scholarly journals Research on the Formation and Solution of the Bullwhip Effect of Electricity Material Reserve

2021 ◽  
Vol 2108 (1) ◽  
pp. 012055
Author(s):  
Wenlong Zeng ◽  
Fei Peng ◽  
Qiaozhang Hong ◽  
Jinsheng Liu
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Power System ◽  
Inventory Management ◽  
Power Supply ◽  
Bullwhip Effect ◽  
System Reform ◽  
Chain Management ◽  
Entire Process

Abstract With the deepening of the power system reform together with the transformation and development of power companies, the importance of supply chain management has become increasingly prominent. As an important part of the power supply chain management of power companies, the accuracy of electricity material reserves has an impact on the entire process of the company’s supply chain. This article analyzes the reasons for the bullwhip effect in the process of electricity material storage, points out the harm caused by the bullwhip effect, and proposes ways to weaken the bullwhip effect such as improving the accuracy of demand reserves, strengthening inventory management.

The Bullwhip Effect

2014 ◽  
Vol 5 (1) ◽  
pp. 33-51 ◽  
Author(s):  
Yohannes Yebabe
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Inventory Management ◽  
Demand Management ◽  
Simulated Data ◽  
Bullwhip Effect ◽  
Customer Relationship ◽  
Causality Analysis ◽  
Chain Management ◽  
The Impact

Supply chain management is a fledgling science which concerned with synchronization of both material flow and information flow by integrating companies for a common objective to meet the requirements of the end customer. Bullwhip effect is an important research topic of the supply chain management. The Bullwhip effect is precarious to both short and long run competitive advantage, the dependability sustainability advantage of the chain. This paper proposes to show the impact of the Bullwhip effect on the supply chain using experimentally simulated data from Beer distribution game. The game represents a simple supply chain which consists of factory, distributor, wholesaler and retailer. The paper used empirical models of ANOVA, spectral density estimation, ARMAX and Cochrane- Orcutt autoregression. The result of the study prevails that when we quantify the impact of the Bullwhip effect to different actors of the supply chain with respect of inventory holding cost and stock-out case it is found that different cost implications. When quantifying the impact of the Bullwhip effect to the whole supply chain it is found that at least one of the competitive advantages of the chain is lost. When generalizing it the all the actors in the supply chain will suffer from the Bullwhip effect. The overall evidence from statistical causality analysis suggest that without proper both intra-organizational and inter-organizational coordination of the companies across the supply chain it is difficult to have effective and efficient customer relationship management, customer demand management and inventory management.

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.

Big Data Analytics in the Agribusiness Supply Chain Management

2021 ◽  
Vol 9 (3) ◽  
pp. 32-42
Author(s):  
Marisol Valencia-Cárdenas ◽  
Jorge Anibal Restrepo-Morales ◽  
Francisco Javier Día-Serna
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Structural Equation Model ◽  
Inventory Management ◽  
Latent Variables ◽  
Structural Equation ◽  
Big Data Analytics ◽  
Equation Model ◽  
Chain Management

Importance and impact of the systems related to Agribusiness and Agri-food, are increasing around the world and demand a paramount attention. Collaboration in the inventory management is an integral part of the supply chain management, related to proactive integration among the chain actors facilitating production and supply, in especial in the agroindustrial sector of the Departamento de Antioquia, Colombia. This research establishes the main relationships between latent variables as collaboration, technology, models, optimization and inventory management, based on a literature review and applying a Structural Equation Model to a survey data of a sample of agribusiness companies. The results show that Available Technologies associated with Big Data, generates improvement of Collaboration Strategies, improving also Forecasting and Optimization; besides, Inventory Planning and Collaboration are related to Available Technologies associated with Big Data. A Poisson regression model and a Structural Equation Model estimations detect that the increasing strategies of technologies and Big Data are favorable to apply collaboration in the supply chain management, increasing possibilities to the enterprise competitiveness.

scholarly journals BENEFITS ASSESSMENT OF TRAINING ON SUPPLY CHAIN MANAGEMENT

2015 ◽  
Vol 7 (2) ◽  
Author(s):  
Claudemir L. Tramarico ◽  
Fernando A. S. Marins ◽  
Ligia M. S. Urbina ◽  
Valerio A. P. Salomon
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Inventory Management ◽  
Operations Management ◽  
Evaluation Model ◽  
Core Competencies ◽  
Critical Factor ◽  
Organizational Capability ◽  
Chain Management ◽  
Chemical Company

<p>Supply chain management (SCM) is a critical factor in the current global scenario. This organizational capability has a recent knowledge base, which is being accumulated, validated, and certified by groups like the Association for Operations Management (APICS). Therefore, training in SCM has been growing as one of the most convenient ways of becoming “Certified in Production and Inventory Management” (CPIM) from APICS. Companies all over the world have invested in SCM training; however, some companies have conditioned the continuity of their training programs to the benefits assessment. This paper contributes by proposing an evaluation model for specific program training on SCM. This model was applied in a global chemical company, which allowed capturing its impact on organizational and individual competencies, as well as on the core competencies. The proposed model includes the Analytic Hierarchy Process (AHP) and concepts in the SCM literature. The main result revealed by this research is that an SCM training based on APICS CPIM is really perceived as beneficial, in individual or organizational terms, for a real-world company. Therefore, this company should be confident that its SCM training program is improving and strengthening its core competencies.</p>

Supply Chain Management Practices, Competitive Advantage and Organizational Performance

2018 ◽  
pp. 1181-1207 ◽  
Author(s):  
Rajwinder Singh ◽  
H.S. Sandhu ◽  
B.A. Metri ◽  
Rajinder Kaur
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Customer Satisfaction ◽  
Competitive Advantage ◽  
Organizational Performance ◽  
Inventory Management ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Management Practices ◽  
Chain Management

Supply chain is the process of continuous flow of products or services from source to the destination. Supply chain management has become an effective tool now a day to survive in this competitive world. Organizations do their best to harvest profits by adopting better supply chain management practices for competitive advantage and organizational performance. In this paper an attempt has been made to understand the relationship among supply chain practices, competitive advantage, and organizational performance using structural equation modelling. This research conceptualizes and develops five secondary dimensions of supply chain practices (Use of technology, SC speed, Customer satisfaction, SC integration, and Inventory management). The research also identifies four primary competitive advantage components (Inventory management, Customer satisfaction, Profitability, and Customer base identification) and six primary organizational performance components (Financial Performance, Market performance, SC competencies, Customer satisfaction, Stakeholder satisfaction, and Innovation and learning). The data for analysis was collected from top 10 non-livestock organized retail players operating in Punjab, Haryana, Chandigarh, New Delhi and, Gurgaon in India. The relationships in the proposed framework were tested using structural equation modelling. The results indicate that Indian retailers know that competitive advantage has high impact on SCP but they have less understanding in matching SCP and competitive advantage with organizational performance.

Supply Chain Management Practices, Competitive Advantage and Organizational Performance

2018 ◽  
pp. 871-897
Author(s):  
Rajwinder Singh ◽  
H.S. Sandhu ◽  
B.A. Metri ◽  
Rajinder Kaur
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Customer Satisfaction ◽  
Competitive Advantage ◽  
Organizational Performance ◽  
Inventory Management ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Management Practices ◽  
Chain Management

Supply chain is the process of continuous flow of products or services from source to the destination. Supply chain management has become an effective tool now a day to survive in this competitive world. Organizations do their best to harvest profits by adopting better supply chain management practices for competitive advantage and organizational performance. In this paper an attempt has been made to understand the relationship among supply chain practices, competitive advantage, and organizational performance using structural equation modelling. This research conceptualizes and develops five secondary dimensions of supply chain practices (Use of technology, SC speed, Customer satisfaction, SC integration, and Inventory management). The research also identifies four primary competitive advantage components (Inventory management, Customer satisfaction, Profitability, and Customer base identification) and six primary organizational performance components (Financial Performance, Market performance, SC competencies, Customer satisfaction, Stakeholder satisfaction, and Innovation and learning). The data for analysis was collected from top 10 non-livestock organized retail players operating in Punjab, Haryana, Chandigarh, New Delhi and, Gurgaon in India. The relationships in the proposed framework were tested using structural equation modelling. The results indicate that Indian retailers know that competitive advantage has high impact on SCP but they have less understanding in matching SCP and competitive advantage with organizational performance.

Enabling the Glass Pipeline

2006 ◽  
pp. 291-309 ◽  
Author(s):  
Umar Ruhi ◽  
Ofir Turel
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Inventory Management ◽  
Mobile Technology ◽  
Information Exchange ◽  
Relationship Management ◽  
Customer Relationship ◽  
Mobile Technologies ◽  
Chain Management ◽  
Technology Applications

In recent years, the prospect of information exchange independent of time and place has been a compelling driver for organizations worldwide to adopt mobile technology applications in their various business practices. In particular, the application of mobile technology in Supply Chain Management has drawn widespread attention from researchers and practitioners who endorse adaptive and agile supply chain processes. This chapter discusses the applications of mobile technologies in various areas of supply chain management and the potential benefits of those technologies along the dimensions of reduced replenishment time and transactions and billing cycles. Among other discussions, the role of mobile procurement, inventory management, product identification, package tracking, sales force, and field service automation technologies is highlighted. To substantiate the basis for adopting mobile technologies for supplychain management, different market drivers for mobile applications are exemplified and applied to the three macro-level processes of supplier relationship management, internal supply chain management, and customer relationship management; a resulting typology of mobile supply chain management applications is presented.

A Flexible Supply Chain Management Game

2019 ◽  
Vol 50 (4) ◽  
pp. 461-482 ◽  
Author(s):  
Patra Shovityakool ◽  
Piyachat Jittam ◽  
Namkang Sriwattanarothai ◽  
Parames Laosinchai
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Inventory Management ◽  
Undergraduate Students ◽  
Educational Games ◽  
Learning Objectives ◽  
Management Game ◽  
Business World ◽  
Chain Management ◽  
Real World Situation

Background. Educational games are widely used in business classes in general, and supply chain management (SCM) classes in particular. These games are designed to familiarize students with the real business world. Most SCM games are ready-made, with pre-set learning objectives focusing on a certain module in a supply chain. Intervention. This article presents the new spreadsheet-based Flexible Supply Chain Management Game (FSCMG) and the findings of its pilot study. FSCMG’s features are transparent to instructors and students alike. It is easily modifiable to suit an instructor’s learning objectives. Method. Six groups of undergraduate students took turns playing three modules, namely a wholesaler, manufacturer, and supplier. There were two groups per module to represent two supply chains. The students’ spreadsheets are analyzed and presented. Results. Students’ spreadsheets revealed that they were able to employ SCM conceptual understanding in FSCMG, particularly pricing strategy, inventory management, forecasting, and the relationships within a supply chain. Conclusion. FSCGM helped the students apply their in-class knowledge in a real-world situation and be well prepared for their future careers where an extensive understanding is required.

A Web-Based Simulation Game for Teaching Supply Chain Management

2019 ◽  
Vol 5 (3) ◽  
pp. 265-274
Author(s):  
Ming-Ling Chuang
Keyword(s):  
Computer Simulation ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Graduate Students ◽  
Inventory Management ◽  
Simulation Game ◽  
Horizontal Integration ◽  
Web Based ◽  
Chain Management ◽  
Global Issues

Supply chain management (SCM) is a complex business discipline because it combines the concepts of forecasting, inventory management, logistics and distribution, vertical and horizontal integration, and global issues. This complexity creates a challenge when teaching the concepts to both undergraduate and graduate students. A web-based computer simulation can be very useful in helping students to grasp the difficult concepts. It helps students to think systematically and logically as they progress through scenarios with uncertainties and complexity. This article provides detailed implementation protocols for using a web-based SCM game including game descriptions, classroom pedagogy, and simulation assessment. Recommendations are also provided based on the instructor’s experience.

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