Supply Chain Management System Research Articles

An innovative machine learning model for supply chain management

Supply chain management (SCM) integrates all links and business processes involved in the supply chain through the information management system. Applying artificial intelligence algorithms to the SCM system can realize the visualization, automation, and intelligent management of all links in the supply chain. This can effectively help enterprises reduce operating costs and improve their ability to respond to market demands, thereby increasing overall operational efficiency. An effective member selection method is an important basis for smooth dynamic supply chain operation. To address the problem of high numbers of decision attributes and low numbers of data samples for decision analysis, this paper proposes a dynamic supply chain member selection algorithm based on conditional generative adversarial networks (CGANs). To ensure that classification performance will not be reduced, the member classification method on the chain can successfully reduce the data dimension and complexity in the classification process. Furthermore, machine learning is used for analyzing and predicting purchase and inventory links in the supply chain. For the vehicle scheduling module, the path is reasonably planned to improve the operation efficiency. The integrated implementation of the SCM system is finalized using the SSH framework.

Evaluation of Perception towards Capacity Building Programs and Workforce Skills in HIV/AIDS Supply Chain Management in Nigeria

This study on the evaluation of perception towards capacity building programs and workforce skills in HIV/AIDS supply chain management in Nigeria comprised of research objectives and questions. A structured self-completion pre-tested questionnaire (422) was administered to respondents, 396 were completed and returned, with a response rate of (93. 8%). The respondents (mostly managers, supervisors, specialists, advisors, and officers) were drawn from all levels of the HIV/AIDS supply chain sector and work, the majority from national and state levels, with significant experience and workable knowledge of supply chain management. The study revealed that perception towards capacity-building programs and workforce skills in supply chain management reflects reality and entails a good understanding of the HIV/AIDS supply chain management system, mean ± standard deviation score (3.695 ± 0.889 and 3.455±0.643) on a Likert scale of 1-5 (5-point scale) respectively. Reliability analysis was carried out, and Cronbach’s alpha (α) showed the questionnaire reached acceptable reliability, α = 0.886 (perception towards capacity building programs), and less reliable, α = 0.071 (perception towards workforce skills) in HIV/AIDS supply chain management. Inferential analysis revealed that socio-demographic characteristics such as age, years of experience, and job title/rank influence the perception of workforce skills in supply chain management (P<0.05). Federal and State Ministries of Health should ensure proper and effective supervision to prevent the workforce from having a wrong understanding of its capacity-building programs and workforce skills to avoid its harmful effect.

Sustainable Supplier Selection and Evaluation for the Effective Supply Chain Management System

With increased environmental protection awareness, sustainability has been incorporated into supply chain management. Sustainable supplier selection and evaluation have become an acritical part of supply chain management. They can significantly improve the supply chain’s operational performance and enhance enterprises’ competitiveness. Based on trapezoidal interval type-2 fuzzy numbers (TIT2FNs) and cloud probability dominance relations (PDR), manufacturers can make more tangible and environmentally friendly decisions in the SSSE process. In this paper, a SSSE indicator system is first established using the necessary economic, environmental, and social factors. The importance of the indicators described in linguistic terms is transformed into TIT2FNs, and the weight of each indicator is calculated. In order to prevent candidate suppliers from promoting performance maliciously, different weights are given according to the impact of the enterprise’s historical performance on the present. Finally, the cloud PDR method is used to determine the optimal sustainable supplier. A case study and analysis are provided to show the feasibility and superiority of the proposed method.

A comprehensive and bibliometric review on the blockchain-enabled IoT technology for designing a secure supply chain management system

AbstractBlockchain is a well-known prominent technology that has gotten a lot of interest beyond the financial industry, attracting researchers and practitioners from numerous businesses and fields. Specific uses of blockchain in supply chain management (SCM) are addressed in business practice. By combining two perspectives on blockchain in SCM, this study provides comprehensive knowledge in this field using a bibliometric approach. We will explore the worldwide research trend in related topic areas. By collecting data from the Web of Science, we collected 400 articles related to our research topic from 2016 until early 2021. We eliminated research in the form of technical reports, editorials, comments, and consultancy articles to maintain the quality of the data gathering. VOSviewer is used to create visualization maps based on text and bibliographic information. The examination uncovered helpful information, such as annual publishing and citation patterns, the top research topic, the top authors, and the most supporting funding organizations in this field.

Intelligent Logistics System Design and Supply Chain Management under Edge Computing and Internet of Things

In order to carry out practical innovation of the intelligent logistics system and promote the practicality of the intelligent logistics system and supply chain management process, this study aims to optimize the design of the intelligent logistics system and supply chain management under edge computing (EC) and the Internet of Things (IoT). The flower pollination algorithm performs the positioning function in the intelligent logistics system and supply chain management. Based on the research on the design of the intelligent logistics system and supply chain management under the EC and IoT, this thesis analyzes the positioning of intelligent logistics systems and supply chain management through the flower pollination algorithm. The eXtreme Gradient Boosting (XGBoost) model is used to predict user information in the system of supply chain management information. Finally, the operation of intelligent logistics and supply chain management systems, the prediction model of supply chain management under XGBoost, and the change of supply chain management and material flow are analyzed. The results show that with the increase in the number of iterations, the optimized algorithm improves the comparison distance error by 53.57%, which has high accuracy and can meet the requirements of positioning and tracking of the intelligent logistics system and logistics status query in supply chain management. The waiting time of the intelligent logistics system is shorter than that of the supply chain management system, and the average waiting time of the system increases by 121.252 ms. The XGBoost model can well predict user information under supply chain management. After discussing the changes of the intelligent logistics system from 2018 to 2020, it is found that the operation efficiency of the supply management system is higher with the increase of the system operation days. The intelligent logistics system has a significant impact on the development of the logistics industry. This research gives a reference for establishing the intelligent logistics system and supply chain management system.

A Framework for the Blockchain and IoT-Based Supply Chain Management System

Supply chain management (SCM) applications are being developed using blockchain technologies (BCT). This work proposes a blockchain and IoT-based supply chain system (BITS) framework to help create permanent records using smart contracts that can be shared and acted across a product supply chain in the SCM in a decentralized fashion. BITS ensures improved trust, security, transparency, and traceability among the participants aided with BCT and IoT. A demonstration of the data flow and the conceptual illustration of BITS is presented. Algorithms for node authorization and verification based on threshold values are presented. The framework has been rigorously tested for performance considering increasing malicious nodes and over various performance evaluation determining factors (i.e., computational power, memory consumption, time delay, and stability analysis based on the block arrival rate). BITS was evaluated by comparing its performance with consensus algorithm peers (i.e., PoW, PoS, and DPoS). Simulation study reveals the efficient performance of BITS under various test conditions.

Introducing ḥalāl to construction supply chains in the UK’s construction sector

PurposeThis paper is aimed at introducing ḥalāl supply chain management (SCM) to the British construction sector, construction supply chains and “SCM”. Ḥalāl supply chains can optimise British construction supply chains by promoting meticulous, qualitative and mutually reinforcing systems. The British construction sector has failed to overcome the inimical, inefficient, fractured and transactional attitudes (collectively, the “complexities”) pervading it and the supply chains beneath it. Construction SCM has been able to introduce change, but with limited profound effect. This is owed to its lack of human agency, proactive quality control systems, as well as other verification and assurance mechanisms. Introducing the Sharīʿa principles encapsulating ḥalāl food supply chains can offer the input needed to optimise current construction supply chains.Design/methodology/approachThis paper adopts an integrative general review of the academic literature pertaining to the British construction sector, construction SCM, ḥalāl food supply chains, ḥalāl assurance and control processes. The extensive literature review is crucial because it will enable introducing “ḥalāl” to construction SCM, hence ḥalāl construction supply chain management (“ḤCSCM”). ḤCSCM will then be applied to one of the most recent British construction SCM systems to identify how ḤCSCM can complement existing systems.FindingsThe findings indicate that ḤCSCM can further alleviate the complexities thwarting the British construction sector on a supply chain level. This is attributed to taʿrīf’s tailored identification and traceability processes, iltizām’s cross-lateral monitoring processes and istiqāmah’s Sharīʿa-compliant, assured and verifiable certification system, all of which complement the existing construction supply chain assurance and control processes in the UK.Originality/valueThe conception of ḤCSCM promotes an untapped area in the academic literature. Academicians and practitioners can transplant ḥalāl principles from the ḥalāl food manufacturing sector into the British construction sector – similar to how construction SCM was founded by principles originating from the manufacturing industry. This paper highlights the shortfalls of construction SCM in British construction supply chains and propounds how ḤCSCM can resolve them.

Competitiveness of the Shared Economy Model for Sustainable Management of Logistics Systems

This paper analyses the shared economy model to sustainably manage the tangible and in- tangible resources of logistics systems. A critical review of literature on the current supply chain management policy and technological platform in current use that supports it was done to suggest a new conceptual framework for logistics processes' sustainable management on a shared economy platform. This was examined according to how the concepts of new technologies influence logistics and the role of sustainable management platforms of the shared economy in enabling greater improved logistics processes. The inductive methodology approach was applied using multi-criteria analysis interpretive research method. The impact of the shared business model on each stakeholder and beneficiary varies according to how resources are consumed and its adoption according to the core business models requirements of each. Current scientific literature does not identify the impact this phenomenon has on companies in different sectors, as there is a lack of detailed analysis and evidence to fill this gap, particularly as the Internet of Things (IoT) monetize digital assets autonomously through the Economy of Things (EoT) marketplaces. From the analysis conducted, the findings provide a concept of the prototype framework required for the shared economy in the e-logistics' ecosystems rather than traditional ones, modelled using multi-criteria analysis interpretive methods as a strategic resource within the shared economy of supply chain management systems.

Blockchain-Based Cloud Manufacturing SCM System for Collaborative Enterprise Manufacturing: A Case Study of Transport Manufacturing

Sheet metal part manufacture is a precursor to various upstream assembly processes, including the manufacturing of mechanical and body parts of railcars, automobiles, ships, etc., in the transport manufacturing sector. The (re)manufacturing of railcars comprises a multi-tier manufacturing supply chain, mainly supported by local small and medium enterprises (SMEs), where siloed information leads to information disintegration between supplier and manufacturer. Technology spillovers in information technology (IT) and operational technology (OT) are disrupting traditional supply chains, leading to a sustainable digital economy, driven by new innovations and business models in manufacturing. This paper presents application of industrial DevOps by merging industry 4.0 technologies for collaborative and sustainable supply chains. A blockchain-based information system (IS) and a cloud manufacturing (CM) process system were integrated, for a supply chain management (SCM) system for the railcar manufacturer. A systems thinking methodology was used to identify the multi-hierarchical system, and a domain-driven design approach (DDD) was applied to develop the event-driven microservice architecture (MSA). The result is a blockchain-based cloud manufacturing as a service (BCMaaS) SCM system for outsourcing part production for boxed sheet metal parts. In conclusion, the BCMaaS system performs part provenance, traceability, and analytics in real time for improved quality control, inventory management, and audit reliability.

Economic Supply Chain Management System of Farm Products Industry Based on the Belt and Road under the Background of Big Data

Under the strategic background of “One Belt, One Road,” the future farm products industry will also become part of the country’s core competitiveness. Promoting the transformation of enterprises in the supply chain is conducive to cultivating the country's core competitiveness and creating good output conditions for China’s manufacturing industry. Under the national strategy of “One Belt, One Road,” the agricultural product industry is facing new development opportunities. This paper analyzes the background, significance, and existing basic problems of the “One Belt, One Road.” Starting from the economic development of the national agricultural product industry, it uses the cluster analysis algorithm to analyze the current overall economic situation of the agricultural product industry and points out the current problems in the industry. The product industry is facing greater pressure for transformation and upgrading. Finally, combined with the strategic background of “One Belt One Road,” from the perspectives of society, government, and enterprises, analyzed its supply chain process, extracted relevant problems, and put forward relevant countermeasures and suggestions from the perspective of intrachain, extrachain, and their interactive integration.

The digitalization of supply chain management in Romanian companies: an introductive research

Abstract This study aims to identify from supply chain professionals employed in different Romanian companies from various industries what the digitalization status of the supply chain is. Companies, with regard to their size and industry, are not fully digitalized and this is because their focus usually lays on their main activity line and less on the rest of the processes involving supply chain management. Digitalization is adopted differently and most companies face different problems in adopting and implementing new technology. Based on a semi-structured interview with in-depth questions, this paper investigates the digitalization status of selected firms’ supply chain management systems. Results aim to understand the future trends in the supply chain in Romania and identify some best practices with practical relevance for managers. The interviewed managers managed to bring up the digitalization state of their companies supply chain practices, what are the main barriers they need to overcome to remain competitive and also how they manage change within the employees ranks. The study identified within different industries that supply chain practices are partially digitalized and require constant development and improvement. Based on the discussions revealed by our study, professionals and academics can further explore what the implementation of cutting edge or disruptive technology involves for supply chain management in the broad context of digital transformation.

Impact of Predictive Analytics of Big Data in Supply Chain Management on Decision-Making

The beginning of information technology has led to a burst of data in every sector of operation. Handling huge volume of data to mine useful information to support decision making is one of the current sources of competitive advantage for organizations. However, preceding research literature on predictive analytics has attributed a lack of direct causal influence on predictive analytics in a manner that support Supply Chain Management in utility companies’ performance. This is as a result of huge data posing great challenges to practitioners when incorporating it into their complex decision making which adds business value. The purpose of this study was to introduce predictive analytics in supply chain management framework that enhances decision making in Kenya Power and lighting Company in Kenya. The study was guided by the following research objectives; to assess the existing predictive analytics in Supply Chain Management, to analyse existing supply chain management systems in utility companies in Kenya and to develop an integrated predictive analytics framework for big data in supply chain management for decision making in Kenya Power and lighting Company in Kenya. This research employed the Design Science research design because one of the key outcomes of the research was framework development. The study was carried out in Kenya Power & Lighting Company in Western Region in the republic of Kenya. The target population was 10 regional finance officers, 10 regional procurement officers, 47 county stores in-charges, 47 county project supervisors and 47 county business managers totalling to 161 as the sample size. The main tools for data collection were questionnaires, interview schedules and documentary review.

Spherical Linear Diophantine Fuzzy TOPSIS Algorithm for Green Supply Chain Management System

Enhancing competitive pressure is one of the most significant roles of supply chain management. The competitive environment and customer perception have shifted in favour of an ecological mentality. As a result, green supplier selection (GSS) has emerged as a critical problem. The challenge of green supplier selection striving for agility, durability, ecological sensitivity, leanness, and sustainability is tackled in this paper. In terms of recycling applications, environmental applications, carbon footprint, and water consumption, the environmental parameters evaluated in GSS and traditional supplier selection differ. Because of the form of the problem, a resolution is defined, which comprises an algorithm entrenched in the spherical linear Diophantine fuzzy sets (SLDFSs) Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) technique. Before discussing the approach of the SLDF model, some background information on SLDF sets is provided. To assure the uniqueness of this robust extension, different operations on SLDFSs are described, along with some concise interpretations to help the reader comprehend these ideas. A robust TOPSIS approach has been utilized in the issue of GSS by taking into consideration the multicriteria decision-making (MCDM) technique particularly useful in several areas, like analyzing and choosing traditional and environmental conventionalities. Due to linguistic criteria and the inability to assess all criteria, the fuzzy technique must be used with the TOPSIS method to lessen the consequences of instability and ambiguity. The spherical linear Diophantine fuzzy TOPSIS approach is employed, as it simplifies the evaluation of decision-makers and criteria. The hybrid technique resulting from integrating the SLDFS and TOPSIS is extremely successful in selecting which provider is more suited among the alternatives established on the criteria set by the order of significance, and this method may also be incorporated into similar issues.

Post-implementation challenges of ERP system in pharmaceutical companies

PurposeMany organizations failed to generate profits after investing considerable money and time in Enterprise Resource Planning (ERP) systems. This study, therefore, sought to identify the challenges encountered by pharmaceutical firms during the post-implementation of ERP systems.Design/methodology/approachA case-based study followed by general survey-based research was carried out in pharmaceutical firms to determine the critical post-implementation challenges of ERP systems. DANP (DEMATEL-based ANP) and Wilcoxon Signed Rank test were used to find the causal/critical challenges and rank them.FindingsAfter analyzing a pharmaceutical case company and conducting a general survey among pharmaceutical companies, statistical analysis was performed to identify the most significant challenges, namely, “Inefficient troubleshooting mechanism”, “Lack of training during post-implementation stage” and “Difficulty in identifying invalid data when entered into the ERP system”. Furthermore, organization-wide challenges are considered to be the most important.Practical implicationsThe paper identifies the challenges faced during the post-implementation phase of ERP systems. This work brings out the issues with ERP systems' performance after their implementation, which is related to the quality of the ERP systems. This work will support the risk identification and mitigation during ERP implementation to eradicate the problems after its implementation. This work may trigger the ERP system developers to improve its features and performance for better manufacturing and supply chain management system in pharmaceutical firms.Originality/valueThis study is uniquely conducted in pharmaceutical firms to study the benefits and challenges of adopted ERP systems. A pilot case study served as the foundation for the generalizability of other pharmaceutical firms' findings through a non-parametric test.

Implementasi Manajemen Rantai Pasok pada Industri Kue

This research is entitled "Implementation of Supply Chain Management in the Cake Industry (Case Study at Eti Snack, Kalipucang)". The writing of this research is motivated by several obstacles that are often experienced by companies. This study uses a descriptive method with a qualitative approach. The respondents consisted of the owner and five employees. The results show that: the company has implemented a supply chain management system well, suppliers are the key for the company in the sustainability of the production of various kinds of cakes, accuracy in distribution and quality of raw materials affect cake production which has implications for the quality of consumer value, and distributors act as mediators in success. the company sells products mainly for pastries. For all of this, the company is expected to continuously improve its capabilities so that it has a sustainable competitive advantage.

Analisis Rantai Pasok (Supply Chain) Komoditas Ayam Cemani (Studi Kasus Di Pakis, Kota Malang, Jawa Timur)

ABSTRACT Chicken Cemani is a local Indonesian chicken that has been worldwide. The potential of Cemani chicken is very good, apart from being a chicken used for traditional ceremonies, Cemani chicken has good production potential and has very large export prospects. However, the population is still limited causing many requests that cannot be fulfilled. Maintenance that has not implemented an integrated and traditional supply chain system causes the development of Cemani chicken agribusiness to be slow. The supply chain management system (SCM) is an integrated marketing system that includes the integration of products and actors to provide satisfaction to customers. In the Cemani chicken commodity, the actors and those involved are not clearly known. This study aims to determine the actors involved in the Cemani chicken supply chain and to find out the product flow, as well as the finances contained in the supply chain in Pakis, Malang, East Java. The study was conducted at the Cemani chicken farm in Pakis, Malang, East Java. The location selection was done purposively based on the consideration that the center of the Cemani chicken farm in Indonesia was in Pakis, Malang City, East Java. The research was conducted in November 2020. The research method used is a descriptive survey method. The method of determining respondents is purposive sampling which is based on the supply chain of a farm owned by Mr. Ihsan and Mr. Sigit. Determination of the respondents of traders and consumers in this study was carried out by snowball sampling, namely tracing the supply chain channels of the livestock owned by Mr. Ihsan and Mr. Sigit from traders to consumers in the Java area. Respondents in this study were 2 breeders. The data for product flow obtained were analyzed descriptively while for financial flows were analyzed using margin and efficiency analysis. Based on the results of the study, it is known that the actors in the supply chain of grade I and grade I Cemani chickens are breeders, traders in the city, traders outside the city and consumers. There are three marketing channels in the marketing supply chain for Cemani chicken in Pakis Malang City, namely channel I consisting of Breeders → Traders Outside Malang City → Traders in the City → Consumers. Channel II consists of Farmers → Traders in the City → Consumers and channel III consists of Farmers → Consumers. Sales use online and offline systems. The flow of finance where the selling price is the highest is the out-of-town traders belonging to Mr. Sigit at a price of Rp. 350,000 – Rp. 531,250 / head with the age of 2-5 months. The most efficient marketing channel is that farmers distribute directly to consumers. Keyword : Products flow, financial flow, local chicken

Analysis of Supply Chain Management Implementation on Amazon E-Commerce

Supply chain management itself provides a concept or mechanism that can increase the overall productivity of the company in the supply flow by optimizing the time, location, and flow of material quantities. Because one of the supply chain systems in question today is Amazon's e-commerce company, the purpose of this study is to find the implementation of a supply chain management system on Amazon's e-commerce. This research method uses a qualitative descriptive method by using relevant narratives from various trusted sources through websites or search. There are around 100 populations of E-commerce companies around the world in the 90s to 2022 with a total sample of 1 sample, namely the Amazon E-commerce company. The results show that Amazon has forced its competitors to increase aspects of supply chain automation, shorten delivery times, increase the number of warehouses, and engage in product manufacturing. With a combination of advanced information technology, extensive warehousing networks, multi-level inventory management, and reliable transportation, Amazon's supply chain is the world's most efficient leading company. There are six supply chain management applicable to Amazon e-commerce companies, namely- Outsourcing Inventory Management and Insourcing Logistics, Delivery Options To Customers, Push/Pull Strategy for Supply chain Success, Amazon's Warehouse Classes and Zones, Warehouse Automation and Supply Chain Cost.

Anti-Counterfeit Detection System Using Blockchain

Abstract: In recent years, counterfeit products have played an important role in the manufacturing industry. This affects company name, sales, and corporate profits. Blockchain technology is used to identify real products and to detect counterfeit products. Blockchain technology is a distributed, customized, and digital book that stores information in the form of blocks in multiple archives linked to chains. Blockchain technology is a secure technology so any block cannot be changed or hacked. By using Blockchain technology, customers or users do not have to rely on third-party users to ensure product security. The concept of Product Copy Management System against counterfeit products that can be used in a series of postal merchant supply chain using QR code. By using a blockchain-based application platform that will help overcome the problems associated with an effective supply chain management system and provide a way to prove product ownership. Keywords- Blockchain, QR Code, Supply Chain, Solidity, Counterfeit products.

Assessing Blockchain Adoption in Supply Chain Management, Antecedent of Technology Readiness, Knowledge Sharing and Trading Need

The present research aimed to establish a framework integrating the concept of technology readiness with variables that accomplished the blockchain adoption theory to identify the impact of blockchain adoption on supply chain transparency, blockchain transparency, and supply chain performance. The methodology used was quantitative with PLS-SEM as the analysis method. There were 295 validated datasets used. The procedure of data collection involved questionnaires. The key finding of the research confirmed the six proposed hypotheses. It was also confirmed that technology readiness, knowledge sharing, and trading needs were significant for the profitability of blockchain technology adoption in supply chain management. On the other hand, blockchain adoption played a significant role in supply chain transparency, blockchain transparency, and supply chain performance. The novelty of this research is in the integration of technology readiness into blockchain in the field of supply chain management. This research can be used to improve and analyze the success rate of blockchain adoption in supply chain management systems. The findings of this study contribute to several aspects, namely practical and academic implications, by providing more insights that correlate with blockchain integration into supply chain management systems. Doi: 10.28991/ESJ-2022-06-05-01 Full Text: PDF

A Comparative Analysis of Blockchain in Enhancing the Drug Traceability in Edible Foods Using Multiple Regression Analysis

The growing need for access to safer food items is increasing, and hence, there is a need for a better supply chain management system in the food industry is increasing. The increased complexity of the existing systems tends to introduce more issues to the stakeholders, and also, the cost of product traceability is quite high. Hence, the industry is looking for effective solutions in relation to drug traceability, and the application of Blockchain technology enables the stakeholders in the food and beverage (F&B) sector to track the movement of goods, supported in gathering the required details so that the contaminated products can be identified and recalled without much delay and lesser recall costs to protect the lives of the individuals. The tampered food items are increasing and are impacting the supply chain process, brand name of the companies, and claim assurance. They create an adverse impact on the health of the individuals and cause higher economic loss to the health-care industry. The existing studies tend to focus on laying emphasis of the need for an enhanced, effective, and end tracking systems in the industry. The emergence of Blockchain technology enables centralized tracking of information support in enhancing the data privacy and increasing transparency and support in eradicating the tampered food products in the supply chain system. These approaches leverage the usage of smart contracts and decentralize the storage of information in a secure manner for enhanced product traceability in the F&B industry. The implementation of smart contracts generates better data governance, which tends to meet the needs and requirements of the stakeholders, and applies effective measures of food traceability. The primary objective of the study is to perform an analysis of Blockchain in enhancing drug traceability in the food sector. The researcher uses quantitative analysis for the study as it helps in understanding the critical determinants influencing drug traceability in food effectively, the survey method is used to gather the information, and past reviews are also used to possess a better understanding of the subject area effectively.