scholarly journals Bullwhip Effect Study in Leaf Organic Supply Chain

2021 ◽  
Vol 7 (1) ◽  
pp. 1-10
Author(s):  
Dwi Apriyani ◽  
Rita Nurmalina ◽  
Burhanuddin Burhanuddin
Keyword(s):  
Supply Chain ◽  
Coefficient Of Variation ◽  
Digital Technology ◽  
Secondary Data ◽  
Bullwhip Effect ◽  
Effect Study ◽  
Analysis Method ◽  
Measurement Results ◽  
Leaf Vegetable ◽  
Leaf Vegetables

The mismatch between the availability of vegetables and consumer demand is one of the causes of inefficient supply chains. This study aims to analyze the bullwhip effect on the organic leaf vegetable supply chain at PT Simply Fresh Organic (SFO). The analysis method used is a comparison between the coefficient of variation of orders created with the coefficient of variation in requests received by each supply chain institution. The data used are secondary data obtained from PT SFO. The measurement results show that the supply chain flow of organic leaf vegetables had a bullwhip effect at the PT SFO level and no bullwhip effect occurs at the retail level. The value of the BE supply chain value calculation at PT SFO shows a higher figure than at the retail level. The bullwhip effect at PT SFO occurred because of a rationing and shortage gaming policy. Therefore, each member of the supply chain must maintain transparency of data information and utilize digital technology to improve the accuracy of data forecasting requests and reservations quickly.

scholarly journals Bullwhip Effect Study in a Constrained Supply Chain

2014 ◽  
Vol 69 ◽  
pp. 63-71 ◽  
Author(s):  
Borut Buchmeister ◽  
Darko Friscic ◽  
Iztok Palcic
Keyword(s):  
Supply Chain ◽  
Bullwhip Effect ◽  
Effect Study

scholarly journals MENGUKUR BULLWHIP EFFECT PRODUK MAS (PADA JARINGAN SUPPLY CHAIN PT.SEMBILAN PILAR UTAMA DAN SWALAYAN KOYA)

2019 ◽  
Vol 12 (2) ◽  
pp. 101-117
Author(s):  
Anugrah Putra Jaya ◽  
Syamsul Bachri
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Coefficient Of Variation ◽  
Bullwhip Effect ◽  
Chain Management ◽  
Order Batching ◽  
Product Demand ◽  
Demand Prediction ◽  
Effect Method

The purpose of this study is to measure the bullwhip effect in supply chain MAS 240 ml in PT. Sembilan Pilar Utama and Swalayan Koya. This research measure method is using bullwhip effect method that presented by Fransoo and Wouters (2000). The results of research, we know that the bullwhip effect happened because of the coefficient of variation orders higher than the coefficient of variation in product demand, inaccurate demand prediction, and order batching. The solution that may be effective to reduce the bullwhip effect that occurs is more concerned with the pattern of order and the product demand.Keywords: supply chain management, bullwhip effect.

Customer–Supplier Relationships and Abnormal Accruals

2020 ◽  
Vol 23 (04) ◽  
pp. 2050027
Author(s):  
May Xiaoyan Bao ◽  
Matthew T. Billett ◽  
Yixin Liu
Keyword(s):  
Supply Chain ◽  
Coefficient Of Variation ◽  
Bullwhip Effect ◽  
Transmission Channel ◽  
Customer Demand ◽  
Demand Shock ◽  
Supplier Relationships ◽  
Amplification Ratio ◽  
Abnormal Accruals ◽  
The Impact

We investigate the relationship between customer and supplier firms’ abnormal accruals to examine whether the supply chain is an important transmission channel of abnormal accruals. We propose “earnings management” hypothesis and “customer demand shock” hypothesis. Empirically, we examine the relation between a supplier’s estimated abnormal accruals and those of its major customers using Compustat Business Segment Files over the period 1987–2015. To further explore the demand shock channel, we directly test the impact of the bullwhip effect (BWE) on the linkage in abnormal accruals along the supply chain. Following the literature in operation management, we construct the amplification ratio, measured as the coefficient of variation of a firm’s orders divided by the coefficient of variation of the firm’s demand. We find that customer firms’ demand shocks link customer and supplier abnormal accruals as they propagate along the supply chain, via the BWE. Our evidence supports “customer demand shock” hypothesis. Consistent with the view that improving predictions on orders from their customers would mitigate this BWE, we find that a customer’s abnormal accruals have a much smaller impact on those of its suppliers whose auditors have expertise in the customer’s industries. Overall, our results suggest that the supply chain is an important transmission channel of abnormal accruals, and auditor expertise serves to reduce information opaqueness during this process. Our paper contributes to the literature examining the impact of BWEs on firms’ financial performance and the role of auditors’ expertise in reducing information opaqueness in supply chain.

scholarly journals Analisis bullwhip effect dalam sistem rantai pasok pada produk Abon dan Dendeng Sapi Asri

2021 ◽  
Vol 13 (2) ◽  
pp. 169
Author(s):  
Indra Kusumajati Susanto ◽  
RR. Rieka F Hutami
Keyword(s):  
Supply Chain ◽  
Qualitative Methods ◽  
Quantitative Methods ◽  
Forecast Error ◽  
Secondary Data ◽  
Bullwhip Effect ◽  
Primary Data ◽  
Demand Forecast ◽  
Root Cause ◽  
Operational Management

One of the obstacles facing micro, small and medium-sized enterprises (MSMEs) in Indonesia is the bullwhip effect. The bullwhip effect is an event that occurs in the supply chain due to an increase in order fluctuations or order cancellations due to information distortions. This study aims to determine the value of the bullwhip effect and explain the main causes of its occurrence in order to explain about the approach to reducing the bullwhip effect in micro, small and medium-sized enterprises (MSMEs) in Indonesia that operational management can be maximized through operational management. This study uses quantitative methods to determine the value of the bullwhip effect. And qualitative methods are used to identify the root cause and reduction of the bullwhip effect. With primary data from interviews. In addition, secondary data comes from demand data and order data on products for distributors and retailers managed by the company. The results showed that the value of the bullwhip effect on the product at one of the micro, small and medium-sized enterprises (MSMEs) in Indonesia was almost completely above 1.00 and above the specified parameters. This provides information that there is a product bullwhip effect in one of the micro, small and medium-sized enterprises (MSMEs) in Indonesia. Meanwhile, the main cause of the bullwhip effect in one of the smallest, small and medium-sized enterprises (MSMEs) in Indonesia is a demand forecast error. 

scholarly journals Welcoming the life of society 5.0 in Indonesian education using soft system methodology

2021 ◽  
Vol 6 (1) ◽  
pp. 61-79
Author(s):  
Arif Bagas Adi Satria
Keyword(s):  
Qualitative Analysis ◽  
Digital Technology ◽  
Secondary Data ◽  
Analysis Method ◽  
Soft System Methodology ◽  
Western Education ◽  
Educational Methods ◽  
The People ◽  
System Methodology ◽  
Descriptive Qualitative

Commemorate the life of Society 5.0 cannot separate from utilization of the latest digital technology. Advanced the education of Indonesia is the duty of the people to become Indonesian nation, that is to enrich the life of the nation. The Education of Indonesia, which has been using for the stream of Western Education namely the class style (bank style), emphasizes tables, chairs and blackboards. We must replace with a more flexible style of education and millennial oriented, no longer rely on an old-fashioned educational methods. Therefore, we need an effort in welcoming life of Society 5.0 with Soft System Methodology utilization. The method used in this study is a descriptive qualitative analysis method with secondary data to describe the phenomena that occur in the field with sufficient and supporting data for this paper. Based on the studies that have carried out, we can conclude that the proper use of the Soft System Methodology can advance Indonesian Education to Welcoming the Society 5.0.

Blockchain in Supply Chain: Case Study of Lottemart Ciputat

2019 ◽  
Vol 5 (1) ◽  
pp. 38-49 ◽  
Author(s):  
B. K. Handoyo ◽  
M. R. Mashudi ◽  
H. P. Ipung
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Information Asymmetry ◽  
New Technology ◽  
Business Case ◽  
Analysis Method ◽  
Chain Management ◽  
Production Processes

Current supply chain methods are having difficulties in resolving problems arising from the lack of trust in supply chains. The root reason lies in two challenges brought to the traditional mechanism: self-interests of supply chain members and information asymmetry in production processes. Blockchain is a promising technology to address these problems. The key objective of this paper is to present qualitative analysis for blockchain in supply chain as the decision-making framework to implement this new technology. The analysis method used Val IT business case framework, validated by the expert judgements. The further study needs to be elaborated by either the existing organization that use blockchain or assessment by the organization that will use blockchain to improve their supply chain management.

A Review on the Application of Neural Networks for Decreasing Bullwhip Effect in Supply Chain

2015 ◽  
Vol 9 (5) ◽  
pp. 438
Author(s):  
Milad Yousefi ◽  
Moslem Yousefi ◽  
Ricardo Poley Martins Ferreira
Keyword(s):  
Neural Networks ◽  
Supply Chain ◽  
Bullwhip Effect

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.

The “Halalification” of tourism

2017 ◽  
Vol 8 (4) ◽  
pp. 558-577 ◽  
Author(s):  
Faiza Khan ◽  
Michelle Callanan
Keyword(s):  
Design Methodology ◽  
Secondary Data ◽  
Market Segment ◽  
Analysis Method ◽  
Review Of Literature ◽  
Primary Research ◽  
Content Type ◽  
Starting Point ◽  
Practical Implications

Purpose The purpose of this paper is to address the confusing use of terminology associated with tourism undertaken by Muslims and to identify key concerns associated with this type of tourism. Design/methodology/approach This is an exploratory study and adopts a critical review of literature following the evolutionary concept analysis method. Content analysis of popular UK media, UK-based tour operators’ websites and tourism strategies of destinations popular with Muslim tourists were conducted to examine the use of terminology. Findings There is no clear difference between the various terms (halal, Muslim friendly, Islamic, etc.) used. Overall, academia uses the term Islamic tourism, while the industry and media use various terms. Among destinations, however, there is no clear and consistent use of terminology. A key concern of Islamic tourism is the role of certification in assuring travellers and the lack of standardisation of halal certification. Research limitations/implications The paper is based on literature review and secondary data analysis. It lacks primary research. Practical implications This study highlights the need for consistent use of terminology across industry. Another implication is the issue surrounding halal certification of food and the importance of trust in the seller/service provide. Another trend that industry providers need to consider is the growth of the Muslim millennial traveller and the needs of this market segment. Originality/value The paper highlights the importance of studying the Muslim tourist market and provides a starting point for further research. It highlights several issues such as the need to develop a typology of Muslim tourists. Of particular interest is the concern whether halal values in danger of being commodified in the absence of a universal agreed criterion for halal certification.

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