Supply Chain Management Model Research Articles

Discrete Optimization for Dynamic Systems of Operations Management in Data-Driven Society

Society is being reshaped by large volumes of data generated from various operations, and research in handling dynamic issues related to data-driven systems has greatly increased in the past decades, where most rely upon discrete optimization models for handling dynamic features contained in operations management (OM) activities. With the rapid growth in computational technologies, including data mining technologies, discrete event simulation techniques, and intelligence algorithms, OM relies more and more on optimal solutions (or their approximates) based on high-performance models and algorithms. This special issue collects 32 original research contributions that present recent advances in models and algorithms concerning discrete optimizations on dynamic OM systems relevant to the data-driven society. In particular, the papers address the topics related to discrete optimization methodologies for stochastic OM problems, dynamic programming based exact methods for stochastic OM problems, system dynamics in behavior OM for E-commerce, data-driven risk analysis and modeling for OM decisions in dynamic contexts, data-driven models for dynamic supply chain management, etc. It is hoped that this special issue will help the integration of the latest research achievements in the relevant field. The paper by S. Li et al. entitled “Probability Mechanism Based Particle Swarm Optimization Algorithm and Its Application in Resource-Constrained Project Scheduling Problems” proposes a new probability mechanism based particle swarm optimization (PMPSO) algorithm to solve combinatorial optimization problems by introducing new particles based on the optimal particles in the population and the historical optimal particles in the individual changes. This method is applied to solve resource-constrained project scheduling problems and the experimental results are quite encouraging.

Supply Chain Management (SCM) – Is it Value Addition towards Academia?

This keynote paper illustrates the theory and evolution of Supply Chain Management (SCM) as well as highlights chronological prospective of SCM in terms of time frame in different areas of manufacturing and service industries. The objective of SCM is to incorporate activities across and within organizations for providing the customer/stakeholders value. Supply Chain Management (SCM) has been widely researched in numerous application domains during the last few decades. Despite the popularity of SCM research and applications, considerable confusion remains as to its meaning, there are several attempts made by researchers and practitioners to appropriately define SCM. This paper demonstrates Educational Supply Chain Management, Integrated Tertiary Educational Supply Chain Management (ITESCM) model, as the application of SCM in the service industry, which would add the values towards academia. ITESCM model were identified and confirmed by 493 respondents, representing experts and administrators, faculty, staffs of the university, employers, graduates, etc. The resulting model was subsequently evaluated for accuracy and validity by multiple linear regressions (MLR) analysis and the structural equation modeling (SEM) technique. The research model provides a novel approach for decision makers of each supply chain components to review and appraise their performance toward fulfillment of ultimate goals i.e. producing high-caliber graduates and high-impact research outcomes, which represent two main contributions, for the betterment of the end customer, i.e., the society.

Supply Chain Management Models for the Development of Green Fuel Production from Microalgae in Iran

Background and Objective: Environmental pollution and dependency on fossil fuels are the most important incentives for the development of biofuels in Iran. Microalgae are introduced as one of the best raw materials for the production of biofuels in the world. In addition, for the production of microalgae, the emissions from power plants are used which leads to the reduction of greenhouse gas emissions to the atmosphere. Method: This paper proposes a microalgae-based biofuel supply chain network design model to study the development of such fuels. First, a deterministic model was developed to model the all activities of the supply chain including provision of raw materials for the production of microalgae, microalgae cultivation, turning them into biofuel and eventually biofuel distribution. Then, the deterministic model was extended to a robust network design model to achieve a safe and stable supply chain decisions in the face of uncertainty. Findings: Results of using the proposed model for the development of microalgal biofuel production show that the cost biofuel production from microalgae is 88.5 thousand Rials per liter. Discussion and Conclusion: Current production cost of microalgae-based biofuel cannot compete with that of fossil fuel, but the cost can be significantly decreased with a slight increase in algae productivity or oil content in future.

Supply Chain Management Model to Improve the Competitiveness of SMEs in the ASEAN Economic Community Era 2015–2025 in Tanjung Jabung Barat Regency, Indonesia

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Evaluation of supply chain management model of organic lettuce produced in rural areas

The study aimed to: (1) identify supply chain management model of organic lettuce; (2) identify the institutions involved in organic lettuce marketing; (3) identify the marketing functions by each trader; and (4) evaluate the supply chain management performance. This research was conducted in Kedungbanteng District, Banyumas Regency Central Java Indonesia. The study was conducted through survey and census. The study involved 8 farmers, 3 traders, 2 suppliers, and 6 retailers. The result shows that there were two supply chain management models of organic lettuce: (i) producers → suppliers → retailers → consumers and (ii) producers → retailers → consumers.Institution involved act as traders, suppliers, and retailers; Suppliers act marketing functions such as harvesting, buying, packing, labelling, pricing, transporting, risk coverage, funding, selling, and marketing information; retailers act marketing functions such as storage and selling. Farmer’s share was 42.4-61.42%, price’s coefficient of variance in producers’ level were 0 and 6% in the consumers; index of technical efficiency in channel 1 and 2 were 0.62; while index of economic efficiency on channel 1 was 1.09 and 0.30 on channel 2. It can be concluded that supply chain management model of organic lettuce in Kedungbanteng, Banyumas Regency was moderate efficient.

Blockchain anchored supply chain automation

Increasing globalization, e-commerce usage, and social awareness are leading to increased consumer demand for variety, value, convenience, immediacy, verifiable authenticity and provenance, ethical materials sourcing and manufacturing, regulatory compliance, and services after sales. Fulfilling this increased complexity of consumer demand has required supply chains to evolve into multienterprise networks with numerous flow paths in production, merchandising, and fulfillment involving many organizational/institutional handoffs, to effectively manage a large number of complex products with shorter life cycles and high transaction volumes. The supply chain management models of today place higher demands on automation and require a transition from the traditional paradigm of planning followed by long-loop execution for a handful of segments to a paradigm of managing a portfolio of end-to-end instrumented data-rich microsegmented supply chains that are monitored and adjusted in near real time. These essential aspects and challenges of supply chain management require the supporting information technology to also evolve. In this paper, we propose a novel reference software architecture to address the complex requirements of modern supply chains that also integrates blockchain into several layers of the stack. We present several examples where this reference architecture is applicable, and then demonstrate through a use case in production that integrating blockchain technology helps with providing visibility, documenting provenance, and allowing permissioned data access to facilitate the automation of many high-volume tasks such as reconciliations, payments, and settlements.

Research on financial risk management model of internet supply chain based on data science

The supply chain financial risk management model is established under the Internet financial model, so as to improve the supply chain's ability and resist risks, a financial risk management model of Internet supply chain is proposed based on data science. Firstly, the forms and countermeasures of financial risk in Internet supply chain is analyzed. The data science analysis method is used to analyze the risk management model, and the supply chain financial risk management model is constructed based on the multivariate piecewise regression analysis and the financing decision effectiveness game. The relationship between supply chain financial risk management and enterprise performance is studied under the Internet finance model, the validity of the financing decision of Internet supply chain is analyzed, and it constructs the decision model of Internet supply chain by descriptive statistical analysis method. The fuzzy decision method is used to analyze the risk assessment of Internet supply chain, and the Simunic model is used to analyze the correlation model of risk management in Internet supply chain. In order to improve the risk management ability of Internet supply chain, the statistical analysis and comprehensive decision of risk control are carried out by using piecewise sample regression analysis. The results of empirical data analysis show that the model has good piecewise fit for financial risk management and management of supply chain under Internet financial model, and the accuracy of data evaluation is high. The model is robust for financial risk management and performance evaluation of supply chain.

An Integrated Logistics Routing and Scheduling Network Model with RFID-GPS Data for Supply Chain Management

In this paper, an integrated supply chain management model that draws upon information from radio frequency identification (RFID) and global positioning systems (GPS) is presented. The model automates and optimizes the logistics tasks of grouping, routing, and scheduling. Optimization algorithms are proposed that minimize resource consumption and the traveling time for routes and schedules. Data from RFID readers and GPS units provide instant and dynamic information about the current processing and location status of the logistics jobs. The optimized routes and schedules are then dynamically updated and visualized so that centralized logistics planners can adjust as necessary. The proposed approach thereby combines both discrete and continuous information to assist logistics routings and scheduling to enhance supply chain management. The model can thus tackle the practical problem of variance in processing time, and to identify the segments of a route or schedule for which the processing time varies.

Supply Chain Management Models for Mobile Battery Energy Storage Systems

This work proposes a promising scenario of large-scale deployment of battery energy storage systems that attempts to address three important issues toward a sustainable energy landscape in the near future: (1) Suppressed grid integration of variable renewable generations such as wind; (2) Low profitability of battery energy storage systems due to limited applications; and (3) Conflicts between the current power infrastructure and the installation of charging stations to meet the growing needs of electrical transportation. To maximize the utilization of renewable energy while increasing the profitability of battery energy storage systems, a new concept has emerged from our previous work which envisions a transition from "Battery Farm" to "Battery Warehouse", i.e. the batteries can be mobilized instead of completely stationary. More specifically, we design a system in which electric trucks transport the batteries between battery warehouse and electric vehicle charging stations. This facilitates the planning and operation of electric vehicle charging station networks without constraints from the grid. In many areas in the United states (e.g. Texas) where there are abundant renewable energy sources and the road networks do not suffer from frequent congestion, this could be a viable solution. To further demonstrate its feasibility, in this work, we use the theoretical framework of supply chain management and investigate a three-layer supply network (battery warehouse, charging stations, electric vehicles). The objectives are two-folded: firstly, developing an integrated pricing method to include costs, risks, and consumer utilities; and secondly, determining the locations and sizes of charging stations to minimize costs in the logistics system. Using the city of Corpus Christi, Texas and the nearby Chapman Ranch wind farm as test case, we implement the design and simulate its performance based on the supply chain management models. The two main performance indexes are: reliability (supply can always meet demand) and profitability. While the former can be ensured through good planning and control, the latter remains an open problem. However, our preliminary results in this work, even if far from definitive due to various assumptions and uncertainties, would shed some light on this issue to help potential stakeholders make business decisions or policy recommendations.

A conceptual model of sustainable supply chain management in small and medium enterprises using blockchain technology

This paper proposes a conceptual model of sustainable supply chain management (SSCM) in small and medium enterprises (SME) using blockchain technology (BT). With growing focus on sustainable busine...

The intellectual foundation of supply chain management performance models: a bibliometric analysis and synthesis

Recently, performance measurement models in supply chain management (SCM) or SCOR based performance models have received great attention in SCM domain. This paper reviewed the theoretical foundations of performance models in SCM over time, and proposed a holistic view by identifying the associations of existing SCM models and performance measures. A sample of 2,340 articles by 4,431 authors were thoroughly analysed using a bibliometric citation meta-technique. The articles published in nineteen top rated journals A*, A and B according to the ABS and Financial Times academic rankings in operations management discipline were extracted from the ISI Web of Science database. Using the HistCite, VOSviewer and Gephi tools, the research on performance measurement models since 1990 was mapped. Major findings of the work categorised into three research sub-streams as theoretical foundations were identified based on the 30 highly-cited papers. The most influential contributions were corroborated to propose a conceptual framework, demonstrating how the performance measures and SCM models are associated with each other using organisation theories.

The intellectual foundation of supply chain management performance models: a bibliometric analysis and synthesis

Recently, performance measurement models in supply chain management (SCM) or SCOR based performance models have received great attention in SCM domain. This paper reviewed the theoretical foundations of performance models in SCM over time, and proposed a holistic view by identifying the associations of existing SCM models and performance measures. A sample of 2,340 articles by 4,431 authors were thoroughly analysed using a bibliometric citation meta-technique. The articles published in nineteen top rated journals A*, A and B according to the ABS and Financial Times academic rankings in operations management discipline were extracted from the ISI Web of Science database. Using the HistCite, VOSviewer and Gephi tools, the research on performance measurement models since 1990 was mapped. Major findings of the work categorized into three research sub-streams as theoretical foundations were identified based on the 30 highly-cited papers. The most influential contributions were corroborated to propose a conceptual framework, demonstrating how the performance measures and SCM models are associated with each other using organization theories.

Designing a business intelligence conceptual model of supply chain management in sales-based SMEs

Designing a business intelligence conceptual model of supply chain management in sales-based SMEs

Designing a business intelligence conceptual model of supply chain management in sales-based SMEs

Nowadays, in SMEs, especially the ones highly dependent on sales of products or services, supply chain management has a decisive and critical role for managers to make intelligent decisions and have high agility to utilise the opportunities in a very competitive environment. Identification of important and effective concepts and aspects in the scope of SCM in such enterprises to enhance the intelligence of managers in decision making processes is the purpose of this paper. In this research, by applying the grounded theory in the literature review and structural equation modelling (SEM) approach, the relations of main variables are validated thru focus groups and questionnaires and the results have been statistically analysed to develop a conceptual model. Therefore, with the aid of this model, the business managers will be directed to dedicate their efforts to enhance their business intelligence on the identified variables of the model to make intelligent supply chain oriented decisions.

Opportunities of Product-Service System in Physical Internet

Product-Service System (PSS) has shown great potential in supply chain and logistics management. The potential is even more evident for the recent paradigms of sustainable logistics, for example the Physical Internet that advocates the interconnection and interoperability of logistics networks. Generally, these paradigms aim at enhancing flexibility, agility and sustainability of logistics services, based on the seamless sharing of resources and services, and on decentralized real-time decision-making. To this end, these paradigms are requiring and inciting a number of innovations of PSS and services (including new business models) in supply chain and logistics management. This paper discusses the new opportunities and perspectives of PSS in Physical Internet that is one of the most recent breakthrough paradigms. We also investigate some recent innovative business models, services and practices relevant to PSS and PI, in order to point out emerging research avenues and opportunities.

Development of Financial Supply Chain Management and Supply Chain Finance Model

Expansive economic, production and commercial development today has made businesses and enterprises to have active presence and contribution in network-based and chain economy. Although focusing on this approach has brought some privileges and productivities for the firms which are members of networks and supply chains, it has been accompanied by various problems and complexities for financial crisis management, cash flow and flow capital amount of the foundations and their commercial partners. To overcome such problem, besides developing the concepts of supply chain management and logistics, Financial Supply Chain Management (FSCM) was also promoted to minimize inefficiencies of financial flow in supply chain using financial, engineering and management approaches, and to provide an effective management ground for cash inventory and flow capital all throughout the supply chain by making use of various tools and techniques of supply chain finance and/or SCF. Hence, by changing approach and role of financial services provider from just supplier of financial resources as the commercial partners of economic and commercial firms, it caused that a major part of managerial duties of financial flow of chain enterprises could be defined in collaboration with financial services provider, and they may be executed in a more desirable manner considering the capacities and capabilities of banks and financial institutes. Thus, regarding the significance of financial flow management in the chain and benefitting the principles and fundamentals of research by fact finding and case study, it was tried to present a framework to make use of financial flow management and its principles and fundamentals effectively by reviewing evidences as well as applicable experiences in this area. The present paper emphasized that as logistic services providers are responsible in supply chains to improve inventory level; financial services providers also have the same role concerning liquidity level in the chains. Therefore, by making coordination and integrity in the inventory flows, information and financial flows through supply chain, we can handle financial risks and provide more stable value flow in supply chain till distribution, and create a ground better for materializing objectives of the firms which are members of supply chain. Keywords: Financial Supply Chain Management, Supply Chain Finance, Supply Chain Management, Financial Services Providers. DOI : 10.7176/RJFA/10-1-03

Stochastic Optimization Models for Supply Chain Management: Integrating Uncertainty into Decision-Making Processes

This study examines how supply chain management can use stochastic optimization models to overcome the problems associated with decision-making uncertainty. The study's primary goals are reviewing the literature on stochastic optimization models in supply chain management, gaining a thorough grasp of their applications, and evaluating how well they integrate uncertainty into decision-making processes. The method includes a comprehensive assessment of the current literature body, including scholarly journals, conference proceedings, and reliable web sources to obtain pertinent data and insights. The significance of incorporating uncertainty into decision-making procedures, the adaptability of stochastic optimization models for diverse supply chain functions, and their function in augmenting supply chain resilience via proactive risk mitigation and sound decision-making are among the principal discoveries. The policy implications indicate that investments in data analytics capabilities, capacity building, training programs, and regulatory frameworks are required to facilitate the implementation of stochastic optimization models in supply chain management. This study advances knowledge in supply chain management and informs future research and practice.

Implications of Supply Chain Management (SCM): Manufacturing Industries to Service supply Industries

Supply Chain Management (SCM) has been widely researched in numerous application domains during the last three decades. Despite the popularity of SCM research and applications, considerable confusion remains as to its meaning. There are several attempts made by researchers and practitioners to appropriately define SCM. Most supply chain management (SCM) literature focuses on the manufacturing industry. On the other hand, only little literature on SCM in the service industry whereas very few research papers is on SCM in the academia. This paper represents theory and evolution of Supply Chain Management as well as highlights chronological prospective of SCM in terms of time frame in different areas of manufacturing and service industries. Basic supply chain, from raw material to finished products, for manufacturing and service industries has been demonstrated, including various intermediate parties/organizations. This paper consists of SCM in fishing industry, RMG, textiles are illustrated. Finally, this study illustrates Integrated Tertiary Educational Supply Chain Management (ITESCM) model as the application of SCM in the service industry, which would unlock other applications of SCM in different arenas, particularly service industries. Keywords: Supply chain Management, ITESCM, service industry, education, evolution, SCM

Development of integration model of supply chain management and total quality management on company performance with competitive advantage as intervening variable

This research aims to find out whether the integration with supply chain management and total quality management will provide a significant influence on company performance. The approach of supply chain management with four dimensions, namely: Strategic supplier partnership, customer relationship, Quality Information sharing, and level information sharing. Variable of total quality management is measured from Top Management, Customer focus, and continues Improvement. Variable of competitive advantage consists of two dimensions, which are Intangible Asset and Asset Tangible. As for variable of company performance measured by three indicators, financial performance, operational performance and performance-based marketplace. Data collection is gathered by distributing questionnaires’. The Analysis method used in hypothesis is Structural Equation Modeling (SEM) by using Partial Least Square (PLS). The research found that the integration of Supply Chain management and Total Quality Management have significant effect on the performance of the company.

Supply Chain Management Ubi Kayu (Manihot esculenta) di Agroindustri Tiwul Instan Kabupaten Gunungkidul

This research aims to know: supply chain management; supply chain management model; and supply chain performance of cassava in tiwul instan agroindustry, Gunungkidul Regency. This research is a descriptive study. The location of the research is determine by purposive method. Data analysis method is descriptive using Food Supply Chain Network approach (Vorst) while the supply chain performance is measured by marketing margin and farmer’s share calculation. The result of this research shows that supply chain of cassava in tiwul instan agroindustry choose the domestic market as the target market while the development target of this supply chain is improvement in technology, coordination and collaboration, and the procurenment of formal contract agreement among the chain members. Cooperation is conducted by the basic of oral contract among the chain members, the transcation system is done in cash, and there has been government support such as capital aid, equipment, and training of human resource development. The management model of supply chain consist of farmer, collectors, market traders, and tiwul instan agroindustry as the chain members whom performing different activities depending on the input and the output. The most efficient channels is SC4 (farmer (gaplek) à market trader (gaplek) à tiwul instan agroindustry). SC4 is efficient because it has a relatively low marketing margin, relatively high farmer’s share and higher benefit and cost ratio than other channels.