Data Mining for Supply Chain Management in Complex Networks

2001 ◽  
pp. 173-193 ◽  
Author(s):  
Manoj K. Singh ◽  
Mahesh S. Raisinghani
Keyword(s):  
Data Mining ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Complex Networks ◽  
Business Processes ◽  
Operating Efficiency ◽  
Chain Management ◽  
Making Sense ◽  
Large Databases ◽  
Very Large Databases

The concept and philosophy behind supply chain management is to integrate and optimize business processes across all partners in the entire production chain. Since these are not simple supply chains but rather complex networks, tuning these complex networks comprising supply chain/s to the needs of the market can be facilitated by data mining. Data mining is a set of techniques used to uncover previously obscure or unknown patterns and relationships in very large databases. It provides better information for achieving competitive advantage, increases operating efficiency, reduces operating costs and provides flexibility in using the data by allowing the users to pull the data they need instead of letting the system push the data. However, making sense of all this data is an enormous technological and logistical challenge. This chapter helps you understand the key concepts of data mining, its methodology and application in the context of supply chain management of complex networks.

Data Mining for Supply Chain Management in Complex Networks

2005 ◽  
pp. 708-713
Author(s):  
Mahesh S. Raisinghani ◽  
Manoj K. Singh
Keyword(s):  
Data Mining ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Business Processes ◽  
Supply And Demand ◽  
Organizational Level ◽  
Order Fulfillment ◽  
Chain Management ◽  
Planning And Control ◽  
And Control

Supply chain comprises the flow of products, information, and money. In traditional supply chain management, business processes are disconnected from stock control and, as a result, inventory is the direct output of incomplete information. The focus of contemporary supply chain management is to organize, plan, and implement these flows. First, at the organizational level, products are manufactured, transported, and stored based on the customers’ needs. Second, planning and control of component production, storage, and transport are managed using central supply management and replenished through centralized procurement. Third, the implementation of the supply chain involves the entire cycle from the order-entry process to order fulfillment and delivery. Data mining can create a better match between supply and demand, reducing or sometimes even eliminating the stocks.

Data Mining for Supply Chain Management in Complex Networks

2008 ◽  
pp. 2468-2475
Author(s):  
Mahesh S. Raisinghani ◽  
Manoj K. Singh
Keyword(s):  
Data Mining ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Business Processes ◽  
Supply And Demand ◽  
Organizational Level ◽  
Order Fulfillment ◽  
Chain Management ◽  
Planning And Control ◽  
And Control

Supply chain comprises the flow of products, information, and money. In traditional supply chain management, business processes are disconnected from stock control and, as a result, inventory is the direct output of incomplete information. The focus of contemporary supply chain management is to organize, plan, and implement these flows. First, at the organizational level, products are manufactured, transported, and stored based on the customers’ needs. Second, planning and control of component production, storage, and transport are managed using central supply management and replenished through centralized procurement. Third, the implementation of the supply chain involves the entire cycle from the order-entry process to order fulfillment and delivery. Data mining can create a better match between supply and demand, reducing or sometimes even eliminating the stocks.

Classification of Operational and Financial Variables Affecting the Bullwhip Effect in Indian Sectors: A Machine Learning Approach

2019 ◽  
Vol 12 (3) ◽  
pp. 171-179 ◽  
Author(s):  
Sachin Gupta ◽  
Anurag Saxena
Keyword(s):  
Machine Learning ◽  
Data Mining ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Product Life Cycle ◽  
Consumer Preference ◽  
Bullwhip Effect ◽  
Machine Learning Techniques ◽  
Chain Management ◽  
Financial Variables

Background: The increased variability in production or procurement with respect to less increase of variability in demand or sales is considered as bullwhip effect. Bullwhip effect is considered as an encumbrance in optimization of supply chain as it causes inadequacy in the supply chain. Various operations and supply chain management consultants, managers and researchers are doing a rigorous study to find the causes behind the dynamic nature of the supply chain management and have listed shorter product life cycle, change in technology, change in consumer preference and era of globalization, to name a few. Most of the literature that explored bullwhip effect is found to be based on simulations and mathematical models. Exploring bullwhip effect using machine learning is the novel approach of the present study. Methods: Present study explores the operational and financial variables affecting the bullwhip effect on the basis of secondary data. Data mining and machine learning techniques are used to explore the variables affecting bullwhip effect in Indian sectors. Rapid Miner tool has been used for data mining and 10-fold cross validation has been performed. Weka Alternating Decision Tree (w-ADT) has been built for decision makers to mitigate bullwhip effect after the classification. Results: Out of the 19 selected variables affecting bullwhip effect 7 variables have been selected which have highest accuracy level with minimum deviation. Conclusion: Classification technique using machine learning provides an effective tool and techniques to explore bullwhip effect in supply chain management.

E-commerce supply chain management mode based on management information security

2021 ◽  
pp. 1-8
Author(s):  
Chao Liu ◽  
Kaida Qin
Keyword(s):  
Experimental Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Information Security ◽  
Management Mode ◽  
Management Tool ◽  
Operating Efficiency ◽  
Management Information ◽  
Chain Management ◽  
Management Concepts

In the era of high informationization, supply chain management, as a symbol of a management era, brings us not only a new management tool, but also more importantly, updated management concepts and replanning, design, and ways to optimize business processes. The purpose of this article is to study the current information security issues that are common in China’s supply chain, such as the weak awareness of information security among corporate employees; the widespread disregard of information security management; the lack of a unified information security strategic planning and prevention mechanism; adverse selection risks and various defeats. In the specific application, starting from the overall business needs of the supply chain, referring to the framework of the supply chain information security system, through assessment and risk analysis, the security needs of the supply chain and its nodes are defined, and finally the e-commerce supply based on management information security is developed. Chain management mode. The experimental data show that the e-commerce supply chain management model based on management information security can effectively improve e-commerce operation efficiency and improve security performance. Experimental data show that the management mode of e-commerce supply chain management improves the security efficiency of e-commerce by about 20% and the operating efficiency by about 15%. The development of e-commerce is instructive.

scholarly journals Reengineering of supply chain management integrated scheduling processes

2018 ◽  
Vol 193 ◽  
pp. 05064 ◽  
Author(s):  
Ekaterina Kuleshova ◽  
Anastasia Levina ◽  
Rustam Esedulaev
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Business Process ◽  
Business Processes ◽  
Current Practice ◽  
Oil And Gas ◽  
Chain Management ◽  
Integrated Scheduling ◽  
Data Flows

The paper describes the principle of the reengineering of supply chain management integrated scheduling processes in order to increase in efficiency of business process and decrease the decision-making time at collision of plan-fact deviations. The basic concept of business-processes reengineering is analyzed. The experience of reengineering of supply chain integrated scheduling business processes for the oil and gas branch is presented. The bottlenecks of the current practice were revealed. The purpose of this paper is to carry out recommendations for improving business processes based on an analysis of the current realization of the process, his provision with information systems and data flows.

scholarly journals Penciptaan Model Pembelajaran Bisnis Melalui Game “Chochorillo : The Lost Receipes”

2017 ◽  
Vol 2 (1) ◽  
pp. 93
Author(s):  
Dhia Ayu Sabrina Soewandi
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Business Education ◽  
Business Processes ◽  
Educational Game ◽  
Business Practices ◽  
Learning Effects ◽  
Business Simulation ◽  
Chain Management ◽  
The World

Implementation of business education in the world of education is very important. However, many theories and teaching monotonous nature led to the knowledge of the business is difficult to be well understood. Thus, to introduce supply chain management as the business processes of an enterprise, it takes a learning method that is more innovative and creative as well as promoting business practices. One method of teaching that can address these problems is with education game business simulation genre. Chocorillo: The Lost Recipes is an educational game that teaches the business of business learning, especially concerning supply chain management which is packed with gameplay that is fun and exciting game story. This game there are 29 characters that the player can interact with them, doing quests from them, and resolve social problems that occur. The creation of this work is expected to generate business educational game that can provide learning effects without compromising the beauty aspect of the graphics so players do not get bored easily in use.Keywords: Android, game edukasi, bisnis, unity, supply chain management. AbstrakPenerapan pendidikan bisnis dalam dunia pendidikan merupakan hal yang sangat penting. Akan tetapi, banyaknya teori dan sifat pengajaran yang monoton menyebabkan pengetahuan akan bisnis sulit untuk dipahami dengan baik. Dengan demikian, untuk memperkenalkan supply chain management sebagai proses bisnis suatu perusahaan, dibutuhkan sebuah metode pembelajaran yang lebih inovatif dan kreatif serta mengedepankan praktik dalam bisnis. Salah satu metode pengajaran yang dapat menjawab permasalahan tersebut adalah dengan game edukasi bisnis bergenre simulasi. Chocorillo: The Lost Recipes merupakan game edukasi bisnis yang mengajarkan pembelajaran bisnis khususnya tentang supply chain management yang dikemas dengan gameplay yang menyenangkan dan game story yang menarik. Game ini terdapat 29 karakter yang pemain dapat berinteraksi dengan mereka, mengerjakan quest dari mereka, dan menyelesaikan permasalahan sosial yang terjadi. Penciptaan karya ini diharapkan dapat menghasilkan game edukasi bisnis yang dapat memberikan efek pembelajaran tanpa mengurangi aspek keindahan grafis sehingga pemain tidak mudah bosan dalam menggunakannya.Kata kunci: Android, game edukasi, bisnis, unity, supply chain management 

scholarly journals Understanding the value of big data in supply chain management and its business processes

2018 ◽  
Vol 38 (7) ◽  
pp. 1589-1614 ◽  
Author(s):  
Morten Brinch
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Business Process ◽  
Business Processes ◽  
Value Theory ◽  
Value Capture ◽  
Chain Management ◽  
Content Type ◽  
Process Perspective

Purpose The value of big data in supply chain management (SCM) is typically motivated by the improvement of business processes and decision-making practices. However, the aspect of value associated with big data in SCM is not well understood. The purpose of this paper is to mitigate the weakly understood nature of big data concerning big data’s value in SCM from a business process perspective. Design/methodology/approach A content-analysis-based literature review has been completed, in which an inductive and three-level coding procedure has been applied on 72 articles. Findings By identifying and defining constructs, a big data SCM framework is offered using business process theory and value theory as lenses. Value discovery, value creation and value capture represent different value dimensions and bring a multifaceted view on how to understand and realize the value of big data. Research limitations/implications This study further elucidates big data and SCM literature by adding additional insights to how the value of big data in SCM can be conceptualized. As a limitation, the constructs and assimilated measures need further empirical evidence. Practical implications Practitioners could adopt the findings for conceptualization of strategies and educational purposes. Furthermore, the findings give guidance on how to discover, create and capture the value of big data. Originality/value Extant SCM theory has provided various views to big data. This study synthesizes big data and brings a multifaceted view on its value from a business process perspective. Construct definitions, measures and research propositions are introduced as an important step to guide future studies and research designs.

Enterprise Applications for Supply Chain Management

2012 ◽  
pp. 1-11 ◽  
Author(s):  
Susan A. Sherer
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Business Processes ◽  
Information Infrastructure ◽  
Erp Systems ◽  
Chain Management ◽  
Enterprise Applications ◽  
Share Information

Although many companies have implemented ERP systems to track and share information across cross functional business processes, they often supplement them with legacy, custom, or best of breed applications to support supply chain execution and management. This article offers a framework for understanding all types of enterprise applications that support the supply chain. In this study, the authors organize these applications, define acronyms, and describe the various types of systems that make up an information infrastructure for supply chain management.

Costs and Benefits in Supply Chain Collaboration

2005 ◽  
pp. 258-284
Author(s):  
Tim S. McLaren ◽  
Milena M. Head ◽  
Yufei Yuan
Keyword(s):  
Supply Chain ◽  
Information Systems ◽  
Supply Chain Management ◽  
Web Services ◽  
Business Processes ◽  
Supply Chain Collaboration ◽  
Costs And Benefits ◽  
Chain Management ◽  
Complex Information ◽  
Business Applications

Recent advances in supply chain management information systems (SCM IS) have enabled firms to more fully collaborate with their supply chain partners — driving out costs while increasing responsiveness to market demands. This chapter examines various types of SCM IS — from traditional EDI systems to more recent Web-services-based e-business applications. It argues that the approach best suited for an organization depends in part on the degree of integration between the partners, the complexity of the business processes, and the number of partners involved. A model is presented for analyzing the costs and benefits that can be expected from each type of SCM IS. The model enables researchers and practitioners to better understand the differences among SCM IS and thus can help reduce the risks of implementing these valuable yet complex information systems.

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