and more intensive on a global scale. Many companies have forecast that the future of operation and supply chain management (SCM) may change dramatically, from planning, scheduling, optimisation, to transportation, with the presence of artificial intelligence (AI). People will be more and more interested in machine learning, AI, and other intelligent technologies, in terms of SCM. Within this context, this particular research study provides an overview of the concept of AI and SCM. It then focuses on timely and critical analysis of AI-driven supply chain research and applications. In this exploratory research, the emerging AI-based business models of different case companies are analysed. Their relevant AI solutions and related values to companies are also evaluated. As a result, this research identifies several areas of value creation for the application of AI in the supply chain. It also proposes an approach to designing business models for AI supply chain applications.

Supply Chain Management in Terms of Vendor Selection for New Technology Startup: A Case Study of Sini Company Mobile Apps Development

SINI is one of the start-ups in the Internet of Things (IoT) industries in Indonesia. Until today, SINI still do not have all of the resources to develop a product with a technology only by this start-up. To develop a product, SINI need to outsource and being partnered with another party. SINI developing SINI Device Tracker and it consists of device tracker as hardware and mobile apps to control and support tracking function. SINI faced a problem in the android mobile apps development where the previous vendor cannot fulfil the requirement of mobile apps that they developed because there is still a bug that cannot be solved. This research aims to find the alternatives solution that can be applied to solve SINI problem for mobile apps development, find the criteria that should be consider by SINI to choose a new vendor, and to study the strategy of vendor selection that fit with SINI company. To reach the aims of this study, sufficient literature studies are needed and validated with field research in the form of interview, consulting, and FGD with related parties such as IT consultant, programmer, SINI previous vendor, and the internal of SINI company. This study uses problem solving format by using quantitative and qualitative approaches, and also implements Multi-Criteria Decision Making (MCDM) by using Analytic Hierarchical Process (AHP) in the process of vendor selection for the development process of SINI mobile apps.

Prospects for development of group purchasing organizations (GPOs) in China within the context of national centralized drug procurement.

Healthcare group purchasing organizations (GPOs) are considered to play an integral role in the healthcare supply chain by keeping prices low and helping all members of the healthcare system achieve their objectives. China has been exploring GPOs in the field of drug procurement since 2015, and there are currently three GPO models in Shanghai, Shenzhen, and Guangzhou. Although the three models operate differently and they have each been examined, they have all achieved certain results and demonstrated the ability to control drug expenditures. In 2018, the National Healthcare Security Administration implemented a national centralized drug procurement policy, also known as the 4 + 7 procurement policy ("4+7 Policy"). This policy context has also led to changes in the strategy for development of GPOs in China. GPOs need to explore strategies that do not overlap with the scope of 4 + 7 procurement, and they need to develop dynamic and personalized procurement plans that are more in line with first-line clinical practices to have a synergistic effect in combination with the "4+7 Policy." In the future, GPOs will grow rapidly in China. The number of GPOs need to be increased to prevent monopolies, and GPOs need to expand their diversified value-added services to perform more tasks in terms of supply chain management and data analysis.

Designing a stochastic multi-objective simulation-based optimization model for sales and operations planning in built-to-order environment with uncertain distant outsourcing

To this day, sales & operations planning (S&OP) remains one of the most critical challenges of supply chain management in terms of improving customers’ experience level and managing supply chain costs. Nowadays the synchronization of sales essentials and industrial restrictions in an uncertain environment is critical for all global companies facing complexity in supply chain networks and operations systems. Sales and supply chain structures in build-to-order industries generally have cross-functional and conflicting objects that are not easily comparable. The current research is an extension of an innovative S&OP model within a more dynamically complex system in terms of demands uncertainty and unreliability of backup supplies. The promoted model is utilized for more efficient management and integration of industrial restrictions and sales essentials in global supply chain networks in terms of demand and supply coordination and responsiveness toward customers’ needs. Accordingly, this research has applied a simulation-based optimization approach to balance the trade-off between logistics cost and customers’ experience level as the main objectives. Two classes of strategies are offered for handling parts’ replenishment and flexibility to the sales structure. Initially, the proposed model evaluates two main inventory strategies’ performances. Thereafter, the optimized values of flexibility degree and safety stock fraction for corresponding inventory strategies are calculated by using a multi-objective simulation-optimization method. The investigation begins with an overall assessment of the system's performance. Furthermore, it details the alterations among the strategies’ key performance indicators (KPIs) as system parameters’ function.

Supplying resilience through assessing diversity of responses to disruption

PurposeThe purpose of this paper is to contribute to the theory and practice of supply chain management in terms of how an organisation should structure its supply base to be resilient to supply uncertainties and disruptions. An empirical assessment of supplier response diversity is demonstrated, and the following research question posed: Is response diversity of suppliers positively associated with supply chain resilience, more positively than mere supplier diversity is?Design/Methodology/ApproachResilience is operationalised as the maintenance of sales of two food products in 27 southern Finnish retail stores during two distinct disruptions. Response diversity is operationalised as 1) diversity in the personnel sizes of slaughterhouse suppliers of pork under domestic strikes and as 2) evenness in the proportions of imports and domestic supply of food oil under global price volatility. A five-step quantitative assessment is performed.FindingsResponse diversity is positively related to the maintenance of sales, more positively than diversity of individual suppliers is.Research limitations/ImplicationsResponse diversity is an advancement to the theory of supply chain resilience and supply base management, and access to big data increases practical potential.Practical implicationsEmpirical assessments of response diversity of suppliers provide buyer companies an effective means to enhance their supply base management for resilience.Social implicationsThe proposed approach is useful for teaching and for authorities to enhance food security.Originality/valueThis first assessment of response diversity of supply chain operations presents an important advancement in the theory and practice of supply base management for resilience.

РОЗВИТОК ВИРОБНИЦТВА МОЛОКА В УКРАЇНІ ТА ЕКОНОМІЧНА СТІЙКІСТЬ МОЛОКОПРОДУКТОВОГО ПІДКОМПЛЕКСУ

The aim of the study was to develop theoretical, methodological and practical foundations for achieving the economic sustainability of dairy products by enterprises. The structure of the dairy subcomplex in terms of supply chain management is disclosed. This methodological approach made it possible to outline the external environment of the milk production and the dairy industry as a whole. We consider the category «economic sustainability» as the system ability to maintain its working condition in order to achieve the planned results in the presence of various perturbation effects (destabilizing internal and external factors). The starting point was the hypothesis that the economic sustainability of the dairy subcomplex as a whole depends on the economic sustainability of milk production entities (agricultural enterprises and households). Comparing the profitability level that has the potential to provide dynamic economic stability with the average in the dairy industry proves - without active state support the dairy industry in Ukraine is in danger of phasing out. The analysis of economic practices in Ukraine (in particular, data of the State Statistics Service) allowed to formulate the author's vision of the directions of achieving the dairy sub-sector of the state of dynamic economic stability. They include: the development of industrial dairy cattle as opposed to the dominance of small-scale production; changes in pricing policy, as well as the calculation of government subsidies by reformatting approaches to determining the cost of milk production, which will allow to adjust the reproduction system of own livestock and will increase the profitability of the dairy industry; achievement of higher quality of dairy raw materials by means of logistical re-equipment of farms, improvement of personnel qualification, provision of high sanitary standards, improvement of veterinary services; diversification of milk distribution channels in order to reduce the market power of the processing industry enterprises. Key words: milk production, economic sustainability, dairy subcomplex, industrial cattle breeding, dairy cattle breeding.

Strategic impact of SCM and SCQM practices on competitive dimensions of Indian manufacturing industries

Purpose The purpose of this paper is to evaluate the capabilities of total quality management (TQM) and supply chain management (SCM) and extract various significant factors which influence the implementation of SCM alone and synergy of both TQM–SCM in terms of business performance of Indian medium and large scale manufacturing industry. Design/methodology/approach In the present study, 116 Indian manufacturing organizations have been extensively surveyed to ascertain the inter-relationships between various success factors and competitive dimensions of SCM alone and for combined approach (TQM–SCM), through different statistical techniques. Further, to evaluate the significance of time period on competitive dimensions, two-tailed t-test has been deployed. Finally the discriminant validity test has been applied to extract highly successful and moderately successful organizations for both approaches. Findings The study compares the contributions played by only SCM initiatives and combined approach (TQM–SCM) initiatives toward realization of significant improvements of various competitive dimensions of Indian manufacturing organizations. Finally, this study reveals that synergistic relationship of TQM and SCM paradigms can be more helpful as compared to only SCM initiatives for Indian manufacturing industries to enhance overall business performance. Originality/value TQM and SCM are considered as performance improvement techniques by the manufacturing organizations. The present research work establishes that combined (TQM–SCM) initiatives have effectively contributed for realization of significant competitive dimensions, progressively from introduction to maturity phases. So, the study stresses upon the need for improving coordination between various manufacturing parameters as well as competitive dimensions of TQM and SCM paradigms to enjoy higher potential of business performance.