Supply Chain Management Techniques Research Articles

Supply Chain Management on Technology Adoption

The main drive of this education was to verify the part of technology in supply chain management practices and operational efficiency in the dairy sector. The total number of defendants in the dairy sector cutting-edge this education was 150. The investigation information was analysed using the SmartPLS technique. The consequences of this education are: supply chain management practices had a significant and optimistic influence on technology adoption; technology adoption had an important and positive impact on operational efficiency; and supply chain management practices had a important and optimistic influence on operational efficiency, consequently the unintended association amid supply chain management performs and technology can be a mediator of operational efficiency. The study "Impact of Supply Chain Management (SCM) Practices on Operational Efficiency through Technology Adoption in the Dairy Sector" delves into the complex interplay between SCM practices and technological integration in the dairy sector. The abstract of this education highlights this communication. The purpose of this study is to find out how the dairy industry's operational efficiency can be improved by implementing cutting-edge technologies in supply chain operations. The study takes a broad approach, looking at different SCM techniques and the technology modifications that accompany them. The research aims to determine the critical elements impacting the effective integration of SCM techniques and technology by examining data and case studies from the dairy industry.

Analyzing how government spending, incentives, and supply chains affect financial performance in energy poverty alleviation.

Poor access to modern energy services, or energy poverty, continues to be a significant barrier to socioeconomic progress and well-being. The complicated connections between public investment, incentives, supplier chains, and the financial success of energy poverty alleviation efforts are explored in this paper. This research examines the history of eradicating energy poverty worldwide, particularly in China. It examines how these aspects affect the efficiency and long-term viability of reducing energy poverty initiatives. This research synthesizes the evidence on government expenditure patterns and their impact on initiatives to reduce energy poverty via an extensive literature examination. The development of infrastructure, capacity building, and the deployment of energy technology are all made possible in large part by government spending. Financial and regulatory incentives have also been shown to encourage the energy industry's private sector engagement and innovation. These incentives help expand underprivileged groups' access to electricity by creating an atmosphere conducive to investment. This research also examines supply chains' crucial role in combating energy poverty. For the effective installation and upkeep of energy projects, efficient and resilient supply chains are crucial because they guarantee the availability of vital materials and resources. An integrated supply chain strategy may improve project results, save costs, and eliminate risks related to logistical difficulties. Government funding, incentives, and supply chains all have a connection that affects how well energy poverty alleviation programs function financially. Maintaining projects after their first execution requires sustained financial performance. It explores how supply network interruptions may affect financial performance, highlighting the need for robust supply chain management techniques. As a result, this study adds to a comprehensive knowledge of the complex processes underpinning the reduction of energy poverty. It offers insights into developing efficient policies and strategies by examining how government actions, incentives, supply chains, and financial performance interact. These observations are relevant for practitioners, investors, and academics trying to increase access to sustainable energy sources and reduce poverty in addition to policymakers. This report provides helpful recommendations for boosting the effectiveness and endurance of energy poverty reduction activities as nations work to reach global sustainable development objectives.

The Impact of Green Supply Chain Management Practices on Environmental Performance Metrics in Retail Organizations

The relationship between environmental performance measures and Green Supply Chain Management (GSCM) techniques in the retail industry is examined in this study. A large sample of retail companies' GSCM adoption rates and related environmental indicators were examined using a quantitative study design. The results showed that there were notable differences in the adoption of GSCM, and that organizational commitment affected sustainability initiatives. Adoption of GSCM at high levels was positively connected with positive environmental effects, consistent with previous research. The research highlights the significance of customized sustainability strategies and offers practical advice to retail establishments looking to improve their environmental stewardship in response to changing consumer demands.

Assessing risk and sustainability factors in spice supply chain management

The inopportune organization of spice supply chains (SSCs) results in aided risks, resource wastages, and sustainability issues. Nevertheless, practitioners and academicians alike must investigate spice supply chain management (SSCM) in terms of long-term sustainability. This study draws on the available literature to compile a collection of characteristics and maintain sustainable spice supply chain management techniques which come up with associated risks and relevant obstacles. Existing studies claim that due to a lack of resources, the associated risks are the root of poor SSCM performance. As a result, the goal of this study is to identify the primary risk variables using qualitative data; nevertheless, the attributes must be converted into a scale that is comparable. The fuzzy Delphi method (FDM) was used to obtain valid and reliable attributes from qualitative data, while the fuzzy decision-making trial and evaluation laboratory (FDEMATEL) was used to address uncertainty and interrelationships simultaneously. FDM results suggest that there are eighteen critical risk variables and seven risks threatening effective SSCM. FDEMATEL results reveal qualitative data translated into crisp, comparable values in order to investigate causal linkages between variables and confirm the compatibility of the theoretical structure with industry realities. The findings show fluctuation in the Price (C8), diseases and pests (C20), human contamination (C23), spice adulteration (C24), and loss of food quality, and quantity (C36) are all important risks and sub-risks in these causative interrelationships. The primary risks involved in enhancing SCM include Financial Risk (A5), Ergonomic Risk (A8), and Operation and Management Risk (A10). The study recommends that industry professionals use future marketing tools to protect themselves from price changes which allow them to assess supply and demand circumstances and manage price risks over distance and time. Spices are the key contributors to earning a sizable amount of foreign currency through export in a developing country. It suggests to policymakers, regulatory organizations, and practitioners to develop regulations, raise farmer understanding about pest control, impose stiff penalties on vendors and businesses proven to be involved in spice adulteration, and develop a sustainable fertilizer distribution system. These corresponding action plans for improving the SSC sector and comparing it with agro-food and short-supply chains are investigated. This study contributes to theory by utilizing FDM and FDEMATEL methods for addressing the uncertainty and interrelationship among associated risks that hinder SCM from attaining sustainability.

Supply Chain Management Techniques Using Big Data for Agro-Based Food Products in Bangladesh

Supply Chain Management Techniques Using Big Data for Agro-Based Food Products in Bangladesh

Supply Chain Management Practices and Supply Chain Integration on Organizational Performance: The Mediation Role of Competitive Capabilities

Purpose- This study's goal is to ascertain how competitive capabilites through supply chain management and supply chain integration affect organizational performance. Design/Methodology/Approach- Structural Equation Modeling, assisted by the Smart PLS program, is the data processing technique utilized in this study to examine the impact of the indicators of each of the aforementioned variables on Batik Micro, Small and Medium Enterprises in the Special Region of Yogyakarta. By distributing questionnaires, the researchers were able to collect data from up to 65 respondents. Findings- The findings of this study demonstrate that supply chain management and supply chain integration have a favorable impact on organizational performance, and that competitive skills can mediate that effect. Research limitations/implications- The study's findings are anticipated to serve as a guide and source of knowledge for business players, particularly Batik Micro, Small, and Medium Enterprises in Special Region of Yogyakarta, who are expected to understand that in order to enhance the performance of their enterprise, attention must be paid to elements that may have an impact. This study demonstrates that competitive competencies, supply chain integration, and supply chain management techniques are all elements that can impact a company's performance. Originality/value- There are still very few studies on supply chains and organizational performance in micro, small, and medium-sized businesses, particularly Batik. In this study, characteristics that are thought to have an impact on the number of Batik Micro, Small, and Medium Enterprises in a Special Region of Yogyakarta are revealed.

Hunger games search optimization with deep learning model for sustainable supply chain management

The supply chain network is one of the most important areas of focus in the majority of business circumstances. Blockchain technology is a feasible choice for secure information sharing in a supply chain network. Despite the fact that maintaining security at all levels of the blockchain is difficult, cryptographic methods are commonly used in existing works. Effective supply chain management (SCM) offers various benefits to organizations, such as enhanced customer satisfaction, increased operational efficiency, competitive advantage, and cost reduction. Potential SCM for agricultural and food supply chains needs distributors, coordination and collaboration among farmers, retailers, and stakeholders. The use of technology like Block Chain (BC), sensors, and data analytics, can boost traceability and visibility, decrease waste, and ensure safety and quality throughout the supply chain. Therefore, this study develops a Hunger Games Search Optimization with Deep Learning Model for Sustainable agricultural and food Supply Chain Management (HGSODL-ASCM) technique. The fundamental goal of the HGSODL-ASCM technique is to improve decision-making processes for agricultural and food commodity production and storage in order to optimise revenue. In the provided HGSODL-ASCM technique, a bidirectional long short-term memory (Bi-LSTM) model is built to determine the amount of productivity and storage required to maximise profit. In order to boost the performance of the Bi-LSTM classification process, the HGSO algorithm has been utilized in this work. The presented HGSODL-ASCM technique can independently achieve the SCM policies via interaction with complicated and adaptive environments. A brief set of simulations were performed to ensure the improved performance of the HGSODL-ASCM technique. The simulation results demonstrated how superior the HGSODL-ASCM method is to other methods already in use.

Sustainability‐related supply chain risks and supply chain performances: The moderating effects of dynamic supply chain management practices

AbstractIn recent years, the supply chain has undergone significant transformations due to various factors such as globalization, the COVID‐19 pandemic, advancements in information technology, outsourcing, and offshore production. These changes have made the supply network more complex, particularly with regards to sustainability issues, and have increased the vulnerability of the supply chain to sustainability‐related risks. However, despite the growing importance of sustainability‐related supply chain risks (SSCRs), there is a lack of understanding and inadequate research on critical aspects in the existing literature on this topic, such as how firms in volatile and demand‐driven sectors cope with SSCRs and how these risks affect the firms' operational performance. To address this gap, this study investigates the impact of sustainability‐related supply chain risks on suppliers, customers, and the economic performance of businesses in the garment industry in Vietnam. Using a sample of 254 garment companies, this study aims to develop a comprehensive measuring scale for supply chain sustainability risk and evaluates the effectiveness of dynamic supply chain management techniques in mitigating the impact of sustainability‐related risks on firm performance characteristics. The findings of this research reveal that there is a risk–return trade‐off for economic hazards, while no such trade‐off is observed for social and environmental hazards. Furthermore, we find that supplier management and supply chain integration methods can assist in the management of environmental hazards, leading to a positive outcome for both businesses and the environment. The research results provide both theoretical and managerial implications for mitigating the risks associated with sustainability in the supply chain. The results suggest that effective management of sustainability‐related risks can result in a win‐win scenario for both businesses and the environment.

A game theory data science-based mechanism for licensed pharmaceutical products concerning their deterioration: a case of a micro, small, and medium enterprise in Iran.

One of the main characteristics of health systems and pharmaceutical supply chains is their significant costs in the public sector, which has forced governments and companies active in this field to find ways to reduce costs. In this paper, the deterioration of imported pharmaceutical items is investigated as one of the challenges of the supply chain of pharmaceutical firms. Specifically, the micro, small medium enterprise (MSME), and a collaborative strategy to reduce its costs is presented. The technical solution of the cooperative strategy is the formation of a partnership alliance between the foreign patent holder of brand drugs and a domestic manufacturer through an exclusive license contract in the local country. This leads to a significant reduction of costs in the distribution network of the pharmaceutical supply chain. On the other hand, supply chain management techniques in the cooperative strategy provide the necessary motivation for its practical implementation by splitting fair profits between producers and other members, namely local government, distributors, and pharmacies. For these purposes, a cooperative game theory-based contract is utilized to set the parameters of the license agreement, and then a profit-sharing mechanism is introduced that splits the benefits of cooperation among the supply chain members based on their afforded costs. The most important contribution of the current research is to propose an integrated framework that combines the logistics network models, valuation methods, and profit split mechanisms that embody more facts from real-world problems than separate models in this regard in previous studies. Moreover, results of the proposed strategy in the supply chain of a drug for thalassemia patients in Iran indicate the effectiveness of the proposed strategy in reducing costs and deterioration. Further, it is shown that the higher the ordering costs of the imported drugs, the lower the market share of the patent holder, and the lower the financing expenses of the cooperative alliance, the more efficient is the proposed strategy.

Improving hospital material supply chain performance by integrating decision problems: A literature review and future research directions

Logistics costs are the second largest cost for hospitals, so effectively managing the hospital material supply chain provides significant opportunities for improvement. In order to optimise supply chain performance, strategic, tactical and operational decisions (e.g. location, inventory, routing) of the different echelons should be made in an integrated way. Large efficiency improvements and cost reductions are possible through the application of holistic supply chain management, while at the same time maintaining a high quality of care. In addition, real-life features that distinguish the hospital supply chain from other contexts should be included in the decision-making process (e.g. patient safety, perishability, stochasticity). In this paper, an extensive literature review on integrated decision making in hospital supply chains is conducted. The focus is on quantitative research papers dealing with the integration and optimisation of two or more hospital material supply chain decisions as a way to improve operational performance and reduce logistics costs. This paper is the first to provide a comprehensive and structured overview of the existing literature on integrated decision making within the entire hospital supply chain. Existing literature is classified based on both general and real-life problem characteristics that distinguish the healthcare setting from other industries. The insights can direct and facilitate future research on this topic, enhance the applicability of existing supply chain management techniques to a real-life hospital supply chain and, consequently, improve hospital supply chain performance.

The Supply Chain Management Mechanism for Materials Procurement in The Construction Industry

Supply chain management is now widely used in business, especially in the manufacturing sector. The same principles being applied to the construction industry demonstrates how pervasive and persistent issues are. Since building materials are essential to the construction industry and are used in all types of projects, regardless of the client's original concept, the significance of this study is on the manufacturing of building materials. Although supply chain management appears to be a complicated system comprising numerous vendors, contractors, and subcontractors, it holds great promise for achieving the successful integration of different disciplines and stakeholders. The supply chain management for building materials is being examined using a quantitative methodology. The capability of procurement to allocate resources in a way that supports organizational dynamics and policy. As a result, the greatest mean value (4.37), which represents the range of the variables, best captures the individuality of construction projects (the construction of each project is different in size, resources, and implementation on method). The respondents all agreed that the range of factors influencing supply chain management, which has the highest mean of these features, is what makes construction projects unique. An inadequate organizational structure came in third with a mean of 4.30, trailing only the absence of an acceptable information technology system, which came in second with a mean of 4.36. As a result, supply chain management and procurement is a hotly debated subject for raising performance and quality. Several companies or organizations need the computer-based system to test the most recent supply chain management techniques as part of future research. A technique for the effective and efficient control and monitoring of the purchasing function is procurement that buys performance.

Supply Chain Management Techniques Using Big Data for Agro-based Food Products in Bangladesh

Supply Chain Management Techniques Using Big Data for Agro-based Food Products in Bangladesh

Kajian Supply Chain Porang Sebagai Komoditi Ekspor Unggulan Desa Mundeh, Belatungan dan Batungsel Kabupaten Tabanan Propinsi Bali

The impact of the Covid-19 has caused the sectors: tourism, trade, manufacturing industry, to experience a slump. But behind that there is still hope in the agricultural sector, where agricultural exports continue to grow 15.4% in 2020 and 16.4% in 2021. This is supported by exports of the commodity porang. Porang received full attention from President Joko Widodo, he instructed the Minister of Agriculture to make porang a mainstay export commodity. In 2020, porang exports were 20,476 tons with an export value of Rp.924.3 billion. Indonesia is only able to serve 20% of the world's porang needs. In 2020, Bali is only able to meet the export of 185 tons of porang from the total demand of 750 tons per year for China. Seeing this opportunity, the people of Mundeh, Belatungan and Batungsel villages planted porang. However, problems arise during the harvest season, many porang are not sold. Problem: How is the flow of the porang supply chain. Research Objectives: To find out the porang supply chain starting from farmers, collectors, factories and suppliers. Research Methods: Qualitative Exploratory with Supply Chain Management techniques. The results of the study indicate that there is a flow of material, information and finance from the level of farmers, middlemen, suppliers, factories and buyers.

Big Data in Supply Chain Management: A Systematic Literature Review

Big data analytics (BDA) have the potential to improve upon and change conventional supply chain management (SCM) techniques. Using BDA, organisations need to build the necessary skills to use big data effectively. Since BDA is relatively new and has few practical applications in SCM and logistics, a systematic review is needed to emphasise the most significant advancements in current research. The objectives are to evaluate and categorise the literature that addresses the big data potential in SCM and the current practises of big data in SCM. The Systematic Literature Review (SLR) was conducted to analyse several published papers between 2017 and 2022. It follows four steps: the literature collection, descriptive analysis, category selection, and material evaluation in a systematic review. The finding reveals that BDA has been applied in many supply chain functions. Furthermore, integrating BDA in SCM has several advantages, including improved data analytics capabilities, logistical operation efficiency, supply chain and logistics sustainability, and agility. Finally, the study emphasises the importance of using BDA to support the success of SCM in businesses.

Virtual Manufacturing: Critical Capabilities and Their Organizational Performance Implications

Virtual manufacturing (VM) is an emerging manufacturing practice that is increasingly popular among manufacturers. The success of VM requires an in-depth understanding and innovative applications of operations strategies, supply chain management techniques, and business dynamics. In this article, we identify the critical capabilities of VM firms and their organizational performance implications. We first compiled two lists of potential critical capabilities from the academic and practical perspectives. From the lists, we identified nine and six initial constructs of capabilities and organizational performance measures, respectively. Based on the identified constructs, we designed a structured survey questionnaire and conducted an organizational-level field study. Obtaining 150 valid responses, we analyzed the data by exploratory factor analysis to ascertain the critical capabilities and organizational performance measures and by multiple regression analysis to examine their relationships. The data analysis yielded four critical capabilities, namely <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">technological capability</i> , <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">marketing capability</i> , <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">dynamic capability</i> , and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">relationship capability</i> , and four organizational performance measures, namely <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">personnel performance</i> , <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">corporate social responsibility performance</i> , <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">relationship performance</i> , and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">marketing performance</i> . We found that relationship capability was the most prominent among the four critical capabilities. Finally, we conducted a case study of a pioneering VM firm to validate the empirical findings from the practical perspective.

New Vogel’s Approximation Method (NVAM) to Determine Better Feasible Solution of Transportation Problem

Nowadays, getting substantial results for problems in operations research is crucial. The transportation problem can be solved very effectively with Vogel's Approximation Method (VAM) and discover a workable solution that is closer to the ideal solution. The basic principle of VAM is to allocate as many resources as possible to the cell with the smallest cost in the column or row with the greatest penalty. This cell will receive the maximum number of resources. A problem arises when the magnitudes of the least cost and the next-least cost are identical. Then, we devised a new method called the "New Vogel's Approximation Method (NVAM)" to provide a workable solution to the transportation problem that may then be used to determine the optimal solution. Transporting capacity to the required location is done by three distinct companies. The supply chain's participants seek to move their goods from warehouse to distribution centre, from plant to warehouse, and from distribution centre to retail store. In this study, the VAM method and the NVAM approach are used to determine the optimal transportation cost. These techniques are examined to provide potential supply chain management techniques.

Supply Chain Management of PT HM Sampoerna Indonesia

Background: The mission of PT HM Sampoerna is to give adult smokers in Indonesia the best smoking experience possible. One of the reasons for the company's success is the work of supply chain management within PT HM Sampoerna. Aim: The goals of this study are to see what factors influence supply chain management techniques in the cigarette sector in Indonesia, with a focus on PT HM Sampoerna Indonesia, to create supply chain management practices in PT HM Sampoerna, to evaluate the efficacy of PT HM Sampoerna's supply chain management, and to identify factors impacting supply chain management in PT HM Sampoerna. Method: This research employs case study research, direct interviews with corporate employees, and secondary approaches such as industry and company websites. Findings: The management of the supply chain is generally highly successful. Because they only employ one distributor, PT HM Sampoerna's supply chain management is distinctive. PT Sampoerna gained various benefits that influence the performance of the organization after unifying its supply chain management.

Industry 4.0-driven operations and supply chains for the circular economy: a bibliometric analysis

The Industry 4.0 (I4.0) concept paves the way for the circular economy (CE) as advanced digital technologies enable sustainability initiatives. Hence, I4.0-driven CE-oriented supply chains (SCs) have improved sustainable performance, flexibility and interoperability. In order to smoothly embrace circular practices in digitally enabled SCs, quantitative techniques have been identified as crucial. Therefore, the intersection of I4.0, CE, supply chain management (SCM) and quantitative techniques is an emerging research arena worthy of investigation. This article presents a bibliometric analysis to identify the established and evolving research clusters in the topological analysis by identifying collaboration patterns, interrelations and the studies that significantly dominate the intersection of the analysed fields. Further, this study investigates the current research trends and presents potential directions for future research. The bibliometric analysis highlights that additive manufacturing (AM), big data analytics (BDA) and the Internet of Things (IoT) are the most researched technologies within the intersection of CE and sustainable SCM. Evaluation of intellectual, conceptual and social structures revealed that I4.0-driven sustainable operations and manufacturing are emerging research fields. This study provides research directions to guide scholars in the further investigation of these four identified fields while exploring the potential quantitative methods and techniques that can be applied in I4.0-enabled SCs in the CE context.

RETRACTED: Recycling in Textile Sector: A New Circular Economy Approach Towards Ecology and Environmental Sustainability

Sustainable supply chain management techniques have been developed over the last several decades to reduce accidental environmental damage during production and buying. Certifying a practical connection between ecosystems and economic development, circular economies push the limits of environmental sustainability. There are two types of rebound effects in the studied business. The impacts of circular business models and strategies are examined and put in a broader framework to get a better understanding of their role in the transition. In order to put transitory changes in a system perspective, this work approach to the problem in new way. Rebound effects and designing an eco-effective transition are discussed as theory-building elements. We conclude by suggesting several future research directions.

Analysis of Supply Chain Management in the Automotive Industry

Over the years, there has been a plethora of changes in the international automotive world. The advancement in production and management systems have revolutionized the automobile industry. Several marketplaces have opened up and grown since the industry started. Now, the auto industry is facing new and crucial problems. The industry is changing because of globalisation, digitalization, and more competition in the market. The purpose of this study is to understand the development of supply chain management in the automotive industry. This study analyses the developments and the problems faced by the automotive industry from the year 1995 to 2022 in supply chain management. We see it develop from using traditional techniques such as built to stock method to transitioning to build to order technique using advanced technology, planning systems and operations research techniques. The industry uses a wide array of methods to create an integrated pipeline to streamline the flow of goods. They also incorporate Sustainable Supply Chain Management (SSCM) procedures and green supply chain management techniques into the conventional supply chain to create a sustainable supply chain and reduce the carbon footprint. This review paper contributes to the literature by analysing existing research, identifying existing research gaps and proposing new future research opportunities in the area of supply chain management in the automotive industry. Keywords: Supply Chain Management, Automotive Industry, Sustainable, Blockchain, Automotive Industry