An Overview of the Application of Big Data in Supply Chain Management and Adaptation in Nigeria

That the world is a global village is no longer news through the tremendous advancement in the Information Communication Technology (ICT). The metamorphosis of the human data storage and analysis from analogue through the jaguars-loom mainframe computer to the present modern high power processing computers with sextillion bytes storage capacity has prompted discussion of Big Data concept as a tool in managing hitherto all human challenges of complex human system multiplier effects. The supply chain management (SCM) that deals with spatial service delivery that must be safe, efficient, reliable, cheap, transparent, and foreseeable to meet customers’ needs cannot but employ bid data tools in its operation. This study employs secondary data online to review the importance of big data in supply chain management and the levels of adoption in Nigeria. The study revealed that the application of big data tools in SCM and other industrial sectors is synonymous to human and national development. It is therefore recommended that both private and governmental bodies should key into e-transactions for easy data assemblage and analysis for profitable forecasting and policy formation.

Research on Innovation Strategy of Supply Chain Management of Agricultural Enterprises Under the Background of Big Data

With the rapid development and widespread application of Big Data technology, the supply chain management of agricultural products enterprises is facing unprecedented reform and challenges. This study takes the perspective of Big Data technology and collects relevant information on the application of supply chain management in 100 agricultural product enterprises through a survey questionnaire. The study found that the use of Big Data can effectively improve the accuracy of demand forecasting, inventory management efficiency, optimize logistics costs, improve supplier management efficiency, enhance the overall level of supply chain management of enterprises, and propose innovative strategies for supply chain management of agricultural products enterprises based on this. Big Data technology brings a new solution for agricultural products enterprises to enhance their supply chain management level, making the supply chain smarter and more efficient.

Logistics,Supply Chain Management,and Taiwan residents Immigration Assessed in Light of Globalization

Organizations regardless of size can take advantage of the market dynamics brought about by globalization.Supply chain management is crucial for large organizations,especially with regard to the costs,complexity,and risks of its large,often global,supply chains.From technology to risk management,learning what it takes to navigate transportation and logistics business management in today’s volatile world is critical.Human migration has accelerated in light of globalization and rapid advances in transportation(particularly aviation)technology.This study investigated the connection between logistics and supply chain management in the age of globalization;reviewed the migration,settlement,and naturalization of Taiwan residents immigrants along the West Coast of the United States;and theoretically analyzed the forces that have led to the construction of the Taiwan residents immigrant community.Taiwan residents immigrants and their settlement are affected by global forces,and factors such as their cross-cultural trade,the characteristics of diasporic communities,and their national identity can provide scholarly and pedagogical insights.

Improving Supply Chain Strategies towards Mitigating the Effect of Crude Oil Theft and Pipeline Vandalism in the Nigerian Oil and Gas Industry: A Case Study of the Nigerian National Petroleum Corporation (NNPC)

Generically, SCM may be said to include all activities carried out to ensure proper functioning of the supply chain. The activities included in proper management of a supply chain broadly include logistics activities, planning and control of the flow of information and materials in a firm, management of relationships with other organizations and government intervention, However, crude oil theft and pipeline vandalism are established products supply chain disruptors in Nigeria which are rendering the task of running an efficient petroleum supply chain onerous. This paper aims to establish the importance of effective supply chain strategies for companies in the oil and gas industry with special focus on the Nigerian oil and gas sector and the strategies by which the state oil and gas corporation in this sector may mitigate disruptions to its supply chain. This study investigates the enhancement of supply chain strategies towards meeting the challenge of crude oil theft and pipeline vandalism, using the Nigerian National Corporation (NNPC) as a case study. Based on this study, data were collected from two sources: A summary of incident reports obtained from NNPC and an interview with personnel in the PPMC Department. Incident report refers to a report produced when accidents such as equipment failure, injury, loss of life, or fire occur at the work site. Content analysis is utilized to evaluate data obtained from interview responses, CBN financial stability reports, NDIC annual reports, circulars, banking supervision reports and implementation guidelines. The study found out that NNPC should endeavor to sustain its value chain and ward of pipeline vandals and crude oil thieves by engaging in community partnership, detailing security outfits to ensure its pipelines’ right of way and bridging. Concluded that the oil supply chain of the Nigerian National Petroleum Corporation has been plagued by disruptions in the form of crude oil theft and pipeline vandalism which has had debilitating effects on its value.

Enhancing Enterprise Efficiency through Cross-Domain Supply Chain Linkage Management

In recent years,with the complexity and variability of international finance,debt,and geopolitical risks,the growth rate of domestic economic operations has slowed down.More enterprise groups are facing the transformation and upgrading from domestic leadership to internationalization,achieving revenue growth of nearly 10 billion yuan per year against the trend.The severe and complex internal and external environment has brought many challenges to the supply chain for enterprises.This article focuses on the goal of an“enterprise supply chain system focusing on value creation,strengthening system linkage,and improving overall chain efficiency,”aiming to find solutions to problems such as strong demand variability,frequent emergency needs,coexistence of project shortages and inventory surplus,long material turnover cycles,and high organizational complexity.By searching for key activities in the entire business chain of demand,design,production,service,and finance,implementing source planning,process control,system linkage,analysis and summary,and team collaboration,we have achieved more scientific demand forecasting,more accurate planning,more effective procurement cost reduction,more stable production performance supply,more convenient inventory sharing services,and more efficient integration of business and financial policies.

Research on Procurement Cost Control Based on Supply Chain Management

In modern enterprise management,strengthening the control and management of procurement processes can effectively reduce operational costs.However,with the continuous reform and improvement of China’s market economy system,competition among supply chain enterprises has intensified.The traditional procurement management model is no longer able to meet the needs of enterprise development in the current era.As a result,procurement management based on supply chain management has emerged,offering significant improvements in the scientific management of procurement processes.It has become an important means of promoting the long-term development of enterprises.This paper primarily analyzes and studies procurement cost control based on supply chain management,providing insights for reference.

Automobile Transportation Logistics Supply Chain Management Strategy

To enhance the management level and quality of the automobile transportation logistics supply chain and promote innovation and development in automobile transportation logistics enterprises,it is essential to strengthen the construction of the automobile transportation logistics supply chain management model.This can be achieved through the gradual improvement of the automobile transportation logistics management process,ensuring that the management of the automobile transportation logistics supply chain proceeds in an orderly manner.The aim is to improve automobile transportation and logistics service levels while meeting the changing market supply needs.This will enable automobile transportation and logistics enterprises to maintain steady economic benefits and enhance their core competitiveness in the market.Therefore,this paper has conducted a comprehensive exploration and research on managing the automobile transportation logistics supply chain.Corresponding management strategies are proposed as a starting point to achieve the aforementioned goals.

Analysis of Information Sharing Mechanism in the Food Industry Green Supply Chain Management and Operation Process

In order to effectively address the issues of environmental pollution and food safety in food industry,the green supply chain management should be used in the food industry.However,information sharing is the basis of supply chain management.For this purpose,on the basis of describing the connotation of food industry green supply chain management,the paper introduces the contents and the effects of information sharing mode in detail.It focuses on the barriers of the implementation of information-sharing mechanisms in the food industry green supply chain management and operation process and analyzes the necessity of using information sharing mechanism among the members of the food industry green supply chain management mode by game theory,so as to strengthen the competitiveness of enterprises through supply chain management.

The Application of Busywork Flow in Supply Chain Management of Fruits

Firstly,I point out the problems in the fruit supply chain management.Then through field survey,we know that busywork flow plays a very important role in the fruit supply chain management.I establish the mathematical model,to derive that the supply chain management of corporate procurement and supply network is the optimal economic model.In terms of the performance of supply chain,I draw the following conclusions:(i) Busywork flow can achieve the supply chain management,and reduces logistics costs in the whole process of circulation;(ii) Busywork flow can improve logistics services for the customers and reduces coordination costs;(iii) The establishment of modern information system can reduce logistics costs;(iv) Busywork flow can improve distribution efficiency and reduce costs;(v) Busywork flow can reduce and avoid the costs of return of goods;(vi) The operation of the busywork flow can achieve integrated transport and business outsourcing to third-party logistics,thereby reducing costs,reducing transport links,reasonably choosing the means of transport,formulating the optimal transportation plan,improving the mode of transport,and increasing the cargo loading amount.(vii) Busywork flow promotes the use of e-commerce.I also express my own views on upgrade version of corporate procurement and supply network.Finally I point out some problems in the existing corporate procurement and supply network,and put forward the following recommendations:developing township-level 4S fruit shop according to the business development,with the functions of purchasing apple,supplying means of agricultural production,providing technical services and developing market;building " corporate ecological orchard" through holding.

Study on the Measurement Systems and Implementation Methods of Strategic Distributor's Core Competence Under Supply Chain Management

Under the circumstance of buyer’s market,the general core competence of supply chain is radically determined by the core competence of distributors facing customers directly.Based on the analysis of channel management and creation model,the traditional Manufacture-Distributor relationship is discussed including the disadvantages of common distributor Core Competence e- valuation.Meanwhile,In this paper,the Logarithm Triangular Fuzzy Number-AHP method is creatively used to evaluate the strategic distributor Core Competence evaluation index system.This method also overcomes some disadvantages that experts can di- rectly give definite numbers when the traditional AHP method is used to value certainty and measure the qualitative index.More important,it is a scientific qualitative and quantitative evaluation tool.Then the real cases are researched based on all discussions above.

Problems and Countermeasures in the Supply Chain Management of Flower Industry in Yunnan Province

On the basis the elementary theory of supply chain management,the features and problems in the supply-chain management of flowers in Yunnan Province are analyzed.The problems include poor image of flowers caused by low-end package,imperfect supply-chain structure,and weak processing section after harvesting flowers,hard to launch the cold chain transportation and inadequate awareness of enterprises on consumers.The countermeasures are put forward,which include perfecting various kinds of supply chain structure;intensifying the information system management of flowers in Yunnan Province;developing the cold chain logistics and cultivating and supporting the third-party logistics of flower industry in Yunnan Province.

Methods of vendor managed inventory control in supply chain management

By inducing the typical inventory control problem - the bullwhip effect, this paper presents vendor managed inventory (VMI) control methods on the basis of traditional methods of inventory management methods, constructs a VMI mathematics model, and analyzes the influence of VMI on inventory cost and channel profit. Finally, a special case is studied to verify that VMI is an effective supply chain strategy that can not only increase channel profit of supplier and customer but also improve full channel coordination, thereby reducing the bullwhip effect.

Improving the Performance of Urban Waste Management Systems in the Context of a Closed-Loop Supply Chain

The saving of non-renewable energies, as well as the reduction of emissions into the environment, are two crucial objectives of industrial production. The recovery of post-consumer products associated with the use of end-of-life products is part of a context of optimization of these objectives. This recovery maximizes the use of resources from end-of-life products in a circular logic while recording the environmental footprint. This study considers a recycling strategy adapted to the need and urgency to reduce greenhouse gas emissions caused by global warming. The proposed model aims to optimize the profits of the circular manufacturing strategies while minimizing operational costs (collection, sorting, recycling), transport, GHG emissions and recycling. In this paper, a compromise between the gains of CM and the costs associated with it was studied. The robustness of the designed model was tested using a case study based on real-world scenarios. A sensitivity analysis was carried out to study the impact of the emission cost on the overall objective, considering the two options currently offered to industries. The obtained results support companies to take the ecological aspect into account and integrate sustainable development into their strategic axes for their logistics supply chains.

Measuring the Impact of Information Technology （IT） on Supply Chain Management （SCM） Through Indicators： An Exploratory Study

Enterprises are looking to adapt to this scenario focusing on performance, seeking to improve the level of service and reduce costs in an attempt to differentiate and increase the perceived value of their customers. A strong partner to achieve these goals is the information technology （IT）. IT has an important role in the performance of companies, providing a flow of information that makes the supply chain more robust and resilient, without compromising efficiency. To achieve the objective of this research, a survey of the literature on the four models was studied and then a field research with professionals was conducted in the areas of IT and supply chain management （SCM） of various companies of Sao Paulo. To collect the data needed for analysis, we used the exploratory research of a qualitative nature. Thus, we conclude that the use of IT impacts supply chain in five surveyed areas as planning, manufacturing, suppliers, customers, and delivery but does not impact the return area.

Solution and Application Development of the Supply Chain Management System in SINOPEC

SINOPEC is an integrated energy and chemical company engaging in upstream,midstream and downstream operations. The business of SINOPEC covers E&P of oil and gas, refining,chemical production, as well as sales and marketing of refined oil products. In the field of oil andnatural gas exploration and development, there are 13 upstream subsidiaries in SINOPEC. By the endof 2003, the proven reserves of crude oil were 3,257 mmbbls, and natural gas reserves totaled2,887.6 bcf. The oil and gas production in 2003 included 270.96 mmbbls of oil and 187.7 bcf ofnatural gas. In the area of middle-stream operation, SINOPEC has 33 refineries. The total capacityof crude distillation is 153.9 million tons/year, about 51% of the total distillation capacity inChina. In 2003, 123.5 million tons of crude oil was processed, around 53% of total crude processedin China.

The Impact of Electronic Supply Chain Management Usage on Firm’s Performance

This study investigates the status of e-SCM and performance among Jordanian manufacturing sector. The objective of this study is to analyze the impact of trust and communication on the e-SCM usage. Moreover, the study investigates the effect of the trust and communication on the firm’s performance while the e-SCM usage is used as a mediating factor on firm’s performance. The proposed research model was validated by distributing 250 survey questionnaires to the manufacturing sector in Jordan. Structural equation modelling (SEM) technique was used to analyze the results. One of the main limitations of this study was that the results could not be universal since the study was limited to Jordan. We discussed the implications of our results for research and practice.

SUPPLY CHAIN DISRUPTION MANAGEMENT WITH MULTIPLE COMPETING RETAILERS

As for the supply chain consisting of a manufacturer and multiple competing retailers, the disruption management decision is considered for the demand disruption that both the investment sensitivity coefficient and the investment-elasticity are changed simultaneously. Meanwhile, the corresponding solutions are given for different cases of the disruption, and the characteristics of the solutions are analyzed. The production plan is proved to he robustness under certain conditions, and the production plan of the coordination strategy is investigated for the disruption with appropriate contractual arrangement, i. e. , a subside rate schedule. Mutual restraints exist between the changed investment sensitivity coefficient and the investment-elasticity when the coordination mecha- nism is used. And the more the number of the retailers in the system, the more the subside provided by the suppler on the coordinaton strategy.

The Research of Supply Chain Management Resource Model

Considering the harder and harder competition among enterprises, this paper puts forward the Resource model of supply chain （RBV） to enhance competitive advantages, then analyses the source of supply chain competitive advantages and introduce the advantage formula. Finally, the rent contribution to supply chain management is explained in detail.

Analyzing the Construction of the International Logistics Supply Chain Management Model from the Perspective of Cross-Border E-commerce

Cross-border e-commerce has progressively evolved with the deepening of economic globalization,and it now holds a significant place in the field of e-commerce.However,due to China’s late entry into the international logistics supply chain,there are issues such as complex environment,uneven information technology,and disagreements on standards,resulting in certain cross-border e-commerce disadvantages in China.Therefore,in this context,this study analyzes the construction of international logistics supply chain management model from the perspective of cross-border e-commerce,so as to provide some reference for the development of China’s international logistics supply chain.

A Proposed Feature Selection Particle Swarm Optimization Adaptation for Intelligent Logistics--A Supply Chain Backlog Elimination Framework

The diversity of data sources resulted in seeking effective manipulation and dissemination.The challenge that arises from the increasing dimensionality has a negative effect on the computation performance,efficiency,and stability of computing.One of the most successful optimization algorithms is Particle Swarm Optimization(PSO)which has proved its effectiveness in exploring the highest influencing features in the search space based on its fast convergence and the ability to utilize a small set of parameters in the search task.This research proposes an effective enhancement of PSO that tackles the challenge of randomness search which directly enhances PSO performance.On the other hand,this research proposes a generic intelligent framework for early prediction of orders delay and eliminate orders backlogs which could be considered as an efficient potential solution for raising the supply chain performance.The proposed adapted algorithm has been applied to a supply chain dataset which minimized the features set from twenty-one features to ten significant features.To confirm the proposed algorithm results,the updated data has been examined by eight of the well-known classification algorithms which reached a minimum accuracy percentage equal to 94.3%for random forest and a maximum of 99.0 for Naïve Bayes.Moreover,the proposed algorithm adaptation has been compared with other proposed adaptations of PSO from the literature over different datasets.The proposed PSO adaptation reached a higher accuracy compared with the literature ranging from 97.8 to 99.36 which also proved the advancement of the current research.